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Nikola K. Kasabov :
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Simei Gomes Wysoski , Lubica Benuskova , Nikola K. Kasabov Adaptive Learning Procedure for a Network of Spiking Neurons and Visual Pattern Recognition. [Citation Graph (0, 0)][DBLP ] ACIVS, 2006, pp:1133-1142 [Conf ] Nikola K. Kasabov Hybrid Connectionist Rule-Based Systems. [Citation Graph (0, 0)][DBLP ] AIMSA, 1990, pp:227-235 [Conf ] Nikola K. Kasabov , Daniel Nikovski Prognostic Expert Systems on a Hybrid Connectionist Environment. [Citation Graph (0, 0)][DBLP ] AIMSA, 1992, pp:141-148 [Conf ] Max Bailey , Nikola K. Kasabov , Peter Mason , Andrew R. Gray , Tico Cohen Hybrid Systems for Prediction - A Case Study of Predicting Effluent Flow to a Sewage Plant. [Citation Graph (0, 0)][DBLP ] ANNES, 1995, pp:261-264 [Conf ] Max Bailey , Clive Solomon , Nikola K. Kasabov , Simon Greig Hybrid Systems for Medical Data Analysis and Decision Making - A Case Study on Varicose Vein Disorders . [Citation Graph (0, 0)][DBLP ] ANNES, 1995, pp:265-268 [Conf ] Nikola K. Kasabov , S. Sinclair , Richard Kilgour , C. Watson , Mark R. Laws , Diana Kassabova Intelligent human computer interfaces and the case study of building English-to-Maori talking dictionary. [Citation Graph (0, 0)][DBLP ] ANNES, 1995, pp:294-297 [Conf ] Liang Goh , Qun Song , Nikola K. Kasabov A Novel Feature Selection Method to Improve Classification of Gene Expression Data. [Citation Graph (0, 0)][DBLP ] APBC, 2004, pp:161-166 [Conf ] Nikola K. Kasabov , M. Middlemiss , T. Lane A Generic Connectionist-Based Method for On-Line Feature Selection and Modelling with a Case Study of Gene Expression Data Analysis. [Citation Graph (0, 0)][DBLP ] APBC, 2003, pp:199-202 [Conf ] Nikola K. Kasabov , G. T. Bijev , B. J. Jechev Hierarchical discrete systems and realisation of parallel algorithms. [Citation Graph (0, 0)][DBLP ] CONPAR, 1981, pp:414-422 [Conf ] Nikola K. Kasabov , S. H. Petkov Neural Networks and Logic Programming - a Hybrid Model and its Applicability to Building Expert Systems. [Citation Graph (0, 0)][DBLP ] ECAI, 1992, pp:287-288 [Conf ] Brendon J. Woodford , Nikola K. Kasabov Ensembles of EFuNNs: An Architecture for a Mutlimodule Classifier. [Citation Graph (0, 0)][DBLP ] FUZZ-IEEE, 2001, pp:1573-1576 [Conf ] Da Deng , Nikola K. Kasabov An evolving localised learning model for on-line image colour quantisation. [Citation Graph (0, 0)][DBLP ] ICIP (1), 2001, pp:906-909 [Conf ] Nikola K. Kasabov ECOS: Evolving Connectionist Systems and the ECO Learning Paradigm. [Citation Graph (0, 0)][DBLP ] ICONIP, 1998, pp:1232-1235 [Conf ] Nikola K. Kasabov , Zeke S. H. Chan , Vishal Jain , Igor Sidorov , Dimiter S. Dimitrov Gene Regulatory Network Discovery from Time-Series Gene Expression Data - A Computational Intelligence Approach. [Citation Graph (0, 0)][DBLP ] ICONIP, 2004, pp:1344-1353 [Conf ] Qun Song , Nikola K. Kasabov TWRBF - Transductive RBF Neural Network with Weighted Data Normalization. [Citation Graph (0, 0)][DBLP ] ICONIP, 2004, pp:633-640 [Conf ] Michael J. Watts , Nikola K. Kasabov Genetic Algorithms for the Design of Fuzzy Neural Networks. [Citation Graph (0, 0)][DBLP ] ICONIP, 1998, pp:793-796 [Conf ] Irena Koprinska , Nikola K. Kasabov Evolving Fuzzy Neural Network for Camera Operations Recognition. [Citation Graph (0, 0)][DBLP ] ICPR, 2000, pp:2523-2526 [Conf ] Nikola K. Kasabov Connectionist Fuzzy Production Systems. [Citation Graph (0, 0)][DBLP ] Fuzzy Logic in Artificial Intelligence, 1993, pp:114-128 [Conf ] Da Deng , Nikola K. Kasabov ESOM: An Algorithm to Evolve Self-Organizing Maps from On-Line Data Streams. [Citation Graph (0, 0)][DBLP ] IJCNN (6), 2000, pp:3-8 [Conf ] Nikola K. Kasabov Hybrid Connectionist Fuzzy Systems for Speech Recognition and the Use of Connectionist Production Systems. [Citation Graph (0, 0)][DBLP ] IEEE/Nagoya-University World Wisepersons Workshop, 1994, pp:19-33 [Conf ] Tianmin Ma , Qun Song , Nikola K. Kasabov , Mark Roger Marshall TWNFC - Transductive Neural-Fuzzy Classifier with Weighted Data Normalization and Its Application in Medicine. [Citation Graph (0, 0)][DBLP ] CIMCA/IAWTIC, 2005, pp:479-484 [Conf ] Qun Song , Nikola K. Kasabov , Tianmin Ma , Mark Roger Marshall Integrating regression formulas and kernel functions into locally adaptive knowledge-based neural networks: A case study on renal function evaluation. [Citation Graph (0, 0)][DBLP ] Artificial Intelligence in Medicine, 2006, v:36, n:3, pp:235-244 [Journal ] Nikola K. Kasabov Adaptation and interaction in dynamical systems: Modelling and rule discovery through evolving connectionist systems. [Citation Graph (0, 0)][DBLP ] Appl. Soft Comput., 2006, v:6, n:3, pp:307-322 [Journal ] Zeke S. H. Chan , Lesley Collins , Nikola K. Kasabov An efficient greedy K-means algorithm for global gene trajectory clustering. [Citation Graph (0, 0)][DBLP ] Expert Syst. Appl., 2006, v:30, n:1, pp:137-141 [Journal ] Zeke S. H. Chan , Nikola K. Kasabov , Lesley Collins A two-stage methodology for gene regulatory network extraction from time-course gene expression data. [Citation Graph (0, 0)][DBLP ] Expert Syst. Appl., 2006, v:30, n:1, pp:59-63 [Journal ] Zeke S. H. Chan , Nikola K. Kasabov Evolutionary Computation For On-Line And Off-Line Parameter Tuning Of Evolving Fuzzy Neural Networksc. [Citation Graph (0, 0)][DBLP ] International Journal of Computational Intelligence and Applications, 2004, v:4, n:3, pp:309-0 [Journal ] Nikola K. Kasabov , Hojjat Adeli , Nikhil R. Pal Introduction. [Citation Graph (0, 0)][DBLP ] Int. J. Neural Syst., 2005, v:15, n:1-2, pp:- [Journal ] Lubica Benuskova , Vishal Jain , Simei Gomes Wysoski , Nikola K. Kasabov Computational Neurogenetic Modelling: a Pathway to New Discoveries in Genetic Neuroscience. [Citation Graph (0, 0)][DBLP ] Int. J. Neural Syst., 2006, v:16, n:3, pp:215-226 [Journal ] Da Deng , Nikola K. Kasabov On-line pattern analysis by evolving self-organizing maps. [Citation Graph (0, 0)][DBLP ] Neurocomputing, 2003, v:51, n:, pp:87-103 [Journal ] Nikola K. Kasabov On-line learning, reasoning, rule extraction and aggregation in locally optimized