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2020
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.
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.
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.
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.
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).
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.
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.
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.