Nikola K. Kasabov

Nikola Kasabov

	2012
168		Shaoning Pang, Tao Ban, Youki Kadobayashi, Nikola K. Kasabov: LDA Merging and Splitting With Applications to Multiagent Cooperative Learning and System Alteration. IEEE Transactions on Systems, Man, and Cybernetics, Part B 42(2): 552-564 (2012)
	2011
167		Ammar Mohemmed, Stefan Schliebs, Satoshi Matsuda, Nikola Kasabov: Method for Training a Spiking Neuron to Associate Input-Output Spike Trains. EANN/AIAI (1) 2011: 219-228
166		Wen Liang, Yingjie Hu, Nikola Kasabov, Valery Feigin: Exploring Associations between Changes in Ambient Temperature and Stroke Occurrence: Comparative Analysis Using Global and Personalised Modelling Approaches. ICONIP (1) 2011: 129-137
165		Nuttapod Nuntalid, Kshitij Dhoble, Nikola Kasabov: EEG Classification with BSA Spike Encoding Algorithm and Evolving Probabilistic Spiking Neural Network. ICONIP (1) 2011: 451-460
164		Yingjie Hu, Nikola Kasabov: Personalised Modelling on SNPs Data for Crohn's Disease Prediction. ICONIP (1) 2011: 646-653
163		Stefan Schliebs, Haza Nuzly Abdull Hamed, Nikola Kasabov: Reservoir-Based Evolving Spiking Neural Network for Spatio-temporal Pattern Recognition. ICONIP (2) 2011: 160-168
162		Ammar Mohemmed, Stefan Schliebs, Nikola Kasabov: SPAN: A Neuron for Precise-Time Spike Pattern Association. ICONIP (2) 2011: 718-725
161		Nikola Kasabov, Kshitij Dhoble, Nuttapod Nuntalid, Ammar Mohemmed: Evolving Probabilistic Spiking Neural Networks for Spatio-temporal Pattern Recognition: A Preliminary Study on Moving Object Recognition. ICONIP (3) 2011: 230-239
160		Haza Nuzly Abdull Hamed, Nikola Kasabov, Siti Mariyam Shamsuddin, Harya Widiputra, Kshitij Dhoble: An extended Evolving Spiking Neural Network model for spatio-temporal pattern classification. IJCNN 2011: 2653-2656
159		Ammar Mohemmed, Satoshi Matsuda, Stefan Schliebs, Kshitij Dhoble, Nikola Kasabov: Optimization of Spiking Neural Networks with dynamic synapses for spike sequence generation using PSO. IJCNN 2011: 2969-2974
158		Stefan Schliebs, Ammar Mohemmed, Nikola Kasabov: Are probabilistic spiking neural networks suitable for reservoir computing? IJCNN 2011: 3156-3163
157		Harya Widiputra, Russel Pears, Nikola Kasabov: Multiple Time-Series Prediction through Multiple Time-Series Relationships Profiling and Clustered Recurring Trends. PAKDD (2) 2011: 161-172
156		Harya Widiputra, Russel Pears, Nikola Kasabov: Dynamic Interaction Networks versus Local Trend Models for Multiple Time-Series Prediction. Cybernetics and Systems 42(2): 100-123 (2011)
155		Yaochu Jin, Yan Meng, Juyang Weng, Nikola Kasabov: Guest Editorial Special Issue on Computational Modeling of Neural and Brain Development. IEEE T. Autonomous Mental Development 3(4): 273-275 (2011)
154		Nikola Kasabov, Reinhard Schliebs, Hiroshi Kojima: Probabilistic Computational Neurogenetic Modeling: From Cognitive Systems to Alzheimer's Disease. IEEE T. Autonomous Mental Development 3(4): 300-311 (2011)
153		Shaoning Pang, Tao Ban, Youki Kadobayashi, Nikola Kasabov: Personalized mode transductive spanning SVM classification tree. Inf. Sci. 181(11): 2071-2085 (2011)
152		Shaoning Pang, Lei Song, Nikola K. Kasabov: Correlation-aided support vector regression for forex time series prediction. Neural Computing and Applications 20(8): 1193-1203 (2011)
	2010
151		Stefan Schliebs, Nuttapod Nuntalid, Nikola Kasabov: Towards Spatio-Temporal Pattern Recognition Using Evolving Spiking Neural Networks. ICONIP (1) 2010: 163-170
150		Ye Chen, Shaoning Pang, Nikola Kasabov: Factorizing Class Characteristics via Group MEBs Construction. ICONIP (2) 2010: 283-290
