Affiliation
Disciplines
Research projects
Completed research projects
Artificial intelligence – a novel tool in assisted reproduction technology
The project aims to improve the methods for selecting sperm and embryos and increase the chance of pregnancy and live-born children.
Strengthening solidarity for democratic unity across border (SOLIDEM)
The SOLIDEM project focuses on the weakening of trust and solidarity in European welfare states, including Norway.
Artificial intelligence - a novel tool in assisted reproduction technology
The project aims to improve the methods for selecting sperm and embryos and increase the chance of pregnancy and live-born children.
Publications and research
Scientific publications (334)
- Borgli, Hanna; Riegler, Michael; Stensland, Håkon Kvale; Halvorsen, Pål (2026). Map2VidSeg Revisited: A controlled-upgrade study of classifier-derived prompts for medical video segmentation. Artificial Intelligence in Medicine. Vol. 183
- Presacan, Oriana; Nik, Alireza Hossein Zadeh; Ojha, Jaya; Thambawita, Vajira L B; Ionescu, Bogdan; Riegler, Michael Alexander (2026). When silence is safer: a review and decision-theoretic framework for LLM abstention in healthcare. npj Digital Medicine. Vol. 9. p. 1-14
- Vo, Tuan L.; Nguyen, Thu; Ramos, Luis Miguel Lopez; Hammer, Hugo Lewi; Riegler, Michael Alexander; Halvorsen, Pål (2026). Explainability of machine learning models under missing data. Applied Soft Computing. Vol. 196
- Mørch-Pedersen, Marie; Nørregaard, Malene; Graff, Claus; Vad, Oliver B.; Lundegaard, Pia R.; Svendsen, Jesper Hastrup; Hansen, Torben; Linneberg, Allan; Jørgensen, Peter G.; Jensen, Magnus T.; Rossing, Peter; Ellervik, Christina; Linz, Dominik; Thambawita, Vajira L B; Maleckar, Mary Margot Catherine; Riegler, Michael Alexander; Kanters, Jørgen K.; Isaksen, Jonas L. (2026). Pooling cohorts for deep learning analysis: a potential source of bias for electrocardiogram analysis. Biomedical Signal Processing and Control. Vol. 122
- Torpmann-Hagen, Birk; Halvorsen, Pål; Riegler, Michael; Johansen, Dag (2026). Probabilistic Runtime Verification, Evaluation, and Risk Assessment of Visual Deep Learning Systems. ACM Transactions on Intelligent Systems and Technology (TIST). Vol. 17
- Vo, Tuan L.; Dang, Uyen; Nguyen, Thu; Halvorsen, Pål; Riegler, Michael; Nguyen, Binh T. (2026). DPERC: Direct Parameter Estimation for Mixed Data with Random Missingness. Lokoč, Jakub; Peška, Ladislav; Zahálka, Jan; Rudinac, Stevan; Kastner, Marc; Chen, Jingjing (Ed.). Proceedings of MultiMedia Modeling (MMM). Springer Nature Singapore
- Do, Thanh Tu; Hua, Van; Dang, Uyen; Nguyen, Thu; Hicks, Steven; Halvorsen, Pål; Riegler, Michael; Nguyen, Binh T. (2026). Low-Dimension Representation Estimation in Principal Component Analysis Under Missing Data. Lokoč, Jakub; Peška, Ladislav; Zahálka, Jan; Rudinac, Stevan; Kastner, Marc; Chen, Jingjing (Ed.). Proceedings of MultiMedia Modeling (MMM). Springer Nature Singapore
- Presacan, Oriana; Nik, Alireza; Thambawita, Vajira; Ionescu, Bogdan; Riegler, Michael (2026). A Comparative Study of Decoding Strategies in Medical Text Generation. Lokoč, Jakub; Peška, Ladislav; Zahálka, Jan; Rudinac, Stevan; Kastner, Marc; Chen, Jingjing (Ed.). Proceedings of MultiMedia Modeling (MMM). Springer Nature Singapore
- Ionescu, Bogdan; Müller, Henning; Stanciu, Dan-Cristian; Radzhabov, Ahmedkhan; Herrera, Alba García Seco de; Andrei, Alexandra-Georgiana; Băicoianu, Alexandra; Neacşu, Ana; Storås, Andrea; Abacha, Asma Ben; Bracke, Benjamin; Reinartz, Lea; Lecouteux, Benjamin; Friedrich, Christoph M.; Schmidt, Cynthia Sabrina; Florea, Corneliu-Nicolae; Fabre, Diandra; Schwab, Didier; Dimitrov, Dimitar; Esperança-Rodier, Emmanuelle; Constantin, Gabriel; Damm, Hendrik; Schäfer, Henning; Koychev, Ivan; Mothe, Josiane; Ştefan, Liviu-Daniel; Hjuler, Maja J.; Kurt, Mehmet; Yetisgen, Meliha; Riegler, Michael; Dogariu, Mihai; Ivanovici, Mihai; Hee, Ming Shan; Sakka, Mohammad El; Ahsan, Momina; Pelka, Obioma; Halvorsen, Pål; Nakov, Preslav; Brüngel, Raphael; Ahmad, Sarfraz; Hicks, Steven; Gautam, Sushant; Pakull, Tabea M. G.; Eryılmaz, Bahadır; Thambawita, Vajira L B; Kovalev, Vassili; Yim, Wen-Wai; Prokopchuk, Yuri; Xie, Zhuohan (2026). ImageCLEF 2026: Multimodal Challenges in Medicine, Science, Agritech, and Security. Campos, Ricardo; Jatowt, Adam; Lan, Yanyan; Aliannejadi, Mohammad; Bauer, Christine; MacAvaney, Sean (Ed.). Advances in Information Retrieval 48th European Conference on Information Retrieval, ECIR 2026 Delft, The Netherlands, March 29 – April 2, 2026 Proceedings, Part III. Springer Nature
- Stummer, Florian O.; Tsai, Timothy; Wikberg, Carl; Nymberg, Veronica Milos; Radlgruber, Ilja; Müller, Angelina; Riegler, Michael Alexander; Petrazzuoli, Ferdinando; Vinker, Shlomo; Frese, Thomas (2026). Misaligned by design: evaluating and deploying generative AI for the real-world conditions of primary care: a Nordic and European perspective. Scandinavian Journal of Primary Health Care. Vol. 44
- Kakulavarapu, Radhika; Delbarre, Erwan; Sharma, Akriti; Jahanlu, David; Riegler, Michael Alexander; Haugen, Trine B.; Iliceto, Mario; Stensen, Mette Haug (2026). Investigating discrepancies in accuracy, agreement and interpretability for single-frame embryo classification tasks conducted by embryologists and deep learning models. Frontiers in Reproductive Health. Vol. 8
- Boeker, Matthias; Alexandersen, Andreas; Thambawita, Vajira; Midoglu, Cise; Johansen, Dag; Riegler, Michael; Halvorsen, Pål (2026). REST, Exploring Sleep Patterns and Influencing Factors in Elite Female Football Athletes. Scientific Data. Vol. 13
- Mondal, Ayan; Chatterjee, Ayan; Riegler, Michael (2026). Gastrointestinal image classification with GIDNet CNN model and non-linear Tansh activation function. Computers in Biology and Medicine. Vol. 204
- P., Le, Lien; Xuan-Hien, Nguyen, Thi; Nguyen, Thu; Riegler, Michael; Halvorsen, Pål; T., Nguyen, Binh (2026). Data Imputation for Noisy Time-Series Data in Healthcare. Nguyen, Ngoc Thanh; Anh, Vu Dinh Duc; Kozierkiewic, Adrianna; Van, Sinh Nguyen; Núñez, Manuel; Treur, Jan (Ed.). Computational Collective Intelligence: 17th International Conference, ICCCI 2025, Ho Chi Minh City, Vietnam, November 12–15, 2025, Proceedings, Part II | SpringerLink. Springer
- Sarkhoosh, Mehdi Houshmand; Gautam, Sushant; Midoglu, Cise; Nguyen, Thu; Held, Jan; Cioppa, Anthony; Giancola, Silvio; Thambawita, Vajira; Riegler, Michael; Halvorsen, Pål (2025). Beyond Audio: Enhancing SoccerNet-Echoes with Multimodal Event Extraction Using LLMs. International Journal of Semantic Computing (IJSC). Vol. 19. p. 589-613
- Salehi, Pegah; Sheshkal, Sajad Amouei; Thambawita, Vajira; Riegler, Michael; Halvorsen, Pål (2025). Multimodal Integration Challenges in Emotionally Expressive Child Avatars for Training Applications. Nordic Machine Intelligence (NMI). Vol. 5. p. 46-46
- Gautam, Sushant; Midoglu, Cise; Thambawita, Vajira L B; Riegler, Michael; Halvorsen, Pål; Shah, Mubarak (2025). SoccerChat: Integrating Multimodal Data for Enhanced Soccer Game Understanding. None (Ed.). 2025 International Conference on Content-Based Multimedia Indexing (CBMI). IEEE (Institute of Electrical and Electronics Engineers)
- Isaksen, Jonas L.; Nørregaard, Malene; Manninger, Martin; Dobrev, Dobromir; Jespersen, Thomas; Hermans, Ben; Heijman, Jordi; Plank, Gernot; Scherr, Daniel; Pock, Thomas; Thambawita, Vajira L B; Riegler, Michael; Kanters, Jørgen K.; Linz, Dominik (2025). Evaluating artificial intelligence-enabled medical tests in cardiology: Best practice. International journal of cardiology: Heart and Vasculature (IJCHA). Vol. 60. p. 101783-101783
- Riegler, Michael; Hellton, Kristoffer Herland; Thambawita, Vajira L B; Hammer, Hugo Lewi (2025). Using large language models to suggest informative prior distributions in Bayesian regression analysis. Scientific Reports. Vol. 15
- Presacan, Oriana; Mesa, María Hernández; Aldea, Alexandru C.; Andresen, Siri; Outa, Amani al; Johannessen, Julie Aarmo; Ionescu, Bogdan; Knævelsrud, Helene; Riegler, Michael (2025). Explainable AI to unveil cellular autophagy dynamics. PLOS ONE. Vol. 20
- Vikan, Magnhild; Aryan, Ramtin; Kannelønning, Mari Serine; Riegler, Michael; Danielsen, Stein Ove (2025). Reflecting on LLM Support in Reflexive Thematic Analysis: An Exploratory Study. Qualitative Health Research
- Hammer, Hugo Lewi; Thambawita, Vajira; Riegler, Michael (2025). Foundation models: the next level of AI in ART. Human Reproduction. Vol. 40. p. 1595-1604
- Duric, Adrian; Tørresen, Jim; Riegler, Michael; Hammer, Hugo Lewi (2025). Explanation Supported Learning: Improving Prediction Performance with Explainable Artificial Intelligence. IEEE International Symposium on Computer-Based Medical Systems. p. 591-598
- Gautam, Sushant; Riegler, Michael Alexander; Halvorsen, Pål (2025). Point, Detect, Count: Multi-Task Medical Image Understanding with Instruction-Tuned Vision-Language Models. IEEE International Symposium on Computer-Based Medical Systems. p. 415-422
- Gautam, Sushant; Thambawita, Vajira L B; Riegler, Michael Alexander; Halvorsen, Pål; Hicks, Steven (2025). Overview of ImageCLEFmedical 2025 – Visual Question Answering and Synthetic Image Generation for Gastrointestinal Tract. CEUR Workshop Proceedings. Vol. 4038. p. 2224-2232
- Chen, Shuwen; Fan, Shicheng; Qiao, Zheng; Wu, Zixiong; Lin, BaoBao; Li, Zhijie; Riegler, Michael Alexander; Wong, Matthew Yu Heng; Opheim, Arve Isak; Korostynska, Olga; Nielsen, Kaare Magne; Glott, Thomas; Martinsen, Anne Catrine Trægde; Telle-Hansen, Vibeke; Lim, Chwee Tech (2025). Transforming Healthcare: Intelligent Wearable Sensors Empowered by Smart Materials and Artificial Intelligence. Advanced Materials
- Sharma, Akriti; Dorobantiu, Alexandru; Ali, Saquib; Iliceto, Mario; Stensen, Mette Haug; Delbarre, Erwan; Riegler, Michael; Hammer, Hugo Lewi (2025). Deep learning methods to forecasting human embryo development in time-lapse videos. PLOS ONE. Vol. 20
- Brubacher, Sonja; Johnson, Miriam; Hassan, Syed; Riegler, Michael; Halvorsen, Pål; Baugerud, Gunn (2025). Experts' Views on Artificial Intelligence-Based Child Chatbots to Train Investigative Interviewing Skills. Applied Cognitive Psychology. Vol. 39
- Drejer, Catharina Sofie Rodenburg; Riegler, Michael; Baugerud, Gunn Astrid (2025). Live-streamed child sexual abuse: Analysis of Norwegian criminal cases. Child Abuse & Neglect. Vol. 168
- Brubacher, Sonja P; Powell, Martine; Johnson, Miriam Sinkerud; Cano, Cayetana López; Hassan, Syed Zohaib; Riegler, Michael Alexander; Halvorsen, Pål; Baugerud, Gunn Astrid (2025). Experts' Views on Artifical Intelligence-Based Child Chatbots to Train Investigative Interviewing Skills. Applied Cognitive Psychology. Vol. 39
- Storås, Andrea; Mæland, Steffen; Isaksen, Jonas; Hicks, Steven; Thambawita, Vajira; Hammer, Hugo; Halvorsen, Pål; Riegler, Michael (2025). Evaluating gradient-based explanation methods for neural network ECG analysis using heatmaps. Journal of the American Medical Informatics Association (JAMIA). Vol. 32. p. 79-88
- Papachrysos, Nikolaos; Smedsrud, Pia Helen; Ånonsen, Kim Vidar; Berstad, Tor Jan; Espeland, Håvard; Petlund, Andreas; Hedenström, Per; Halvorsen, Pål; Varkey, Jonas; Hammer, Hugo Lewi; Riegler, Michael Alexander; Lange, Thomas de (2025). A comparative study benchmarking colon polyp with computer-aided detection (CADe) software. DEN Open. Vol. 5
- Presacan, Oriana; Dorobantiu, Alexandru; Riegler, Michael; Thambawita, Vajira; Sridhar, Arun R. (2025). Evaluating the Feasibility of 12-Lead ECG Reconstruction from Limited Leads Using Deep Learning. Communications Medicine. Vol. 5
- Gautam, Sushant; Thambawita, Vajira L B; Riegler, Michael; Halvorsen, Pål; Hicks, Steven (2025). Medico 2025: Visual Question Answering for Gastrointestinal Imaging. Multimedia Evaluation Benchmark (MediaEval)
- Borgli, Hanna; Riegler, Michael; Stensland, Håkon Kvale; Halvorsen, Pål (2025). Automatic Prompt Generation for Zero-Shot Single Object Frame Segmentation in Videos Using Classification Models: A Polyp Case Study. González, Alejandro Rodríguez; Sicilia, Rosa; Santamaría, Lucía Prieto; Papadopoulos, George A.; Guarrasi, Valerio (Ed.). Proceedings of 38th IEEE International Symposium on Computer-Based Medical Systems (CBMS). IEEE Computer Society
- Ide, Ichiro; Kompatsiaris, Ioannis; Xu, Changsheng; Yanai, Keiji; Chu, Wei-Ta; Nitta, Naoko; Riegler, Michael; Yamasaki, Toshihiko (2025). MultiMedia Modeling: 31st International Conference on Multimedia Modeling, MMM 2025, Nara, Japan, January 8–10, 2025, Proceedings, Part V | Springer Nature Link. 387 p.. Springer
- Ionescu, Bogdan; Müller, Henning; Stanciu, Dan-Cristian; Andrei, Alexandra-Georgiana; Radzhabov, Ahmedkhan; Prokopchuk, Yuri; Ştefan, Liviu-Daniel; Constantin, Mihai Gabriel; Dogariu, Mihai; Kovalev, Vassili; Damm, Hendrik; Rückert, Johannes; Abacha, Asma Ben; Herrera, Alba G. Seco de; Friedrich, Christoph M.; Bloch, Louise; Brüngel, Raphael; Idrissi-Yaghir, Ahmad; Schäfer, Henning; Schmidt, Cynthia Sabrina; Pakull, Tabea M. G.; Bracke, Benjamin; Pelka, Obioma; Eryılmaz, Bahadır; Becker, Helmut; Yim, Wen-Wai; Codella, Noel; Novoa, Roberto Andres; Malvehy, Josep; Dimitrov, Dimitar; Das, Rocktim Jyoti; Xie, Zhuohan; Hee, Ming Shan; Nakov, Preslav; Koychev, Ivan; Hicks, Steven; Gautam, Sushant; Riegler, Michael; Thambawita, Vajira L B; Halvorsen, Pål; Fabre, Diandra; Macaire, Cécile; Lecouteux, Benjamin; Schwab, Didier; Potthast, Martin; Heinrich, Maximilian; Kiesel, Johannes; Wolter, Moritz; Anand, Sharat; Stein, Benno (2025). Overview of ImageCLEF 2025: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications. Carrillo-de-Albornoz, Jorge (Ed.). Experimental IR Meets Multilinguality, Multimodality, and Interaction (CLEF 2025).. Springer Publishing Company
- Ionescu, Bogdan; Müller, Henning; Stanciu, Dan-Cristian; Idrissi-Yaghir, Ahmad; Radzhabov, Ahmedkhan; Herrera, Alba García Seco de; Andrei, Alexandra; Storås, Andrea; Abacha, Asma Ben; Bracke, Benjamin; Lecouteux, Benjamin; Stein, Benno; Macaire, Cécile; Friedrich, Christoph M.; Schmidt, Cynthia Sabrina; Fabre, Diandra; Schwab, Didier; Dimitrov, Dimitar; Esperança-Rodier, Emmanuelle; Constantin, Gabriel; Becker, Helmut; Damm, Hendrik; Schäfer, Henning; Rodkin, Ivan; Koychev, Ivan; Kiesel, Johannes; Rückert, Johannes; Malvehy, Josep; Ștefan, Liviu-Daniel; Bloch, Louise; Potthast, Martin; Heinrich, Maximilian; Riegler, Michael; Dogariu, Mihai; Codella, Noel; Halvorsen, Pål; Nakov, Preslav; Brüngel, Raphael; Novoa, Roberto Andres; Das, Rocktim Jyoti; Hicks, Steven; Gautam, Sushant; Pakull, Tabea M. G.; Thambawita, Vajira L B; Kovalev, Vassili; Yim, Wen-Wai; Xie, Zhuohan (2025). ImageCLEF 2025: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications. Hauff, Claudia; Macdonald, Craig; Jannach, Dietmar; Kazai, Gabriella; Nardini, Franco Maria; Pinelli, Fabio (Ed.). Proc. of Advances in Information Retrieval (ECIR 2025). Springer Nature Switzerland
- Gautam, Sushant; Riegler, Michael; Halvorsen, Pål (2025). Kvasir-VQA-x1:A Multimodal Dataset for Medical Reasoning and Robust MedVQA in Gastrointestinal Endoscopy. Bhattarai, Binod; Rau, Anita; Caramalau, Razvan; Reinke, Annika; Nguyen, Anh; Namburete, Ana (Ed.). Data Engineering in Medical Imaging. Springer Nature Switzerland
- Nik, Alireza Hossein Zadeh; Riegler, Michael; Halvorsen, Pål (2025). Impact of decoding strategies on GPU energy usage in large language model text generation. Scientific Reports
- Nguyen, Thu; Dang, Uyen; Vo, Tuan L.; Halvorsen, Pål; Riegler, Michael (2025). Imputation Using Training Labels and Classification via Label Imputation. IEEE Access. Vol. 13
- Chatterjee, Ayan; Riegler, Michael; Halvorsen, Pål (2025). Designing an ethical and explainable automatic coaching (eCoach) system for community based, persuasive recommendations. Multimedia Tools and Applications. Vol. 84. p. 50001-50035
- Lien, Le; Nguyen, Thu; Riegler, Michael Alexander; Halvorsen, Pål; Nguyen, Binh (2025). Multimodal missing data in healthcare: A comprehensive review and future directions. Computer Science Review. Vol. 56
- Presacan, Oriana; Dorobanţiu, Alexandru; Isaksen, Jonas L.; Willi, Tobias; Graff, Claus; Riegler, Michael Alexander; Sridhar, Arun R.; Kanters, Jørgen K.; Thambawita, Vajira L B (2025). Evaluating the feasibility of 12-lead electrocardiogram reconstruction from limited leads using deep learning. Communications Medicine. Vol. 5