evolving fuzzy neural networks. [Citation Graph (0, 0)][DBLP ] Neurocomputing, 2001, v:41, n:1-4, pp:25-45 [Journal ] Nikola K. Kasabov Adaptable neuro production systems. [Citation Graph (0, 0)][DBLP ] Neurocomputing, 1996, v:13, n:2-4, pp:95-117 [Journal ] Akbar Ghobakhlou , Michael J. Watts , Nikola K. Kasabov Adaptive speech recognition with evolving connectionist systems. [Citation Graph (0, 0)][DBLP ] Inf. Sci., 2003, v:156, n:1-2, pp:71-83 [Journal ] Nikola K. Kasabov Spoken language analysis, modeling and recognition - Cstatistical and adaptive connectionist approaches. [Citation Graph (0, 0)][DBLP ] Inf. Sci., 2003, v:156, n:1-2, pp:1-2 [Journal ] Nikola K. Kasabov , Kaoru Hirota Special Issue on Advanced Neuro-Fuzzy Techniques and Their Applications: Introduction. [Citation Graph (0, 0)][DBLP ] Inf. Sci., 1997, v:101, n:3-4, pp:153-154 [Journal ] Nikola K. Kasabov , Robert Kozma Methods and systems for intelligent human-computer interaction. [Citation Graph (0, 0)][DBLP ] Inf. Sci., 2000, v:123, n:1-2, pp:1-2 [Journal ] Nikola K. Kasabov , Robert Kozma , Michael J. Watts Phoneme-Based Speech Recognition via Fuzzy Neural Networks Modeling and Learning. [Citation Graph (0, 0)][DBLP ] Inf. Sci., 1998, v:110, n:1-2, pp:61-79 [Journal ] Nikola K. Kasabov , Jaesoo Kim , Michael J. Watts , Andrew R. Gray FuNN/2 - A Fuzzy Neural Network Architecture for Adaptive Learning and Knowledge Acquisition. [Citation Graph (0, 0)][DBLP ] Inf. Sci., 1997, v:101, n:3-4, pp:155-175 [Journal ] Nikola K. Kasabov , Eric O. Postma , H. Jaap van den Herik AVIS: a connectionist-based framework for integrated auditory and visual information processing. [Citation Graph (0, 0)][DBLP ] Inf. Sci., 2000, v:123, n:1-2, pp:127-148 [Journal ] Mark R. Laws , Richard Kilgour , Nikola K. Kasabov Modeling the emergence of bilingual acoustic clusters: a preliminary case study. [Citation Graph (0, 0)][DBLP ] Inf. Sci., 2003, v:156, n:1-2, pp:85-107 [Journal ] Nikola K. Kasabov The ECOS Framework and the ECO Learning Method for Evolving Connectionist Systems. [Citation Graph (0, 0)][DBLP ] JACIII, 1998, v:2, n:6, pp:195-202 [Journal ] Nikola K. Kasabov , Steven A. Israel , Brendon J. Woodford The Application of Hybrid Evolving Connectionist Systems to Image Classification. [Citation Graph (0, 0)][DBLP ] JACIII, 2000, v:4, n:1, pp:57-65 [Journal ] Nikola K. Kasabov , Robert Kozma Self-Organization and Adaptation in Intelligent Systems. [Citation Graph (0, 0)][DBLP ] JACIII, 1998, v:2, n:6, pp:177- [Journal ] Nikola K. Kasabov , Jaesoo Kim , Robert Kozma , Tico Cohen Rule Extraction from Fuzzy Neural Networks FuNN: A Method and a Real-World Application. [Citation Graph (0, 0)][DBLP ] JACIII, 2001, v:5, n:4, pp:193-200 [Journal ] Nikola K. Kasabov Fril - Fuzzy and Evidential Reasoning in Artificial Intelligence, by J. F. Baldwin, T. P. Martin, and B. W. Pilsworth. [Citation Graph (0, 0)][DBLP ] JASIS, 1996, v:47, n:10, pp:790-791 [Journal ] Zeke S. H. Chan , Nikola K. Kasabov , Lesley Collins A Hybrid Genetic Algorithm and Expectation Maximization Method for Global Gene