Michael Alexander Riegler

Vitenskapelige publikasjoner

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.
https://doi.org/10.3390/s23042087

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 (Red.). MultiMedia Modeling. Springer.
https://doi.org/10.1007/978-3-031-27077-2_39

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 (Red.). 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.
https://doi.org/10.1007/978-3-031-17030-0_9

Thunold, Håvard Horgen; Riegler, Michael; Yazidi, Anis; Hammer, Hugo Lewi (2023). A Deep Diagnostic Framework Using Explainable Artificial Intelligence and Clustering. Diagnostics (Basel).

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. 21 s. Big Data and Cognitive Computing. Vol. 7.
https://doi.org/10.3390/bdcc7020091

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 (Red.). Health Promotion - Principles and Approaches. IntechOpen.
https://doi.org/10.5772/intechopen.111866

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.
https://doi.org/10.1186/s12913-023-10047-z

Dang Nguyen, Duc Tien; Khan, Sohail Ahmed; Midoglu, Cise; Riegler, Michael; Halvorsen, Pål; Dao, Minh-Son (2023). Grand Challenge On Detecting Cheapfakes. ISBN: 979-8-3503-1315-4. 5 s. IEEE conference proceedings.

Habault, Guillaume; Dao, Minh-Son; Riegler, Michael; Dang Nguyen, Duc Tien; Nakashima, Yuta; Gurrin, Cathal (2023). ICDAR’23: Proceedings of the 4th ACM Workshop on Intelligent Cross-Data Analysis and Retrieval. ISBN: 979-8-4007-0178-8. 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 (Red.). MultiMedia Modeling. s. 553-564. Springer.

Forskningsrapporter

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 s. MediaEval 2018, arXiv:1810.13278, Cornell University.

Dang Nguyen, Duc Tien; Riegler, Michael (2018). GameStory Task at MediaEval 2018. 3 s. CEUR Workshop Proceedings.

Formidling

Riegler, Michael; Lison, Pierre; Falkum, Ingrid Lossius (2023). Kunstig intelligens-modeller er ikke miniatyr­versjoner av den menneskelige hjernen. Forskersonen.no.

Sareen, Siddharth; Riegler, Michael; Reinertsen, Hilde (2023). Hvordan vil kunstig intelligens forme verden de neste ti årene?.
https://www.morgenbladet.no/aktuelt/2023/01/26/hvo...

Habault, Guillaume; Dao, Minh-Son; Riegler, Michael; Dang Nguyen, Duc Tien; Nakashima, Yuta; Gurrin, Cathal (2023). ICDAR’23: Intelligent Cross-Data Analysis and Retrieval. Habault, Guillaume; Dao, Minh-Son; Riegler, Michael; Dang Nguyen, Duc Tien; Nakashima, Yuta; Gurrin, Cathal (Red.). ICDAR’23: Proceedings of the 4th ACM Workshop on Intelligent Cross-Data Analysis and Retrieval. s. 674-675. Association for Computing Machinery (ACM).
https://doi.org/https://doi.org/10.1145/3591106.35...

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.
https://doi.org/10.1038/s41598-023-30029-9

Riegler, Michael Alexander; Thambawita, Vajira; Nguyen, Thu; Hicks, Steven Alexander; Pettersen, Svein Arne; Johansen, Dag; Jain, Ramesh; Halvorsen, Pål (2023). ScopeSense: An 8.5-month sport, nutrition, and lifestyle lifelogging dataset. OSF Preprints.
https://doi.org/10.31219/osf.io/8z5gc

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.
https://doi.org/10.3390/a16010030

Goodwin, Morten; Pettersen, Klas Henning; Riegler, Michael (2022). Episode 7 - Michael Riegler explains Artificial Intelligence.

Nordmo, Tor-Arne Schmidt; Kvalsvik, Ove; Kvalsund, Svein Ove; Hansen, Birte; Halvorsen, Pål; Hicks, Steven; Johansen, Dag; Dagenborg, Håvard; Riegler, Michael Alexander (2022). FishAI: Sustainable Commercial Fishing Challenge. 3 s. Nordic Machine Intelligence (NMI).
https://doi.org/10.5617/nmi.9657

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. Aftenposten (morgenutg. : trykt utg.).