- Salehi, Pegah; Sheshkal, Sajad Amouei; Thambawita, Vajira L B; Gautam, Sushant; Sabet, Saeed Shafiee; Johansen, Dag; Riegler, Michael Alexander; Halvorsen, Pål (2025). Comparative Analysis of Audio Feature Extraction for Real-Time Talking Portrait Synthesis. Big Data and Cognitive Computing. Vol. 9
- Torpmann-Hagen, Birk Sebastian Frostelid; Riegler, Michael Alexander; Halvorsen, Pål; Johansen, Dag (2025). Runtime Verification for Visual Deep Learning Systems With Loss Prediction. IEEE Access. Vol. 13. p. 48502-48519
- Presacan, Oriana; Dorobanţiu, Alexandru; Thambawita, Vajira L B; Riegler, Michael Alexander; Stensen, Mette Haug; Iliceto, Mario; Aldea, Alexandru; Sharma, Akriti (2025). Merging synthetic and real embryo data for advanced AI predictions. Scientific Reports. Vol. 15
- Jha, Debesh; Sharma, Vanshali; Banik, Debapriya; Bhattacharya, Debayan; Roy, Kaushiki; Hicks, Steven; Tomar, Nikhil Kumar; Thambawita, Vajira L B; Krenzer, Adrian; Ji, Ge-Peng; Poudel, Sahadev; Batchkala, George; Alam, Saruar; Ahmed, Awadelrahman Mohamedelsadig Ali; Trinh, Quoc-Huy; Khan, Zeshan; Nguyen, Tien-Phat; Shrestha, Shruti; Nathan, Sabari; Gwak, Jeonghwan Gwak; Jha, Ritika Kumari; Zhang, Zheyuan; Schlaefer, Alexander; Bhattacharjee, Debotosh; Bhuyan, M.K.; Das, Pradip K.; Fan, Deng-Ping; Parasa, Sravanthi; Ali, Sharib; Riegler, Michael Alexander; Halvorsen, Pål; Lange, Thomas de; Bagci, Ulas (2025). Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges. Medical Image Analysis. Vol. 99
- Storås, Andrea; Dreyer, Maximilian; Pahde, Frederik; Lapuschkin, Sebastian; Samek, Wojciech; Halvorsen, Pål; Lange, Thomas de; Mori, Yuichi; Hann, Alexander; Berzin, Tyler M.; Parasa, Sravanthi; Riegler, Michael (2025). Exploring the clinical value of concept-based AI explanations in gastrointestinal disease detection. Scientific Reports. Vol. 15
- Chatterjee, Ayan; Thambawita, Vajira L B; Riegler, Michael; Halvorsen, Pål (2025). Supervised Anomaly Detection in Univariate Time-Series Using 1D Convolutional Siamese Networks. IEEE Access. Vol. 13. p. 70980-71006
- Chatterjee, Ayan; Riegler, Michael Alexander; Ganesh, K.; Halvorsen, Pål (2025). Stress management with HRV following AI, semantic ontology, genetic algorithm and tree explainer. Scientific Reports. Vol. 15
- Garcia-Ceja, Enrique; Stautland, Andrea; Riegler, Michael; Halvorsen, Pål; Hinojosa, Salvador; Ochoa-Ruiz, Gilberto; Berle, Jan Øystein; Førland, Wenche; Mjeldheim, Kristin; Ødegaard, Ketil Joachim; Jakobsen, Petter (2025). OBF-Psychiatric, a motor activity dataset of patients diagnosed with major depression, schizophrenia, and ADHD. Scientific Data. Vol. 12
- Ahmed, Azza H.; Riegler, Michael (2024). Brain-Inspired Real Time Anomaly Detection System for Mobile Networks. IEEE International Conference on Communications
- Abdulghani, Ahlam; Ahmed, Azza; Riegler, Michael; Cicic, Tarik (2024). An Intent-based Networks Framework based on Large Language Models. IEEE Conference on Network Softwarization (NetSoft)
- Salehi, Pegah; Hassan, Syed Zohaib; Baugerud, Gunn Astrid; Powell, Martine; Johnson, Miriam S.; Johansen, Dag; Sabet, Saeed Shafiee; Riegler, Michael; Halvorsen, Pål (2024). A Theoretical and Empirical Analysis of 2D and 3D Virtual Environments in Training for Child Interview Skills. IEEE Access. Vol. 12. p. 131842-131864
- Salehi, Pegah; Hassan, Syed Zohaib; Baugerud, Gunn Astrid; Powell, Martine; Cano, Cayetana López; Johnson, Miriam S.; Røed, Ragnhild Klingenberg; Johansen, Dag; Sabet, Saeed Shafiee; Riegler, Michael; Halvorsen, Pål (2024). Immersive Virtual Reality in Child Skills Interview Training: A Comparison of 2D And 3D environment. Rossi, Silvia; Muchaluat-Saade, Débora Christina; Röggla, Thomas (Ed.). MMVE’ 2024 Proceedings of the 2024 16th International Workshop on Immersive Mixed and Virtual Environment Systems. Association for Computing Machinery (ACM)
- Sheshkal, Sajad Amouei; Gundersen, Morten Pensgård; Riegler, Michael; Utheim, Øygunn Aass; Gundersen, Kjell Gunnar; Rootwelt, Helge; Elgstøen, Katja B. Prestø; Hammer, Hugo Lewi (2024). Classifying Dry Eye Disease Patients from Healthy Controls Using Machine Learning and Metabolomics Data. Diagnostics (Basel). Vol. 14
- Boeker, Matthias; Swarbrick, Dana; Côté-Allard, Ulysse; Riegler, Michael; Halvorsen, Pål; Hammer, Hugo Lewi (2024). Predictive Modelling of Muscle Fatigue in Climbing. Lienhart, Rainer; Moeslund, Thomas B.; Saito, Hideo (Ed.). MMSports '24: Proceedings of the 7th ACM International Workshop on Multimedia Content Analysis in Sports. Association for Computing Machinery (ACM)
- Sharma, Akriti; Kakulavarapu, Radhika; Alawad, Faiga Mohammad Mohammad Ahmed; Iliceto, Mario; Riegler, Michael Alexander; Stensen, Mette Haug; Hammer, Hugo Lewi (2024). Exploring Embryo Development at the Morula Stage - an AI-based Approach to Determine Whether to Use or Discard an Embryo. Ogul, Hasan; Moræus, Jonas Aamodt (Ed.). 2024 4th International Conference on Applied Artificial Intelligence (ICAPAI). IEEE (Institute of Electrical and Electronics Engineers)
- Vo, Minh-Quan; Nguyen, Thu; Riegler, Michael; Hammer, Hugo Lewi (2024). Efficient Estimation of Generative Models Using Tukey Depth. Algorithms. Vol. 17
- Svennevik, Hanna; Hicks, Steven; Riegler, Michael; Storelvmo, Trude; Hammer, Hugo Lewi (2024). A dataset for predicting cloud cover over Europe. Scientific Data. Vol. 11. p. 1-7
- Storås, Andrea; Mæland, Steffen; Isaksen, Jonas L; Hicks, Steven Alexander; Thambawita, Vajira L B; Graff, Claus; Hammer, Hugo Lewi; Halvorsen, Pål; Riegler, Michael Alexander; Kanters, Jørgen K (2024). Evaluating gradient-based explanation methods for neural network ECG analysis using heatmaps. JAMIA Journal of the American Medical Informatics Association. Vol. 32. p. 79-88
- Portales, Stephanie; Riegler, Michael (2024). Maleficent Neural Networks, the Embedding of Malware in Neural Networks: A Survey. IEEE Access
- Chatterjee, Ayan; Gerdes, Martin; Prinz, Andreas; Riegler, Michael; Martinez, Santiago (2024). Semantic representation and comparative analysis of physical activity sensor observations using MOX2-5 sensor in real and synthetic datasets: a proof-of-concept-study. Scientific Reports. Vol. 14. p. 1-21
- Parasa, Sravanthi; Berzin, Tyler; Leggett, Cadman; Gross, Seth; Repici, Alessandro; Ahmad, Omer F.; Chiang, Austin; Coelho-Prabhu, Nayantara; Cohen, Jonathan; Dekker, Evelien; Keswani, Rajesh N.; Kahn, Charles E.; Hassan, Cesare; Petrick, Nicholas; Mountney, Peter; Ng, Jonathan; Riegler, Michael; Mori, Yuichi; Saito, Yutaka; Thakkar, Shyam; Waxman, Irving; Wallace, Michael Bradley; Sharma, Prateek (2024). Consensus statements on the current landscape of artificial intelligence applications in endoscopy, addressing roadblocks, and advancing artificial intelligence in gastroenterology. Gastrointestinal Endoscopy
- Hicks, Steven; Storås, Andrea; Halvorsen, Pål; Riegler, Michael Alexander; Thambawita, Vajira L B (2024). Overview of ImageCLEFmedical 2024 – Medical Visual Question Answering for Gastrointestinal Tract. CEUR Workshop Proceedings. Vol. 3740. p. 1429-1436
- Ionescu, Bogdan; Müller, Henning; Dragulinescu, Ana-Maria; Idrissi-Yaghir, Ahmad; Radzhabov, Ahmedkhan; Herrera, Alba Garcia Seco de; Andrei, Alexandra; Stan, Alexandru; Storås, Andrea; Abacha, Asma Ben; Lecouteux, Benjamin; Stein, Benno; Macaire, Cécile; Friedrich, Christoph M.; Schmidt, Cynthia Sabrina; Schwab, Didier; Esperança-Rodier, Emmanuelle; Ioannidis, George; Adams, Griffin; Schäfer, Henning; Manguinhas, Hugo; Coman, Ioan; Schöler, Johanna; Kiesel, Johannes; Rückert, Johannes; Bloch, Louise; Potthast, Martin; Heinrich, Maximilian; Yetisgen, Meliha; Riegler, Michael Alexander; Halvorsen, Pål; Brüngel, Raphael; Hicks, Steven; Thambawita, Vajira L B; Kovalev, Vassili; Prokopchuk, Yuri; Yim, Wen-Wai (2024). Advancing Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications with ImageCLEF 2024. Advances in Information Retrieval
- Midoglu, Cise; Winther, Andreas Kjæreng; Boeker, Matthias; Pettersen, Susann Dahl; Pedersen, Sigurd; Ragab, Nourhan; Kupka, Tomas; Hicks, Steven; Thomsen, Morten Bredsgaard Randers; Jain, Ramesh; Dagenborg, Håvard Johansen; Pettersen, Svein Arne; Johansen, Dag; Riegler, Michael Alexander; Halvorsen, Pål (2024). A large-scale multivariate soccer athlete health, performance, and position monitoring dataset. Scientific Data. Vol. 11
- Ali, Sharib; Ghatwary, Noha; Jha, Debesh; Isik-Polat, Ece; Polat, Gorkem; Yang, Cheng; Li, Wuyang; Galdran, Adrian; Ballester, Miguel Angel Gonzalez; Thambawita, Vajira L B; Hicks, Steven; Poudel, Sahadev; Lee, Sang-Woong; Jin, Ziyi; Gan, Tianyuan; Yu, Chenghui; Yan, JiangPeng; Yeo, Doyeob; Lee, Hyunseok Lee; Tomar, Nikhil Kumar; Haitham, Mahmood; Ahmed, Amr; Riegler, Michael Alexander; Daul, Christian; Halvorsen, Pål; Rittscher, Jens; Salem, Osama E.; Lamarque, Dominique; Cannizzaro, Renato; Realdon, Stefano; Lange, Thomas de; East, James E (2024). Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge. Scientific Reports. Vol. 14
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- Torpmann-Hagen, Birk Sebastian Frostelid; Riegler, Michael; Halvorsen, Pål; Johansen, Dag (2024). A Robust Framework for Distributional Shift Detection Under Sample-Bias. IEEE Access. Vol. 12. p. 59598-59611
- Do, Tu T.; Vu, Anh M.; Vo, Tuan L.; Ly, Hoang Thien; Nguyen, Thu; Hicks, Steven; Halvorsen, Pål; Riegler, Michael; Nguyen, Binh T. (2024). Blockwise Principal Component Analysis for monotone missing data imputation and dimensionality reduction. Hirose, Akira; Ishibuchi, Hisao (Ed.). 2024 International Joint Conference on Neural Networks (IJCNN). IEEE (Institute of Electrical and Electronics Engineers)
- Chatterjee, Ayan; Riegler, Michael; Johnson, Miriam S.; Das, Jishnu; Pahari, Nibedita; Ramachandra, Raghavendra; Ghosh, Bikramaditya; Saha, Arpan; Bajpai, Ram (2024). Exploring online public survey lifestyle datasets with statistical analysis, machine learning and semantic ontology. Scientific Reports. Vol. 14
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- Kassab, Evan Jåsund; Solberg, Håkon Maric; Gautam, Sushant; Sabet, Saeed Shafiee; Torjusen, Thomas; Riegler, Michael Alexander; Halvorsen, Pål; Midoglu, Cise (2024). TACDEC: Dataset of Tackle Events in Soccer Game Videos. Martini, Maria; Timmerer, Christian (Ed.). MMSys '24: ACM Multimedia Systems Conference, Proceeding. Association for Computing Machinery (ACM)
- Hicks, Steven; Storås, Andrea; Riegler, Michael; Midoglu, Cise; Hammou, Malek; Lange, Thomas de; Parasa, Sravanthi; Halvorsen, Pål; Strumke, Inga (2024). Visual explanations for polyp detection: How medical doctors assess intrinsic versus extrinsic explanations. PLOS ONE. Vol. 19
- Gautam, Sushant; Storås, Andrea; Midoglu, Cise; Hicks, Steven; Thambawita, Vajira L B; Halvorsen, Pål; Riegler, Michael Alexander (2024). Kvasir-VQA: A Text-Image Pair GI Tract Dataset. Naseem, Usman; Surendrabikram, Thapa; Zhou, Luping; Zhou, Jinman (Ed.). VLM4Bio'24: Proceedings of the First International Workshop on Vision-Language Models for Biomedical Applications, in the 32nd ACM International Conference on Multimedia. Association for Computing Machinery (ACM)
- Nguyen, Duc Tien Dang; Khan, Sohail Ahmed; Riegler, Michael; Halvorsen, Pål; Tran, Anh-Duy; Dao, Minh-Son; Tran, Minh-Triet (2024). Overview of the Grand Challenge on Detecting Cheapfakes at ACM ICMR 2024. Gurrin, Cathal; Kongkachandra, Rachada; Schoeffmann, Klaus (Ed.). ICMR '24: Proceedings of the 2024 International Conference on Multimedia Retrieval. Association for Computing Machinery (ACM)
- Voo, Tuan; Do, Quan Huu; Nguyen, Thu; Halvorsen, Pål; Riegler, Michael Alexander; Nguyen, Binh (2024). The Effects of Data Imputation on Covariance and Inverse Covariance Matrix Estimation. IEEE Access. Vol. 12
- Pham, Nhat-Hao; Vo, Khanh-Linh; Vu, Mai Anh; Nguyen, Thu; Riegler, Michael Alexander; Halvorsen, Pål; Nguyen, Binh T. (2024). Correlation Visualization Under Missing Values: A Comparison Between Imputation and Direct Parameter Estimation Methods. Rudinac, Stevan; Hanjalic, Alan; Liem, Cynthia; Worring, Marcel; Jónsson, Björn Þór; Liu, Bei (Ed.). 30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29 – February 2, 2024, Proceedings, Part IV. Springer
- Sepasdar, Zahra; Gautam, Sushant; Midoglu, Cise; Riegler, Michael Alexander; Halvorsen, Pål (2024). Soccer-GraphRAG: Applications of GraphRAG in Soccer. Boratto, Ludovico; Malitesta, Daniele; Marras, Mirko; Medda, Giacomo; Musto, Cataldo; Purificato, Erasmo (Ed.). Advances on Graph-Based Approaches in Information Retrieval. Springer Nature
- Alawad, Faiga Mohammad Mohammad Ahmed; Halvorsen, Pål; Riegler, Michael Alexander (2024). E2Evideo: End to End Video and Image Pre-processing and Analysis Tool. Rudinac, Stevan; Hanjalic, Alan; Liem, Cynthia; Worring, Marcel; Jónsson, Björn Þór; Liu, Bei (Ed.). 30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29 – February 2, 2024, Proceedings, Part IV. Springer
- Sarkhoosh, Mehdi Houshmand; Dorcheh, Sayed Mohammad Majidi; Midoglu, Cise; Sabet, Saeed; Kupka, Tomas; Johansen, Dag; Riegler, Michael Alexander; Halvorsen, Pål (2024). AI-Based Cropping of Soccer Videos for Different Social Media Representations. Rudinac, Stevan; Hanjalic, Alan; Liem, Cynthia; Worring, Marcel; Jónsson, Björn Þór; Liu, Bei (Ed.). 30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29 – February 2, 2024, Proceedings, Part IV. Springer
- Jakobsen, Petter; Côté-Allard, Ulysse Teller Masao; Riegler, Michael; Stabell, Lena Antonsen; Stautland, Andrea; Nordgreen, Tine; Tørresen, Jim; Fasmer, Ole Bernt; Ødegaard, Ketil Joachim (2024). Early warning signals observed in motor activity preceding mood state change in bipolar disorder. Bipolar Disorders. Vol. 26. p. 468-478
- Dorcheh, Sayed Mohammad Majidi; Sarkhoosh, Mehdi Houshmand; Midoglu, Cise; Sabet, Saeed Shafiee; Kupka, Tomas; Riegler, Michael Alexander; Johansen, Dag; Halvorsen, Pål (2024). AI-Based Cropping of Sport Videos Using SmartCrop. International Journal of Semantic Computing (IJSC). Vol. 18. p. 637-662
- Sarkhoosh, Mehdi Houshmand; Dorcheh, Sayed Mohammad Majidi; Midoglu, Cise; Sabet, Saeed Shafiee; Kupka, Tomas; Johansen, Dag; Riegler, Michael; Halvorsen, Pål (2024). AI-Based Cropping of Ice Hockey Videos for Different Social Media Representations. IEEE Access. Vol. 12. p. 118227-118249
- Ovesen, Aril Bernhard; Nordmo, Tor-Arne Schmidt; Riegler, Michael Alexander; Halvorsen, Pål; Johansen, Dag (2024). Sustainable Commercial Fishery Control Using Multimedia Forensics Data from Non-trusted, Mobile Edge Nodes. Rudinac, Stevan; Hanjalic, Alan; Liem, Cynthia; Worring, Marcel; Jónsson, Björn Þór; Liu, Bei (Ed.). 30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29 – February 2, 2024, Proceedings, Part IV. Springer
- Monakhov, Vladimir; Thambawita, Vajira L B; Halvorsen, Pål; Riegler, Michael (2023). GridHTM: Grid-Based Hierarchical Temporal Memory for Anomaly Detection in Videos. Sensors. Vol. 23:2087. p. 1-15
- Thunold, Håvard Horgen; Riegler, Michael; Yazidi, Anis; Hammer, Hugo Lewi (2023). A Deep Diagnostic Framework Using Explainable Artificial Intelligence and Clustering. Diagnostics (Basel). Vol. 13
- Berg, Arild Skarsfjord; Johansen, Safora; Lund, Anne; Riegler, Michael; Andersen, Jorunn Marie (2023). A Salutogenic Approach for Collaboration in Health and Technology. Garg, Bishan Swarup (Ed.). Health Promotion - Principles and Approaches. IntechOpen
- Hassan, Syed Zohaib; Sabet, Saeed Shafiee; Riegler, Michael Alexander; Baugerud, Gunn Astrid; Ko, Hayley Manalang; Salehi, Pegah; Røed, Ragnhild Klingenberg; Johnson, Miriam Sinkerud; Halvorsen, Pål (2023). Enhancing investigative interview training using a child avatar system: a comparative study of interactive environments. Scientific Reports. Vol. 13
- Drejer, Catharina Sofie Rodenburg; Riegler, Michael; Halvorsen, Pål; Johnson, Miriam S.; Baugerud, Gunn Astrid (2023). Livestreaming Technology and Online Child Sexual Exploitation and Abuse: A Scoping Review. Trauma, Violence, & Abuse
