Michail Maniadakis
Cited by
Cited by
Learning feed-forward and recurrent fuzzy systems: A genetic approach
H Surmann, M Maniadakis
Journal of Systems Architecture 47 (7), 649-662, 2001
A hybrid neural network/genetic algorithm approach to optimizing feature extraction for signal classification
GA Rovithakis, M Maniadakis, M Zervakis
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 34 …, 2004
Passage of time judgments in everyday life are not related to duration judgments except for long durations of several minutes
S Droit-Volet, P Trahanias, M Maniadakis
Acta psychologica 173, 116-121, 2017
Temporal cognition: a key ingredient of intelligent systems
M Maniadakis, P Trahanias
Frontiers in neurorobotics 5, 2, 2011
Artificial neural networks for discriminating pathologic from normal peripheral vascular tissue
GA Rovithakis, M Maniadakis, M Zervakis, G Filippidis, G Zacharakis, ...
IEEE transactions on Biomedical Engineering 48 (10), 1088-1097, 2001
Time models and cognitive processes: a review
M Maniadakis, P Trahanias
Frontiers in neurorobotics 8, 7, 2014
Explorations on artificial time perception
M Maniadakis, P Trahanias, J Tani
Neural Networks 22 (5-6), 509-517, 2009
Modelling brain emergent behaviours through coevolution of neural agents
M Maniadakis, P Trahanias
Neural Networks 19 (5), 705-720, 2006
The explicit judgment of long durations of several minutes in everyday life: Conscious retrospective memory judgment and the role of affects?
S Droit-Volet, S Monceau, M Berthon, P Trahanias, M Maniadakis
PloS one 13 (4), e0195397, 2018
Agent-based brain modeling by means of hierarchical cooperative coevolution
M Maniadakis, P Trahanias
Artificial life 15 (3), 293-336, 2009
Modeling overlapping execution/observation brain pathways
M Maniadakis, M Hourdakis, P Trahanias
2007 International Joint Conference on Neural Networks, 1255-1260, 2007
Hierarchical cooperative coevolution facilitates the redesign of agent-based systems
M Maniadakis, P Trahanias
International Conference on Simulation of Adaptive Behavior, 582-593, 2006
A genetically optimized artificial neural network structure for feature extraction and classification of vascular tissue fluorescence spectrums
G Rovithakis, M Maniadakis, M Zervakis
Proceedings Fifth IEEE International Workshop on Computer Architectures for …, 2000
A genetic algorithm for structural and parametrical tuning of fuzzy systems
M Maniadakis, H Surmann
European Symposium on Intelligent Techniques, ESIT99, 1999
Dynamical systems account for meta-level cognition
M Maniadakis, J Tani
International Conference on Simulation of Adaptive Behavior, 311-320, 2008
Time-informed task planning in multi-agent collaboration
M Maniadakis, E Hourdakis, P Trahanias
Cognitive Systems Research 43, 291-300, 2017
Acquiring rules for rules: neuro-dynamical systems account for meta-cognition
M Maniadakis, J Tani
Adaptive Behavior 17 (1), 58-80, 2009
Self-organizing high-order cognitive functions in artificial agents: implications for possible prefrontal cortex mechanisms
M Maniadakis, P Trahanias, J Tani
Neural Networks 33, 76-87, 2012
Experiencing and processing time with neural networks
M Maniadakis, P Trahanias
Proc. 4th Int. Conf. on Advanced Cogn. Tech. and App, 2012
Augmented Cognition via Brainwave Entrainment in Virtual Reality: An Open, Integrated Brain Augmentation in a Neuroscience System Approach
E Argento, G Papagiannakis, E Baka, M Maniadakis, P Trahanias, ...
Augmented Human Research 2 (1), 3, 2017
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