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Most recent publications

A. H. M. Ahmed, S. Hicks, M. Riegler and A. Elmokashfi

Predicting High Delays in Mobile Broadband Networks

IEEE Access 9 (2021): 168999-169013.
Journal Article
2021
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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). New York, NY, USA: ACM, 2021.
Proceedings, refereed
2021
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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.
Journal Article
2021
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I. Strümke, S. Hicks, V. Thambawita, D. Jha, S. Parasa, M. Riegler and P. Halvorsen

Artificial Intelligence in Gastroenterology

In Artificial Intelligence in Medicine, 1-20. Cham: Springer International Publishing, 2021.
Book Chapter
2021
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Selected publications

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.
Miscellaneous
2022
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M. Riegler, C. Griwodz, C. Spampinato, T. de Lange, S. L. Eskeland, K. Pogorelov, W. Tavanapong, P. T. Schmidt, C. Gurrin, D. Johansen et al.

Multimedia and Medicine: Teammates for Better Disease Detection and Survival

In ACM Multimedia. Amsterdam, The Netherlands, The Netherlands: ACM, 2016.
Proceedings, refereed
2016
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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).
Journal Article
2019
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S. Hicks, J. L. Isaksen, V. Thambawita, J. Ghouse, G. Ahlberg, A. Linneberg, N. Grarup, I. Strümke, C. Ellervik, M. S. Olesen et al.

Explaining deep neural networks for knowledge discovery in electrocardiogram analysis

Scientific Reports 11 (2021): 10949.
Journal Article
2021
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03 February 2022
Fasade of the European Commission building.

SimulaMet part of EU project to improve patient outcome in acute stroke treatment

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Several courses within Machine Learning and programming

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2021

Journal articles

A. H. M. Ahmed, S. Hicks, M. Riegler and A. Elmokashfi

Predicting High Delays in Mobile Broadband Networks

IEEE Access 9 (2021): 168999-169013.
Status: Published
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.
Status: Published
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.
Status: Published

Proceedings, refereed

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). New York, NY, USA: ACM, 2021.
Status: Published

Book chapters

I. Strümke, S. Hicks, V. Thambawita, D. Jha, S. Parasa, M. Riegler and P. Halvorsen

Artificial Intelligence in Gastroenterology

In Artificial Intelligence in Medicine, 1-20. Cham: Springer International Publishing, 2021.
Status: Published
2013

Proceedings, refereed

X. Li, M. Riegler and A. Hanjalic

Exploration of Feature Combination in Geo-visual Ranking for Visual Content-based Location Prediction.

In MediaEval 2013 Workshop, Barcelona, Spain. CEUR-WS.org, 2013.
Status: Published
M. Lux and M. Riegler

Annotation of endoscopic videos on mobile devices: a bottom-up approach

In MMSys '13: Proceedings of the 4th ACM Multimedia Systems Conference. New York, NY, USA: ACM, 2013.
Status: Published
M. Riegler, M. Lux and C. Kofler

Frame the Crowd: Global Visual Features Labeling boosted with Crowdsourcing Information

In MediaEval 2013 Workshop, Barcelona, Spain. CEUR-WS.org, 2013.
Status: Published