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

RCAD:Real-time Collaborative Anomaly Detection System for Mobile Broadband Networks

In ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022.
Proceedings, refereed
2022
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A. Husa, C. Midoglu, M. Hammou, S. Hicks, D. Johansen, T. Kupka, M. Riegler and P. Halvorsen

Automatic Thumbnail Selection for Soccer Videos using Machine Learning

In ACM Multimedia Systems (MMSys) Conference. The ACM Multimedia Systems Conference (MMSys): ACM, 2022.
Proceedings, refereed
2022
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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 ACM Multimedia Systems (MMSys) Conference. The ACM Multimedia Systems Conference (MMSys): ACM, 2022.
Proceedings, refereed
2022
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S. Hicks, I. Strümke, V. Thambawita, M. Hammou, M. Riegler, P. Halvorsen and S. Parasa

On evaluation metrics for medical applications of artificial intelligenceAbstract

Nature Scientific Reports 1236825221520218325484051210158697682437, no. 1 (2022).
Journal Article
2022
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19 April 2021

New tool and guide on evaluation metrics for medical applications of AI

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2022

Journal articles

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

On evaluation metrics for medical applications of artificial intelligenceAbstract

Nature Scientific Reports 1236825221520218325484051210158697682437, no. 1 (2022).
Status: Published
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 14312136320119704317507593739403621582 (2022).
Status: Published

Proceedings, refereed

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

RCAD:Real-time Collaborative Anomaly Detection System for Mobile Broadband Networks

In ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022.
Status: Accepted
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 ACM Multimedia Systems (MMSys) Conference. The ACM Multimedia Systems Conference (MMSys): ACM, 2022.
Status: Accepted
A. Husa, C. Midoglu, M. Hammou, S. Hicks, D. Johansen, T. Kupka, M. Riegler and P. Halvorsen

Automatic Thumbnail Selection for Soccer Videos using Machine Learning

In ACM Multimedia Systems (MMSys) Conference. The ACM Multimedia Systems Conference (MMSys): ACM, 2022.
Status: Accepted

Miscellaneous

C. Midoglu, S. Hicks, V. Thambawita, T. Kupka and P. Halvorsen

MMSys'22 Grand Challenge on AI-based Video Production for Soccer

arXiv, 2022.
Status: Published
2021

Journal articles

S. Z. Hassan, K. Ahmad, S. Hicks, N. Conci, P. Halvorsen, A. Al-Fuqaha and M. Riegler

Visual Sentiment Analysis from Disaster Images in Social Media

Sensors (2021).
Status: Accepted
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.
Status: Published
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.
Status: Published
D. Jha, S. Ali, S. Hicks, V. Thambawita, H. Borgli, P. H. Smedsrud, T. de Lange, K. Pogorelov, X. Wang, P. Harzig et al.

A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging

Medical Image Analysis 70 (2021): 102007.
Status: Published