149		Nuwan Gunasekara, Shaoning Pang, Nikola Kasabov: Tuning N-gram String Kernel SVMs via Meta Learning. ICONIP (2) 2010: 91-98
148		Stefan Schliebs, Michael Defoin-Platel, Nikola Kasabov: Analyzing the dynamics of the simultaneous feature and parameter optimization of an evolving Spiking Neural Network. IJCNN 2010: 1-8
147		Shaoning Pang, Tao Ban, Youki Kadobayashi, Nikola Kasabov: Incremental and decremental LDA learning with applications. IJCNN 2010: 1-8
146		Nikola Kasabov: Evolving Integrative Brain-, Gene-, and Quantum Inspired Systems for Computational Intelligence and Knowledge Engineering. KES (1) 2010: 1
145		Nikola Kasabov: Integrative Probabilistic Evolving Spiking Neural Networks Utilising Quantum Inspired Evolutionary Algorithm: A Computational Framework. Advances in Machine Learning II 2010: 415-425
144		Simei Gomes Wysoski, Lubica Benuskova, Nikola Kasabov: Brain-Like Evolving Spiking Neural Networks for Multimodal Information Processing. Brain-Inspired Information Technology 2010: 15-27
143		Naoki Shimo, Shaoning Pang, Keiichi Horio, Nikola Kasabov, Hakaru Tamukoh, Takanori Koga, Satoshi Sonoh, Hirohisa Isogai, Takeshi Yamakawa: Effective and Adaptive Learning Based on Diversive/Specific Curiosity. Brain-Inspired Information Technology 2010: 171-175
142		Nikola Kasabov, Yingjie Hu: Integrated optimisation method for personalised modelling and case studies for medical decision support. I. J. Functional Informatics and Personalised Medicine 3(3): 236-256 (2010)
141		Snjezana Soltic, Nikola K. Kasabov: Knowledge Extraction from Evolving Spiking Neural Networks with Rank Order Population Coding. Int. J. Neural Syst. 20(6): 437-445 (2010)
140		Stefan Schliebs, Nikola Kasabov, Michael Defoin-Platel: On the Probabilistic Optimization of Spiking Neural Networks. Int. J. Neural Syst. 20(6): 481-500 (2010)
139		Nikola Kasabov: To spike or not to spike: A probabilistic spiking neuron model. Neural Networks 23(1): 16-19 (2010)
138		Simei Gomes Wysoski, Lubica Benuskova, Nikola Kasabov: Evolving spiking neural networks for audiovisual information processing. Neural Networks 23(7): 819-835 (2010)
	2009
137		Mario Köppen, Nikola K. Kasabov, George G. Coghill: Advances in Neuro-Information Processing, 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part I Springer 2009
136		Mario Köppen, Nikola K. Kasabov, George G. Coghill: Advances in Neuro-Information Processing, 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part II Springer 2009
135		Shaoning Pang, Tao Ban, Youki Kadobayashi, Nikola K. Kasabov: Spanning SVM Tree for Personalized Transductive Learning. ICANN (1) 2009: 913-922
134		Maurizio Fiasché, Anju Verma, Maria Cuzzola, Pasquale Iacopino, Nikola K. Kasabov, Francesco Carlo Morabito: Discovering Diagnostic Gene Targets and Early Diagnosis of Acute GVHD Using Methods of Computational Intelligence over Gene Expression Data. ICANN (2) 2009: 10-19
133		Harya Widiputra, Henry Kho, Lukas, Russel Pears, Nikola Kasabov: A Novel Evolving Clustering Algorithm with Polynomial Regression for Chaotic Time-Series Prediction. ICONIP (2) 2009: 114-121
132		Anju Verma, Maurizio Fiasché, Maria Cuzzola, Pasquale Iacopino, Francesco Carlo Morabito, Nikola Kasabov: Ontology Based Personalized Modeling for Type 2 Diabetes Risk Analysis: An Integrated Approach. ICONIP (2) 2009: 360-366
131		Yingjie Hu, Nikola Kasabov: Coevolutionary Method for Gene Selection and Parameter Optimization in Microarray Data Analysis. ICONIP (2) 2009: 483-492
130		Ye Chen, Shaoning Pang, Nikola Kasabov, Tao Ban, Youki Kadobayashi: Hierarchical Core Vector Machines for Network Intrusion Detection. ICONIP (2) 2009: 520-529