Trajectory Clustering. [Citation Graph (0, 0)][DBLP ] J. Bioinformatics and Computational Biology, 2005, v:3, n:5, pp:1227-1242 [Journal ] Liang Goh , Nikola K. Kasabov An Integrated Feature Selection and Classification Method to Select Minimum Number of Variables on the Case Study of Gene Expression Data. [Citation Graph (0, 0)][DBLP ] J. Bioinformatics and Computational Biology, 2005, v:3, n:5, pp:1107-1136 [Journal ] Nikola K. Kasabov , Simon H. Lavington , S. Lin , C. Wang Model for exploiting associative matching in AI production systems. [Citation Graph (0, 0)][DBLP ] Knowl.-Based Syst., 1995, v:8, n:1, pp:14-20 [Journal ] Jaesoo Kim , Nikola K. Kasabov HyFIS: adaptive neuro-fuzzy inference systems and their application to nonlinear dynamical systems. [Citation Graph (0, 0)][DBLP ] Neural Networks, 1999, v:12, n:9, pp:1301-1319 [Journal ] Zeke S. H. Chan , Nikola K. Kasabov A Preliminary Study on Negative Correlation Learning via Correlation-Corrected Data (NCCD). [Citation Graph (0, 0)][DBLP ] Neural Processing Letters, 2005, v:21, n:3, pp:207-214 [Journal ] Qun Song , Nikola K. Kasabov NFI: a neuro-fuzzy inference method for transductive reasoning. [Citation Graph (0, 0)][DBLP ] IEEE T. Fuzzy Systems, 2005, v:13, n:6, pp:799-808 [Journal ] Nikola K. Kasabov Evolving fuzzy neural networks for supervised/unsupervised online knowledge-based learning. [Citation Graph (0, 0)][DBLP ] IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2001, v:31, n:6, pp:902-918 [Journal ] Nikola K. Kasabov , Shaoning Pang Editorial. [Citation Graph (0, 0)][DBLP ] Int. J. Comput. Syst. Signal, 2004, v:5, n:2, pp:1- [Journal ] Akbar Ghobakhlou , Nikola K. Kasabov A Methodology and a System for Adaptive, Integrated Speech and Image Learning and Recognition. [Citation Graph (0, 0)][DBLP ] Int. J. Comput. Syst. Signal, 2004, v:5, n:2, pp:2-16 [Journal ] Spanning SVM Tree for Personalized Transductive Learning. [Citation Graph (, )][DBLP ] Discovering Diagnostic Gene Targets and Early Diagnosis of Acute GVHD Using Methods of Computational Intelligence over Gene Expression Data. [Citation Graph (, )][DBLP ] Integrative Probabilistic Evolving Spiking Neural Networks Utilising Quantum Inspired Evolutionary Algorithm: A Computational Framework. [Citation Graph (, )][DBLP ] Evolving Brain-Gene Ontology System (EBGOS): Towards Integrating Bioinformatics and Neuroinformatics Data to Facilitate Discoveries. [Citation Graph (, )][DBLP ] Computational Neurogenetic Modeling: A Methodology to Study Gene Interactions Underlying Neural Oscillations. [Citation Graph (, )][DBLP ] r-SVMT: Discovering the knowledge of association rule over SVM classification trees. [Citation Graph (, )][DBLP ] Evolving spiking neural networks for taste recognition. [Citation Graph (, )][DBLP ] An adaptive model of person identification combining speech and image information. [Citation Graph (, )][DBLP ] Soft computing methods to predict gene regulatory networks: An integrative approach on time-series gene expression data. [Citation Graph (, )][DBLP ] Search in 0.182secs, Finished in 0.184secs