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2019
S. Hicks, J. M. Andersen, O. Witczak, V. Thambawita, P. Halvorsen, H. L. Hammer, T. B. Haugen and M. Riegler. "Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction." Nature Scientific Reports 9, no. 1 (2019).
M. Riegler, P. H. Smedsrud, T. de Lange and P. Halvorsen. "Maskinlæringssystemer for gastrointestinale endoskopier." Best Practice Nordic - Gastroenterologi (2019).PDF icon best.pdf (163.12 KB)
P. Halvorsen, M. Riegler and K. Schoeffmann. Medical Multimedia Systems and Applications In Proceedings of the 27th ACM International Conference on Multimedia - MM '19, Edited by L. Amsaleg, B. Huet, M. Larson, G. Gravier, H. Hung, C. Ngo and W. T. Ooi. New York, NY, USA: ACM Press, 2019.PDF icon p2711-halvorsen.pdf (768.36 KB)
S. Hicks, P. Halvorsen, T. B. Haugen, J. M. Andersen, O. Witczak, K. Pogorelov, H. L. Hammer, D. Dang-Nguyen, M. Lux and M. Riegler. Medico Multimedia Task at MediaEval 2019 In MediaEval. CEUR Workshop Proceedings, 2019.
K. Ahmad, K. Pogorelov, M. Ullah, M. Riegler, N. Conci, J. Langguth and A. Al-Fuqaha. Multi-Modal Machine Learning for Flood Detection in News, Social Media and Satellite Sequences In Multimediaeval Benchmark 2019. CEUR Workshop Proceedings, 2019.
N. Said, K. Ahmad, M. Riegler, K. Pogorelov, L. Hassan, N. Ahmad and N. Conci. "Natural disasters detection in social media and satellite imagery: a survey." Multimedia Tools and Applications 78, no. 22 (2019): 31267-31302.
J. I. Frogner, F. M. Noori, P. Halvorsen, S. Hicks, E. Garcia-Ceja, J. Torresen and M. Riegler. One-Dimensional Convolutional Neural Networks on Motor Activity Measurements in Detection of Depression In Proceedings of the 4th International Workshop on Multimedia for Personal Health & Health Care - HealthMedia '19, Edited by S. Boll, J. Lee, J. Meyer, N. Nag and N. E. O'Connor. New York, NY, USA: ACM Press, 2019.PDF icon p9-frogner.pdf (2.06 MB)
D. Dang-Nguyen, L. Piras, M. Riegler, M. Tran, L. Zhou, M. Lux, T. Le, V. Ninh and C. Gurrin. Overview of ImageCLEFlifelog 2019: solve my life puzzle and lifelog moment retrieval In CLEF2019 Working Notes. Vol. 2380. CEUR Workshop Proceedings (CEUR-WS.org), 2019.
F. L. Henriksen, R. Jensen, H. K. Stensland, D. Johansen, M. Riegler and P. Halvorsen. Performance of Data Enhancements and Training Optimization for Neural Network – A Polyp Detection Case Study In IEEE CBMS International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 2019.PDF icon cbms2019.pdf (5.12 MB)
T. Wiik, H. D. Johansen, S. A. Pettersen, I. Baptista, T. Kupka, D. Johansen, M. Riegler and P. Halvorsen. Predicting Peek Readiness-to-Train of Soccer Players Using Long Short-Term Memory Recurrent Neural Networks In 2019 International Conference on Content-Based Multimedia Indexing (CBMI). IEEE, 2019.PDF icon cbmi2019-pmsys.pdf (1.88 MB)
S. Hicks, P. Halvorsen, T. B. Haugen, J. M. Andersen, O. Witczak, K. Pogorelov, H. L. Hammer, D. Dang-Nguyen, M. Lux and M. Riegler. Predicting Sperm Motility and Morphology using Deep Learning and Handcrafted Features In MediaEval. ceur ws org, 2019.
