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2022
A. Reinke, M. D. Tizabi, C. H. Sudre, M. Eisenmann, T. Rädsch, M. Baumgartner, L. Acion, M. Antonelli, T. Arbel, S. Bakas et al. Common Limitations of Image Processing Metrics: A Picture Story. arXiv, 2022.PDF icon 2104.05642.pdf (22.11 MB)
S. Z. Hassan, S. S. Sabet, P. Salehi, H. Ko, I. Riiser, M. S. Johnson, G. A. Baugerud, M. Riegler and P. Halvorsen. A Comparative Study of Interactive Environments for Investigative Interview of A Virtual Child Avatar In IEEE international symposium on multimedia (ISM). IEEE, 2022.
S. S. Sabet, C. Midoglu, S. Z. Hassan, P. Salehi, M. Riegler, C. Griwodz and P. Halvorsen. Comparison of Crowdsourced and Remote Subjective User Studies: A Case Study of Investigative Child Interviews In The 14th International Conference on Quality of Multimedia Experience. IEEE, 2022.
P. Jakobsen, A. Stautland, M. Riegler, U. Côté-Allard, Z. Sepasdar, T. Nordgreen, J. Torresen, O. B. Fasmer and K. J. Oedegaard. "Complexity and Variability Analyses of Motor Activity Distinguish Mood States in Bipolar Disorder." PLOS ONE 17 (2022): e0262232.
O. Lysne, I. Strümke and M. Riegler. Data samlet fra åpne kilder er ikke ufarlig. Kronikk: Aftenposten, 2022.
S. S. Eide, M. Riegler, H. L. Hammer and J. B. Bremnes. "Deep Tower Networks for Efficient Temperature Forecasting from Multiple Data Sources." Sensors 22, no. 7 (2022): 2802.
H. L. Hammer, A. Yazidi, M. Riegler and H. Rue. "Efficient quantile tracking using an oracle." Applied Intelligence 53 (2022): 289-300.
F. Jacobsen, S. Hicks, P. Halvorsen and M. Riegler. Estimating Predictive Uncertainty in Gastrointestinal Polyp Segmentation In 2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS). Shenzen, China: IEEE, 2022.
S. Hicks, I. Strümke, V. Thambawita, M. Hammou, M. Riegler, P. Halvorsen and S. Parasa. "On evaluation metrics for medical applications of artificial intelligence." Scientific Reports 12 (2022): 1-9.
C. Midoglu, A. Storås, S. S. Sabet, M. Hammou, S. Hicks, I. Strümke, M. Riegler, C. Griwodz and P. Halvorsen. Experiences and Lessons Learned from a Crowdsourced-Remote Hybrid User Survey Framework In 2022 IEEE International Symposium on Multimedia (ISM). Italy: IEEE, 2022.
A. Storås, I. Strümke, M. Riegler and P. Halvorsen. Explainability methods for machine learning systems for multimodal medical datasets: research proposal In ACM Multimedia Systems (MMSys) Conference. ACM, 2022.PDF icon mmsys2022_doctoralsymposiumandreastoraas.pdf (1.82 MB)
A. Storås, I. Strümke, M. Riegler and P. Halvorsen. Explainable Artificial Intelligence in Medicine In Nordic AI Meet 2022., 2022.
S. Kulakou, N. Ragab, C. Midoglu, M. Boeker, D. Johansen, M. Riegler and P. Halvorsen. "Exploration of Different Time Series Models for Soccer Athlete Performance Prediction." MDPI Engineering Proceedings 18, no. 1 (2022): 37.
N. K. Tomar, D. Jha, M. Riegler, H. D. Johansen, D. Johansen, J. Rittscher, P. Halvorsen and S. Ali. "FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation." IEEE Transactions on Neural Networks and Learning Systems (2022): 1-14.
T. S. Nordmo, O. Kvalsvik, S. O. Kvalsund, B. Hansen and M. Riegler. "Fish AI: Sustainable Commercial Fishing." Nordic Machine Intelligence 2 (2022): 1-3.
A. Husa, C. Midoglu, M. Hammou, P. Halvorsen and M. Riegler. HOST-ATS: Automatic Thumbnail Selection with Dashboard-Controlled ML Pipeline and Dynamic User Survey In Proceedings of the 13th ACM Multimedia Systems Conference (MMSys '22). ACM, 2022.
M. Hammou, C. Midoglu, S. Hicks, A. Storås, S. S. Sabet, I. Strümke, M. Riegler and P. Halvorsen. Huldra: A Framework for Collecting Crowdsourced Feedback on Multimedia Assets In Proceedings of the 13th ACM Multimedia Systems Conference (MMSys '22). ACM, 2022.
M. Lammerse, S. Z. Hassan, S. S. Sabet, M. Riegler and P. Halvorsen. Human vs. GPT-3: The challenges of extracting emotions from child responses In The 14th International Conference on Quality of Multimedia Experience. IEEE, 2022.
M. Dao, M. Riegler, D. Dang-Nguyen, C. Gurrin, Y. Nakashima and M. Dong. ICDAR’22: Intelligent Cross-Data Analysis and Retrieval In 2022 International Conference on Multimedia Retrieval. 2022, Newark, NJ, USA: ACM, 2022.PDF icon icmrwk036-dao1.pdf (323.01 KB)
G. A. Baugerud, M. Powell, M. Riegler, P. Halvorsen, M. E. Lamb, S. S. Sabet, S. Z. Hassan, P. Salehi, R. K. Røed and M. S. Johnson. Investigative Interviews using a Multimodal Virtual Avatar In American Psychology-Law Society Conference 2022. Denver USA,: American Psychology-Law Society, 2022.
A. Chatterjee, N. Pahari, M. Riegler and A. Prinz. LSTM Step Prediction and Ontology-Based Recommendation Generation in Activity eCoaching In 2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). Greece: IEEE, 2022.
A. Chatterjee, N. Pahari, A. Prinz and M. Riegler. "Machine learning and ontology in eCoaching for personalized activity level monitoring and recommendation generation." Scientific Reports 12, no. 1 (2022): 19825.
R. Khadka, D. Jha, S. Hicks, V. Thambawita, M. Riegler, S. Ali and P. Halvorsen. "Meta-learning with implicit gradients in a few-shot setting for medical image segmentation." Computers in Biology and Medicine 143 (2022): 105227.
A. Reinke, E. Christodoulou, B. Glocker, P. Scholz, F. Isensee, J. Kleesiek, M. Kozubek, M. Reyes, M. Riegler and M. M. Consortium. Metrics Reloaded - A new recommendation framework for biomedical image analysis validation In Medical Imaging with Deep Learning. MIDL 2022, 2022.
P. Salehi, S. Z. Hassan, S. S. Sabet, G. A. Baugerud, M. S. Johnson, P. Halvorsen and M. Riegler. Is More Realistic Better? A Comparison of Game Engine and GAN-based Avatars for Investigative Interviews of Children In ICDAR '22: Proceedings of the 3rd ACM Workshop on Intelligent Cross-Data Analysis and Retrieval, Edited by M. Dao, D. Dang-Nguyen and M. Riegler. New York, NY, USA: ACM, 2022.

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