- Røed, Ragnhild Klingenberg; Baugerud, Gunn Astrid; Hassan, Syed Zohaib; Sabet, Saeed Shafiee; Salehi, Pegah; Powell, Martine B.; Riegler, Michael Alexander; Halvorsen, Pål; Johnson, Miriam Sinkerud (2023). Enhancing questioning skills through child avatar chatbot training with feedback. Frontiers in Psychology. Vol. 14
- Boeker, Matthias; Jakobsen, Petter; Riegler, Michael; Stabell, Lena Antonsen; Fasmer, Ole Bernt; Halvorsen, Pål; Hammer, Hugo Lewi (2023). Affect Recognition in Muscular Response Signals. IEEE Access. Vol. 11. p. 61914-61928
- Thambawita, Vajira L B; Hicks, Steven; Storås, Andrea; Nguyen, Thu; Andersen, Jorunn Marie; Witczak, Oliwia; Haugen, Trine B.; Hammer, Hugo Lewi; Halvorsen, Pål; Riegler, Michael Alexander (2023). VISEM-Tracking, a human spermatozoa tracking dataset. Scientific Data
- Sheshkal, Sajad Amouei; Riegler, Michael; Hammer, Hugo Lewi (2023). ML-Peaks: Chip-seq peak detection pipeline using machine learning techniques. Placidi, Giuseppe; González, Alejandro Rodríguez; Sicilia, Rosa; Spiliopoulou, Myra; Almeida, João Rafael; Andrades, José Alberto Benítez (Ed.). Proceedings of the 2023 36th IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS). IEEE (Institute of Electrical and Electronics Engineers)
- Sharma, Akriti; Ansari, Ayaz Z.; Kakulavarapu, Radhika; Stensen, Mette Haug; Riegler, Michael; Hammer, Hugo Lewi (2023). Predicting Cell Cleavage Timings from Time-Lapse Videos of Human Embryos. Big Data and Cognitive Computing. Vol. 7
- Nguyen, Thu; Ly, Hoang Thien; Riegler, Michael Alexander; Halvorsen, Pål; Hammer, Hugo Lewi (2023). Principal Components Analysis Based Frameworks for Efficient Missing Data Imputation Algorithms. Nguyen, Ngoc-Thanh; Boonsang, Siridech; Fujita, Hamido; Hnatkowska, Bogumila; Hong, Tzung Pei; Pasupa, Kitsuchart (Ed.). Recent Challenges in Intelligent Information and Database Systems. Springer
- Storås, Andrea; Riegler, Michael Alexander; Haugen, Trine B.; Thambawita, Vajira L B; Hicks, Steven; Hammer, Hugo Lewi; Kakulavarapu, Radhika; Halvorsen, Pål; Stensen, Mette Haug (2023). Automatic Unsupervised Clustering of Videos of the Intracytoplasmic Sperm Injection (ICSI) Procedure. Zouganeli, Evi; Yazidi, Anis; Mello, Gustavo Borges Moreno e; Lind, Pedro (Ed.). Nordic Artificial Intelligence Research and Development: 4th Symposium of the Norwegian AI Society, NAIS 2022, Oslo, Norway, May 31-June 1, 2022, Revised Selected Papers. Springer Nature
- Hammer, Hugo Lewi; Riegler, Michael; Tjelmeland, Håkon (2023). Approximate Bayesian Inference Based on Expected Evaluation. Bayesian Analysis. Vol. 19. p. 677-698
- Haugen, Trine B.; Witczak, Oliwia; Hicks, Steven; Björndahl, Lars; Andersen, Jorunn Marie; Riegler, Michael (2023). Sperm motility assessed by deep convolutional neural networks into WHO categories. Scientific Reports. Vol. 13
- Ali, Sharib; Jha, Debesh; Riegler, Michael; Ånonsen, Kim; Petlund, Andreas; Halvorsen, Pål; Lange, Thomas de (2023). A multi-center polyp detection and segmentation dataset for generalisability assessment. Scientific Data. Vol. 10
- Nik, Alireza Hossein Zadeh; Riegler, Michael Alexander; Halvorsen, Pål; Storås, Andrea (2023). Generation of synthetic tabular healthcare data using generative adversarial networks. Dang-Nguyen, Duc-Tien (Ed.). MultiMedia Modeling : 29th International conference, MMM 2023, Bergen, Norway, January 9-12, 2023, Proceedings, Part II. Springer
- Nguyen, Thu; Storås, Andrea; Thambawita, Vajira L B; Hicks, Steven; Halvorsen, Pål; Riegler, Michael Alexander (2023). Multimedia Datasets: Challenges and Future Possibilities. Nguyen, Duc Tien Dang; Gurrin, Cathal; Larson, Martha; Smeaton, Alan F.; Rudinac, Stevan; Dao, Minh-Son (Ed.). MultiMedia Modeling: 29th International Conference, MMM 2023, Bergen, Norway, January 9–12, 2023, Proceedings, Part II. Springer
- Riegler, Michael Alexander; Thambawita, Vajira; Nguyen, Thu; Hicks, Steven Alexander; Telle-Hansen, Vibeke; Pettersen, Svein Arne; Johansen, Dag; Jain, Ramesh; Halvorsen, Pål (2023). ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset. Lecture Notes in Computer Science (LNCS). Vol. 13833. p. 502-514
- Storås, Andrea; Magnø, Morten Schjerven; Fineide, Fredrik; Thiede, Bernd; Chen, Xiangjun; Strumke, Inga; Halvorsen, Pål; Utheim, Tor Paaske; Riegler, Michael Alexander (2023). Identifying Important Proteins in Meibomian Gland Dysfunction with Explainable Artificial Intelligence. IEEE International Symposium on Computer-Based Medical Systems
- Fineide, Fredrik; Storås, Andrea; Riegler, Michael Alexander; Utheim, Tor Paaske (2023). Predicting Meibomian Gland Dropout and Feature Importance Analysis with Explainable Artificial Intelligence. IEEE International Symposium on Computer-Based Medical Systems
- Jha, Debesh; Sharma, Vanshali; Dash, Neethi; Tomar, Nikhil Kumar; Hicks, Steven A.; Bhuyan, M.K.; Das, Pradip; Riegler, Michael; Halvorsen, Pål; Bagci, Ulas; Lange, Thomas de (2023). GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection. Maier, Andreas; Schnabel, Julia; Tiwari, Pallavi; Stegle, Oliver (Ed.). Proceedings of the International Workshop on Machine Learning for Multimodal Healthcare Data(ML4MHD). Springer
- Habault, Guillaume; Dao, Minh-Son; Riegler, Michael; Nguyen, Duc Tien Dang; Nakashima, Yuta; Gurrin, Cathal (2023). ICDAR’23: Proceedings of the 4th ACM Workshop on Intelligent Cross-Data Analysis and Retrieval. Association for Computing Machinery (ACM)
- Nordmo, Tor-Arne Schmidt; Riegler, Michael; Dagenborg, Håvard Johansen; Johansen, Dag (2023). Arctic HARE: A Machine Learning-Based System for Performance Analysis of Cross-Country Skiers. Dang-Nguyen, Duc-Tien (Ed.). MultiMedia Modeling : 29th International conference, MMM 2023, Bergen, Norway, January 9-12, 2023, Proceedings, Part II. Springer
- Riegler, Michael Alexander; Thambawita, Vajira; Chatterjee, Ayan; Nguyen, Thu; Hicks, Steven; Telle-Hansen, Vibeke; Pettersen, Svein Arne; Johansen, Dag; Jain, Ramesh; Halvorsen, Pål (2023). ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset. Dang-Nguyen, Duc-Tien (Ed.). MultiMedia Modeling : 29th International conference, MMM 2023, Bergen, Norway, January 9-12, 2023, Proceedings, Part II. Springer
- Nguyen, Duc Tien Dang; Khan, Sohail Ahmed; Midoglu, Cise; Riegler, Michael; Halvorsen, Pål; Dao, Minh-Son (2023). Grand Challenge On Detecting Cheapfakes. 5 p.. IEEE (Institute of Electrical and Electronics Engineers)
- Outa, Amani al; Hicks, Steven; Thambawita, Vajira L B; Andresen, Siri; Enserink, Jorrit Martijn; Halvorsen, Pål; Riegler, Michael Alexander; Knævelsrud, Helene (2023). CELLULAR, A Cell Autophagy Imaging Dataset. Scientific Data
- Thambawita, Vajira L B; Storås, Andrea; Hicks, Steven; Halvorsen, Pål; Riegler, Michael (2023). MLC at HECKTOR 2022: The Effect and Importance of Training Data When Analyzing Cases of Head and Neck Tumors Using Machine Learning. Andrearczyk, Vincent; Oreiller, Valentin; Hatt, Mathieu; Depeursinge, Adrien (Ed.). Head and Neck Tumor Segmentation and Outcome Prediction. Springer Nature
- Storås, Andrea; Andersen, Ole Emil; Lockhart, Sam; Thielemann, Roman; Gnesin, Filip; Thambawita, Vajira L B; Hicks, Steven; Kanters, Jørgen K.; Strumke, Inga; Halvorsen, Pål; Riegler, Michael (2023). Usefulness of Heat Map Explanations for Deep-Learning-Based Electrocardiogram Analysis. Diagnostics (Basel). Vol. 13
- Storås, Andrea; Fineide, Fredrik; Magnø, Morten Schjerven; Thiede, Bernd; Chen, Xiangjun; Strumke, Inga; Halvorsen, Pål; Galtung, Hilde; Jensen, Janicke Cecilie Liaaen; Utheim, Tor Paaske; Riegler, Michael Alexander (2023). Using machine learning model explanations to identify proteins related to severity of meibomian gland dysfunction. Scientific Reports. Vol. 13
- Ali, Sharib; Jha, Debesh; Ghatwary, Noha; Realdon, Stefano; Cannizzaro, Renato; Salem, Osama E.; Lamarque, Dominique; Daul, Christian; Riegler, Michael Alexander; Ånonsen, Kim Vidar; Petlund, Andreas; Halvorsen, Pål; Rittscher, Jens; Lange, Thomas de; East, James E (2023). A multi-centre polyp detection and segmentation dataset for generalisability assessment. Scientific Data. Vol. 10
- Machacek, Roman; Mozaffari, Leila; Sepasdar, Zahra; Parasa, Sravanthi; Halvorsen, Pål; Riegler, Michael; Thambawita, Vajira L B (2023). Mask-conditioned latent diffusion for generating gastrointestinal polyp images. Habault, Guillaume; Dao, Minh-Son; Riegler, Michael; Nguyen, Duc Tien Dang; Nakashima, Yuta; Gurrin, Cathal (Ed.). ICDAR’23: Proceedings of the 4th ACM Workshop on Intelligent Cross-Data Analysis and Retrieval. Association for Computing Machinery (ACM)
- Chatterjee, Ayan; Prinz, Andreas; Riegler, Michael; Das, Jishnu (2023). A systematic review and knowledge mapping on ICT-based remote and automatic COVID-19 patient monitoring and care. BMC Health Services Research. Vol. 23
- Nordmo, Tor-Arne Schmidt; Ovesen, Aril Bernhard; Dagenborg, Håvard; Halvorsen, Pål; Riegler, Michael Alexander; Johansen, Dag (2023). Fishing Trawler Event Detection: An Important Step Towards Digitization of Sustainable Fishing. Nichele, Stefano; Aamodt, Jonas Moræus; Misra, Sanjay; Mölder, Anicka (Ed.). 2023 3rd International Conference on Applied Artificial Intelligence (ICAPAI). IEEE (Institute of Electrical and Electronics Engineers)
- Nguyen, Phuc-Thinh; Dao, Minh-Son; Riegler, Michael Alexander; Kiran, Rage Uday; Dang, Thai-Thinh; Le, Duy-Dong; Nguyen-Ly, Kieu-Chinh; Pham, Thanh-Qui; Nguyen, Van-Luong (2023). Training Performance Indications for Amateur Athletes Based on Nutrition and Activity Lifelogs. Algorithms
- Ionescu, Bogdan; Müller, Henning; DRĂGULINESCU, ANA-MARIA; Popescu, Adrian; Idrissi-Yaghir, Ahmad; Herrera, Alba García Seco de; Andrei, Alexandra; Stan, Alexandru; Storås, Andrea; Abacha, Asma Ben; Friedrich, Christoph M.; Ioannidis, George; Adams, Griffin; Schäfer, Henning; Manguinhas, Hugo; Filipovich, Ihar; Coman, Ioan; Deshayes, Jérôme; Schöler, Johanna; Rückert, Johannes; Ştefan, Liviu Daniel; Bloch, Louise; Yetisgen, Meliha; Riegler, Michael Alexander; Dogariu, Mihai; Constantin, Mihai Gabriel; Snider, Neal; Papachrysos, Nikolaos; Halvorsen, Pål; Brüngel, Raphael; Kozlovski, Serge; Hicks, Steven; Lange, Thomas de; Thambawita, Vajira L B; Kovalev, Vassili; Yim, Wen-Wai (2023). ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications. NN, NN (Ed.). Advances in Information Retrieval. ECIR 2023. Springer
- Smedsrud, Pia Helen; Espeland, Håvard; Berstad, Tor Jan; Petlund, Andreas; Lange, Thomas de; Riegler, Michael; Halvorsen, Pål (2023). Man vs. AI: An in silico study of polyp detection performance. Placidi, Giuseppe; González, Alejandro Rodríguez; Sicilia, Rosa; Spiliopoulou, Myra; Almeida, João Rafael; Andrades, José Alberto Benítez (Ed.). Proceedings of the 2023 36th IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS). IEEE (Institute of Electrical and Electronics Engineers)
- Chatterjee, Ayan; Pahari, Nibedita; Prinz, Andreas; Riegler, Michael Alexander (2023). AI and semantic ontology for personalized activity eCoaching in healthy lifestyle recommendations: a meta-heuristic approach. BMC Medical Informatics and Decision Making. Vol. 23
- Hicks, Steven; Thambawita, Vajira; Storås, Andrea; Haugen, Trine; Hammer, Hugo; Halvorsen, Pål; Riegler, Michael; Stensen, Mette (2022). Automatic Tracking of the ICSI procedure using Deep Learning. Human Reproduction. Vol. 37
- Thambawita, Vajira; Hicks, Steven; Storås, Andrea; Witczak, Oliwia; Andersen, Jorunn; Hammer, Hugo; Halvorsen, Pål; Riegler, Michael; Trine, Haugen (2022). Real-time deep learning based multi object tracking of spermatozoa in fresh samples. Human Reproduction. Vol. 37
- Jakobsen, Petter; Stautland, Andrea; Riegler, Michael; Côté-Allard, Ulysse Teller Masao; Sepasdar, Zahra; Nordgreen, Tine; Tørresen, Jim; Fasmer, Ole Bernt; Ødegaard, Ketil Joachim (2022). Complexity and variability analyses of motor activity distinguish mood states in Bipolar Disorder. PLOS ONE. Vol. 17. p. 1-19
- Nguyen, Thu; Khadka, Rabindra; Phan, Nhan; Yazidi, Anis; Halvorsen, Pål; Hammer, Hugo Lewi; Riegler, Michael Alexander (2022). Combining datasets to improve model fitting. NN, NN (Ed.). 2022 International Joint Conference on Neural Networks (IJCNN). IEEE (Institute of Electrical and Electronics Engineers)
- Fineide, Fredrik; Storås, Andrea; Chen, Xiangjun; Magnø, Morten Schjerven; Yazidi, Anis; Riegler, Michael; Utheim, Tor Paaske (2022). Predicting an unstable tear film through artificial intelligence. Scientific Reports. Vol. 12
- Filho, Sidney Pontes; Olsen, Kristoffer; Yazidi, Anis; Riegler, Michael; Halvorsen, Pål; Nichele, Stefano (2022). Towards the Neuroevolution of Low-level artificial general intelligence. Frontiers in Robotics and AI. Vol. 9
- Hammer, Hugo Lewi; Yazidi, Anis; Riegler, Michael; Rue, Håvard (2022). Efficient quantile tracking using an oracle. Applied Intelligence - The International Journal of Research on Intelligent Systems for Real Life Complex Problems
- Hassan, Syed Zohaib; Salehi, Pegah; Riegler, Michael; Johnson, Miriam S.; Baugerud, Gunn Astrid; Halvorsen, Pål; Sabet, Saeed (2022). A Virtual Reality Talking Avatar for Investigative Interviews of Maltreated Children. Djeraba, Chaabane; Lokoč, Jakub; Vrochidis, Stefanos (Ed.). CBMI '22: Proceedings of the 19th International Conference on Content-based Multimedia Indexing. Association for Computing Machinery (ACM)
- Sabet, Saeed; Midoglu, Cise; Hassan, Syed Zohaib; Salehi, Pegah; Baugerud, Gunn Astrid; Griwodz, Carsten; Johnson, Miriam S.; Riegler, Michael; Halvorsen, Pål (2022). Comparison of Crowdsourced and Remote Subjective User Studies: A Case Study of Investigative Child Interviews. Atzori, Luigi; Möller, Sebastian; Raake, Alexander (Ed.). 14th International Conference on Quality of Multimedia Experience (QoMEX). IEEE (Institute of Electrical and Electronics Engineers)
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- Salehi, Pegah; Hassan, Syed Zohaib; Lammerse, Myrthe; Sabet, Saeed Shafiee; Riiser, Ingvild; Røed, Ragnhild Klingenberg; Johnson, Miriam Sinkerud; Hicks, Steven; Thambawita, Vajira; Powell, Martine; Lamb, Michael E.; Baugerud, Gunn Astrid; Halvorsen, Pål; Riegler, Michael (2022). Synthesizing a Talking Child Avatar to Train Interviewers Working with Maltreated Children. Big Data and Cognitive Computing. Vol. 6
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- Thambawita, Vajira L B; Salehi, Pegah; Sheshkal, Sajad Amouei; Hicks, Steven; Hammer, Hugo Lewi; Parasa, Sravanthi; Lange, Thomas de; Halvorsen, Pål; Riegler, Michael (2022). SinGAN-Seg: Synthetic training data generation for medical image segmentation. PLOS ONE. Vol. 17. p. 1-24
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- Chatterjee, Ayan; Pahari, Nibedita; Prinz, Andreas; Riegler, Michael (2022). Machine learning and ontology in eCoaching for personalized activity level monitoring and recommendation generation. Scientific Reports. Vol. 12
- Hammou, Malek; Midoglu, Cise; Hicks, Steven; Storås, Andrea; Sabet, Saeed; Strumke, Inga; Riegler, Michael; Halvorsen, Pål (2022). Huldra: a framework for collecting crowdsourced feedback on multimedia assets. Murray, Niall; Simon, Gwendal; Farias, Mylene; Viola, Irene; Montagud, Mario (Ed.). MMSys '22: Proceedings of the 13th ACM Multimedia Systems Conference. ACM Publications
- Husa, Andreas; Midoglu, Cise; Hammou, Malek; Halvorsen, Pål; Riegler, Michael (2022). HOST-ATS: automatic thumbnail selection with dashboard-controlled ML pipeline and dynamic user survey. Murray, Niall; Simon, Gwendal; Farias, Mylene; Viola, Irene; Montagud, Mario (Ed.). MMSys '22: Proceedings of the 13th ACM Multimedia Systems Conference. ACM Publications
- Kulakou, Siarhei; Ragab, Nourhan; Midoglu, Cise; Boeker, Matthias; Johansen, Dag; Riegler, Michael; Halvorsen, Pål (2022). Exploration of Different Time Series Models for Soccer Athlete Performance Prediction †. Engineering Proceedings. Vol. 18
- Husa, Andreas; Midoglu, Cise; Hammou, Malek; Hicks, Steven; Johansen, Dag; Kupka, Tomas; Riegler, Michael; Halvorsen, Pål (2022). Automatic thumbnail selection for soccer videos using machine learning. Murray, Niall; Simon, Gwendal; Farias, Mylene; Viola, Irene; Montagud, Mario (Ed.). MMSys '22: Proceedings of the 13th ACM Multimedia Systems Conference. ACM Publications
