English version
Michael Alexander Riegler

Michael Alexander Riegler

Forskningsprosjekter

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.





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