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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

Journal articles

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
A. Yazidi, H. L. Hammer, K. Samouylov and E. Herrera-Viedma

Game-Theoretic Learning for Sensor Reliability Evaluation Without Knowledge of the Ground Truth

IEEE Transactions on Cybernetics (2020).
Status: Published
A. Yazidi, M. A. Pinto-Orellana, H. L. Hammer, P. Mirtaheri and E. Herrera-Viedma

Solving Sensor Identification Problem Without Knowledge of the Ground Truth Using Replicator Dynamics

IEEE Transactions on Cybernetics (2020): 1-9.
Status: Published
A. Yazidi, A. A. Mofrad, M. Goodwin, H. L. Hammer and E. Arntzen

Balanced difficulty task finder: an adaptive recommendation method for learning tasks based on the concept of state of flow

Cognitive Neurodynamics 14 (2020): 675-687.
Status: Published
A. Yazidi, I. Hassan, H. L. Hammer and J. B Oommen

Achieving Fair Load Balancing by Invoking a Learning Automata-Based Two-Time-Scale Separation Paradigm

IEEE Transactions on Neural Networks and Learning Systems (2020): 1-14.
Status: Published

Proceedings, refereed

S. Hicks, V. Thambawita, H. L. Hammer, T. B. Haugen, J. M. Andersen, O. Witczak, P. Halvorsen and M. Riegler

ACM Multimedia BioMedia 2020 Grand Challenge Overview

In Proceedings of the 28th ACM International Conference on Multimedia. New York, NY, USA: Association for Computing Machinery, 2020.
Status: Published
S. Hicks, D. Jha, V. Thambawita, P. Halvorsen, H. L. Hammer and M. Riegler

The EndoTect 2020 Challenge: Evaluation and Comparison of Classification, Segmentation and Inference Time for Endoscopy

In 25th International Conference on Pattern Recognition (ICPR). IEEE, 2020.
Status: Published
M. A. Pinto-Orellana and H. L. Hammer

Analysis of Optical Brain Signals Using Connectivity Graph Networks

In International Cross-Domain Conference for Machine Learning and Knowledge Extraction. Springer, 2020.
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

EvoDynamic: A Framework for the Evolution of Generally Represented Dynamical Systems and Its Application to Criticality

In International Conference on the Applications of Evolutionary Computation (Part of EvoStar). Cham: Springer, 2020.
Status: Published
H. Svoren, V. Thambawita, P. Halvorsen, P. Jakobsen, E. Garcia-Ceja, F. M. Noori, H. L. Hammer, M. Lux, M. Riegler and S. Hicks

Toadstool: A Dataset for Training Emotional IntelligentMachines Playing Super Mario Bros

In The ACM Multimedia Systems Conference (MMSys). The ACM Multimedia Systems Conference (MMSys): ACM, 2020.
Status: Published