- Nordmo, Tor-Arne Schmidt; Ovesen, Aril Bernhard; Juliussen, Bjørn Aslak; Hicks, Steven; Thambawita, Vajira L B; Johansen, Håvard D.; Halvorsen, Pål; Riegler, Michael Alexander; Johansen, Dag (2022). Njord: a fishing trawler dataset. Murray, Niall; Simon, Gwendal; Farias, Mylene; Viola, Irene; Montagud, Mario (Ed.). MMSys '22: Proceedings of the 13th ACM Multimedia Systems Conference. ACM Publications
- Jha, Debesh; Rauniyar, Ashish; Johansen, Håvard D.; Johansen, Dag; Riegler, Michael Alexander; Halvorsen, Pål; Bagci, Ulas (2022). Video Analytics in Elite Soccer: A Distributed Computing Perspective. Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop. p. 221-225
- Lammerse, Myrthe; Hassan, Syed Zohaib; Sabet, Saeed; Riegler, Michael; Halvorsen, Pål (2022). Human vs. GPT-3: The challenges of extracting emotions from child responses. Atzori, Luigi; Möller, Sebastian; Raake, Alexander (Ed.). 14th International Conference on Quality of Multimedia Experience (QoMEX). IEEE (Institute of Electrical and Electronics Engineers)
- Sabet, Saeed Shafiee; Eg, Ragnhild; Raaen, Kjetil; Qasim, Muhammad; Riegler, Michael; Halvorsen, Pål (2022). When Every Millisecond Counts: The Impact of Delay in VR Gaming. Atzori, Luigi; Möller, Sebastian; Raake, Alexander (Ed.). 14th International Conference on Quality of Multimedia Experience (QoMEX). IEEE (Institute of Electrical and Electronics Engineers)
- Dao, Minh-Son; Dang-Nguyen, Duc-Tien; Riegler, Michael (2022). Proceedings of the 3rd ACM Workshop on Intelligent Cross-Data Analysis and Retrieval (ICDAR). 73 p.. Association for Computing Machinery (ACM)
- Chatterjee, Ayan; Pahari, Nibedita; Riegler, Michael; Prinz, Andreas (2022). LSTM Step Prediction and Ontology-Based Recommendation Generation in Activity eCoaching. NN, NN (Ed.). 2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). IEEE (Institute of Electrical and Electronics Engineers)
- Tomar, Nikhil Kumar; Jha, Debesh; Riegler, Michael; Johansen, Håvard D.; Johansen, Dag; Rittscher, Jens; Halvorsen, Pål; Ali, Sharib (2022). FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation. IEEE Transactions on Neural Networks and Learning Systems. Vol. 34. p. 9375-9388
- Torpmann-Hagen, Birk Sebastian Frostelid; Thambawita, Vajira L B; Riegler, Michael; Halvorsen, Pål; Glette, Kyrre (2022). Segmentation Consistency Training: Out-of-Distribution Generalization for Medical Image Segmentation. Bulterman, Dick; Kankanhalli, Mohan S.; Muehlhaeuser, Max; Persia, Fabio; Sheu, Phillip; Tsai, Jeffrey J.P. (Ed.). Proceedings of the 2022 IEEE International Symposium on Multimedia (ISM). IEEE (Institute of Electrical and Electronics Engineers)
- Khadka, Rabindra; Jha, Debesh; Hicks, Steven; Thambawita, Vajira L B; Riegler, Michael; Ali, Sharib; Halvorsen, Pål (2022). Meta-learning with implicit gradients in a few-shot setting for medical image segmentation. Computers in Biology and Medicine. Vol. 143
- Midoglu, Cise; Storås, Andrea; Sabet, Saeed; Hammou, Malek; Hicks, Steven; Strumke, Inga; Riegler, Michael; Griwodz, Carsten; Halvorsen, Pål (2022). Experiences and Lessons Learned from a Crowdsourced-Remote Hybrid User Survey Framework. Bulterman, Dick; Kankanhalli, Mohan S.; Muehlhaeuser, Max; Persia, Fabio; Sheu, Phillip; Tsai, Jeffrey J.P. (Ed.). Proceedings of the 2022 IEEE International Symposium on Multimedia (ISM). IEEE (Institute of Electrical and Electronics Engineers)
- Jacobsen, Felicia; Hicks, Steven; Halvorsen, Pål; Riegler, Michael (2022). Estimating Predictive Uncertainty in Gastrointestinal Polyp Segmentation. Shen, Linlin; González, Alejandro Rodríguez; Santosh, KC; Lai, Zhihui; Sicilia, Rosa; Almeida, João Rafael (Ed.). 2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS). IEEE (Institute of Electrical and Electronics Engineers)
- Fagereng, Jan Andre; Thambawita, Vajira L B; Storås, Andrea; Parasa, Sravanthi; Lange, Thomas de; Halvorsen, Pål; Riegler, Michael (2022). PolypConnect: Image inpainting for generating realistic gastrointestinal tract images with polyps. Shen, Linlin; González, Alejandro Rodríguez; Santosh, KC; Lai, Zhihui; Sicilia, Rosa; Almeida, João Rafael (Ed.). 2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS). IEEE (Institute of Electrical and Electronics Engineers)
- Storås, Andrea; Strumke, Inga; Riegler, Michael Alexander; Halvorsen, Pål (2022). Research proposal: Explainability methods for machine learning systems for multimodal medical datasets. Murray, Niall; Simon, Gwendal; Farias, Mylene; Viola, Irene; Montagud, Mario (Ed.). MMSys '22: Proceedings of the 13th ACM Multimedia Systems Conference. ACM Publications
- Storås, Andrea; Åsberg, Anders; Halvorsen, Pål; Riegler, Michael Alexander; Strumke, Inga (2022). Predicting Tacrolimus Exposure in Kidney Transplanted Patients Using Machine Learning. Shen, Linlin; González, Alejandro Rodríguez; Santosh, KC; Lai, Zhihui; Sicilia, Rosa; Almeida, João Rafael (Ed.). 2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS). IEEE (Institute of Electrical and Electronics Engineers)
- Alslie, Joakim Aalstad; Ovesen, Aril Bernhard; Nordmo, Tor-Arne Schmidt; Johansen, Håvard D.; Halvorsen, Pål; Riegler, Michael; Johansen, Dag (2022). Áika: A Distributed Edge System for AI Inference. Big Data and Cognitive Computing. Vol. 6
- Dao, Minh-Son; Riegler, Michael; Nguyen, Duc Tien Dang; Gurrin, Cathal; Nakashima, Yuta; Dong, Mianxiong (2022). ICDAR'22: Intelligent Cross-Data Analysis and Retrieval. Oria, Vincent; Sapino, Maria Luisa; Satoh, Shin'ichi; Kerhervé, Brigitte (Ed.). ICMR '22: Proceedings of the 2022 International Conference on Multimedia Retrieval. Association for Computing Machinery (ACM)
- Thambawita, Vajira L B; Hicks, Steven; Ewan, Jaouen; Halvorsen, Pål; Riegler, Michael (2022). Smittestopp analytics: Analysis of position data. Elmokashfi, Ahmed Mustafa Abdalla; Naumova, Valeriya; Lysne, Olav (Ed.). Smittestopp − A Case Study on Digital Contact Tracing. Springer
- Tavanapong, Wallapak; Oh, Junghwan; Riegler, Michael Alexander; Khaleel, Mohammed; Mittal, Bhuvan; Groen, Piet de (2022). Artificial Intelligence for Colonoscopy: Past, Present, and Future. IEEE Journal of Biomedical and Health Informatics. Vol. 26. p. 3950-3965
- Hassan, Syed Zohaib; Ahmad, Kashif; Hicks, Steven; Halvorsen, Pål; Al-Fuqaha, Ala; Conci, Nicola; Riegler, Michael Alexander (2022). Visual Sentiment Analysis from Disaster Images in Social Media. Sensors. Vol. 22
- Chatterjee, Ayan; Prinz, Andreas; Pahari, Nibedita; Das, Jishnu; Riegler, Michael (2022). Sleep Monitoring with Wearable Sensor Data in an eCoach Recommendation System: A Conceptual Study with Machine Learning Approach. Mandal, Jyotsna Kumar (Ed.). Frontiers of ICT in Healthcare. Springer Nature
- Nguyen, Thu; Phan, Nhan; Nguyen, Binh T.; Halvorsen, Pål; Riegler, Michael Alexander (2022). Parallel feature selection based on the trace ratio criterion. Gori, Marco; Sperduti, Alessandro (Ed.). 2022 International Joint Conference on Neural Networks (IJCNN). IEEE (Institute of Electrical and Electronics Engineers)
- Ahmed, Azza H.; Riegler, Michael Alexander; Hicks, Steven; Elmokashfi, Ahmed Mustafa Abdalla (2022). RCAD: Real-time Collaborative Anomaly Detection System for Mobile Broadband Networks. Zhang, Aidong; Rangwala, Huzefa (Ed.). KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. ACM Digital Library
- Nordmo, Tor-Arne Schmidt; Espeseth, Martine; Juliussen, Bjørn Aslak; Riegler, Michael Alexander; Johansen, Dag (2022). Detection of Commercial Fishing-related Slipping Events using Multimodal Data. Bulterman, Dick; Kankanhalli, Mohan S.; Muehlhaeuser, Max; Persia, Fabio; Sheu, Phillip; Tsai, Jeffrey J.P. (Ed.). Proceedings of the 2022 IEEE International Symposium on Multimedia (ISM). IEEE (Institute of Electrical and Electronics Engineers)
- Tjønndal, Anne; Korsvoll, Nils Hallvard; Riegler, Michael (2021). Hvorfor liker folk fotball?. Morgenbladet
- Storås, Andrea; Strumke, Inga; Riegler, Michael Alexander; Grauslund, Jakob; Hammer, Hugo Lewi; Yazidi, Anis; Halvorsen, Pål; Gundersen, Kjell Gunnar; Utheim, Tor Paaske; Jackson, Catherine Joan (2021). Artificial intelligence in dry eye disease. The ocular surface. Vol. 23. p. 74-86
- Riegler, Michael Alexander; Stensen, Mette Haug; Witczak, Oliwia; Andersen, Jorunn Marie; Hicks, Steven; Hammer, Hugo Lewi; Delbarre, Erwan; Halvorsen, Pål; Yazidi, Anis; Holst, Nicolai; Haugen, Trine B. (2021). Artificial intelligence in the fertility clinic: status, pitfalls and possibilities. Human Reproduction. Vol. 36. p. 2429-2442
- Jha, Debesh; Yazidi, Anis; Riegler, Michael Alexander; Johansen, Dag; Johansen, Håvard D.; Halvorsen, Pål (2021). LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification. Zhang, Yong; Xu, Yicheng; Tian, Hui (Ed.). Parallel and Distributed Computing, Applications and Technologies: 21st International Conference, PDCAT 2020, Shenzhen, China, December 28–30, 2020, Proceedings. Springer Nature
- Ahmed, Azza Hassan Mohamed; Hicks, Steven; Riegler, Michael; Elmokashfi, Ahmed Mustafa Abdalla (2021). Predicting High Delays in Mobile Broadband Networks. IEEE Access. Vol. 9. p. 168999-169013
- Rongved, Olav Andre Nergård; Stige, Markus; Hicks, Steven; Thambawita, Vajira L B; Midoglu, Cise; Zouganeli, Evi; Johansen, Dag; Riegler, Michael; Halvorsen, Pål (2021). Automated Event Detection and Classification in Soccer: The Potential of Using Multiple Modalities. Machine Learning and Knowledge Extraction. Vol. 3. p. 1030-1054
- Rongved, Olav Andre Nergård; Hicks, Steven; Thambawita, Vajira L B; Stensland, Håkon Kvale; Zouganeli, Evi; Johansen, Dag; Riegler, Michael Alexander; Midoglu, Cise; Halvorsen, Pål (2021). Using 3D Convolutional Neural Networks for Real-time Detection of Soccer Events. International Journal of Semantic Computing (IJSC). Vol. 15
- Baugerud, Gunn Astrid; Johnson, Miriam Sinkerud; Røed, Ragnhild Klingenberg; Lamb, Michael E.; Powell, Martine; Thambawita, Vajira L B; Hicks, Steven; Salehi, Pegah; Hassan, Syed Zohaib; Halvorsen, Pål; Riegler, Michael (2021). Multimodal Virtual Avatars for Investigative Interviews with Children. Dao, Minh-Son; Dang-Nguyen, Duc-Tien; Riegler, Michael (Ed.). ICDAR '21: Proceedings of the 2021 Workshop on Intelligent Cross-Data Analysis and Retrieval. ACM Digital Library
- Hicks, Steven; Stautland, Andrea; Fasmer, Ole Bernt; Førland, Wenche; Hammer, Hugo Lewi; Halvorsen, Pål; Mjeldheim, Kristin; Ødegaard, Ketil Joachim; Osnes, Berge; Syrstad, Vigdis Elin Giæver; Riegler, Michael; Jakobsen, Petter (2021). HYPERAKTIV: An Activity Dataset from Patients with Attention-Deficit/Hyperactivity Disorder (ADHD). MMSys '21: Proceedings of the 12th ACM Multimedia Systems Conference
- Thambawita, Vajira L B; Hicks, Steven; Isaksen, Jonas L; Stensen, Mette H.; Haugen, Trine B.; Kanters, Jørgen K; Parasa, Sravanthi; Lange, Thomas de; Johansen, Håvard D.; Johansen, Dag; Hammer, Hugo Lewi; Halvorsen, Pål; Riegler, Michael (2021). DeepSynthBody: the beginning of the end for data deficiency in medicine. Colomo-Palacios, Ricardo; Ripon, Kazi Shah Nawaz (Ed.). Proceedings of the International Conference on Applied Artificial Intelligence (ICAPAI) 2021. IEEE (Institute of Electrical and Electronics Engineers)
- Boeker, Matthias; Riegler, Michael; Hammer, Hugo Lewi; Halvorsen, Pål; Fasmer, Ole Bernt; Jakobsen, Petter (2021). Diagnosing Schizophrenia from Activity Records using Hidden Markov Model Parameters. Almeida, João Rafael; González, Alejandro Rodríguez; Shen, Linling (Ed.). Proceeding of 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS). IEEE (Institute of Electrical and Electronics Engineers)
- Garcia-Ceja, Enrique; Thambawita, Vajira L B; Hicks, Steven; Jha, Debesh; Jakobsen, Petter; Hammer, Hugo Lewi; Halvorsen, Pål; Riegler, Michael (2021). HTAD: A Home-Tasks Activities Dataset with Wrist-Accelerometer and Audio Features. Lecture Notes in Computer Science (LNCS). Vol. 12573. p. 196-205
- Svennevik, Hanna; Riegler, Michael A.; Hicks, Steven; Storelvmo, Trude; Hammer, Hugo L. (2021). Prediction of cloud fractional cover using machine learning. Big Data and Cognitive Computing. Vol. 5
- Smedsrud, Pia; Thambawita, Vajira L B; Hicks, Steven; Gjestang, Henrik; Nedrejord, Oda Olsen; Næss, Espen; Borgli, Hanna; Jha, Debesh; Berstad, Tor Jan; Eskeland, Sigrun Losada; Lux, Mathias; Espeland, Håvard; Petlund, Andreas; Nguyen, Duc Tien Dang; Garcia-Ceja, Enrique; Johansen, Dag; Schmidt, Peter Thelin; Toth, Ervin; Hammer, Hugo Lewi; Lange, Thomas de; Riegler, Michael Alexander; Halvorsen, Pål (2021). Kvasir-Capsule, a video capsule endoscopy dataset. Scientific Data. Vol. 8
- Thambawita, Vajira L B; Isaksen, Jonas L.; Hicks, Steven A.; Ghouse, Jonas; Ahlberg, Gustav; Linneberg, Allan; Grarup, Niels; Ellervik, Christina; Olesen, Morten Salling; Hansen, Torben; Graff, Claus; Holstein-Rathlou, Niels-Henrik; Strümke, Inga; Hammer, Hugo L.; Maleckar, Mary M.; Halvorsen, Pål; Riegler, Michael A.; Kanters, Jørgen K. (2021). DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine. Scientific Reports. Vol. 11
- Kolevatova, Anastasiia; Riegler, Michael; Cherubini, Francesco; Hu, Xiangping; Hammer, Hugo Lewi (2021). Unraveling the impact of land cover changes on climate using machine learning and explainable artificial intelligence. Big Data and Cognitive Computing. Vol. 5. p. 1-17
- Valand, Joakim; Kadragic, Haris; Hicks, Steven; Thambawita, Vajira L B; Midoglu, Cise; Kupka, Tomas; Johansen, Dag; Riegler, Michael; Halvorsen, Pål (2021). AI-Based Video Clipping of Soccer Events. Machine Learning and Knowledge Extraction. Vol. 3. p. 990-1008
- Thambawita, Vajira L B; Hicks, Steven; Halvorsen, Pål; Riegler, Michael (2021). DivergentNets: Medical Image Segmentation by Network Ensemble. Ali, Sharib; Ghatwary, Noha; Jha, Debesh; Halvorsen, Pål (Ed.). Proceedings of the 3rd International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV 2021). Ceur
- Ovesen, Aril Bernhard; Nordmo, Tor-Arne Schmidt; Johansen, Håvard D.; Riegler, Michael Alexander; Halvorsen, Pål; Johansen, Dag (2021). File system support for privacy-preserving analysis and forensics in low-bandwidth edge environments. Information. Vol. 12. p. 1-19
- Midoglu, Cise; Kousias, Konstantinos; Alay, Ozgu; Lutu, Andra; Argyriou, Antonios; Riegler, Michael; Griwodz, Carsten (2021). Large scale “speedtest” experimentation in Mobile Broadband Networks. Computer Networks. Vol. 184. p. 1-16
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- Jha, Debesh; Ali, Sharib; Tomar, Nikhil Kumar; Riegler, Michael Alexander; Johansen, Dag; Johansen, Håvard D.; Halvorsen, Pål (2021). Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy. I., Fotiadis Dimitrios; Pattichis, Constantinos S; Wang, May D. (Ed.). 2021 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI). IEEE (Institute of Electrical and Electronics Engineers)
- Srivastava, Abhishek; Chanda, Sukalpa; Jha, Debesh; Riegler, Michael; Halvorsen, Pål; Johansen, Dag; Pal, Umapada (2021). PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentation. IEEE, . (Ed.). 4th International Conference on Bio-Engineering for Smart Technologies (BioSMART) : [Proceedings]. IEEE (Institute of Electrical and Electronics Engineers)
- Jha, Debesh; Smedsrud, Pia; Johansen, Dag; Lange, Thomas de; Johansen, Håvard D.; Halvorsen, Pål; Riegler, Michael Alexander (2021). A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation. IEEE Journal of Biomedical and Health Informatics
- Tomar, Nikhil Kumar; Jha, Debesh; Ali, Sharib; Johansen, Håvard D.; Johansen, Dag; Riegler, Michael; Halvorsen, Pål (2021). DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation. Bimbo, Alberto Del; Cucchiara, Rita; Sclaroff, Stan; Farinella, Giovanni Maria; Mei, Tao; Bertini, Marco (Ed.). Pattern Recognition. ICPR International Workshops and Challenges. Springer Nature
- Thambawita, Vajira L B; Strumke, Inga; Hicks, Steven; Halvorsen, Pål; Parasa, Sravanthi; Riegler, Michael (2021). Impact of image resolution on deep learning performance in endoscopy image classification: An experimental study using a large dataset of endoscopic images. Diagnostics (Basel). Vol. 11. p. 1-9
- Srivastava, Abhishek; Jha, Debesh; Chanda, Sukalpa; Pal, Umapada; Johansen, Håvard D.; Johansen, Dag; Riegler, Michael; Ali, Sharib; Halvorsen, Pål (2021). MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation. IEEE Journal of Biomedical and Health Informatics. Vol. 26. p. 2252-2263