129		Zbynek Michlovský, Shaoning Pang, Nikola Kasabov, Tao Ban, Youki Kadobayashi: String Kernel Based SVM for Internet Security Implementation. ICONIP (2) 2009: 530-539
128		Haza Nuzly Abdull Hamed, Nikola Kasabov, Zbynek Michlovský, Siti Mariyam Hj. Shamsuddin: String Pattern Recognition Using Evolving Spiking Neural Networks and Quantum Inspired Particle Swarm Optimization. ICONIP (2) 2009: 611-619
127		Seiichi Ozawa, Yuki Kawashima, Shaoning Pang, Nikola Kasabov: Adaptive incremental principal component analysis in nonstationary online learning environments. IJCNN 2009: 2394-2400
126		Shaoning Pang, Seiichi Ozawa, Nikola K. Kasabov: Curiosity driven incremental LDA agent active learning. IJCNN 2009: 2401-2408
125		Stefan Schliebs, Michael Defoin-Platel, Susan P. Worner, Nikola Kasabov: Quantum-inspired feature and parameter optimisation of evolving spiking neural networks with a case study from ecological modeling. IJCNN 2009: 2833-2840
124		Haza Nuzly Abdull Hamed, Nikola Kasabov, Siti Mariyam Shamsuddin: Integrated Feature Selection and Parameter Optimization for Evolving Spiking Neural Networks Using Quantum Inspired Particle Swarm Optimization. SoCPaR 2009: 695-698
123		Michael Defoin-Platel, Stefan Schliebs, Nikola Kasabov: Quantum-Inspired Evolutionary Algorithm: A Multimodel EDA. IEEE Trans. Evolutionary Computation 13(6): 1218-1232 (2009)
122		Harya Widiputra, Russel Pears, Antoaneta Serguieva, Nikola Kasabov: Dynamic interaction networks in modelling and predicting the behaviour of multiple interactive stock markets. Int. Syst. in Accounting, Finance and Management 16(1-2): 189-205 (2009)
121		Shaoning Pang, Nikola K. Kasabov: Encoding and decoding the knowledge of association rules over SVM classification trees. Knowl. Inf. Syst. 19(1): 79-105 (2009)
120		Nikola Kasabov: Integrative connectionist learning systems inspired by nature: current models, future trends and challenges. Natural Computing 8(2): 199-218 (2009)
119		Stefan Schliebs, Michael Defoin-Platel, Susan P. Worner, Nikola K. Kasabov: Integrated feature and parameter optimization for an evolving spiking neural network: Exploring heterogeneous probabilistic models. Neural Networks 22(5-6): 623-632 (2009)
	2008
118		Yuan-Chun Hwang, Qun Song, Nikola K. Kasabov: MUFIS: A neuro-fuzzy inference system using multiple types of fuzzy rules. FUZZ-IEEE 2008: 1411-1414
117		Masayuki Hisada, Seiichi Ozawa, Kau Zhang, Shaoning Pang, Nikola Kasabov: A Novel Incremental Linear Discriminant Analysis for Multitask Pattern Recognition Problems. ICONIP (1) 2008: 1163-1171
116		Seiichi Ozawa, Kazuya Matsumoto, Shaoning Pang, Nikola Kasabov: Incremental Principal Component Analysis Based on Adaptive Accumulation Ratio. ICONIP (1) 2008: 1196-1203
115		Anju Verma, Nikola Kasabov, Elaine Rush, Qun Song: Ontology Based Personalized Modeling for Chronic Disease Risk Analysis: An Integrated Approach. ICONIP (1) 2008: 1204-1210
114		Yingjie Hu, Qun Song, Nikola Kasabov: Personalized Modeling Based Gene Selection for Microarray Data Analysis. ICONIP (1) 2008: 1221-1228
113		Stefan Schliebs, Michael Defoin-Platel, Nikola Kasabov: Integrated Feature and Parameter Optimization for an Evolving Spiking Neural Network. ICONIP (1) 2008: 1229-1236
112		Harya Widiputra, Russel Pears, Nikola Kasabov: Personalised Modelling for Multiple Time-Series Data Prediction: A Preliminary Investigation in Asia Pacific Stock Market Indexes Movement. ICONIP (1) 2008: 1237-1244
111		Nikola K. Kasabov: Integrative Probabilistic Evolving Spiking Neural Networks Utilising Quantum Inspired Evolutionary Algorithm: A Computational Framework. ICONIP (1) 2008: 3-13
