Prof. Nikola Kasabov, FIEEE, FRSNZ, FINNS

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i10-index	292	158

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Jie YangShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Lubica BenuskovaComenius University in Bratislava, Faculty of Mathematics, Physics and InformaticsVerified email at ii.fmph.uniba.sk
Stefan SchliebsAuckland University of TechnologyVerified email at aut.ac.nz
Maryam DoborjehAuckland University of Technology, New ZealandVerified email at aut.ac.nz
Seiichi OzawaKobe UniversityVerified email at kobe-u.ac.jp
Simei WysoskiFisher & Paykel HealthcareVerified email at fphcare.co.nz
Elisa Capecci PhDVerified email at trustpower.co.nz
Enmei Tu（屠恩美）Assistant Professor, Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Zohreh DoborjehThe University of AucklandVerified email at auckland.ac.nz
Robert Kozma, Fellow IEEE, Fellow IN...University of Memphis, TN, USAVerified email at memphis.edu
Plamen P AngelovProfessor, Chair in Intelligent Systems, School of Computing and Communications, LancasterVerified email at lancaster.ac.uk
Ammar MohemmedAuckland University of TechnologyVerified email at aut.ac.nz
Zeng-Guang HouProfessor and Deputy Director, SKLMCCS, Institute of Automation, Chinese Academy of SciencesVerified email at ia.ac.cn
Jeremiah D. DengUniversity of OtagoVerified email at otago.ac.nz
Michael J. WattsAISVerified email at mike.watts.net.nz
Valery FeiginNational Institute for Stroke and Applied Neurosciences, AUT UniversityVerified email at aut.ac.nz
Dimitar P. FilevHenry Ford Technical Fellow - Control & AI, Research & Advanced Engineering, Ford Motor CompanyVerified email at Ford.com
Matthias E. FutschikHonorary Professor in BioinformaticsVerified email at plymouth.ac.uk
Michael Defoin-PlatelAmadeusVerified email at amadeus.com
Raphael Yingjie HuAUTVerified email at aut.ac.nz

Prof. Nikola Kasabov, FIEEE, FRSNZ, FINNS

Professor Auckland Univ. of Techn.; George Moore Chair Ulster. Univ. UK; Director Knowl.Eng.Cons.Ltd

Verified email at aut.ac.nz - Homepage

Computer Science Artificial Intelligence Neural Networks Neuroinformatics Spiking neural networks


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Foundations of neural networks, fuzzy systems, and knowledge engineering NK Kasabov Marcel Alencar, 1996	1582	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	1389	2002
Evolving connectionist systems: the knowledge engineering approach NK Kasabov Springer Science & Business Media, 2007	809*	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	547	2001
Research methods R Ahuja rawat publications, 2001	439	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	393	1999
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	372	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	326	2013
NeuCube: A spiking neural network architecture for mapping, learning and understanding of spatio-temporal brain data NK Kasabov Neural Networks 52, 62-76, 2014	320	2014
Evolving fuzzy neural networks-algorithms, applications and biological motivation N Kasabov Methodologies for the conception, design and application of soft computing …, 1998	273	1998
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	225	2012
Learning fuzzy rules and approximate reasoning in fuzzy neural networks and hybrid systems NK Kasabov Fuzzy sets and Systems 82 (2), 135-149, 1996	208	1996
Quantum-inspired evolutionary algorithm: A multimodel EDA MD Platel, S Schliebs, N Kasabov IEEE Transactions on Evolutionary Computation 13 (6), 1218-1232, 2008	182	2008
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	182	1997
To spike or not to spike: A probabilistic spiking neuron model N Kasabov Neural Networks 23 (1), 16-19, 2010	166	2010
Evolving spiking neural networks for audiovisual information processing SG Wysoski, L Benuskova, N Kasabov Neural Networks 23 (7), 819-835, 2010	154	2010
On-line pattern analysis by evolving self-organizing maps D Deng, N Kasabov Neurocomputing 51, 87-103, 2003	149	2003
Advances in intelligent systems and computing N Shakhovska Springer International Pu, 2017	142	2017
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	140	2007
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	131	2008

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