- Nordmo, Tor-Arne Schmidt; Ovesen, Aril Bernhard; Johansen, Håvard D.; Riegler, Michael; Halvorsen, Pål; Johansen, Dag (2021). Dutkat: A Multimedia System for Catching Illegal Catchers in a Privacy-Preserving Manner. Dao, Minh-Son; Dang-Nguyen, Duc-Tien; Riegler, Michael (Ed.). ICDAR '21: Proceedings of the 2021 Workshop on Intelligent Cross-Data Analysis and Retrieval. ACM Digital Library
- Strumke, Inga; Hicks, Steven; Thambawita, Vajira L B; Jha, Debesh; Parasa, Sravanthi; Riegler, Michael Alexander; Halvorsen, Pål (2021). Artificial Intelligence in Gastroenterology. Niklas, Lidströmer; Hutan, Ashrafian (Ed.). Artificial Intelligence in Medicine. Springer Nature
- Lux, Mathias; Riegler, Michael; Hicks, Steven; Nguyen, Duc Tien Dang; Jørgensen, Kristine; Thambawita, Vajira L B; Halvorsen, Pål (2021). Emotional Mario Task at MediaEval 2021. CEUR Workshop Proceedings
- Jha, Debesh; Ali, Sharib; Hicks, Steven; Thambawita, Vajira L B; Borgli, Hanna; Smedsrud, Pia; Lange, Thomas de; Pogorelov, Konstantin; Wang, Xiaowei; Harzig, Philipp; Tran, Minh-Triet; Meng, Wenhua; Hoang, Trung-Hieu; Dias, Danielle; Ko, Tobey H.; Agrawal, Taruna; Ostroukhova, Olga; Khan, Zeshan; Tahir, Muhammed Atif; Liu, Yang; Chang, Yuan; Kirkerød, Mathias; Johansen, Dag; Lux, Mathias; Johansen, Håvard D.; Riegler, Michael; Halvorsen, Pål (2021). A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging. Medical Image Analysis. Vol. 70
- Valand, Joakim; Kadragic, Haris; Hicks, Steven; Thambawita, Vajira L B; Midoglu, Cise; Kupka, Tomas; Johansen, Dag; Riegler, Michael; Halvorsen, Pål (2021). Automated Clipping of Soccer Events using Machine Learning. Bulterman, Dick; Kankanhalli, Mohan S.; Muehlhaeuser, Max; Persia, Fabio; Sheu, Phillip; Tsai, Jeffrey J.P. (Ed.). Conference Proceedings: 2021 IEEE International Symposium on Multimedia (ISM). IEEE (Institute of Electrical and Electronics Engineers)
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- Borgli, Rune Johan; Stensland, Håkon Kvale; Halvorsen, Pål; Riegler, Michael Alexander (2019). Saga: An Open Source Platform for Training Machine Learning Models and Community-driven Sharing of Techniques. Gurrin, Cathal; Jónsson, Björn Thór; Peteri, Renaud; Rudinac, Stevan; Marchand-Maillet, Stephane; Quénot, Georges (Ed.). Proceedings of Content Based Multimedia Information (CBMI 2019). IEEE (Institute of Electrical and Electronics Engineers)
- Kirkerød, Mathias; Borgli, Rune Johan; Thambawita, Vajira; Hicks, Steven; Riegler, Michael; Halvorsen, Pål (2019). Unsupervised Preprocessing to Improve Generalisation for Medical Image Classification. International Symposium on Medical Information and Communication Technology
- Lux, Mathias; Halvorsen, Pål; Nguyen, Duc Tien Dang; Stensland, Håkon Kvale; Kesavulu, Manjo; Potthast, Martin; Riegler, Michael (2019). Summarizing E-Sports Matches and Tournaments - The Example of Counter-Strike: Global Offensive. Montagud, Mario; Simone, Fransesca De; Murray, Naill (Ed.). Proceedings of the 11th ACM Workshop on Immersive Mixed and Virtual Environment Systems. ACM Publications
- Jeppsson, Mattis; Espeland, Håvard; Kupka, Tomas; Langseth, Ragnar; Petlund, Andreas; Peng, Qiaoqiao; Xue, Chuansong; Johansen, Dag; Pogorelov, Konstantin; Stensland, Håkon Kvale; Griwodz, Carsten; Riegler, Michael; Halvorsen, Pål (2019). Efficient live and on-demand tiled HEVC 360 VR video streaming. International Journal of Semantic Computing (IJSC). Vol. 13. p. 367-391
- Markussen, Jonas Sæther; Kristiansen, Lars Bjørlykke; Borgli, Rune Johan; Stensland, Håkon Kvale; Seifert, Friedrich; Riegler, Michael Alexander; Griwodz, Carsten; Halvorsen, Pål (2019). Flexible device compositions and dynamic resource sharing in PCIe interconnected clusters using Device Lending. Cluster Computing. Vol. 22. p. 1-24
- Kashif, Ahmad; Pogorelov, Konstantin; Riegler, Michael; Nicola, Conci; Halvorsen, Pål (2019). Social media and satellites - Disaster event detection, linking and summarization. Multimedia Tools and Applications. Vol. 78. p. 2837-2875
- Hicks, Steven; Haugen, Trine B.; Halvorsen, Pål; Riegler, Michael (2019). Using deep learning to predict motility and morphology of human sperm. CEUR Workshop Proceedings. Vol. 2670
- Hicks, Steven; Smedsrud, Pia H; Riegler, Michael; Lange, Thomas de; Petlund, Andreas; Eskeland, Sigrun Losada; Pogorelov, Konstantin; Schmidt, Peter Thelin; Halvorsen, Pål (2019). Deep Learning for Automatic Geneation of Endoscopy Reports. Gastrointestinal Endoscopy. Vol. 89
- Henriksen, Fredrik Lund; Jensen, Rune; Stensland, Håkon Kvale; Johansen, Dag; Riegler, Michael; Halvorsen, Pål (2019). Performance of data enhancements and training optimization for neural network: A polyp detection case study. IEEE International Symposium on Computer-Based Medical Systems
- Riegler, Michael; Redi, Miriam (2018). An interview with Miriam Redi. ACM SIGMultimedia Records. Vol. 10. p. 2-2
- Smeaton, Alan; Riegler, Michael (2018). An interview with Prof. Alan Smeaton. ACM SIGMultimedia Records. Vol. 9. p. 1-1
- Soleymani, Mohammad; Riegler, Michael; Halvorsen, Pål (2018). Multimodal analysis of user behavior and browsed content under different image search intents. International Journal of Multimedia Information Retrieval. Vol. 7. p. 29-41
- Vajira, Lasantha Bandara Thambawita; Jha, Debesh; Riegler, Michael; Halvorsen, Pål; Hammer, Hugo Lewi; Johansen, Håvard D.; Johansen, Dag (2018). The Medico-Task 2018: Disease detection in the gastrointestinal tract using global features and deep learning. CEUR Workshop Proceedings. Vol. 2283
- Ahmad, Kashif; Pogorelov, Konstantin; Riegler, Michael; Halvorsen, Pål (2018). Social Media and Satellites. Disaster event detection, linking and summarization. Multimedia Tools and Applications. Vol. 78
- Thomee, Bart; Riegler, Michael (2018). Sharing and reproducibility in ACM SIGMM. ACM SIGMultimedia Records. Vol. 10. p. 1-1
- Kirkerød, Mathias; Vajira, Lasantha Bandara Thambawita; Riegler, Michael; Halvorsen, Pål (2018). Using preprocessing as a tool in medical image detection. CEUR Workshop Proceedings. Vol. 2283
- Ceja, Enrique Alejandro Garcia; Riegler, Michael; Nordgreen, Tine; Jakobsen, Petter; Ødegaard, Ketil Joachim; Tørresen, Jim (2018). Mental health monitoring with multimodal sensing and machine learning: A survey. Pervasive and Mobile Computing. Vol. 51. p. 1-26
- Gaddam, Vamsidhar Reddy; Langseth, Ragnar; Stensland, Håkon Kvale; Griwodz, Carsten; Riegler, Michael; Kupka, Tomas; Espeland, Håvard; Johansen, Dag; Johansen, Håvard D.; Halvorsen, Pål (2018). Camera Synchronization for Panoramic Videos. Montagud, Mario; Cesar, Pablo; Boronat, Fernando; Jansen, Jack (Ed.). MediaSync: Handbook on Multimedia Synchronization. Springer
- Hicks, Steven; Smedsrud, Pia; Halvorsen, Pål; Riegler, Michael (2018). Deep learning based disease detection using domain specific transfer learning. CEUR Workshop Proceedings. Vol. 2283
- Jeppsson, Mattis; Espeland, Håvard; Kupka, Tomas; Langseth, Ragnar; Petlund, Andreas; Qiaoqiao, Peng; Xue, Chuansong; Pogorelov, Konstantin; Riegler, Michael; Johansen, Dag; Griwodz, Carsten; Halvorsen, Pål (2018). Efficient Live and on-Demand Tiled HEVC 360 VR Video Streaming. Bulterman, Dick; Kankanhalli, Mohan (Ed.). 2018 IEEE International Symposium on Multimedia (ISM). IEEE (Institute of Electrical and Electronics Engineers)
- Ionescu, Bogdan Emanuel; Müller, Henning; Villegas, Mauricio; Herrera, Alba García Seco de; Eickhoff, Carsten; Andrearczyk, Vincent; Cid, Yashin Dicente; Liauchuk, Vitali; Kovalev, Vassili; Hasan, Sadid A.; Ling, Yuan; Farri, Oladimeji; Liu, Joey; Lungren, Matthew; Dang-Nguyen, Duc-Tien; Piras, Luca; Riegler, Michael; Zhou, Liting; Lux, Mathias; Gurrin, Cathal (2018). Overview of imageCLEF 2018: Challenges, datasets and evaluation. Lecture Notes in Computer Science (LNCS). Vol. 11018 LNCS. p. 309-334
- Ostroukhova, Olga; Pogorelov, Konstantin; Riegler, Michael; Nguyen, Duc Tien Dang; Halvorsen, Pål (2018). Transfer learning with prioritized classification and training dataset equalization for medical objects detection. CEUR Workshop Proceedings. Vol. 2283
- Pogorelov, Konstantin; Albisser, Zeno; Ostroukhova, Olga; Lux, Mathias; Johansen, Dag; Halvorsen, Pål; Riegler, Michael (2018). Opensea: open search based classification tool. Cesar, Pablo; Zink, Michael; Murray, Niall (Ed.). MMSys '18: Proceedings of the 9th ACM Multimedia Systems Conference. Association for Computing Machinery (ACM)
- Murabito, Francesca; Spampinato, Concetto; Palazzo, Simone; Giordano, Daniela; Pogorelov, Konstantin; Riegler, Michael (2018). Top-down saliency detection driven by visual classification. Computer Vision and Image Understanding. Vol. 172. p. 67-76
- Pogorelov, Konstantin; Ostroukhova, Olga; Jeppsson, Mattis; Espeland, Håvard; Griwodz, Carsten; Lange, Thomas de; Johansen, Dag; Riegler, Michael; Halvorsen, Pål (2018). Deep learning and hand-crafted feature based approaches for polyp detection in medical videos. IEEE International Symposium on Computer-Based Medical Systems. p. 381-386
- Said, Naina; Pogorelov, Konstantin; Ahmad, Kashif; Riegler, Michael; Ahmad, Nasir; Ostroukhova, Olga; Halvorsen, Pål; Conci, Nicola (2018). Deep learning approaches for flood classification and flood afermath detection. CEUR Workshop Proceedings. Vol. 2283. p. 1-3
- Lux, Mathias; Riegler, Michael; Nguyen, Duc Tien Dang; Larson, Marcus; Potthast, Martin; Halvorsen, Pål (2018). Team ORG @ GameStory task 2018. CEUR Workshop Proceedings. Vol. 2283
- Garcia-Ceja, Enrique; Riegler, Michael; Jakobsen, Petter; Tørresen, Jim; Nordgreen, Tine; Ødegaard, Ketil Joachim; Fasmer, Ole Bernt (2018). Depresjon: A motor activity database of depression episodes in unipolar and bipolar patients. Cesar, Pablo; Zink, Michael; Murray, Niall (Ed.). MMSys '18: Proceedings of the 9th ACM Multimedia Systems Conference. Association for Computing Machinery (ACM)
- Pogorelov, Konstantin; Riegler, Michael; Halvorsen, Pål; Hicks, Steven; Randel, Kristin Ranheim; Nguyen, Duc Tien Dang; Lux, Mathias; Ostroukhova, Olga; Lange, Thomas de (2018). Medico multimedia task at MediaEval 2018. CEUR Workshop Proceedings. Vol. 2283. p. 1-4
- Ceja, Enrique Alejandro Garcia; Riegler, Michael; Jakobsen, Petter; Tørresen, Jim; Nordgreen, Tine; Ødegaard, Ketil Joachim; Fasmer, Ole Bernt (2018). Motor activity based classification of depression in unipolar and bipolar patients. IEEE International Symposium on Computer-Based Medical Systems. p. 316-321
- Lux, Mathias; Riegler, Michael; Nguyen, Duc Tien Dang; Larson, Marcus; Potthast, Martin; Halvorsen, Pål (2018). GameStory task at MediaEval 2018. CEUR Workshop Proceedings. Vol. 2283. p. 1-4
- Hicks, Steven; Riegler, Michael; Pogorelov, Konstantin; Ånonsen, Kim Vidar; Lange, Thomas de; Johansen, Dag; Jeppsson, Mattis; Randel, Kristin Ranheim; Eskeland, Sigrun Losada; Halvorsen, Pål (2018). Dissecting deep neural networks for better medical image classification and classification understanding. IEEE International Symposium on Computer-Based Medical Systems. p. 363-368
- Jain, Ramesh; Riegler, Michael (2017). An interview with Prof. Ramesh Jain. ACM SIGMultimedia Records. Vol. 9. p. 1-1
- Ionescu, Bogdan; Dang-Nguyen, Duc-Tien; Gurrin, Cathal; Riegler, Michael (2017). Overview of ImageCLEF 2017: Information extraction from images. Experimental IR Meets Multilinguality, Multimodality, and Interaction.. Vol. 10456. p. 315-337
- Pogorelov, Konstantin; Randel, Kristin Ranheim; Griwodz, Carsten; Eskeland, Sigrun Losada; Lange, Thomas de; Johansen, Dag; Spampinato, Concetto; Dang-Nguyen, Duc-Tien; Lux, Mathias; Schmidt, Peter Thelin; Riegler, Michael; Halvorsen, Pål (2017). KVASIR: A Multi-Class Image Dataset for Computer Aided Gastrointestinal Disease Detection. Chen, Kuan-ta; Cesar, Pablo; Hsu, Cheng-Hsin (Ed.). Proceedings of the 8th ACM on Multimedia Systems Conference. Association for Computing Machinery (ACM)
- Pogorelov, Konstantin; Randel, Kristin Ranheim; Lange, Thomas de; Eskeland, Sigrun Losada; Griwodz, Carsten; Johansen, Dag; Spampinato, Concetto; Taschwer, Mario; Lux, Mathias; Schmidt, Peter Thelin; Riegler, Michael; Halvorsen, Pål (2017). Nerthus: A Bowel Preparation Quality Video Dataset. Chen, Kuan-ta; Cesar, Pablo; Hsu, Cheng-Hsin (Ed.). Proceedings of the 8th ACM on Multimedia Systems Conference. Association for Computing Machinery (ACM)
- Pogorelov, Konstantin; Eskeland, Sigrun Losada; Lange, Thomas de; Griwodz, Carsten; Randel, Kristin Ranheim; Stensland, Håkon Kvale; Dang-Nguyen, Duc-Tien; Spampinato, Concetto; Johansen, Dag; Riegler, Michael; Halvorsen, Pål (2017). A Holistic Multimedia System for Gastrointestinal Tract Disease Detection. Chen, Kuan-ta; Cesar, Pablo; Hsu, Cheng-Hsin (Ed.). Proceedings of the 8th ACM on Multimedia Systems Conference. Association for Computing Machinery (ACM)
- Riegler, Michael; Pogorelov, Konstantin; Halvorsen, Pål; Randel, Kristin Ranheim; Eskeland, Sigrun Losada; Dang-Nguyen, Duc-Tien; Lux, Mathias; Griwodz, Carsten; Spampinato, Concetto; Lange, Thomas de (2017). Multimedia for medicine: The medico task at mediaeval 2017. CEUR Workshop Proceedings. Vol. 1984
- Pogorelov, Konstantin; Riegler, Michael; Halvorsen, Pål; Griwodz, Carsten; Lange, Thomas de; Randel, Kristin Ranheim; Eskeland, Sigrun Losada; Dang-Nguyen, Duc-Tien; Ostroukhova, Olga; Lux, Mathias; Spampinato, Concetto (2017). A comparison of deep learning with global features for gastrointestinal disease detection. CEUR Workshop Proceedings. Vol. 1984
- Riegler, Michael; Pogorelov, Konstantin; Eskeland, Sigrun Losada; Schmidt, Peter Thelin; Albisser, Zeno; Johansen, Dag; Griwodz, Carsten; Halvorsen, Pål; Lange, Thomas de (2017). From annotation to computer-aided diagnosis: Detailed evaluation of a medical multimedia system. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP). Vol. 13. p. 1-26
- Pogorelov, Konstantin; Riegler, Michael; Eskeland, Sigrun Losada; Lange, Thomas de; Johansen, Dag; Griwodz, Carsten; Schmidt, Peter Thelin; Halvorsen, Pål (2017). Efficient disease detection in gastrointestinal videos – global features versus neural networks. Multimedia Tools and Applications. p. 1-33
- Ahmed, Iffat; Riegler, Michael; Petlund, Andreas; Griwodz, Carsten; Halvorsen, Pål (2017). Finding Equilibrium for Gym Ownership Distribution Based on Game Dynamics in Pokémon Go. Iosup, Alexandru; Schiele, Gregor (Ed.). Proceedings of the 2017 ACM International Workshop on Massively Multiuser Virtual Environments. ACM Digital Library
- Soleymani, Mohammad; Riegler, Michael; Halvorsen, Pål (2017). Multimodal Analysis of Image Search Intent: Intent Recognition in Image Search from User Behavior and Visual Content. Ionescu, Bogdan; Sebe, Nicu (Ed.). ICMR’17 Proceedings of the 2017 ACM International Conference on Multimedia Retrieval. ACM Digital Library
- Schoeffmann, Klaus; Münzer, Bernd; Riegler, Michael; Halvorsen, Pål (2017). Medical Multimedia Information Systems (MMIS). Liu, Qiong; Lienhart, Rainer; Wang, Haohong (Ed.). Proceedings of the 2017 ACM on Multimedia Conference. ACM Digital Library
- Pogorelov, Konstantin; Riegler, Michael; Halvorsen, Pål; Griwodz, Carsten (2017). ClusterTag: Interactive Visualization, Clustering and Tagging Tool for Big Image Collections. Ionescu, Bogdan; Sebe, Nicu (Ed.). ICMR’17 Proceedings of the 2017 ACM International Conference on Multimedia Retrieval. ACM Digital Library
- Kristiansen, Lars Bjørlykke; Markussen, Jonas; Stensland, Håkon Kvale; Riegler, Michael; Kohmann, Hugo; Seifert, Friedrich; Nordstrøm, Roy; Griwodz, Carsten; Halvorsen, Pål (2016). Device lending in PCI express networks. Hellwagner, Hermann (Ed.). Proceedings of the ACM Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV 2016). ACM Publications
- Riegler, Michael; Lux, Mathias; Griwodz, Carsten; SPAMPINATO, CONCETTO; Lange, Thomas de; Eskeland, Sigrun Losada; Pogorelov, Konstantin; Tavanapong, Wallapak; Schmidt, Peter T; Gurrin, Cathal Gerard; Johansen, Dag; Johansen, Håvard D.; Halvorsen, Pål (2016). Multimedia and Medicine: Teammates for Better Disease Detection and Survival. Hanjalic, Alan; Snoek, Cees; Worring, Marcel (Ed.). MM '16: Proceedings of the 2016 ACM on Multimedia Conference. Association for Computing Machinery (ACM)