110		Sean W. Gordon, Shaoning Pang, Ryota Nishioka, Nikola Kasabov, Takeshi Yamakawa: Vision Based Mobile Robot for Indoor Environmental Security. ICONIP (1) 2008: 962-969
109		Snjezana Soltic, Simei Gomes Wysoski, Nikola K. Kasabov: Evolving spiking neural networks for taste recognition. IJCNN 2008: 2091-2097
108		Shaoning Pang, Nikola K. Kasabov: r-SVMT: Discovering the knowledge of association rule over SVM classification trees. IJCNN 2008: 2486-2493
107		Nikola Kasabov, Qun Song, Lubica Benuskova, Paulo C. M. Gottgtroy, Vishal Jain, Anju Verma, Ilkka Havukkala, Elaine Rush, Russel Pears, Alex Tjahjana, Yingjie Hu, Stephen G. MacDonell: Integrating Local and Personalised Modelling with Global Ontology Knowledge Bases for Biomedical and Bioinformatics Decision Support. Computational Intelligence in Biomedicine and Bioinformatics 2008: 93-116
106		Nikola K. Kasabov, Vishal Jain, Lubica Benuskova, Paulo C. M. Gottgtroy, Frances Joseph: Integration of Brain-Gene Ontology and Simulation Systems for Learning, Modelling and Discovery. Computational Intelligence in Medical Informatics 2008: 221-234
105		Shaoning Pang, Nikola K. Kasabov: SVMT-Rule: Association Rule Mining Over SVM Classification Trees. Rule Extraction from Support Vector Machines 2008: 135-162
104		Zeke S. H. Chan, Ilkka Havukkala, Vishal Jain, Yingjie Hu, Nikola K. Kasabov: Soft computing methods to predict gene regulatory networks: An integrative approach on time-series gene expression data. Appl. Soft Comput. 8(3): 1189-1199 (2008)
103		Plamen P. Angelov, Dimitar Filev, Nikola K. Kasabov: Guest Editorial Evolving Fuzzy Systems - Preface to the Special Section. IEEE T. Fuzzy Systems 16(6): 1390-1392 (2008)
102		Seiichi Ozawa, Shaoning Pang, Nikola K. Kasabov: Incremental Learning of Chunk Data for Online Pattern Classification Systems. IEEE Transactions on Neural Networks 19(6): 1061-1074 (2008)
101		Nikola Kasabov: Adaptive modeling and discovery in bioinformatics: The evolving connectionist approach. Int. J. Intell. Syst. 23(5): 545-555 (2008)
100		Nikola K. Kasabov, Vishal Jain, Lubica Benuskova: Integrating evolving brain-gene ontology and connectionist-based system for modeling and knowledge discovery. Neural Networks 21(2-3): 266-275 (2008)
	2007
99		Andreas König, Mario Köppen, Nikola Kasabov, Ajith Abraham: 7th International Conference on Hybrid Intelligent Systems (HIS 2007), September 17-19, 2007, Kaiserslautern, Germany IEEE Computer Society 2007
98		Nikola Kasabov: Evolving connectionist systems - the knowledge engineering approach (2. ed.). Springer 2007: I-XXI, 1-457
97		Nikola Kasabov: Evolving Connectionist and Hybrid Systems: Methods, Tools, Applications. HIS 2007: 3
96		Simei Gomes Wysoski, Lubica Benuskova, Nikola Kasabov: Text-Independent Speaker Authentication with Spiking Neural Networks. ICANN (2) 2007: 758-767
95		Seiichi Ozawa, Shaoning Pang, Nikola Kasabov: Adaptive Face Recognition System Using Fast Incremental Principal Component Analysis. ICONIP (2) 2007: 396-405
94		Simei Gomes Wysoski, Lubica Benuskova, Nikola Kasabov: Adaptive Spiking Neural Networks for Audiovisual Pattern Recognition. ICONIP (2) 2007: 406-415
93		Boris Bacic, Nikola Kasabov, Stephen G. MacDonell, Shaoning Pang: Evolving Connectionist Systems for Adaptive Sport Coaching. ICONIP (2) 2007: 416-425
92		Yingjie Hu, Nikola Kasabov: Ontology-Based Framework for Personalized Diagnosis and Prognosis of Cancer Based on Gene Expression Data. ICONIP (2) 2007: 846-855
91		Michael Defoin-Platel, Stefan Schliebs, Nikola Kasabov: A versatile quantum-inspired evolutionary algorithm. IEEE Congress on Evolutionary Computation 2007: 423-430
