| Learning feed-forward and recurrent fuzzy systems: A genetic approach H Surmann, M Maniadakis Journal of Systems Architecture 47 (7), 649-662, 2001 | 54 | 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 | 48 | 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 | 38 | 2017 |
| Temporal cognition: a key ingredient of intelligent systems M Maniadakis, P Trahanias Frontiers in neurorobotics 5, 2, 2011 | 36 | 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 | 35 | 2001 |
| Time models and cognitive processes: a review M Maniadakis, P Trahanias Frontiers in neurorobotics 8, 7, 2014 | 31 | 2014 |
| Explorations on artificial time perception M Maniadakis, P Trahanias, J Tani Neural Networks 22 (5-6), 509-517, 2009 | 27 | 2009 |
| Modelling brain emergent behaviours through coevolution of neural agents M Maniadakis, P Trahanias Neural Networks 19 (5), 705-720, 2006 | 22 | 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 | 17 | 2018 |
| Agent-based brain modeling by means of hierarchical cooperative coevolution M Maniadakis, P Trahanias Artificial life 15 (3), 293-336, 2009 | 17 | 2009 |
| Modeling overlapping execution/observation brain pathways M Maniadakis, M Hourdakis, P Trahanias 2007 International Joint Conference on Neural Networks, 1255-1260, 2007 | 12 | 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 | 12 | 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 | 12 | 2000 |
| A genetic algorithm for structural and parametrical tuning of fuzzy systems M Maniadakis, H Surmann European Symposium on Intelligent Techniques, ESIT99, 1999 | 12 | 1999 |
| Dynamical systems account for meta-level cognition M Maniadakis, J Tani International Conference on Simulation of Adaptive Behavior, 311-320, 2008 | 11 | 2008 |
| Time-informed task planning in multi-agent collaboration M Maniadakis, E Hourdakis, P Trahanias Cognitive Systems Research 43, 291-300, 2017 | 10 | 2017 |
| Acquiring rules for rules: neuro-dynamical systems account for meta-cognition M Maniadakis, J Tani Adaptive Behavior 17 (1), 58-80, 2009 | 10 | 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 | 9 | 2012 |
| Experiencing and processing time with neural networks M Maniadakis, P Trahanias Proc. 4th Int. Conf. on Advanced Cogn. Tech. and App, 2012 | 9 | 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 | 8 | 2017 |
