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Most recent publications

K. Kousias, A. Pappas, Ö. Alay, A. Argyriou and M. Riegler

Long short term memory networks for bandwidth forecasting in mobile broadband networks under mobility

arXiv preprint arXiv:2011.10563 (2020).
Journal Article
2020
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T. Roß, A. Reinke, P. M. Full, M. Wagner, H. Kenngott, M. Apitz, H. Hempe, D. M. Filimon, P. Scholz, T. N. Tran et al.

Comparative validation of multi-instance instrument segmentation in endoscopy: results of the ROBUST-MIS 2019 challenge

Medical Image Analysis (2020).
Journal Article
2020
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E. Garcia-Ceja, B. Morin, A. Aguilar-Rivera and M. Riegler

A Genetic Attack Against Machine Learning Classifiers to Steal Biometric Actigraphy Profiles from Health Related Sensor Data

Journal of Medical Systems 44, no. 10 (2020): 1-11.
Journal Article
2020
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P. Jakobsen, E. Garcia-Ceja, M. Riegler, L. A. Stabell, T. Nordgreen, J. Torresen, O. B. Fasmer and K. J. Oedegaard

Applying machine learning in motor activity time series of depressed bipolar and unipolar patients compared to healthy controls

PLOS ONE 15, no. 8 (2020): e0231995.
Journal Article
2020
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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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2020

Journal articles

H. Borgli, V. Thambawita, P. H. Smedsrud, S. Hicks, D. Jha, S. L. Eskeland, K. R. Randel, K. Pogorelov, M. Lux, D. T. D. Nguyen et al.

HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy

Scientific Data 7, no. 1 (2020): 1-14.
Status: Published
E. Garcia-Ceja, B. Morin, A. Aguilar-Rivera and M. Riegler

A Genetic Attack Against Machine Learning Classifiers to Steal Biometric Actigraphy Profiles from Health Related Sensor Data

Journal of Medical Systems 44, no. 10 (2020): 1-11.
Status: Published
P. Jakobsen, E. Garcia-Ceja, M. Riegler, L. A. Stabell, T. Nordgreen, J. Torresen, O. B. Fasmer and K. J. Oedegaard

Applying machine learning in motor activity time series of depressed bipolar and unipolar patients compared to healthy controls

PLOS ONE 15, no. 8 (2020): e0231995.
Status: Published
K. Kousias, A. Pappas, Ö. Alay, A. Argyriou and M. Riegler

Long short term memory networks for bandwidth forecasting in mobile broadband networks under mobility

arXiv preprint arXiv:2011.10563 (2020).
Status: Published
F. M. Noori, M. Riegler, M. Z. Uddin and J. Torresen

Human Activity Recognition from Multiple Sensors Data Using Multi-fusion Representations and CNNs

ACM Transactions on Multimedia Computing, Communications, and Applications 16, no. 2 (2020): 1-19.
Status: Published
T. Roß, A. Reinke, P. M. Full, M. Wagner, H. Kenngott, M. Apitz, H. Hempe, D. M. Filimon, P. Scholz, T. N. Tran et al.

Comparative validation of multi-instance instrument segmentation in endoscopy: results of the ROBUST-MIS 2019 challenge

Medical Image Analysis (2020).
Status: Published
V. Thambawita, D. Jha, H. L. Hammer, H. D. Johansen, D. Johansen, P. Halvorsen and M. Riegler

An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning applied to Gastrointestinal Tract Abnormality Classification

ACM Transactions on Computing for Healthcare 1 (2020): 1-29.
Status: Published