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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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2020

Proceedings, refereed

V. Thambawita, S. Hicks, H. Borgli, H. K. Stensland, D. Jha, M. K. Svensen, S. Pettersen, D. Johansen, H. D. Johansen, S. D. Pettersen et al.

PMData: a sports logging dataset

In Proceedings of the 11th ACM Multimedia Systems Conference. ACM, 2020.
Status: Published

Posters

S. Hicks, T. B. Haugen, M. Iliceto, H. L. Hammer, J. M. Andersen, O. Witczak, M. Riegler and M. Stensen

Big data is not always better – prediction of live birth using machine learning on time-lapse videos of human embryos

ESHRE virtual 36th Annual Meeting: ESHRE, 2020.
Status: Published
2019

Journal articles

H. L. Hammer and A. Yazidi

Smooth estimates of multiple quantiles in dynamically varying data streams

Pattern Analysis and Applications (2019): 1-12.
Status: Published
H. L. Hammer, A. Yazidi and H. Rue

A new quantile tracking algorithm using a generalized exponentially weighted average of observations

Applied Intelligence 49 (2019): 1406-1420.
Status: Published
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).
Status: Published
A. A. Mofrad, A. Yazidi and H. L. Hammer

On solving the SPL problem using the concept of probability flux

Applied Intelligence 49 (2019): 2699-2722.
Status: Published
M. Riegler, J. Andersen, M. Andersen, H. L. Hammer, S. Hicks, A. Hicks, W. Oliwia and T. Haugen

Artificial intelligence as a tool in predicting sperm motility and morphology: P-116

Human Reproduction 34 (2019).
Status: Published
N. Tatara, H. L. Hammer, J. Mirkovic, M. K. R. Kjøllesdal and H. K. Andreassen

Associations Between Immigration-Related User Factors and eHealth Activities for Self-Care: Case of First-Generation Immigrants From Pakistan in the Oslo Area, Norway

JMIR public health and surveillance 5 (2019): e11998.
Status: Published
O. Witczak, J. Andersen, S. Hicks, H. L. Hammer, M. Riegler and T. Haugen

Artificial intelligence predicts sperm motility from sperm fatty acids: P-120

Human Reproduction 34 (2019).
Status: Published
A. Yazidi, H. L. Hammer and T. M. Jonassen

Two-time scale learning automata: an efficient decision making mechanism for stochastic nonlinear resource allocation

Applied Intelligence (2019): 1-14.
Status: Published