- Nguyen, Duc Tien Dang; Zhou, Liting; Gupta, Rashmi; Riegler, Michael Alexander; Gurrin, Cathal (2016). Building a disclosed lifelog dataset: challenges, principles and processes. Ionescu, Bogdan; Müller, Henning (Ed.). 14th International Workshop on Content-Based Multimedia Indexing (CBMI). IEEE (Institute of Electrical and Electronics Engineers)
- Boididou, Christina; Papadopoulos, Symeon; Dang-Nguyen, Duc-Tien; Boato, Giulia; Riegler, Michael; Middleton, Stuart E.; Petlund, Andreas; Kompatsiaris, Yiannis (2016). Verifying Multimedia Use at MediaEval 2016. CEUR Workshop Proceedings. Vol. 1739
- Boididou, Christina; Middleton, Stuart E.; Papadopoulos, Symeon; Dang-Nguyen, Duc-Tien; Riegler, Michael; Boato, Giulia; Petlund, Andreas; Kompatsiaris, Yiannis (2016). The VMU Participation @ Verifying Multimedia Use 2016. CEUR Workshop Proceedings. Vol. 1739
- Pogorelov, Konstantin; Riegler, Michael; Markussen, Jonas; Stensland, Håkon Kvale; Halvorsen, Pål; Griwodz, Carsten; Eskeland, Sigrun Losada; Lange, Thomas de (2016). Efficient Processing of Videos in a Multi-Auditory Environment Using Device Lending of GPUs. Timmerer, Christian (Ed.). Proceedings of the 7th International Conference on Multimedia Systems. Association for Computing Machinery (ACM)
- Riegler, Michael; Gaddam, Vamsidhar Reddy; Larson, Martha; Eg, Ragnhild; Halvorsen, Pål; Griwodz, Carsten (2016). Crowdsourcing as self-fulfilling prophecy: Influence of discarding workers in subjective assessment tasks. Proceedings - International Workshop on Content-Based Multimedia Indexing. Vol. 2016-June
- Riegler, Michael; Pogorelov, Konstantin; Halvorsen, Pål; Lange, Thomas de; Griwodz, Carsten; Schmidt, Peter Thelin; Eskeland, Sigrun Losada; Johansen, Dag (2016). EIR - Efficient computer aided diagnosis framework for gastrointestinal endoscopies. Proceedings - International Workshop on Content-Based Multimedia Indexing. Vol. 2016-June
- Riegler, Michael; Larson, Martha; SPAMPINATO, CONCETTO; Halvorsen, Pål; Lux, Mathias; Markussen, Jonas; Pogorelov, Konstantin; Griwodz, Carsten; Stensland, Håkon Kvale (2016). Right inflight? A dataset for exploring the automatic prediction of movies suitable for a watching situation. Timmerer, Christian (Ed.). Proceedings of the 7th International Conference on Multimedia Systems. Association for Computing Machinery (ACM)
- Riegler, Michael; Dang-Nguyen, Duc-Tien; Winther, Bård Eirik; Griwodz, Carsten; Pogorelov, Konstantin; Halvorsen, Pål (2016). Heimdallr: A Dataset for Sport Analysis. Timmerer, Christian (Ed.). Proceedings of the 7th International Conference on Multimedia Systems. Association for Computing Machinery (ACM)
- Lux, Mathias; Riegler, Michael; Halvorsen, Pål; Pogorelov, Konstantin; Anagnostopoulos, Nektarios (2016). LIRE - Open Source Visual Information Retrieval. Timmerer, Christian (Ed.). Proceedings of the 7th International Conference on Multimedia Systems. Association for Computing Machinery (ACM)
- Gaddam, Vamsidhar Reddy; Riegler, Michael; Eg, Ragnhild; Griwodz, Carsten; Halvorsen, Pål (2016). Tiling in interactive panoramic video: Approaches and evaluation. IEEE transactions on multimedia. Vol. 18. p. 1819-1831
- Skarseth, Kristian; Bjørlo, Henrik; Halvorsen, Pål; Riegler, Michael; Griwodz, Carsten (2016). OpenVQ: A Video Quality Assessment Toolkit. Hanjalic, Alan; Snoek, Cees; Worring, Marcel (Ed.). MM '16: Proceedings of the 2016 ACM on Multimedia Conference. Association for Computing Machinery (ACM)
- Pogorelov, Konstantin; Riegler, Michael; Halvorsen, Pål; Schmidt, Peter Thelin; Griwodz, Carsten; Johansen, Dag; Eskeland, Sigrun Losada; Lange, Thomas de (2016). GPU-accelerated real-time gastrointestinal diseases detection. IEEE International Symposium on Computer-Based Medical Systems. Vol. 2016-August. p. 185-190
- Riegler, Michael; Pogorelov, Konstantin; Lux, Mathias; Halvorsen, Pål; Griwodz, Carsten; Lange, Thomas de; Eskeland, Sigrun Losada (2016). Explorative hyperbolic-tree-based clustering tool for unsupervised knowledge discovery. Proceedings - International Workshop on Content-Based Multimedia Indexing. Vol. 2016-June
- Riegler, Michael; Pogorelov, Konstantin; Markussen, Jonas; Lux, Mathias; Stensland, Håkon Kvale; Lange, Thomas de; Griwodz, Carsten; Halvorsen, Pål; Johansen, Dag; Schmidt, Peter T; Eskeland, Sigrun Losada (2016). Computer aided disease detection system for gastrointestinal examinations. Timmerer, Christian (Ed.). Proceedings of the 7th International Conference on Multimedia Systems. Association for Computing Machinery (ACM)
- Winther, Bård Eirik; Riegler, Michael; Calvet, Lilian; Griwodz, Carsten; Halvorsen, Pål (2015). Why Design Matters - Crowdsourcing of Complex Tasks. Zimmermann, Roger; Zhang, Yongdong (Ed.). Proceedings of the Fourth International Workshop on Crowdsourcing for Multimedia. Association for Computing Machinery (ACM)
- Moazzam, Waqas; Riegler, Michael; Sen, Sagar; Nygård, Mari (2015). Scientific hangman: Gamifying scientific evidence for general public. CEUR Workshop Proceedings. Vol. 1345. p. 26-33
- Riegler, Michael; Eg, Ragnhild; Calvet, Lilian; Lux, Mathias; Halvorsen, Pål; Griwodz, Carsten (2015). Playing around the eye tracker: A serious game based dataset. CEUR Workshop Proceedings. Vol. 1345. p. 34-40
- Riegler, Michael; Lux, Mathias; Zellot, Christian; Knoch, Lukas; Schnattler, Horst; Napetschnig, Sabrina; Kogler, Julian; Degendorfer, Claus; Spot, Norbert; Zoderer, Manuel (2014). Gone: an interactive experience for two people. Hua, Kien A.; Rui, Yong; Steinmetz, Ralf (Ed.). MM’14 Proceedings of the 2014 ACM Conference on Multimedia. Association for Computing Machinery (ACM)
- Riegler, Michael; Martha, Larson; Mathias, Lux; Christoph, Kofler (2014). How 'How' Reflects What's What: Content-based Exploitation of How Users Frame Social Images. Hua, Kien A.; Rui, Yong; Steinmetz, Ralf (Ed.). MM’14 Proceedings of the 2014 ACM Conference on Multimedia. Association for Computing Machinery (ACM)
Research reports (4)
- Hammer, Hugo Lewi; Riegler, Michael Alexander; Delbarre, Erwan; Stensen, Mette Haug; Sharma, Akriti (2025). Application of Artificial Intelligence in Assisted Reproductive Technology. 243 p.. OsloMet - storbyuniversitetet
- Thambawita, Vajira; Jha, Debesh; Riegler, Michael; Halvorsen, Pål; Hammer, Hugo Lewi; Johansen, Håvard D.; Johansen, Dag (2018). The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract using Global Features and Deep Learning. 3 p.. MediaEval 2018, arXiv:1810.13278, Cornell University
- Nguyen, Duc Tien Dang; Riegler, Michael (2018). GameStory Task at MediaEval 2018. 3 p.. CEUR Workshop Proceedings
- Riegler, Michael (2017). EIR - A Medical Multimedia System for Efficient Computer Aided Diagnosis. University of Oslo (UiO)
Dissemination (196)
- Bremer, Joanna; Narud, Birgitte; Maj, Michal; Riegler, Michael; Hansen, Terkel; Harbak, Møyfrid Therese Myhre; Klinkenberg, Geir; Heggelund, Kristian; hoff, Solvei Cottis; Søberg, Morten; Lie, Olav; Kommisrud, Elisabeth (2026). Towards semen collection at younger age: non-invasive monitoring of puberty onset in young beef bulls at performance testing stations. XVth International Symposium on Spermatology
- Surowiec, Thomas; Riegler, Michael; Kirkeby, Adrian (2026). Vi trenger ikke høyere temperatur i KI-debatten
- Riegler, Michael; Lysne, Olav; Pettersen, Klas (2026). Et digitalt suverent Norden er mulig
- Riegler, Michael; Lysne, Olav (2026). Pentagons nye nervesystem gir utfordringer for Europa
- Riegler, Michael; Lysne, Olav (2025). Vi så ikke maktkonsentrasjonen i 1999. Ser vi den nå?
- Hammer, Hugo Lewi; Thambawita, Vajira; Riegler, Michael (2025). Reply: Foundation models in IVF: from speculation to implementation with FEMI
- Halnes, Geir; Javaid, Anam; Solvang, Michael; Nichele, Stefano; Riegler, Michael; Singstad, Bjørn-Jostein; Beferull-Lozano, Baltasar; Moreno, Emilio Ruiz; Lopez-Ramos, Luis M.; Khalife, Mehrzad Abdi; Ramstad, Ola Huse; Issa, Hamze; Surko, Arina; Sandvig, Axel; Ogul, Hasan; Fantin, Daniele; Sandvig, Ioanna; Vibe, Christopher; Visoka, Kushtrim; HoushmandSarkhoosh, Mehdi; Leyos, Aaron de; Umu, Sinan Ugur; Johannsen, Klaus; Indrehus, Kjetil; McMillan, Malcom; Kropiunig, Julia; Marinelli, Ryan Anthony; Machot, Fadi Al; Tai, Xue-Cheng; Gasparini, Andrea Alessandro; Parkes, David; Sari, Semra Oztemel; Fonnes, Gro; Midoglu, Cise; Tkachenko, Anton; Bashir, Maria; Lyng, Kari-Anne Kallerud; Demrozi, Florenc; Briggs, Kate; You, Junyong; Riemer-Sørensen, Signe; Adolphi, Benjamin Daniel; Horsch, Martin Thomas; Subramaniam, Arangan; Hallac, Ibrahim Riza; Plataniti, Lina; Liu, Hao; Lepperød, Mikkel Elle; Choi, Changkyu; Castberg, Preben; Qassi, Abdelaziz; Chan, Raymond H.; Stein, Anja; Preisig, Heinz Adolf; Stasik, Alexander Johannes; Sabet, Saeed Shafiee; Handegard, Nils Olav; Jenssen, Robert; Sæbø, Solve; Rubach, Synnøve; Netto, Waldir Leoncio; Pandey, Pankaj; Wuite, Jan; Shakeri, Arezo; Singh, Shailendra; Ramezani-Kebrya, Ali; Halvorsen, Pål; Leslie, David S.; Iervasi, Matteo; Stokke, Mathis Korseberg; Kupka, Tomas; Li, Lingfeng; Fredriksen, Helge; Mirbagheri, Shakiba Sadat; Ramezanikebrya, Ali; Hay, Jacob Alexander; Djupskås, Aslak; FNorwayarmanbar, Mina; Sartori, Claudio; Reimers, Felix Simon; Nagler, Thomas; Leeson, Amber (2025). Proceedings of NORA’s annual conference 2025. Nordic Machine Intelligence (NMI). Vol. 5. p. 1-14
- Lysne, Olav; Riegler, Michael; Cicic, Tarik; Bryhni, Haakon (2025). Microsoft-blokaden bør vekke Norge
- Riegler, Michael; Lysne, Olav; Røstad, Lillian (2025). KI blir krigføring. I Trumps æra gir det Norge et sikkerhetsproblem
- Lysne, Olav; Riegler, Michael; Jensen, Jostein; Berrefjord, Vivi; Espen, Pål (2025). Hvem kontrollerer teknologien som kontrollerer våre liv - Paneldebatt
- Lysne, Olav; Riegler, Michael (2025). AI security. Tverrdepartemental KI-gruppe, Ministry of Digitalisation and Public Governance, Oslo, Norway
- Gautam, Sushant; Riegler, Michael; Halvorsen, Pål (2025). HEDGE: Hallucination Estimation via Dense Geometric Entropy for VQA with Vision-Language Models
- Hannay, Jo; Riegler, Michael (2025). KI-feberen: Når middelet blir målet
- Riegler, Michael (2025). Fastlåste verdier for alltid?
- Chatterjee, Ayan; Riegler, Michael; Johnson, Miriam S.; Das, Jishnu; Pahari, Nibedita; Ramachandra, Raghavendra; Ghosh, Bikramaditya; Saha, Arpan; Bajpai, Ram (2025). Erratum: Author Correction: Exploring online public survey lifestyle datasets with statistical analysis, machine learning and semantic ontology (Scientific reports (2024) 14 1 DOI: 10.1038/s41598-024-74539-6.). Scientific Reports. Vol. 15. p. 4976-4976
- Matthias, Boeker,; Thambawita, Vajira L B; Riegler, Michael; Halvorsen, Pål; Hammer, Hugo Lewi (2024). Advancing sleep detection by modelling weak label sets: A novel weakly supervised learning approach
- Salehi, Pegah; Hassan, Syed; Baugerud, Gunn; Powell, Martine; Cano, Cayetana; Johnson, Miriam; Røed, Ragnhild; Johansen, Dag; Sabet, Saeed; Riegler, Michael; Halvorsen, Pål (2024). Immersive Virtual Reality in Child Interview Skills Training: A Comparison of 2D and 3D Environments. Proceedings of the 16th International Workshop on Immersive Mixed and Virtual Environment Systems
- Sharma, Akriti; Alawad, Faiga; Kakulavarapu, Radhika; Iliceto, Mario; Riegler, Michael; Stensen, Mette; Hammer, Hugo (2024). Exploring Embryo Development at the Morula Stage-an AI-based Approach to Determine Whether to Use or Discard an Embryo. 2024 4th International Conference on Applied Artificial Intelligence (ICAPAI)
- Papachrysos, Nikolaos; Smedsrud, Pia Helen; Ånonsen, Kim Vidar; Berstad, Tor Jan; Espeland, Håvard; Petlund, Andreas; Hedenström, Per; Halvorsen, Pål; Varkey, Jonas; Hammer, Hugo Lewi; Riegler, Michael; Lange, Thomas de (2024). A comparative study benchmarking colon polyp detection with CADe software. Endoscopy. Vol. S02. p. S92-S93
- Andersen, Jorunn; Witczak, Oliwia; Due, E.U.; Hicks, Steven; Thambawita, Vajira; Bjørndal, Lars; Riegler, Michael; Haugen, Trine (2024). Sperm motility assessed by deep convolutional neural networks into WHO categories. Reproductive BioMedicine Online
- Knutsen, Leif; Hannay, Jo; Riegler, Michael (2024). Artificial Intelligence in the Public Sector -- An Agenda for Responsible Innovation through Learning. Proceedings of the 7th ACM/IEEE International Workshop on Software-Intensive Business
- Riegler, Michael; Bryhni, Haakon (2024). Militære anvendelser av kunstig intelligens for autonome militære kommunikasjonsnett og datafusjon fra mange sensorer. FSI, Norge
- Sterri, Aksel; Riegler, Michael (2024). KI må være demokratisk og billig
- Riegler, Michael (2024). KI-toget går. Er offentlig sektor klar for turen?
- Hannay, Jo; Riegler, Michael (2024). KI-feberen: Når middelet blir målet
- Riegler, Michael (2024). OpenAI o1: Et stort fremskritt eller bare et steg videre?
- Lysne, Olav; Riegler, Michael (2024). EU-lov om kunstig intelligens godkjent - hva burde Norge gjøre nå?
- Riegler, Michael (2024). AI 2.0 og norsk industri: En revolusjon i vente
- Riegler, Michael (2024). Norge sløser med tid og ressurser i AI-satsingen
- Riegler, Michael (2024). Norge trenger en bedre demokratisk prosess for kunstig intelligens
- Riegler, Michael; Knust, Nandor (2024). Få juridiske rammer for KI
- Thambawita, Vajira; Storås, Andrea; Huynh, Tuan-Luc; Halvorsen, Pål; Riegler, Michael; Hicks, Steven (2024). Medico Multimedia Task at MediaEval 2023: Transparent Tracking of Spermatozoa. MediaEval’23: Multimedia Evaluation Workshop
- Mikkola, Marja; Desmet, Karolien; Kommisrud, Elisabeth; Riegler, Michael (2024). Recent advancements and trends in Assisted Reproductive Technologies (ART) to increase success of artificial insemination and embryo transfer programs – the European perspective. 2024 SBTE Annual meeting
- Nassehi, Damoun; Riegler, Michael (2024). Kritisk veiskille for integrering av kunstig intelligens. Vol. 144
- Riegler, Michael (2023). KI og kunstig befruktning
- Riegler, Michael; Lison, Pierre; Falkum, Ingrid Lossius (2023). Kunstig intelligens-modeller er ikke miniatyrversjoner av den menneskelige hjernen
- Sharma, Akriti; Stensen, Mette; Delbarre, Erwan; Siddiqui, Momin; Haugen, Trine; Riegler, Michael; Hammer, Hugo (2023). Detecting human embryo cleavage stages using YOLO v5 object detection algorithm. Nordic Artificial Intelligence Research and Development
- Storås, Andrea; Fineide, Fredrik; Hammer, Hugo Lewi; Khan, Ayyad Ahmad Zartasht; Magnø, Morten Schjerven; Chen, Xiangjun; Halvorsen, Pål; Utheim, Tor Paaske; Riegler, Michael Alexander (2023). Using explainable artificial intelligence (XAI) to explore factors affecting meibomian gland (MG) dropout. Investigative Ophthalmology and Visual Science
- Fineide, Fredrik; Storås, Andrea; Magnø, Morten Schjerven; Hammer, Hugo Lewi; Chen, Xiangjun; Khan, Ayyad Ahmad Zartasht; Halvorsen, Pål; Utheim, Tor Paaske; Riegler, Michael Alexander (2023). Predicting the degree of meibomian gland dropout with artificial intelligence. Investigative Ophthalmology and Visual Science
- Thambawita, Vajira L B; Hicks, Steven; Storås, Andrea; Andersen, Jorunn Marie; Witczak, Oliwia; Haugen, Trine B.; Hammer, Hugo Lewi; Nguyen, Thu; Halvorsen, Pål; Riegler, Michael Alexander (2023). Medico Multimedia Task at MediaEval 2022: Transparent Tracking of Spermatozoa. CEUR Workshop Proceedings
- Thambawita, Vajira; Hicks, Steven A.; Storås, Andrea; Andersen, Jorunn Marie; Witczak, Oliwia; Nguyen, Thu; Haugen, Trine B.; Hammer, Hugo Lewi; Riegler, Michael; Halvorsen, Pål (2023). Medico multimedia task at MedialEval: transparent tracking of spermatozoa. 22nd European Testis Workshop
- Nordmo, Tor-Arne; Ovesen, Aril; Johansen, Havard; Johansen, Dag; Riegler, Michael (2023). NjordVid: A Fishing Trawler Video Analytics Task. MediaEval’22: Multimedia Evaluation Workshop
- Torpmann-Hagen, Birk; Halvorsen, Pål; Riegler, Michael; Johansen, Dag (2023). Addressing Generalization Failure in Deep Detection Models for Fishing Trawler Video Analytics. MediaEval’22: Multimedia Evaluation Workshop
- Riegler, Michael; Lepperød, Mikkel; Røstad, Lillian (2023). Norge som fanebærer for etikk i en uforutsigbar framtid
- Riegler, Michael (2023). Sperm-tracking, use of a human sperm dataset. Workshop in Spermatology
- Riegler, Michael (2023). Automatic Tracking of the ICSI procedure using Deep Learning. Workshop in Spermatology
- Riegler, Michael Alexander; Reinertsen, Hilde; Sareen, Siddharth (2023). Hvordan vil kunstig intelligens forme verden de neste ti årene?
