| Foundations of neural networks, fuzzy systems, and knowledge engineering NK Kasabov Marcel Alencar, 1996 | 1466 | 1996 |
| DENFIS: dynamic evolving neural-fuzzy inference system and its application for time-series prediction NK Kasabov, Q Song IEEE transactions on Fuzzy Systems 10 (2), 144-154, 2002 | 1177 | 2002 |
| Evolving connectionist systems: Methods and applications in bioinformatics, brain study and intelligent machines N Kasabov Springer Science & Business Media, 2013 | 685* | 2013 |
| Evolving fuzzy neural networks for supervised/unsupervised online knowledge-based learning N Kasabov IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 31 …, 2001 | 467 | 2001 |
| HyFIS: adaptive neuro-fuzzy inference systems and their application to nonlinear dynamical systems J Kim, N Kasabov Neural Networks 12 (9), 1301-1319, 1999 | 335 | 1999 |
| Incremental linear discriminant analysis for classification of data streams S Pang, S Ozawa, N Kasabov IEEE, 2005 | 297 | 2005 |
| Evolving fuzzy neural networks-algorithms, applications and biological motivation N Kasabov Methodologies for the conception, design and application of soft computing …, 1998 | 237 | 1998 |
| Dynamic evolving spiking neural networks for on-line spatio-and spectro-temporal pattern recognition N Kasabov, K Dhoble, N Nuntalid, G Indiveri Neural Networks 41, 188-201, 2013 | 213 | 2013 |
| Learning fuzzy rules and approximate reasoning in fuzzy neural networks and hybrid systems NK Kasabov Fuzzy sets and Systems 82 (2), 135-149, 1996 | 197 | 1996 |
| NeuCube: A spiking neural network architecture for mapping, learning and understanding of spatio-temporal brain data NK Kasabov Neural Networks 52, 62-76, 2014 | 173 | 2014 |
| FuNN/2—a fuzzy neural network architecture for adaptive learning and knowledge acquisition NK Kasabov, J Kim, MJ Watts, AR Gray Information sciences 101 (3-4), 155-175, 1997 | 166 | 1997 |
| Quantum-inspired evolutionary algorithm: a multimodel EDA MD Platel, S Schliebs, N Kasabov IEEE Transactions on Evolutionary Computation 13 (6), 1218-1232, 2009 | 162 | 2009 |
| Span: Spike pattern association neuron for learning spatio-temporal spike patterns A Mohemmed, S Schliebs, S Matsuda, N Kasabov International journal of neural systems 22 (04), 1250012, 2012 | 154 | 2012 |
| To spike or not to spike: A probabilistic spiking neuron model N Kasabov Neural Networks 23 (1), 16-19, 2010 | 133 | 2010 |
| Multiple gene expression classifiers from different array platforms predict poor prognosis of colorectal cancer YH Lin, J Friederichs, MA Black, J Mages, R Rosenberg, PJ Guilford, ... Clinical Cancer Research 13 (2), 498-507, 2007 | 123 | 2007 |
| On-line pattern analysis by evolving self-organizing maps D Deng, N Kasabov Neurocomputing 51, 87-103, 2003 | 123 | 2003 |
| Incremental learning of chunk data for online pattern classification systems S Ozawa, S Pang, N Kasabov IEEE Transactions on Neural Networks 19 (6), 1061-1074, 2008 | 117 | 2008 |
| ECOS: Evolving Connectionist Systems and the ECO Learning Paradigm. NK Kasabov Iconip 98, 1232-1235, 1998 | 115 | 1998 |
| Incremental learning of feature space and classifier for face recognition S Ozawa, SL Toh, S Abe, S Pang, N Kasabov Neural Networks 18 (5-6), 575-584, 2005 | 109 | 2005 |
| Evolving spiking neural networks for audiovisual information processing SG Wysoski, L Benuskova, N Kasabov Neural Networks 23 (7), 819-835, 2010 | 107 | 2010 |