90		Nikola K. Kasabov, Vishal Jain, Paulo C. M. Gottgtroy, Lubica Benuskova, Simei Gomes Wysoski, Frances Joseph: Evolving Brain-Gene Ontology System (EBGOS): Towards Integrating Bioinformatics and Neuroinformatics Data to Facilitate Discoveries. IJCNN 2007: 131-135
89		Nikola Kasabov: Brain-, Gene-, and Quantum Inspired Computational Intelligence: Challenges and Opportunities. Challenges for Computational Intelligence 2007: 193-219
88		Zeke S. H. Chan, Lesley Collins, Nikola K. Kasabov: Bayesian learning of sparse gene regulatory networks. Biosystems 87(2-3): 299-306 (2007)
87		Nikola Kasabov, Vishal Jain, Paulo C. M. Gottgtroy, Lubica Benuskova, Frances Joseph: Brain Gene Ontology and Simulation System (bgos) for a Better Understanding of the Brain. Cybernetics and Systems 38(5): 495-508 (2007)
86		Shaoning Pang, Ilkka Havukkala, Yingjie Hu, Nikola Kasabov: Classification consistency analysis for bootstrapping gene selection. Neural Computing and Applications 16(6): 527-539 (2007)
85		Lubica Benuskova, Nikola Kasabov: Modeling L-LTP based on changes in concentration of pCREB transcription factor. Neurocomputing 70(10-12): 2035-2040 (2007)
84		Nikola Kasabov: Global, local and personalised modeling and pattern discovery in bioinformatics: An integrated approach. Pattern Recognition Letters 28(6): 673-685 (2007)
	2006
83		Nikola Kasabov, Mario Köppen, Andreas König, Ajith Abraham, Qun Song: 6th International Conference on Hybrid Intelligent Systems (HIS 2006), 13-15 December 2006, Auckland, New Zealand IEEE Computer Society 2006
82		Simei Gomes Wysoski, Lubica Benuskova, Nikola K. Kasabov: Adaptive Learning Procedure for a Network of Spiking Neurons and Visual Pattern Recognition. ACIVS 2006: 1133-1142
81		Qun Song, Tianmin Ma, Nikola Kasabov: TTLSC - Transductive Total Least Square Model for Classification and Its Application in Medicine. ADMA 2006: 197-204
80		Nikola Kasabov, Vishal Jain, Paulo C. M. Gottgtroy, Lubica Benuskova, Frances Joseph: Brain-Gene Ontology: Integrating Bioinformatics and Neuroinformatics Data, Information and Knowledge to Enable Discoveries. HIS 2006: 13
79		Simei Gomes Wysoski, Lubica Benuskova, Nikola Kasabov: On-Line Learning with Structural Adaptation in a Network of Spiking Neurons for Visual Pattern Recognition. ICANN (1) 2006: 61-70
78		Lubica Benuskova, Simei Gomes Wysoski, Nikola K. Kasabov: Computational Neurogenetic Modeling: A Methodology to Study Gene Interactions Underlying Neural Oscillations. IJCNN 2006: 4638-4644
77		Shaoning Pang, Nikola Kasabov: Investigating LLE Eigenface on Pose and Face Identification. ISNN (2) 2006: 134-139
76		Shaoning Pang, Ilkka Havukkala, Nikola Kasabov: Two-Class SVM Trees (2-SVMT) for Biomarker Data Analysis. ISNN (2) 2006: 629-634
75		Ilkka Havukkala, Lubica Benuskova, Shaoning Pang, Vishal Jain, Rene Kroon, Nikola Kasabov: Image and Fractal Information Processing for Large-Scale Chemoinformatics, Genomics Analyses and Pattern Discovery. PRIB 2006: 163-173
74		Nikola K. Kasabov: Adaptation and interaction in dynamical systems: Modelling and rule discovery through evolving connectionist systems. Appl. Soft Comput. 6(3): 307-322 (2006)
73		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. Artificial Intelligence in Medicine 36(3): 235-244 (2006)
72		Zeke S. H. Chan, Lesley Collins, Nikola K. Kasabov: An efficient greedy K-means algorithm for global gene trajectory clustering. Expert Syst. Appl. 30(1): 137-141 (2006)
71		Zeke S. H. Chan, Nikola K. Kasabov, Lesley Collins: A two-stage methodology for gene regulatory network extraction from time-course gene expression data. Expert Syst. Appl. 30(1): 59-63 (2006)
