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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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2020

Journal articles

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
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
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