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Most recent publications

F. Fineide, A. Storås, M. Magnø, H. L. Hammer, X. Chen, A. Khan, P. Halvorsen, T. Utheim and M. Riegler

Predicting the degree of meibomian gland dropout with artificial intelligence

In ARVO Annual Meeting, 2023.
Proceedings, refereed
2023
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A. Storås, F. Fineide, H. L. Hammer, A. Khan, M. Magnø, C. Xiangjung, P. Halvorsen, T. Utheim and M. Riegler

Using explainable artificial intelligence (XAI) to explore factors affecting meibomian gland (MG) dropout

In ARVO Annual Meeting, 2023.
Proceedings, refereed
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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A. Sharma, M. Stensen, E. Delbarre, M. Siddiqui, T. Haugen, M. Riegler and H. L. Hammer

Detecting human embryo cleavage stages using YOLO v5 object detection algorithm

In Nordic Artificial Intelligence Research and Development. Springer, 2023.
Proceedings, refereed
2023
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2021

Proceedings, refereed

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.
Status: Published
V. Thambawita, T. B. Haugen, M. Stensen, O. Witczak, H. L. Hammer, P. Halvorsen and M. Riegler

Identification of spermatozoa by unsupervised learning from video data

In 37th Virtual Annual Meeting of the European Society of Human Reproduction and Embryology (ESHRE). Oxford University Press, 2021.
Status: Published
V. Thambawita, S. Hicks, J. Isaksen, M. H. Stensen, T. B. Haugen, J. Kanters, S. Parasa, T. de Lange, H. D. Johansen, D. Johansen et al.

DeepSynthBody: the beginning of the end for data deficiency in medicine

In The International Conference on Applied Artificial Intelligence (ICAPAI). IEEE, 2021.
Status: Published
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
M. Kongshavn, H. Haugerud, A. Yazidi, T. Maseng, iv and H. L. Hammer

Mitigating DDoS using weight-based geographical clustering

Concurrency and Computation: Practice and Experience 32 (2020): e5679.
Status: Published
A. A. Mofrad, A. Yazidi, H. L. Hammer and E. Arntzen

Equivalence Projective Simulation as a Framework for Modeling Formation of Stimulus Equivalence Classes

Neural Computation 32 (2020): 912-968.
Status: Published
A. A. Mofrad, A. Yazidi, H. L. Hammer and E. Arntzen

Equivalence projective simulation as a framework for modeling formation of stimulus equivalence classes

Neural computation 32 (2020): 912-968.
Status: Accepted
A. A. Mofrad, A. Yazidi, H. L. Hammer and E. Arntzen

Equivalence projective simulation as a framework for modeling formation of stimulus equivalence classes

Neural computation 32 (2020): 912-968.
Status: Accepted
M. A. Pinto-Orellana and H. L. Hammer

Dyadic Aggregated Autoregressive Model (DASAR) for Automatic Modulation Classification

IEEE Access 8 (2020): 156096-156103.
Status: Published
S. Pontes-Filho, P. Lind, A. Yazidi, J. Zhang, H. L. Hammer, G. B. M. Mello, I. Sandvig, G. Tufte and S. Nichele

A neuro-inspired general framework for the evolution of stochastic dynamical systems: Cellular automata, random Boolean networks and echo state networks towards criticality

Cognitive Neurodynamics 14 (2020): 1-18.
Status: Published