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Most recent publications

A. Storås, O. E. Andersen, S. Lockhart, R. Thielemann, F. Gnesin, V. Thambawita, S. Hicks, J. Kanters, I. Strümke, P. Halvorsen et al.

Usefulness of Heat Map Explanations for Deep-Learning-Based Electrocardiogram Analysis

Diagnostics 13, no. 14 (2023).
Journal Article
2023
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R. K. Røed, G. A. Baugerud, S. Z. Hassan, S. S. Sabet, P. Salehi, M. Powell, M. Riegler, P. Halvorsen and M. S. Johnson

Enhancing Questioning Skills through Child Avatar Chatbot Training with Feedback

Frontiers in Psychology (2023).
Journal Article
2023
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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. Nguyen, M. Dao, M. Riegler, R. U. Kiran, T. Dang, D. Le, K. Nguyen-Ly, T. Pham and V. Nguyen

Training Performance Indications for Amateur Athletes Based on Nutrition and Activity Lifelogs

Algorithms, no. 1 (2023): 30.
Journal Article
2023
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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

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Several courses within Machine Learning and programming

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2023

Journal articles

S. Ali, D. Jha, N. Ghatwary, S. Realdon, R. Cannizzaro, O. E. Salem, D. Lamarque, C. Daul, K. V. Anonsen, M. Riegler et al.

A multi-center polyp detection and segmentation dataset for generalisability assessment

Nature Scientific Data 10 (2023).
Status: Published
C. S. R. Drejer, M. Riegler, M. S. Johnson, P. Halvorsen and G. A. Baugerud

Live Streaming Technology and Online Child Sexual Exploitation and Abuse - A Scoping Review

Trauma, Violence, & Abuse (2023).
Status: Accepted
H. L. Hammer, M. Riegler and H. Tjelmeland

Approximate Bayesian Inference Based on Expected Evaluation

Bayesian Analysis 1, no. 1 (2023).
Status: Published
P. Nguyen, M. Dao, M. Riegler, R. U. Kiran, T. Dang, D. Le, K. Nguyen-Ly, T. Pham and V. Nguyen

Training Performance Indications for Amateur Athletes Based on Nutrition and Activity Lifelogs

Algorithms, no. 1 (2023): 30.
Status: Published
R. K. Røed, G. A. Baugerud, S. Z. Hassan, S. S. Sabet, P. Salehi, M. Powell, M. Riegler, P. Halvorsen and M. S. Johnson

Enhancing Questioning Skills through Child Avatar Chatbot Training with Feedback

Frontiers in Psychology (2023).
Status: Published
A. Storås, O. E. Andersen, S. Lockhart, R. Thielemann, F. Gnesin, V. Thambawita, S. Hicks, J. Kanters, I. Strümke, P. Halvorsen et al.

Usefulness of Heat Map Explanations for Deep-Learning-Based Electrocardiogram Analysis

Diagnostics 13, no. 14 (2023).
Status: Published
2022

Journal articles

J. A. Alslie, A. B. Ovesen, T. S. Nordmo, H. D. Johansen, P. Halvorsen, M. Riegler and D. Johansen

Áika: A Distributed Edge System for AI Inference

Big Data and Cognitive Computing 6, no. 2 (2022): 68.
Status: Published
M. Boeker, M. Riegler, H. L. Hammer, P. Jakobsen and P. Halvorsen

Prediction of Schizophrenia from Activity Data using Hidden Markov Model Parameters

Neural Computing and Applications (2022).
Status: Published
A. Chatterjee, N. Pahari, A. Prinz and M. Riegler

Machine learning and ontology in eCoaching for personalized activity level monitoring and recommendation generation

Scientific Reports 12, no. 1 (2022): 19825.
Status: Published
S. S. Eide, M. Riegler, H. L. Hammer and J. B. Bremnes

Deep Tower Networks for Efficient Temperature Forecasting from Multiple Data Sources

Sensors 22, no. 7 (2022): 2802.
Status: Published