Primary tabs

2018
K. Pogorelov, O. Ostroukhova, A. Petlund, P. Halvorsen, H. Espeland, T. Kupka, T. de Lange, C. Griwodz and M. Riegler. Automatic Detection of Angiectasia: Evaluation of Deep Learning and Handcrafted Approaches In IEEE Conference on Biomedical and Health Informatics (BHI) 2018., 2018.
R. Borgli, P. Halvorsen, M. Riegler and H. K. Stensland. Automatic Hyperparameter Optimization in Keras for the MediaEval 2018 Medico Multimedia Task In Working Notes Proceedings of the MediaEval 2018 Workshop. CEUR Workshop Proceedings (CEUR-WS.org), 2018.PDF icon rune_mediaeval_final.pdf (1.22 MB)
V. R. Gaddam, R. Langseth, H. K. Stensland, C. Griwodz, M. Riegler, T. Kupka, H. Espeland, D. Johansen, H. Johansen and P. Halvorsen. "Camera Synchronization for Panoramic Videos." In MediaSync, edited by M. M. e. al.. Springer, 2018.
D. Dang-Nguyen, M. Riegler, L. Zhou and C. Gurrin. Challenges and Opportunities within Personal Life Archives In Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, Edited by K. Aizawa, M. Lew and S. Satoh. New York, NY, USA: ACM Press, 2018.
S. Hicks, K. Pogorelov, M. Lux, M. Jeppsson, K. R. Randel, T. de Lange, S. L. Eskeland, P. Halvorsen and M. Riegler. Comprehensible Reasoning and Automated Reporting of Medical Examinations Based on Deep Learning Analysis In Proceedings of the 9th ACM Multimedia Systems Conference. Amsterdam, Netherlands: ACM, 2018.
K. Pogorelov, O. Ostroukhova, A. Petlund, P. Halvorsen, T. de Lange, H. Espeland, T. Kupka, C. Griwodz and M. Riegler. Deep Learning and Handcrafted Feature Based Approaches for Automatic Detection of Angiectasia In 2018 IEEE Conference on Biomedical and Health Informatics (BHI). IEEE, 2018.
K. Pogorelov, O. Ostroukhova, M. Jeppsson, H. Espeland, C. Griwodz, T. de Lange, D. Johansen, M. Riegler and P. Halvorsen. Deep Learning and Hand-crafted Feature Based Approaches for Polyp Detection in Medical Videos In 31st IEEE CBMS International Symposium on Computer-Based Medical Systems. Karlstad, Sweden: IEEE, 2018.PDF icon cbms_2018_paper_163_preprint.pdf (1.61 MB)
N. Said, K. Pogorelov, K. Ahmad, M. Riegler, N. Ahmad, O. Ostroukhova, P. Halvorsen and N. Conci. Deep learning approaches for flood classification and flood aftermath detection In Working Notes Proceedings of the MediaEval 2018 Workshop. Vol. 2283. Sophia Antipolis, France: CEUR-WS.org, 2018.PDF icon mediaeval_2018_satellite.pdf (365.65 KB)
S. Hicks, P. Smedsrud, P. Halvorsen and M. Riegler. Deep Learning Based Disease Detection Using Domain Specific Transfer Learning In MediaEval 2018. MediaEval, 2018.PDF icon mediaeval_2018_working_notes_paper.pdf (366.65 KB)
E. Garcia-Ceja, M. Riegler, P. Jakobsen, J. Tørresen, T. Nordgreen, K. J. Oedegaard and O. B. Fasmer. Depresjon: A Motor Activity Database of Depression Episodes in Unipolar and Bipolar Patients In Proceedings of the 9th ACM Multimedia Systems Conference, Edited by P. Cesar, M. Zink and N. Murray. New York, NY, USA: ACM Press, 2018.
S. Hicks, M. Riegler, K. Pogorelov, T. de Lange, K. R. Randel, K. V. Ånonsen, M. Jeppsson, P. Halvorsen and S. L. Eskeland. Dissecting Deep Neural Networks for Better Medical Image Classification and Classification Understanding In 31st IEEE CBMS International Symposium on Computer-Based Medical Systems. Karlstad, Sweden: IEEE, 2018.