- Habault, Guillaume; Dao, Minh-Son; Riegler, Michael; Nguyen, Duc Tien Dang; Nakashima, Yuta; Gurrin, Cathal (2023). ICDAR’23: Intelligent Cross-Data Analysis and Retrieval. Habault, Guillaume; Dao, Minh-Son; Riegler, Michael; Nguyen, Duc Tien Dang; Nakashima, Yuta; Gurrin, Cathal (Ed.). ICDAR’23: Proceedings of the 4th ACM Workshop on Intelligent Cross-Data Analysis and Retrieval. Association for Computing Machinery (ACM)
- Thambawita, Vajira L B; Storås, Andrea; Huynh, Tuan-Luc; Nguyen, Hai-Dang; Tran, Minh-Triet; Le, Trung-Nghia; Halvorsen, Pål; Riegler, Michael; Hicks, Steven; Tran, Thien-Phuc (2023). Medico Multimedia Task at MediaEval 2023: Transparent Tracking of Spermatozoa. MediaEval 2023 Multimedia Benchmark Workshop 2023
- Chatterjee, Ayan; Pahari, Nibedita; Prinz, Andreas; Riegler, Michael (2023). Author Correction: Machine learning and ontology in eCoaching for personalized activity level monitoring and recommendation generation (Scientific Reports, (2022), 12, 1, (19825), 10.1038/s41598-022-24118-4). Scientific Reports. Vol. 13
- Dao, Minh-Son; Riegler, Michael; Dang-Nguyen, Duc-Tien; Gurrin, Cathal (2022). ICDAR’22: Intelligent Cross-Data Analysis and Retrieval. 2022 International Conference on Multimedia Retrieval
- Goodwin, Morten; Pettersen, Klas Henning; Riegler, Michael (2022). Episode 7 - Michael Riegler explains Artificial Intelligence
- Ahmed, Azza H.; Riegler, Michael; Hicks, Steven; Elmokashfi, Ahmed (2022). RCAD:Real-time Collaborative Anomaly Detection System for Mobile Broadband Networks. ACM SIGKDD Conference on Knowledge Discovery and Data Mining
- Hassan, Syed; Salehi, Pegah; Riegler, Michael; Johnson, Miriam; Baugerud, Gunn; Halvorsen, Pål; Sabet, Saeed (2022). Virtual Reality Talking Avatar for Investigative Interviews of Maltreat Children. 19th International Conference on Content-based Multimedia Indexing
- Thambawita, Vajira; Hicks, Steven; Storås, Andrea; Andersen, Jorunn; Witczak, Oliwia; Haugen, Trine; Hammer, Hugo; Nguyen, Thu; Halvorsen, Pål; Riegler, Michael (2022). Medico Multimedia Task at MediaEval 2022: Transparent Tracking of Spermatozoa. MediaEval 2022
- Hicks, Steven; Thambawita, Vajira L B; Storås, Andrea; Haugen, Trine B.; Hammer, Hugo Lewi; Halvorsen, Pål; Riegler, Michael Alexander; Stensen, Mette Haug (2022). P-272 Automatic Tracking of the ICSI procedure using Deep Learning. Human Reproduction. Vol. 37
- Thambawita, Vajira L B; Hicks, Steven; Storås, Andrea; Witczak, Oliwia; Andersen, Jorunn Marie; Hammer, Hugo Lewi; Halvorsen, Pål; Riegler, Michael Alexander; Haugen, Trine B. (2022). P-108 Real-time deep learning based multi object tracking of spermatozoa in fresh samples. Human Reproduction
- Hicks, Steven; Storås, Andrea; Riegler, Michael; Midoglu, Cise; Hammou, Malek; Lange, Thomas de; Halvorsen, Pål (2022). Visual explanations for polyp detection: How medical doctors assess intrinsic versus extrinsic explanations
- Reinke, Annika; Riegler, Michael (2022). Metrics Reloaded - A new recommendation framework for biomedical image analysis validation. Medical Imaging with Deep Learning
- Storås, Andrea; Strümke, Inga; Riegler, Michael; Halvorsen, Pål (2022). Explainability methods for machine learning systems for multimodal medical datasets: research proposal. ACM Multimedia Systems (MMSys) Conference
- Aneja, Shivangi; Midoglu, Cise; Dang-Nguyen, Duc-Tien; Khan, Sohail; Riegler, Michael; Halvorsen, Pål (2022). ACM Multimedia Grand Challenge on Detecting Cheapfakes
- Reinke, Annika; Baumgartner, Michael; Madani, Amin; Petersen, Jens; Riegler, Michael (2022). Common Limitations of Image Processing Metrics: A Picture Story
- Johansen, Dag; Johansen, Håvard D.; Riegler, Michael (2022). Muligheter og skranker for bruk av teknologi og kunstig intelligens ved forebygging av fiskerikriminalitet. Blå krim dialogforum
- Johansen, Håvard D.; Johansen, Dag; Juliussen, Bjørn Aslak; Nordmo, Tor-Arne Schmidt; Ovesen, Aril Bernhard; Halvorsen, Pål; Riegler, Michael Alexander; Rui, Jon Petter (2022). Sustainable commercial fishing: Digital inspectors to the rescue. Arctic Frontiers
- Riegler, Michael Alexander; Johansen, Dag; Juliussen, Bjørn Aslak; Nordmo, Tor-Arne Schmidt; Ovesen, Aril Bernhard; Halvorsen, Pål; Johansen, Håvard D.; Rui, Jon Petter (2022). Njord: An out-in-the-wild real world fish vessel catch analysis dataset. Arctic Frontiers
- Johansen, Dag; Juliussen, Bjørn Aslak; Nordmo, Tor-Arne Schmidt; Ovesen, Aril Bernhard; Halvorsen, Pål; Johansen, Håvard D.; Riegler, Michael Alexander; Rui, Jon Petter (2022). Sustainable commercial fishing: Digital inspectors to the rescue. Arctic Frontiers : Abstracts
- Riegler, Michael Alexander; Johansen, Dag; Juliussen, Bjørn Aslak; Nordmo, Tor-Arne Schmidt; Ovesen, Aril Bernhard; Halvorsen, Pål; Johansen, Håvard D.; Rui, Jon Petter (2022). Njord: An out-in-the-wild real world fish vessel catch analysis dataset. Arctic Frontiers : Abstracts
- Nordmo, Tor-Arne Schmidt; Ovesen, Aril Bernhard; Juliussen, Bjørn Aslak; Hicks, Steven A.; Thambawita, Vajira; Johansen, Håvard D.; Halvorsen, Pål; Riegler, Michael; Johansen, Dag (2022). Njord: A Fishing Trawler Dataset. MMsys 2022
- Storås, Andrea; Riegler, Michael Alexander; Halvorsen, Pål; Åsberg, Anders; Strumke, Inga (2022). Predicting drug exposure in kidney transplanted patients using machine learning. NORA Annual Conference 2022
- Storås, Andrea; Strumke, Inga; Riegler, Michael Alexander; Halvorsen, Pål (2022). Explainable Artificial Intelligence in Medicine. Nordic AI young researcher symposium (Nordic AI Meet) 2022
- Nordmo, Tor-Arne Schmidt; Ovesen, Aril Bernhard; Juliussen, Bjørn Aslak; Hicks, Steven A.; Thambawita, Vajira; Johansen, Håvard D.; Halvorsen, Pål; Riegler, Michael; Johansen, Dag (2022). Njord: A Fishing Trawler Dataset. MMsys 2022
- Strumke, Inga; Lysne, Olav; Riegler, Michael Alexander (2022). Data samlet fra åpne kilder er ikke ufarlig
- Lysne, Olav; Strumke, Inga; Riegler, Michael Alexander (2022). Data samlet fra åpne kilder er ikke ufarlig
- Eide, Siri; Riegler, Michael; Hammer, Hugo; Bremnes, John; Dao, Minh-Son; Dang-Nguyen, Duc-Tien; Riegler, Michael (2021). Temperature Forecasting using Tower Networks. Proceedings of the 2021 Workshop on Intelligent Cross-Data Analysis and Retrieval
- Hicks, Steven A.; Jha, Debesh; Thambawita, Vajira L B; Hammer, Hugo Lewi; Lange, Thomas de; Parasa, Sravanthi; Riegler, Michael; Halvorsen, Pål (2021). Medico Multimedia Task at MediaEval 2021: Transparency in Medical Image Segmentation. MediaEval Medico 2021
- Hassan, Syed; Ahmad, Kashif; Riegler, Michael; Hicks, Steven; Halvorsen, Pål (2021). Visual Sentiment Analysis: A Natural Disaster Use-case Task at MediaEval 2021. MediaEval 2021
- Aneja, Shivangi; Midoglu, Cise; Dang-Nguyen, Duc-Tien; Riegler, Michael; Halvorsen, Pål (2021). MMSys'21 Grand Challenge on Detecting Cheapfakes
- Johansen, Dag; Juliussen, Bjørn; Nordmo, Tor-Arne; Ovesen, Aril; Halvorsen, Pål; Johansen, Håvard; Riegler, Michael; Rui, Jon (2021). Sustainable Commercial Fishing: Digital Inspectors to the Rescue. Arctic Frontiers
- Riegler, Michael; Johansen, Dag; Juliussen, Bjørn; Nordmo, Tor-Arne; Ovesen, Aril; Halvorsen, Pål; Johansen, Håvard; Rui, Jon (2021). Njord: An out-in-the-wild real world fish vessel catch analysis dataset. Arctic Frontiers
- Jha, Debesh; Tomar, Nikhil; Riegler, Michael; Johansen, Håvard; Johansen, Dag; Lange, Thomas de; Halvorsen, Pål (2021). NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy. 34th IEEE CBMS International Symposium on Computer-Based Medical Systems
- Thambawita, Vajira; Hicks, Steven; Strümke, Inga; Riegler, Michael; Halvorsen, Pål (2021). Impact of Image Resolution on Convolutional Neural Networks Performance in Gastrointestinal Endoscopy. DDW 2021
- Thambawita, Vajira; Strümke, Inga; Hicks, Steven; Riegler, Michael; Halvorsen, Pål (2021). Data Augmentation Using Generative Adversarial Networks For Creating Realistic Artificial Colon Polyp Images. DDW 2021
- Jakobsen, Petter; Stautland, Andrea; Riegler, Michael; Côté-Allard, Ulysse Teller Masao; Sepasdar, Zahra; Nordgreen, Tine; Tørresen, Jim; Fasmer, Ole Bernt; Ødegaard, Ketil Joachim (2021). Motor activity analyses distinguish manic and euthymic mood states in bipolar disorder. Bipolar Disorders. Vol. 23
- Jakobsen, Petter; Stautland, Andrea; Riegler, Michael; Côté-Allard, Ulysse; Sepasdar, Zahra; Nordgreen, Tine; Tørresen, Jim; Fasmer, Ole Bernt; Ødegaard, Ketil Joachim (2021). Motor activity analyses distinguish manic and euthymic mood states in bipolar disorder. the 23rd Annual Conference of the International Society for Bipolar Disorders
- Tomar, Nikhil Kumar; Jha, Debesh; Ali, Sharib; Johansen, Håvard D.; Johansen, Dag; Riegler, Michael; Halvorsen, Pål (2021). DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation. ICPR 2021: Pattern Recognition. ICPR International Workshops and Challenges
- Srivastava, Abhishek; Chanda, Sukalpa; Jha, Debesh; Riegler, Michael; Halvorsen, Pål; Johansen, Dag; Umapada, Pal (2021). PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentation. IEEE Biosmart 2021
- Valand, Joakim; Kadragic, Haris; Hicks, Steven; Thambawita, Vajira L B; Midoglu, Cise; Kupka, Tomas; Johansen, Dag; Riegler, Michael; Halvorsen, Pål (2021). Automated Clipping of Soccer Events using Machine Learning. ISM 2021 : 23rd IEEE International Symposium on Multimedia
- Strumke, Inga; Hicks, Steven; Thambawita, Vajira L B; Jha, Debesh; Parasa, Sravanthi; Riegler, Michael Alexander; Halvorsen, Pål (2021). Artificial Intelligence in Gastroenterology. Niklas, Lidströmer; Hutan, Ashrafian (Ed.). Artificial Intelligence in Medicine. Springer Nature
- Hicks, Steven; Jha, Debesh; Thambawita, Vajira L B; Halvorsen, Pål; Singstad, Bjørn Jostein; Gaur, Sachin; Pettersen, Klas; Goodwin, Morten; Parasa, Sravanthi; Lange, Thomas de; Riegler, Michael Alexander (2021). MedAI: Transparency in Medical Image Segmentation. Nordic Machine Intelligence (NMI). Vol. 1
- Thambawita, Vajira L B; Hicks, Steven; Strumke, Inga; Riegler, Michael Alexander; Halvorsen, Pål; Parasa, Sravanthi (2021). Fr615 IMPACT OF IMAGE RESOLUTION ON CONVOLUTIONAL NEURAL NETWORKS PERFORMANCE IN GASTROINTESTINAL ENDOSCOPY. Gastroenterology. Vol. 160. p. s-377-s-377
- Thambawita, Vajira L B; Strumke, Inga; Hicks, Steven; Riegler, Michael Alexander; Halvorsen, Pål; Parasa, Sravanthi (2021). ID: 3523524 DATA AUGMENTATION USING GENERATIVE ADVERSARIAL NETWORKS FOR CREATING REALISTIC ARTIFICIAL COLON POLYP IMAGES: VALIDATION STUDY BY ENDOSCOPISTS. Gastrointestinal Endoscopy. Vol. 93. p. AB190-AB190
- Jha, Debesh; Ali, Sharib; Tomar, Nikhil Kumar; Johansen, Håvard D.; Johansen, Dag; Riegler, Michael; Halvorsen, Pål (2021). Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy. 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)
- Riegler, Michael; Lison, Pierre; Strümke, Inga; Løland, Anders (2020). For enkelt om kunstig intelligens: – Diskriminerende og fordomsfull AI er ikke alltid lett å løse. Forskning.no
- Jha, Debesh; Yazidi, Anis; Riegler, Michael; Johansen, Dag; Johansen, Håvard; Halvorsen, Pål (2020). LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification. The Joint International Conference PDCAT-PAAP 2020
- Jha, Debesh; Yazidi, Anis; Riegler, Michael Alexander; Johansen, Dag; Johansen, Håvard D.; Halvorsen, Pål (2020). LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification. The 21st International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT'20)
- Hicks, Steven; Jha, Debesh; Thambawita, Vajira; Halvorsen, Pål; Hammer, Hugo; Riegler, Michael (2020). The EndoTect 2020 Challenge: Evaluation and Comparison of Classification, Segmentation and Inference Time for Endoscopy. 25th International Conference on Pattern Recognition (ICPR)
- Svoren, Henrik; Thambawita, Vajira; Halvorsen, Pål; Jakobsen, Petter; Garcia-Ceja, Enrique; Noori, Farzan; Hammer, Hugo; Lux, Mathias; Riegler, Michael; Hicks, Steven (2020). Toadstool: A Dataset for Training Emotional IntelligentMachines Playing Super Mario Bros. The ACM Multimedia Systems Conference (MMSys)
- Hicks, Steven; Haugen, Trine B.; Iliceto, Mario; Hammer, Hugo Lewi; Andersen, Jorunn Marie; Witczak, Oliwia; Riegler, Michael; Stensen, Mette Haug (2020). Big data is not always better – prediction of live birth using machine learning on time-lapse videos of human embryos. ESHRE virtual 36th Annual Meeting
- Jha, Debesh; Ali, Sharib; Hicks, Steven; Thambawita, Vajira; Garcia-Ceja, Enrique; Riegler, Michael; Lange, Thomas de; Schmidt, Peter; Johansen, Håvard; Johansen, Dag; Halvorsen, Pål (2020). Kvasir-instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy. International Conference on Multimedia Modeling
- Chen, Chang; Cucchiara, Rita; Hoang, Tuan; Riegler, Michael (2020). Reproducibility Companion Paper: Selective Deep Convolutional Features for Image Retrieval. Proceedings of the 28th ACM International Conference on Multimedia
- Chen, Chang; Cucchiara, Rita; Yu, Fan; Riegler, Michael (2020). Reproducibility Companion Paper: Instance of Interest Detection. Proceedings of the 28th ACM International Conference on Multimedia
- Johansen, Håvard D.; Johansen, Dag; Kupka, Tomas; Riegler, Michael; Halvorsen, Pål (2020). Scalable Infrastructure for Efficient Real-Time Sports Analytics. 1st Workshop on Action Modelling for Interaction and Analysis in Smart Sports and Physical Education (MAIStroPE)
- Pontes-Filho, Sidney; Olsen, Kristoffer; Yazidi, Anis; Halvorsen, Pål; Riegler, Michael; Nichele, Stefano (2020). Towards the evolution of spiking neural networks for self-supervision with neuroplasticity. From Neuroscience to Artificially Intelligent Systems
- Jha, Debesh; H, Smedsrud Pia; Riegler, Michael; Halvorsen, Pål; Lange, Thomas de; Johansen, Dag; Johansen, Håvard D. (2020). Kvasir-SEG: A Segmented Polyp Dataset. MMM 2020: International Conference on Multimedia Modeling
- Jakobsen, Petter; Garcia-Ceja, Enrique; Riegler, Michael; Stabell, Lena Antonsen; Nordgreen, Tine; Tørresen, Jim; Fasmer, Ole Bernt; Ødegaard, Ketil Joachim (2020). Applying Machine Learning in Motor Activity Time Series of Depressed Bipolar and Unipolar Patients.. The 22nd Annual Conference of the International Society for Bipolar Disorders
- Jakobsen, Petter; Riegler, Michael; Nordgreen, Tine; Tørresen, Jim; Fasmer, Ole Bernt; Ødegaard, Ketil Joachim (2020). Complexity analysis of motor activity shows differences for patients with bipolar I disorder in manic and euthymic phases.. The 22nd Annual Conference of the International Society for Bipolar Disorders
- Nordskog, Aanund Jupskaas; Halvorsen, Pål; Hicks, Steven; Stensland, Haakon; Hammer, Hugo Lewi; Johansen, Dag; Riegler, Michael (2019). Semantic Analysis of Soccer News for Automatic Game Event Classification. CBMI 2019: International Conference on Content-Based Multimedia Indexing
- Witczak, Oliwia; Andersen, Jorunn Marie; Hicks, Steven; Hammer, Hugo Lewi; Riegler, Michael; Haugen, Trine B. (2019). Artificial intelligence predicts sperm motility from sperm fatty acids. ESHRE 35th Annual Meeting
- Riegler, Michael; Andersen, Jorunn Marie; Hammer, Hugo Lewi; Hicks, Steven; Witczak, Oliwia; Haugen, Trine B. (2019). Artificial intelligence as a tool in predicting sperm motility and morphology. ESHRE 35th Annual Meeting
- Bahirat, Kanchan; Riegler, Michael (2019). Using Mr. MAPP for Lower Limb Phantom Pain Management. Proceedings of the 27th ACM International Conference on Multimedia
- Dang-Nguyen, Duc-Tien; Piras, Luca; Riegler, Michael; Gurrin, Cathal (2019). Overview of ImageCLEFlifelog 2019: solve my life puzzle and lifelog moment retrieval. CLEF2019 Working Notes
- Morin, Géraldine; Riegler, Michael (2019). An interview with Géraldine Morin
- Smeaton, Alan; Riegler, Michael; Jia, Jia (2019). Report from the SIGMM Emerging Leaders Symposium 2018
- Henriksen, Fredrik; Jensen, Rune; Stensland, Håkon; Johansen, Dag; Riegler, Michael; Halvorsen, Pål (2019). Performance of Data Enhancements and Training Optimization for Neural Network – A Polyp Detection Case Study. IEEE CBMS International Symposium on Computer-Based Medical Systems (CBMS)
- Lux, Mathias; Halvorsen, Pål; Dang-Nguyen, Duc-Tien; Stensland, Håkon; Riegler, Michael (2019). Summarizing E-Sports Matches and Tournaments: The Example of Counter-Strike: Global Offensive. International Workshop on Immersive Mixed and Virtual Environment Systems (MMVE)
- Kousias, Konstantinos; Alay, Özgü; Argyriou, Antonios; Riegler, Michael (2019). Estimating Downlink Throughput from End-User Measurements in Mobile Broadband Networks. IEEE World of Wireless, Mobile and Multimedia Networks (WoWMoM)
- Smedsrud, Pia; Riegler, Michael; Lange, Thomas de; Petlund, Andreas; Eskeland, Sigrun; Halvorsen, Pål (2019). Kunstig intelligens for endoskopi – Automatisk deteksjon av lesjoner i sanntid
- Wiik, Theodor; Johansen, Håvard D.; Pettersen, Svein Arne; Baptista, Ivan; Kupka, Tomas; Johansen, Dag; Riegler, Michael; Halvorsen, Pål (2019). Predicting Peek Readiness-to-Train of Soccer Players Using Long Short-Term Memory Recurrent Neural Networks. CBMI 2019: International Conference on Content-Based Multimedia Indexing
- Riegler, Michael; Lange, Thomas de; Smedsrud, Pia H; Halvorsen, Pål (2019). Maskinlæringssystemer for gastrointestinale endoskopier. BestPractice nordic
