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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.
Journal Article
2020
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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.
Journal Article
2020
View
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.
Journal Article
2020
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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.
Journal Article
2020
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2020

Journal articles

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
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