M. Jeppsson, H. Espeland, T. Kupka, R. Langseth, A. Petlund, P. Qiaoqiao, C. Xue, K. Pogorelov, M. Riegler, D. Johansen et al. Efficient Live and on-Demand Tiled HEVC 360 VR Video Streaming In 2018 IEEE International Symposium on Multimedia (ISM). Taichung, Taiwan: IEEE, 2018.PDF icon paper.pdf (8.99 MB)
M. Lux, M. Riegler, D. Dang-Nguyen, M. Larson, M. Potthast and P. Halvorsen. GameStory Task at MediaEval 2018 In Proceeding of the MediaEval Benchmarking Initiative for Multimedia Evaluation. CEUR Workshop Proceedings, 2018.PDF icon mediaeval_18_paper_8.pdf (650.09 KB)
K. Kousias, M. Riegler, Ö. Alay and A. Argyriou. HINDSIGHT: An R-Based Framework Towards Long Short Term Memory (LSTM) Optimization In Multimedia Systems Conference (MMSys). ACM, 2018.
M. Riegler, P. Halvorsen, B. Münzer and K. Schoeffmann. The Importance of Medical Multimedia In 2018 ACM Multimedia Conference (MM '18). New York, NY, USA: ACM Press, 2018.
K. Pogorelov, M. Riegler, P. Halvorsen, S. Hicks, K. R. Randel, D. Dang-Nguyen, M. Lux, O. Ostroukhova and T. de Lange. Medico Multimedia Task at MediaEval 2018 In Working Notes Proceedings of the MediaEval 2018 Workshop. CEUR Workshop Proceedings, 2018.PDF icon mediaeval_18_paper_63.pdf (348.1 KB)
V. Thambawita, D. Jha, M. Riegler, P. Halvorsen, H. L. Hammer, H. D. Johansen and D. Johansen. The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract using Global Features and Deep Learning In MediaEval 2018. Nice, France: MediaEval, 2018.PDF icon mediaeval_team_dv_10.pdf (374.73 KB)
E. Garcia-Ceja, M. Riegler, T. Nordgreen, P. Jakobsen, K. J. Oedegaard and J. Tørresen. "Mental Health Monitoring with Multimodal Sensing and Machine Learning: A Survey." Pervasive and Mobile Computing 51 (2018): 1-26.
T. de Lange, P. Halvorsen and M. Riegler. "Methodology to develop machine learning algorithms to improve performance in gastrointestinal endoscopy." World Journal of Gastroenterology 45, no. 24 (2018): 5057-5062.PDF icon wjg-24-5057.pdf (1.26 MB)
S. Hicks, M. Lux, T. de Lange, K. R. Randel, M. Jeppsson, K. Pogorelov, P. Halvorsen and M. Riegler. Mimir: An Automatic Reporting and Reasoning System for Deep Learning based Analysis in the Medical Domain In Proceedings of the 9th ACM Multimedia Systems Conference. Amsterdam, Netherlands: ACM, 2018.
E. Garcia-Ceja, M. Riegler, P. Jakobsen, J. Torresen, T. Nordgreen, K. J. Oedegaard and O. B. Fasmer. Motor Activity Based Classification of Depression in Unipolar and Bipolar Patients In 2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS), Edited by B. Kane. Karlstad, Sweden: IEEE, 2018.
M. Soleymani, M. Riegler and P. Halvorsen. "Multimodal analysis of user behavior and browsed content under different image search intents." International Journal of Multimedia Information Retrieval 7 (2018): 29-41.
K. Pogorelov, Z. Albisser, O. Ostroukhova, M. Lux, D. Johansen, P. Halvorsen and M. Riegler. OpenSea - Open Search Based Classification Tool In Proceedings of the 9th ACM Multimedia Systems Conference. Amsterdam, Netherlands: ACM, 2018.
B. Ionescu, H. Müller, M. Villegas, A. G. S. de Herrera, C. Eickhoff, V. Andrearczyk, Y. D. Cid, V. Liauchuk, V. Kovalev, S. A. Hasan et al. Overview of ImageCLEF 2018: Challenges, datasets and evaluation In ImageCLEF 2018, Edited by P. Bellot. Springer, 2018.

Pages