Combining negative selection and classification techniques for anomaly detection F Gonzalez, D Dasgupta, R Kozma Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat …, 2002 | 324 | 2002 |
Bindsnet: A machine learning-oriented spiking neural networks library in python H Hazan, DJ Saunders, H Khan, D Patel, DT Sanghavi, HT Siegelmann, ... Frontiers in neuroinformatics 12, 89, 2018 | 300 | 2018 |
Chaotic resonance—methods and applications for robust classification of noisy and variable patterns R Kozma, WJ Freeman International Journal of Bifurcation and chaos 11 (06), 1607-1629, 2001 | 266 | 2001 |
Th e Use of Multiple Representations and the Social Construction of Understanding in Chemistry RB Kozma Innovations in science and mathematics education, 24-59, 2012 | 232 | 2012 |
The use of multiple, linked representations to facilitate science understanding RB Kozma, J Russell, T Jones, N Marx, J Davis International perspectives on the design of technology-supported learning …, 2012 | 231 | 2012 |
Breathing as a fundamental rhythm of brain function DH Heck, SS McAfee, Y Liu, A Babajani-Feremi, R Rezaie, WJ Freeman, ... Frontiers in neural circuits 10, 115, 2017 | 223 | 2017 |
The technological revolution comes to the classroom ROB KOzma, J Johnston Change: The Magazine of Higher Learning 23 (1), 10-23, 1991 | 220 | 1991 |
Biocomplexity: adaptive behavior in complex stochastic dynamical systems WJ Freeman, R Kozma, PJ Werbos Biosystems 59 (2), 109-123, 2001 | 196 | 2001 |
Advances in neuromorphic memristor science and applications R Kozma, RE Pino, GE Pazienza Springer Science & Business Media, 2012 | 189 | 2012 |
Phase transitions in the neuropercolation model of neural populations with mixed local and non-local interactions R Kozma, M Puljic, P Balister, B Bollobás, WJ Freeman Biological cybernetics 92, 367-379, 2005 | 189 | 2005 |
Introduction: Hybrid intelligent adaptive systems N Kasabov, R Kozma International Journal of Intelligent Systems 13 (6), 453-454, 1998 | 121* | 1998 |
Complete stability analysis of a heuristic approximate dynamic programming control design Y Sokolov, R Kozma, LD Werbos, PJ Werbos Automatica 59, 9-18, 2015 | 120 | 2015 |
Neurodynamics of Cognition and Consciousness (Understanding Complex Systems) LI Perlovsky, R Kozma | 119* | 2007 |
Neurodynamics of cognition and consciousness LI Perlovsky, R Kozma Neurodynamics of cognition and consciousness, 1-8, 2007 | 116 | 2007 |
Neurodynamics of cognition and consciousness LI Perlovsky, R Kozma Neurodynamics of cognition and consciousness, 1-8, 2007 | 116 | 2007 |
The rhythm of memory: how breathing shapes memory function DH Heck, R Kozma, LM Kay Journal of neurophysiology 122 (2), 563-571, 2019 | 113 | 2019 |
Beyond feedforward models trained by backpropagation: A practical training tool for a more efficient universal approximator R Ilin, R Kozma, PJ Werbos IEEE Transactions on Neural Networks 19 (6), 929-937, 2008 | 113 | 2008 |
The KIV model—nonlinear spatio-temporal dynamics of the primordial vertebrate forebrain R Kozma, WJ Freeman, P Erdi Neurocomputing 52, 819-826, 2003 | 112 | 2003 |
Basic principles of the KIV model and its application to the navigation problem R Kozma, WJ Freeman Journal of Integrative Neuroscience 2 (01), 125-145, 2003 | 97 | 2003 |
Handbook of large-scale random networks B Bollobás, R Kozma, D Miklos Springer Science & Business Media, 2010 | 93 | 2010 |