70		Lubica Benuskova, Vishal Jain, Simei Gomes Wysoski, Nikola K. Kasabov: Computational Neurogenetic Modelling: a Pathway to New Discoveries in Genetic Neuroscience. Int. J. Neural Syst. 16(3): 215-226 (2006)
69		Seiichi Ozawa, Shaoning Pang, Nikola K. Kasabov: Incremental learning of feature space and classifier for on-line pattern recognition. KES Journal 10(1): 57-65 (2006)
68		Qun Song, Nikola Kasabov: TWNFI - a transductive neuro-fuzzy inference system with weighted data normalization for personalized modeling. Neural Networks 19(10): 1591-1596 (2006)
	2005
67		Mike Barley, Nikola K. Kasabov: Intelligent Agents and Multi-Agent Systems, 7th Pacific Rim International Workshop on Multi-Agents, PRIMA 2004, Auckland, New Zealand, August 8-13, 2004, Revised Selected Papers Springer 2005
66		Tianmin Ma, Qun Song, Nikola K. Kasabov, Mark Roger Marshall: TWNFC - Transductive Neural-Fuzzy Classifier with Weighted Data Normalization and Its Application in Medicine. CIMCA/IAWTIC 2005: 479-484
65		Qun Song, Tianmin Ma, Nikola Kasabov: Transductive Knowledge Based Fuzzy Inference System for Personalized Modeling. FSKD (2) 2005: 528-535
64		Nikola Kasabov, Lubica Benuskova, Simei Gomes Wysoski: Computational Neurogenetic Modeling: Integration of Spiking Neural Networks, Gene Networks, and Signal Processing Techniques. ICANN (2) 2005: 509-514
63		Shaoning Pang, Seiichi Ozawa, Nikola Kasabov: Chunk Incremental LDA Computing on Data Streams. ISNN (2) 2005: 51-56
62		Qun Song, Nikola K. Kasabov: NFI: a neuro-fuzzy inference method for transductive reasoning. IEEE T. Fuzzy Systems 13(6): 799-808 (2005)
61		Zeke S. H. Chan, Nikola Kasabov: Fast neural network ensemble learning via negative-correlation data correction. IEEE Transactions on Neural Networks 16(6): 1707-1710 (2005)
60		Shaoning Pang, Seiichi Ozawa, Nikola Kasabov: Incremental linear discriminant analysis for classification of data streams. IEEE Transactions on Systems, Man, and Cybernetics, Part B 35(5): 905-914 (2005)
59		Nikola K. Kasabov, Hojjat Adeli, Nikhil R. Pal: Introduction. Int. J. Neural Syst. 15(1-2): (2005)
58		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. J. Bioinformatics and Computational Biology 3(5): 1107-1136 (2005)
57		Zeke S. H. Chan, Nikola K. Kasabov, Lesley Collins: A Hybrid Genetic Algorithm and Expectation Maximization Method for Global Gene Trajectory Clustering. J. Bioinformatics and Computational Biology 3(5): 1227-1242 (2005)
56		Seiichi Ozawa, Soon Lee Toh, Shigeo Abe, Shaoning Pang, Nikola Kasabov: Incremental learning of feature space and classifier for face recognition. Neural Networks 18(5-6): 575-584 (2005)
55		Zeke S. H. Chan, Nikola K. Kasabov: A Preliminary Study on Negative Correlation Learning via Correlation-Corrected Data (NCCD). Neural Processing Letters 21(3): 207-214 (2005)
	2004
54		Nikhil R. Pal, Nikola Kasabov, Rajani K. Mudi, Srimanta Pal, Swapan K. Parui: Neural Information Processing, 11th International Conference, ICONIP 2004, Calcutta, India, November 22-25, 2004, Proceedings Springer 2004
53		Liang Goh, Qun Song, Nikola K. Kasabov: A Novel Feature Selection Method to Improve Classification of Gene Expression Data. APBC 2004: 161-166
52		Nikola Kasabov: Discovering Rules of Adaptation and Interaction: From Molecules and Gene Interaction to Brain Functions. HIS 2004: 3
51		David Zhang, Akbar Ghobakhlou, Nikola K. Kasabov: An adaptive model of person identification combining speech and image information. ICARCV 2004: 413-418
