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Most recent publications

H. L. Hammer, M. Riegler and H. Tjelmeland

Approximate Bayesian Inference Based on Expected Evaluation

Bayesian Analysis 1, no. 1 (2023).
Journal Article
2023
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P. Salehi, S. Z. Hassan, M. Lammerse, S. S. Sabet, I. Riiser, R. K. Røed, M. S. Johnson, V. Thambawita, S. Hicks, M. Powell et al.

Synthesizing a Talking Child Avatar to Train Interviewers Working with Maltreated Children

Big Data and Cognitive Computing 6, no. 2 (2022): 62.
Journal Article
2022
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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. ACM, 2022.
Proceedings, refereed
2022
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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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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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News

03 February 2022
Fasade of the European Commission building.

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

Courses held

Several courses within Machine Learning and programming

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2023

Journal articles

H. L. Hammer, M. Riegler and H. Tjelmeland

Approximate Bayesian Inference Based on Expected Evaluation

Bayesian Analysis 1, no. 1 (2023).
Status: Published
2022

Journal articles

P. Salehi, S. Z. Hassan, M. Lammerse, S. S. Sabet, I. Riiser, R. K. Røed, M. S. Johnson, V. Thambawita, S. Hicks, M. Powell et al.

Synthesizing a Talking Child Avatar to Train Interviewers Working with Maltreated Children

Big Data and Cognitive Computing 6, no. 2 (2022): 62.
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. ACM, 2022.
Status: Published

Public outreach

O. Lysne, I. Strümke and M. Riegler

Data samlet fra åpne kilder er ikke ufarlig

Kronikk: Aftenposten, 2022.
Status: Published
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
2020

Proceedings, refereed

B. Ionescu, H. Müller, R. Péteri, A. Ben Abacha, V. Datla, S. A. Hasan, D. Demner-Fushman, S. Kozlovski, V. Liauchuk, Y. D. Cid et al.

Overview of the ImageCLEF 2020: Multimedia Retrieval in Medical, Lifelogging, Nature, and Internet Applications

In CLEF 2020. Vol. 12260. Cham: Springer International Publishing, 2020.
Status: Published