- Piras, Luca; Caputo, Barbara; Dang-Nguyen, Duc-Tien; Riegler, Michael; Halvorsen, Pål (2019). Image retrieval evaluation in specific domains. Ferro, Nicola; Peters, Carol (Ed.). Information retrieval evaluation in a changing World : Lessons learned from 20 years of CLEF. Springer
- Jakobsen, Petter; Fasmer, Ole Bernt; Riegler, Michael; Garcia-Ceja, Enrique; Henriksen, Tone Elise Gjøtterud; Nordgreen, Tine; McInnis, Melvin; Tørresen, Jim; Ødegaard, Ketil Joachim (2019). Detecting and Predicting Mood Transitions in Bipolar Disorder - study protocol. The 21st Annual International Society for Bipolar Disorders Conference
- Jha, Debesh; Smedsrud, Pia; Riegler, Michael; Johansen, Dag; Lange, Thomas de; Halvorsen, Pål; Johansen, Håvard D. (2019). ResUNet++: An Advanced Architecture for Medical Image Segmentation. 21st IEEE International Symposium on Multimedia
- Borgli, Rune Johan; Pogorelov, Konstantin; Riegler, Michael; Markussen, Jonas Sæther; Stensland, Håkon Kvale; Halvorsen, Pål; Griwodz, Carsten; Eskeland, Sigrun Losada; Lange, Thomas de (2019). Efficient Processing of Medical Videos in a Multi-auditory Environment Using Gpu Lending. Nvidia GPU Technology Conference 2019
- Smedsrud, Pia H; Riegler, Michael; Lange, Thomas de; Petlund, Andreas; Eskeland, Sigrun Losada; Halvorsen, Pål (2019). Kunstig intelligens for endoskopi - Automatisk deteksjon av lesjoner i sanntid. NGF-nytt. Vol. 26
- Berstad, Tor; Riegler, Michael; Espeland, Håvard; Lange, Thomas de; Smedsrud, Pia; Pogorelov, Konstantin; Stensland, Håkon; Halvorsen, Pål (2018). Tradeoffs using Binary and Multiclass Neural Network Classification for Medical Multidisease Detection. 2018 IEEE International Symposium on Multimedia (ISM)
- Riegler, Michael; Halvorsen, Pål; Münzer, Bernd (2018). The Importance of Medical Multimedia. 2018 ACM Multimedia Conference (MM '18)
- Dang-Nguyen, Duc-Tien; Piras, Luca; Riegler, Michael; Gurrin, Cathal; Cappellato, Linda (2018). Overview of ImageCLEFlifelog 2018: daily living understanding and lifelog moment retrieval. Working Notes of CLEF 2018 - Conference and Labs of the Evaluation Forum
- Aizawa, Kiyoharu; Dang-Nguyen, Duc-Tien; Riegler, Michael; Zhou, Liting; Gurrin, Cathal (2018). Challenges and Opportunities within Personal Life Archives. Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval
- Said, Naina; Pogorelov, Konstantin; Riegler, Michael; Halvorsen, Pål (2018). Deep learning approaches for flood classification and flood aftermath detection. Working Notes Proceedings of the MediaEval 2018 Workshop
- Borgli, Rune; Borgli, Hanna; Halvorsen, Pål; Riegler, Michael; Stensland, Håkon (2018). Automatic Hyperparameter Optimization in Keras for the MediaEval 2018 Medico Multimedia Task. Working Notes Proceedings of the MediaEval 2018 Workshop
- Kousias, Konstantinos; Riegler, Michael; Alay, Özgü; Argyriou, Antonios (2018). HINDSIGHT: An R-Based Framework Towards Long Short Term Memory (LSTM) Optimization. Multimedia Systems Conference (MMSys)
- Pogorelov, Konstantin; Albisser, Zeno; Ostroukhova, Olga; Johansen, Dag; Halvorsen, Pål; Riegler, Michael (2018). OpenSea - Open Search Based Classification Tool. Proceedings of the 9th ACM Multimedia Systems Conference
- Hicks, Steven; Pogorelov, Konstantin; Lux, Mathias; Randel, Kristin; Lange, Thomas de; Eskeland, Sigrun; Halvorsen, Pål; Riegler, Michael (2018). Comprehensible Reasoning and Automated Reporting of Medical Examinations Based on Deep Learning Analysis. Proceedings of the 9th ACM Multimedia Systems Conference
- Pogorelov, Konstantin; Ostroukhova, Olga; Petlund, Andreas; Halvorsen, Pål; Espeland, Håvard; Kupka, Tomas; Lange, Thomas de; Griwodz, Carsten; Riegler, Michael (2018). Automatic Detection of Angiectasia: Evaluation of Deep Learning and Handcrafted Approaches. IEEE Conference on Biomedical and Health Informatics (BHI) 2018
- Lange, Thomas de; Halvorsen, Pål; Riegler, Michael (2018). Methodology to develop machine learning algorithms to improve performance in gastrointestinal endoscopy. World Journal of Gastroenterology (WJG). Vol. 24. p. 5057-5062
- Pogorelov, Konstantin; Ostroukhova, Olga; Jeppsson, Mattis; Espeland, Håvard; Griwodz, Carsten; Lange, Thomas de; Johansen, Dag; Riegler, Michael; Halvorsen, Pål (2018). Deep Learning and Hand-Crafted Feature Based Approaches for Polyp Detection in Medical Videos. 31st IEEE CBMS International Symposium on Computer-Based Medical Systems
- Hicks, Steven Alexander; Eskeland, Sigrun Losada; Lux, Mathias; Lange, Thomas de; Randel, Kristin Ranheim; Jeppsson, Mattis; Pogorelov, Konstantin; Halvorsen, Pål; Riegler, Michael (2018). Mimir: an automatic reporting and reasoning system for deep learning based analysis in the medical domain. 9th ACM Multimedia Systems Conference
- Hicks, Steven Alexander; Riegler, Michael; Pogorelov, Konstantin; Ånonsen, Kim Vidar; Lange, Thomas de; Johansen, Dag; Jeppsson, Mattis; Randel, Kristin Ranheim; Eskeland, Sigrun Losada; Halvorsen, Pål (2018). Dissecting Deep Neural Networksfor Better Medical Image Classification andClassification Understanding. 31st IEEE CBMS International Symposium on Computer-Based Medical Systems
- Pogorelov, Konstantin; Albisser, Zeno; Ostroukhova, Olga; Lux, Mathias; Johansen, Dag; Halvorsen, Pål; Riegler, Michael (2018). Opensea: Open Search Based Classification Tool. 9th ACM Multimedia Systems Conference
- Jha, Debesh; Thambawita, Vajira; Pogorelov, Konstantin; Riegler, Michael; Halvorsen, Pål; Johansen, Håvard D.; Johansen, Dag (2018). Automatic Disease Detection in Videos Recorded in the Gastrointestinal Tract. SATIS 2018: The 1st ACM SIGOPS Summer School on Advanced Topics in Systems
- Pogorelov, Konstantin; Ostroukhova, Olga; Petlund, Andreas; Halvorsen, Pål; Lange, Thomas de; Espeland, Håvard; Kupka, Tomas; Griwodz, Carsten; Riegler, Michael (2018). Deep Learning and Handcrafted Feature Based Approaches for Automatic Detection of Angiectasia. International Conference on Biomedical & Health Informatics (BHI), 2018 IEEE EMBS
- Ahmad, Kashif; Pogorelov, Konstantin; Riegler, Michael; Halvorsen, Pål; Ahmad, Kashif (2017). CNN and GAN Based Satellite and Social Media Data Fusion for Disaster Detection. MediaEval Benchmark 2017
- Riegler, Michael (2017). An interview with David Ayman Shamma
- Riegler, Michael; Engelbrecht, Herman (2017). Interview column: introduction
- Soleymani, Mohammad; Riegler, Michael; Halvorsen, Pål (2017). Multimodal Analysis of Image Search Intent - Intent Recognition in Image Search from User Behavior and Visual Content. ACM International Conference on Multimedia Retrieval
- Pogorelov, Konstantin; Ranheim, Kristin; Griwodz, Carsten; Lange, Thomas de; Eskeland, Sigrun; Johansen, Dag; Schmidt, Peter; Spampinato, Concetto; Dang-Nguyen, Duc-Tien; Riegler, Michael; Halvorsen, Pål (2017). Kvasir: A Multi-Class Image-Dataset for Computer Aided Gastrointestinal Disease Detection. ACM Multimedia Systems
- Ahmad, Kashif; Riegler, Michael; Dang-Nguyen, Duc-Tien; Halvorsen, Pål (2017). The JORD System - Linking sky and social multimedia data to Natural and Technological Disasters. ACM International Conference on Multimedia Retrieval
- Lux, Mathias; Riegler, Michael; Halvorsen, Pål (2017). LireSolr - A Visual Information Retrieval Server. ACM International Conference on Multimedia Retrieval
- Escalante, Hugo; Wan, Jun; Riegler, Michael (2017). IAPR Newsletter
- Dang-Nguyen, Duc-Tien; Dao, Minh-Son; Riegler, Michael; Gurrin, Cathal (2017). Smart Lifelogging: Recognizing Human Activities using PHASOR. Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods
- Ahmad, Kashif; Riegler, Michael; Pogorelov, Konstantin; Halvorsen, Pål (2017). JORD: A System for Collecting Information and Monitoring Natural Disasters by Linking Social Media with Satellite Imagery. Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing - CBMI '17
- Suman, Shipra; Pogorelov, Konstantin; Riegler, Michael (2017). Detection and Classification of Bleeding Region in WCE Images Using Color Feature. Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing
- Kousias, Konstantinos; Midoglu, Cise; Alay, Özgü; Lutu, Andra; Riegler, Michael (2017). The Same, Only Different: Contrasting Mobile Operator Behavior from CrowdSourced Dataset. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2017)
- Zhou, Liting; Riegler, Michael; Dang-Nguyen, Duc-Tien; Gurrin, Cathal (2017). Organizer Team at ImageCLEFlifelog 2017: Baseline Approaches for Lifelog Retrieval and Summarization. CLEF 2017
- Dang-Nguyen, Duc-Tien; Riegler, Michael; Gurrin, Cathal (2017). Overview of ImageCLEFlifelog 2017: Lifelog Retrieval and Summarization. CLEF 2017
- Pogorelov, Konstantin; Eskeland, Sigrun Losada; Lange, Thomas de; Griwodz, Carsten; Randel, Kristin Ranheim; Stensland, Håkon Kvale; Dang-Nguyen, Duc-Tien; Spampinato, Concetto; Johansen, Dag; Riegler, Michael; Halvorsen, Pål (2017). A Holistic Multimedia System for Gastrointestinal Tract Disease Detection. ACM Multimedia Systems 2017 - MMSYS2017
- Pogorelov, Konstantin; Randel, Kristin Ranheim; Lange, Thomas de; Eskeland, Sigrun Losada; Griwodz, Carsten; Johansen, Dag; Spampinato, Concetto; Taschwer, Mario; Lux, Mathias; Schmidt, Peter Thelin; Riegler, Michael; Halvorsen, Pål (2017). Nerthus: A Bowel Preparation Quality Video Dataset. ACM Multimedia Systems 2017 - MMSYS2017
- Eskeland, Sigrun Losada; Aabakken, Lars; Riegler, Michael; Schmidt, Peter Thelin; Johansen, Dag; Halvorsen, Pål; Lange, Thomas de (2017). EIR: Changing the scene of automatic detection software for gastrointestinal endoscopy. ENDO 2017 World Congress of GI Endoscopy
- Pogorelov, Konstantin; Randel, Kristin Ranheim; Griwodz, Carsten; Eskeland, Sigrun Losada; Lange, Thomas de; Johansen, Dag; Spampinato, Concetto; Dang-Nguyen, Duc-Tien; Lux, Mathias; Schmidt, Peter Thelin; Riegler, Michael; Halvorsen, Pål (2017). KVASIR: A Multi-Class Image Dataset for Computer Aided Gastrointestinal Disease Detection. ACM Multimedia Systems 2017 - MMSYS2017
- Dang-Nguyen, Duc-Tien; Piras, Luca; Riegler, Michael; Gurrin, Cathal; Halvorsen, Pål (2016). ImageCLEF 2017 LifeLog task. Challenges in Machine Learning: Gaming and Education (CiML - NIPS 2016 workshop)
- Gravier, Guillaume; Riegler, Michael (2016). Proceedings of the MediaEval 2016 Multimedia Benchmark Workshop. Multimedia Benchmark Workshop 2016
- Redi, Judith; Riegler, Michael (2016). An interview with Judith Redi
- Skarseth, Kristian; Bjørlo, Henrik; Halvorsen, Pål; Riegler, Michael; Griwodz, Carsten (2016). OpenVQ - A Video Quality Assessment Toolkit. ACM Multimedia
- Riegler, Michael; Gaddam, Vamsidhar; Halvorsen, Pål; Griwodz, Carsten (2016). Crowdsourcing as Self Fulfilling Prophecy: Influence of Discarding Workers in Subjective Assessment Tasks. International Workshop on Content-based Multimedia Indexing
- Pogorelov, Konstantin; Riegler, Michael; Markussen, Jonas; Stensland, Håkon; Halvorsen, Pål; Griwodz, Carsten; Eskeland, Sigrun; Lange, Thomas de (2016). Efficient Processing of Videos in a Multi Auditory Environment Using Device Lending of GPUs. The 7th International Conference on Multimedia Systems (MMSys)
- Riegler, Michael (2016). An interview with Wallapak Tavanapong
- Riegler, Michael (2016). An interview with Klara Nahrstedt
- Escalante, Hugo Jair; Ponce-Lopez, Victor; Wan, Jun; Riegler, Michael; Chen, Baiyu; Clapes, Albert; Escalera, Sergio; Guyon, Isabelle; Baro, Xavier; Halvorsen, Pål; Müller, Henning; Larson, Martha (2016). ChaLearn Joint Contest on Multimedia Challenges Beyond Visual Analysis: An overview. 23RD INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION
- Winther, Bård; Riegler, Michael; Calvet, Lilian; Griwodz, Carsten; Halvorsen, Pål (2016). Why Design Matters - Crowdsourcing of Complex Tasks. ACM International Workshop on Crowdsourcing for Multimedia (CrowdMM)
- Riegler, Michael; Lux, Mathias; Griwodz, Carsten; SPAMPINATO, CONCETTO; Lange, Thomas de; Eskeland, Sigrun Losada; Pogorelov, Konstantin; Tavanapong, Wallapak; Schmidt, Peter T; Gurrin, Cathal Gerard; Johansen, Dag; Johansen, Håvard D.; Halvorsen, Pål (2016). Multimedia and Medicine: Teammates for Better Disease Detection and Survival. ACM Multimedia Conference - MM16
- Pogorelov, Konstantin; Riegler, Michael; Halvorsen, Pål; Griwodz, Carsten (2016). Simula @ MediaEval 2016 context of experience task. CEUR Workshop Proceedings. Vol. 1739
- Riegler, Michael; Spampinato, Concetto; Larson, Martha; Halvorsen, Pål; Griwodz, Carsten (2016). The MediaEval 2016 context of experience task: Recommending videos suiting a watching situation. CEUR Workshop Proceedings. Vol. 1739
- Riegler, Michael; SPAMPINATO, CONCETTO; Larson, Martha; Griwodz, Carsten; Halvorsen, Pål (2016). The MediaEval 2016 Context of Experience Task: Recommending Videos Suiting a Watching Situation. MediaEval 2016
- Pogorelov, Konstantin; Riegler, Michael; Halvorsen, Pål; Griwodz, Carsten (2016). Simula @ MediaEval 2016 Context of Experience Task. MediaEval 2016
- Zaharieva, Maia; Riegler, Michael (2015). Media Synchronization and Sub-Event Detection in Multi-User Image Collections. ACM HuEvent
- Winther, Bård; Riegler, Michael; Calvet, Lilian; Griwodz, Carsten; Halvorsen, Pål (2015). Why Design Matters - Crowdsourcing of Complex Tasks. ACM CrowdMM
- Larson, Martha; Riegler, Michael (2015). Proceedings of the MediaEval 2015 Multimedia Benchmark Workshop. Multimedia Benchmark Workshop, 2015
- Boididou, Christina; Dang-Nguyen, Duc-Tien; Riegler, Michael (2015). Verifying Multimedia Use at MediaEval 2015. MediaEval Benchmarking Initiative for Multimedia Evaluation
- Machnik, Marek; Riegler, Michael; Sen, Sagar (2015). Crowdpinion: Motivating people to share their momentary opinion. Second International Workshop on Gamification for Information Retrieval (GamifIR’15). Vienna, Austria, March 29 - April 2
- Riegler, Michael; Calvet, Lilian; Calvet, Amandine; Halvorsen, Pål; Griwodz, Carsten (2015). Exploitation of Producer Intent in Relation to Bandwidth and QoE for Online Video Streaming Services. ACM Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV)
- Riegler, Michael; Eg, Ragnhild; Calvet, Lilian; Halvorsen, Pål; Griwodz, Carsten (2015). Playing Around the Eye Tracker - A Serious Game Based Dataset. International Workshop on Gamification for Information Retrieval (GamifIR) - CEUR Workshop Proceedings
- Albisser, Zeno; Riegler, Michael; Halvorsen, Pål; Zhou, Jiang; Griwodz, Carsten; Balasingham, Ilangko; Gurrin, Cathal (2015). Expert Driven Semi-Supervised Elucidation Tool for Medical Endoscopic Videos. ACM Multimedia Systems Conference (MMSys)
- Riegler, Michael; Larson, Martha; SPAMPINATO, CONCETTO; Markussen, Jonas; Halvorsen, Pål; Griwodz, Carsten (2015). Introduction to a Task on Context of Experience: Recommending Videos Suiting a Watching Situation. MediaEval Benchmarking Initiative for Multimedia Evaluation
- Riegler, Michael; Olsen, Preben; Halvorsen, Pål (2014). Work Like a Bee -Taking Advantage of Diligent Crowdsourcing Workers. MediaEval 2014 Workshop, Barcelona, Catalunya, Spain
- Loni, Babak; Riegler, Michael (2014). Fashion 10000: An Enriched Social Image Dataset for Fashion and Clothing. MMSys '14: Proceedings of the 5th ACM Multimedia Systems Conference
- Riegler, Michael; Lux, Mathias (2014). VideoJot: A Multifunctional Video Annotation Tool. ICMR '14: Proceedings of International Conference on Multimedia Retrieval
- Lux, Mathias; Riegler, Michael (2014). PictureSort: Gamification of Image Ranking. GamifIR '14: Proceedings of the First International Workshop on Gamification for Information Retrieval
- Riegler, Michael; Olsen, Preben Nenseth; Halvorsen, Pål (2014). Work Like a Bee-Taking Advantage of Diligent Crowdsourcing Workers. MediaEval
- Conotter, Valentina; Dang-Nguyen, Duc-Tien; Riegler, Michael; Boato, Giulia; Larson, Martha (2014). A Crowdsourced Data Set of Edited Images Online. CrowdMM
- Loni, Babak; Hare, Jonathon; Georgescu, Mihai; Riegler, Michael; Zhu, Xiaofei; Morchid, Mohamed; Dufour, Richard; Larson, Martha (2014). Getting by with a Little Help from the Crowd: Practical Approaches to Social Image Labeling. CrowdMM
- Guggenberger, Mario; Riegler, Michael; Lux, Mathias; Halvorsen, Pål (2014). Event Understanding in Endoscopic Surgery Videos. HuEvent
- Riegler, Michael; Eg, Ragnhild; Lux, Mathias; Schicho, Markus (2014). Mobile Picture Guess: A Crowdsourced Serious Game for Simulating Human Perception. SoHuman
- Zaharieva, Maia; Riegler, Michael; Fabro, Manfred Del (2014). Multimodal Synchronization of Image Galleries. MediaEval
- Li, Xinchao; Riegler, Michael (2013). Exploration of Feature Combination in Geo-visual Ranking for Visual Content-based Location Prediction.. MediaEval 2013 Workshop, Barcelona, Spain
- Riegler, Michael; Lux, Mathias (2013). Frame the Crowd: Global Visual Features Labeling boosted with Crowdsourcing Information. MediaEval 2013 Workshop, Barcelona, Spain
- Lux, Mathias; Riegler, Michael (2013). Annotation of endoscopic videos on mobile devices: a bottom-up approach. MMSys '13: Proceedings of the 4th ACM Multimedia Systems Conference
These publications are obtained from Norwegian Research Information Repository. The list may be incomplete.