50		Shaoning Pang, Seiichi Ozawa, Nikola Kasabov: One-Pass Incremental Membership Authentication by Face Classification. ICBA 2004: 155-161
49		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. ICONIP 2004: 1344-1353
48		Akbar Ghobakhlou, David Zhang, Nikola Kasabov: An Evolving Neural Network Model for Person Verification Combining Speech and Image. ICONIP 2004: 381-386
47		Qun Song, Nikola K. Kasabov: TWRBF - Transductive RBF Neural Network with Weighted Data Normalization. ICONIP 2004: 633-640
46		Snjezana Soltic, Shaoning Pang, Nikola Kasabov, Susan P. Worner, Lora Peacock: Dynamic Neuro-fuzzy Inference and Statistical Models for Risk Analysis of Pest Insect Establishment. ICONIP 2004: 971-976
45		Seiichi Ozawa, Shaoning Pang, Nikola Kasabov: A Modified Incremental Principal Component Analysis for On-Line Learning of Feature Space and Classifier. PRICAI 2004: 231-240
44		Nikola K. Kasabov, Shaoning Pang: Editorial. Int. J. Comput. Syst. Signal 5(2): 1 (2004)
43		Akbar Ghobakhlou, Nikola K. Kasabov: A Methodology and a System for Adaptive, Integrated Speech and Image Learning and Recognition. Int. J. Comput. Syst. Signal 5(2): 2-16 (2004)
42		Zeke S. H. Chan, Nikola K. Kasabov: Evolutionary Computation For On-Line And Off-Line Parameter Tuning Of Evolving Fuzzy Neural Networksc. International Journal of Computational Intelligence and Applications 4(3): 309- (2004)
	2003
41		Nikola K. Kasabov, Melanie Middlemiss, T. Lane: A Generic Connectionist-Based Method for On-Line Feature Selection and Modelling with a Case Study of Gene Expression Data Analysis. APBC 2003: 199-202
40		Matthias E. Futschik, Anthony Reeve, Nikola Kasabov: Evolving connectionist systems for knowledge discovery from gene expression data of cancer tissue. Artificial Intelligence in Medicine 28(2): 165-189 (2003)
39		Lorenzo Rizzi, Flavio Bazzana, Nikola Kasabov, Mario Fedrizzi, Luca Erzegovesi: Simulation of ECB decisions and forecast of short term Euro rate with an adaptive fuzzy expert system. European Journal of Operational Research 145(2): 363-381 (2003)
38		Nikola K. Kasabov: Spoken language analysis, modeling and recognition - Cstatistical and adaptive connectionist approaches. Inf. Sci. 156(1-2): 1-2 (2003)
37		Waleed H. Abdulla, Nikola Kasabov: Reduced feature-set based parallel CHMM speech recognition systems. Inf. Sci. 156(1-2): 21-38 (2003)
36		Akbar Ghobakhlou, Michael J. Watts, Nikola K. Kasabov: Adaptive speech recognition with evolving connectionist systems. Inf. Sci. 156(1-2): 71-83 (2003)
35		Mark R. Laws, Richard Kilgour, Nikola K. Kasabov: Modeling the emergence of bilingual acoustic clusters: a preliminary case study. Inf. Sci. 156(1-2): 85-107 (2003)
34		Da Deng, Nikola K. Kasabov: On-line pattern analysis by evolving self-organizing maps. Neurocomputing 51: 87-103 (2003)
	2001
33		Brendon J. Woodford, Nikola K. Kasabov: Ensembles of EFuNNs: An Architecture for a Mutlimodule Classifier. FUZZ-IEEE 2001: 1573-1576
32		Da Deng, Nikola K. Kasabov: An evolving localised learning model for on-line image colour quantisation. ICIP (1) 2001: 906-909
31		Nikola K. Kasabov: Evolving fuzzy neural networks for supervised/unsupervised online knowledge-based learning. IEEE Transactions on Systems, Man, and Cybernetics, Part B 31(6): 902-918 (2001)
30		Nikola K. Kasabov, Jaesoo Kim, Robert Kozma, Tico Cohen: Rule Extraction from Fuzzy Neural Networks FuNN: A Method and a Real-World Application. JACIII 5(4): 193-200 (2001)
29		Nikola K. Kasabov: On-line learning, reasoning, rule extraction and aggregation in locally optimized evolving fuzzy neural networks. Neurocomputing 41(1-4): 25-45 (2001)
	2000
