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S. Hicks, D. Jha, V. Thambawita, H. L. Hammer, T. de Lange, S. Parasa, M. Riegler and P. Halvorsen

Medico Multimedia Task at MediaEval 2021: Transparency in Medical Image Segmentation

In Mediaeval Medico 2021. Mediaeval 2021, 2021.
Proceedings, refereed
2021
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A. Sharma, T. Haugen, H. L. Hammer, M. Riegler and M. Stensen

Towards better explainable deep learning models for embryo selection in ART

Human Reproduction 36, no. Supplement_1 (2021).
Journal Article
2021
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H. Svennevik, M. Riegler, S. Hicks, T. Storelvmo and H. L. Hammer

Prediction of Cloud Fractional Cover Using Machine Learning

Big Data and Cognitive Computing 5, no. 4 (2021): 62.
Journal Article
2021
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S. S. Eide, M. Riegler, H. L. Hammer and J. B. Bremnes

Temperature Forecasting using Tower Networks

In Proceedings of the 2021 Workshop on Intelligent Cross-Data Analysis and Retrieval. New York, NY, USA: Association for Computing Machinery, 2021.
Proceedings, refereed
2021
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2021
M. Boeker, M. Riegler, H. L. Hammer, P. Halvorsen, O. B. Fasmer and P. Jakobsen

Diagnosing Schizophrenia from Activity Records using Hidden Markov Model Parameters

In 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS)2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS). Aveiro, Portugal: IEEE, 2021.
Status: Published

Journal articles

H. L. Hammer, A. Yazidi and H. Rue

Joint tracking of multiple quantiles through conditional quantiles

Information Sciences 563 (2021): 40-58.
Status: Published
A. Kolevatova, M. Riegler, F. Cherubini, X. Hu and H. L. Hammer

Unraveling the Impact of Land Cover Changes on Climate using Machine Learning and Explainable Artificial Intelligence

Big Data and Cognitive Computing 5 (2021): 55.
Status: Published
A. A. Mofrad, A. Yazidi, S. A. Mofrad, H. L. Hammer and E. Arntzen

Enhanced Equivalence Projective Simulation: A Framework for Modeling Formation of Stimulus Equivalence Classes

Neural Computation 33, no. 2 (2021): 483-527.
Status: Published
M. Riegler, M. H. Stensen, O. Witczak, J. M. Andersen, S. Hicks, H. L. Hammer, E. Delbarre, P. Halvorsen, A. Yazidi, N. Holst et al.

Artificial intelligence in the fertility clinic: status, pitfalls and possibilities

Human Reproduction 36, no. 9 (2021): 2429-2442.
Status: Published
A. Sharma, T. Haugen, H. L. Hammer, M. Riegler and M. Stensen

Towards better explainable deep learning models for embryo selection in ART

Human Reproduction 36, no. Supplement_1 (2021).
Status: Published
P. H. Smedsrud, V. Thambawita, S. Hicks, H. Gjestang, O. O. Nedrejord, E. Næss, H. Borgli, D. Jha, T. J. D. Berstad, S. L. Eskeland et al.

Kvasir-Capsule, a video capsule endoscopy dataset

Scientific Data 8, no. 1 (2021): 142.
Status: Published
H. Svennevik, M. Riegler, S. Hicks, T. Storelvmo and H. L. Hammer

Prediction of Cloud Fractional Cover Using Machine Learning

Big Data and Cognitive Computing 5, no. 4 (2021): 62.
Status: Published
V. Thambawita, J. L. Isaksen, S. Hicks, J. Ghouse, G. Ahlberg, A. Linneberg, N. Grarup, C. Ellervik, M. S. Olesen, T. Hansen et al.

DeepFake electrocardiograms: the key for open science for artificial intelligence in medicine

Scientific Reports (2021).
Status: Accepted
V. Thambawita, J. L. Isaksen, S. Hicks, J. Ghouse, G. Ahlberg, A. Linneberg, N. Grarup, C. Ellervik, M. S. Olesen, T. Hansen et al.

DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine

Nature Scientific Reports 11 (2021): 21896.
Status: Published