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2021
D. Jha, S. Ali, K. Emanuelsen, S. Hicks, V. Thambawita, E. Garcia-Ceja, M. Riegler, T. de Lange, P. T. Schmidt, H. D. Johansen et al. Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy In 27th International Conference on Multimedia Modeling. Vol. LNCS, volume 12573. Springer, 2021.PDF icon mmm.pdf (648.64 KB)
C. Midoglu, K. Kousias, Ö. Alay, A. Lutu, A. Argyriou, M. Riegler and C. Griwodz. "Large scale “speedtest” experimentation in Mobile Broadband Networks." Computer Networks 184, no. 31 (2021): 107629.
S. Hicks, D. Jha, V. Thambawita, P. Halvorsen, B. Singstad, S. Gaur, K. Pettersen, M. Goodwin, S. Parasa, T. de Lange et al. "MedAI: Transparency in Medical Image Segmentation." Nordic Machine Intelligence 1, no. 1 (2021): 1-4.
S. Hicks, D. Jha, V. Thambawita, H. L. Hammer, T. de Lange, S. Parasa, M. Riegler and P. Halvorsen. Medico Multimedia Task at MediaEval 2021: Transparency in Medical Image Segmentation In Mediaeval Medico 2021. Mediaeval 2021, 2021.
S. Aneja, C. Midoglu, D. Dang-Nguyen, M. Riegler, P. Halvorsen, M. Niessner, B. Adsumilli and C. Bregler. MMSys'21 Grand Challenge on Detecting Cheapfakes. arXiv, 2021.
G. A. Baugerud, M. S. Johnson, R. K. Røed, M. E. Lamb, M. Powell, V. Thambawita, S. Hicks, P. Salehi, S. Z. Hassan, P. Halvorsen et al. Multimodal Virtual Avatars for Investigative Interviews with Children In Proceedings of the 2021 Workshop on Intelligent Cross-Data Analysis and Retrieval (ICDAR '21), Edited by M. Dao, D. Dang-Nguyen and M. Riegler. New York, NY, USA: ACM, 2021.
G. A. Baugerud, M. S. Johnson, R. K. Røed, M. E. Lamb, M. Powell, V. Thambawita, S. Hicks, P. Salehi, S. Z. Hassan, P. Halvorsen et al. Multimodal Virtual Avatars for Investigative Interviews with Children In Proceedings of the 2021 Workshop on Intelligent Cross-Data Analysis and Retrieval (ICDAR '21), Edited by M. Dao, D. Dang-Nguyen and M. Riegler. New York, NY, USA: ACM, 2021.
D. Jha, N. K. Tomar, S. Ali, M. Riegler, H. D. Johansen, D. Johansen, T. de Lange and P. Halvorsen. NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy In 34th IEEE CBMS International Symposium on Computer-Based Medical Systems. IEEE, 2021.PDF icon 412100a037.pdf (789.29 KB)
M. Riegler, D. Johansen, B. A. Juliussen, T. S. Nordmo, A. B. Ovesen, P. Halvorsen, H. D. Johansen and J. P. Rui. Njord: An out-in-the-wild real world fish vessel catch analysis dataset In Arctic Frontiers. Tromsø, Norway: Arctic Frontiers, 2021.PDF icon arctic-frontiers-science-2022-abstracts_179.pdf (113.93 KB)
A. Srivastava, S. Chanda, D. Jha, M. Riegler, P. Halvorsen, D. Johansen and U. Pal. PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentation In Proc. of 2021 4th International Conference on Bio-Engineering for Smart Technologies (BioSMART). Paris / Créteil, France: IEEE, 2021.
A. H. M. Ahmed, S. Hicks, M. Riegler and A. Elmokashfi. "Predicting High Delays in Mobile Broadband Networks." IEEE Access 9 (2021): 168999-169013.
H. Svennevik, M. Riegler, S. Hicks, T. Storelvmo and H. L. Hammer. "Prediction of Cloud Fractional Cover Using Machine Learning." Big Data and Cognitive Computing 5, no. 4 (2021): 62.
D. Jha, S. Ali, N. K. Tomar, H. D. Johansen, D. Johansen, J. Rittscher, M. Riegler and P. Halvorsen. "Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning." IEEE Access 9 (2021): 40496-40510.PDF icon 09369308.pdf (2.6 MB)
D. Johansen, B. A. Juliussen, T. S. Nordmo, A. B. Ovesen, P. Halvorsen, H. D. Johansen, M. Riegler and J. P. Rui. Sustainable Commercial Fishing: Digital Inspectors to the Rescue In Arctic Frontiers. Arctic Frontiers, 2021.PDF icon arcticfrontiers2.pdf (118.89 KB)
S. S. Eide, M. Riegler, H. L. Hammer and J. B. Bremnes. Temperature Forecasting using Tower Networks In Proceedings of the 2021 Workshop on Intelligent Cross-Data Analysis and Retrieval, Edited by M. Dao, D. Dang-Nguyen and M. Riegler. New York, NY, USA: Association for Computing Machinery, 2021.
S. S. Eide, M. Riegler, H. L. Hammer and J. B. Bremnes. Temperature Forecasting using Tower Networks In Proceedings of the 2021 Workshop on Intelligent Cross-Data Analysis and Retrieval, Edited by M. Dao, D. Dang-Nguyen and M. Riegler. New York, NY, USA: Association for Computing Machinery, 2021.
A. Sharma, T. Haugen, H. L. Hammer, M. Riegler and M. Stensen. "Towards better explainable deep learning models for embryo selection in ART." Human Reproduction 36, no. Supplement_1 (2021).
N. P. TzavaraTzavara and B. Singstad. Transfer Learning in Polyp and Endoscopic Tool Segmentation from Colonoscopy Images In Nordic Machine Intelligence, Edited by M. Riegler, S. Hicks, P. Halvorsen and V. Thambawita. Vol. 1. Nordic Machine Intelligence, 2021.
A. Kolevatova, M. Riegler, F. Cherubini, X. Hu and H. L. Hammer. "Unraveling the Impact of Land Cover Changes on Climate using Machine Learning and Explainable Artificial Intelligence." Big Data and Cognitive Computing 5 (2021): 55.
O. A. N. Rongved, S. Hicks, V. Thambawita, H. K. Stensland, E. Zouganeli, D. Johansen, C. Midoglu, M. Riegler and P. Halvorsen. "Using 3D Convolutional Neural Networks for Real-time Detection of Soccer Events." International Journal of Semantic Computing 15, no. 2 (2021): 161-187.
S. Z. Hassan, K. Ahmad, M. Riegler, S. Hicks, N. Conci, P. Halvorsen and A. Al-Fuqaha. Visual Sentiment Analysis: A Natural Disaster Use-case Task at MediaEval 2021 In MediaEval 2021. Ceurws, 2021.

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