Prof. Nikola Kasabov, Life FIEEE, FRSNZ, FINNS
Prof. Nikola Kasabov, Life FIEEE, FRSNZ, FINNS
Other namesNikola Kassabov; Nik Kasabov
Professor Auckland Uni of Technol., Ulster Uni UK, and IICT Bulg. Acad. Sci;
Verified email at - Homepage
Cited by
Cited by
Foundations of neural networks, fuzzy systems, and knowledge engineering
NK Kasabov
Marcel Alencar, 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
Evolving connectionist systems: the knowledge engineering approach
NK Kasabov
Springer Science & Business Media, 2007
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
HyFIS: adaptive neuro-fuzzy inference systems and their application to nonlinear dynamical systems
J Kim, N Kasabov
Neural networks 12 (9), 1301-1319, 1999
NeuCube: A spiking neural network architecture for mapping, learning and understanding of spatio-temporal brain data
NK Kasabov
Neural Networks 52, 62-76, 2014
Incremental linear discriminant analysis for classification of data streams
S Pang, S Ozawa, N Kasabov
IEEE transactions on Systems, Man, and Cybernetics, part B (Cybernetics) 35 …, 2005
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
Evolving intelligent systems: methodology and applications
P Angelov, DP Filev, N Kasabov
John Wiley & Sons, 2010
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
Evolving fuzzy neural networks-algorithms, applications and biological motivation
N Kasabov
Methodologies for the conception, design and application of soft computing …, 1998
Learning fuzzy rules and approximate reasoning in fuzzy neural networks and hybrid systems
NK Kasabov
Fuzzy sets and Systems 82 (2), 135-149, 1996
Quantum-inspired evolutionary algorithm: A multimodel EDA
MD Platel, S Schliebs, N Kasabov
IEEE Transactions on Evolutionary Computation 13 (6), 1218-1232, 2008
Time-space, spiking neural networks and brain-inspired artificial intelligence
NK Kasabov
Springer Berlin Heidelberg, 2019
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
To spike or not to spike: A probabilistic spiking neuron model
N Kasabov
Neural Networks 23 (1), 16-19, 2010
Evolving spiking neural networks for audiovisual information processing
SG Wysoski, L Benuskova, N Kasabov
Neural Networks 23 (7), 819-835, 2010
Evolving spiking neural network—a survey
S Schliebs, N Kasabov
Evolving Systems 4, 87-98, 2013
On-line pattern analysis by evolving self-organizing maps
D Deng, N Kasabov
Neurocomputing 51, 87-103, 2003
Spiking neural networks and online learning: An overview and perspectives
JL Lobo, J Del Ser, A Bifet, N Kasabov
Neural Networks 121, 88-100, 2020
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