K. Andreassen, D. Johansen, H. Johansen, I. Baptista, S. A. Pettersen, M. Riegler and P. Halvorsen. Real-time Analysis of Physical Performance Parameters in Elite Soccer In 2019 International Conference on Content-Based Multimedia Indexing (CBMI). IEEE, 2019.PDF icon cbmi2019-metrix.pdf (489.5 KB)
A. Smeaton, H. Zhang, M. Riegler, J. Jia and L. Nie. Report from the SIGMM Emerging Leaders Symposium 2018 In ACM SIGMultimedia Records. Vol. 10. ACM, 2019.
D. Jha, P. H. Smedsrud, M. Riegler, D. Johansen, T. de Lange, P. Halvorsen and H. D. Johansen. ResUNet++: An Advanced Architecture for Medical Image Segmentation In 2019 IEEE International Symposium on Multimedia (ISM). San Diego, California, USA: IEEE, 2019.PDF icon resunet_accepted_debesh.pdf (1.01 MB)
H. Borgli, H. K. Stensland, P. Halvorsen and M. Riegler. Saga: An Open Source Platform for Training Machine Learning Models and Community-driven Sharing of Techniques In International Conference on Content-Based Multimedia Indexing (CBMI 2019). IEEE, 2019.PDF icon cbmi_2019.pdf (362.41 KB)
A. Nordskog, P. Halvorsen, S. Hicks, H. K. Stensland, H. L. Hammer, D. Johansen and M. Riegler. Semantic Analysis of Soccer News for Automatic Game Event Classification In 2019 International Conference on Content-Based Multimedia Indexing (CBMI). IEEE, 2019.PDF icon cbmi_2019_aanund_football_news.pdf (734.15 KB)
K. Ahmad, K. Pogorelov, M. Riegler, N. Conci and P. Halvorsen. "Social media and satellites: Disaster event detection, linking and summarization." Multimedia Tools and Applications 78 (2019): 2837-2875.
V. Thambawita, P. Halvorsen, H. L. Hammer, M. Riegler and T. B. Haugen. Stacked dense optical flows and dropout layers to predict sperm motility and morphology In MediaEval 2019, 27-29 October 2019, Sophia Antipolis, France., 2019.PDF icon medico_2019_vajira_1.pdf (1.43 MB)
M. Lux, P. Halvorsen, D. Dang-Nguyen, H. K. Stensland, M. Kesavulu, M. Potthast and M. Riegler. Summarizing E-Sports Matches and Tournaments: The Example of Counter-Strike: Global Offensive In International Workshop on Immersive Mixed and Virtual Environment Systems (MMVE). ACM, 2019.PDF icon mmve_19_csgo.pdf (3.07 MB)
H. L. Hammer, M. Riegler, L. Øvrelid and E. Velldal. THREAT: A Large Annotated Corpus for Detection of Violent Threats In 2019 International Conference on Content-Based Multimedia Indexing (CBMI), Edited by C. Gurrin. IEEE, 2019.PDF icon cbmi2019_youtube_threat_corpus.pdf (124.54 KB)
M. Kirkerød, R. Borgli, V. Thambawita, S. Hicks and M. Riegler. Unsupervised Preprocessing to Improve Generalisation for Medical Image Classification In IEEE 13th International Symposium on Medical Information and Communication Technology (ISMICT). IEEE, 2019.
E. Garcia-Ceja, M. Riegler, A. K. Kvernberg and J. Torresen. "User-adaptive models for activity and emotion recognition using deep transfer learning and data augmentation." User Modeling and User-Adapted Interaction (2019): 1-29.
J. Rosenblad, S. Hicks, H. K. Stensland, T. B. Haugen, P. Halvorsen and M. Riegler. Using 2D and 3D Convolutional Neural Networks to Predict Semen Quality In MediaEval. CEUR Workshop Proceedings, 2019.
S. Hicks, T. B. Haugen, P. Halvorsen and M. Riegler. Using Deep Learning to Predict Motility and Morphology of Human Sperm In MediaEval 2019. CEUR Workshop Proceedings, 2019.
K. Bahirat, Y. Chung, T. Annaswamy, G. Raval, K. Desai, B. Prabhakaran and M. Riegler. Using Mr. MAPP for Lower Limb Phantom Pain Management In Proceedings of the 27th ACM International Conference on Multimedia. ACM, 2019.

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