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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

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: 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: 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
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