28		Irena Koprinska, Nikola K. Kasabov: Evolving Fuzzy Neural Network for Camera Operations Recognition. ICPR 2000: 2523-2526
27		Nikola Kasabov, Georgi Iliev: Hybrid System for Robust Recognition of Noisy Speech Based on Evolving Fuzzy Neural Networks and Adaptive Filtering. IJCNN (5) 2000: 91-96
26		Da Deng, Nikola K. Kasabov: ESOM: An Algorithm to Evolve Self-Organizing Maps from On-Line Data Streams. IJCNN (6) 2000: 3-8
25		Nikola K. Kasabov, Robert Kozma: Methods and systems for intelligent human-computer interaction. Inf. Sci. 123(1-2): 1-2 (2000)
24		Nikola K. Kasabov, Eric O. Postma, H. Jaap van den Herik: AVIS: a connectionist-based framework for integrated auditory and visual information processing. Inf. Sci. 123(1-2): 127-148 (2000)
23		Nikola K. Kasabov, Steven A. Israel, Brendon J. Woodford: The Application of Hybrid Evolving Connectionist Systems to Image Classification. JACIII 4(1): 57-65 (2000)
	1999
22		Jaesoo Kim, Nikola K. Kasabov: HyFIS: adaptive neuro-fuzzy inference systems and their application to nonlinear dynamical systems. Neural Networks 12(9): 1301-1319 (1999)
	1998
21		Nikola Kasabov: Evolving Connectionist Systems and Evolving Brains. ICONIP 1998: 12-13
20		Nikola K. Kasabov: ECOS: Evolving Connectionist Systems and the ECO Learning Paradigm. ICONIP 1998: 1232-1235
19		Michael J. Watts, Nikola K. Kasabov: Genetic Algorithms for the Design of Fuzzy Neural Networks. ICONIP 1998: 793-796
18		Nikola K. Kasabov, Robert Kozma, Michael J. Watts: Phoneme-Based Speech Recognition via Fuzzy Neural Networks Modeling and Learning. Inf. Sci. 110(1-2): 61-79 (1998)
17		Nikola K. Kasabov, Robert Kozma: Self-Organization and Adaptation in Intelligent Systems. JACIII 2(6): 177 (1998)
16		Nikola K. Kasabov: The ECOS Framework and the ECO Learning Method for Evolving Connectionist Systems. JACIII 2(6): 195-202 (1998)
	1997
15		Nikola K. Kasabov, Kaoru Hirota: Special Issue on Advanced Neuro-Fuzzy Techniques and Their Applications: Introduction. Inf. Sci. 101(3-4): 153-154 (1997)
14		Nikola K. Kasabov, Jaesoo Kim, Michael J. Watts, Andrew R. Gray: FuNN/2 - A Fuzzy Neural Network Architecture for Adaptive Learning and Knowledge Acquisition. Inf. Sci. 101(3-4): 155-175 (1997)
13		Steven A. Israel, Nikola K. Kasabov: Statistical, connectionist, and fuzzy inference techniques for image classification. J. Electronic Imaging 6(3): 337-347 (1997)
	1996
12		Nikola K. Kasabov: Fril - Fuzzy and Evidential Reasoning in Artificial Intelligence, by J. F. Baldwin, T. P. Martin, and B. W. Pilsworth. JASIS 47(10): 790-791 (1996)
11		Nikola K. Kasabov: Adaptable neuro production systems. Neurocomputing 13(2-4): 95-117 (1996)
	1995
10		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. ANNES 1995: 261-264
9		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 . ANNES 1995: 265-268
8		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. ANNES 1995: 294-297
7		Nikola K. Kasabov, Simon H. Lavington, S. Lin, C. Wang: Model for exploiting associative matching in AI production systems. Knowl.-Based Syst. 8(1): 14-20 (1995)
	1994
6		Nikola K. Kasabov: Hybrid Connectionist Fuzzy Systems for Speech Recognition and the Use of Connectionist Production Systems. IEEE/Nagoya-University World Wisepersons Workshop 1994: 19-33
	1993
5		Nikola K. Kasabov: Connectionist Fuzzy Production Systems. Fuzzy Logic in Artificial Intelligence 1993: 114-128
	1992
4		Nikola K. Kasabov, Daniel Nikovski: Prognostic Expert Systems on a Hybrid Connectionist Environment. AIMSA 1992: 141-148
3		Nikola K. Kasabov, S. H. Petkov: Neural Networks and Logic Programming - a Hybrid Model and its Applicability to Building Expert Systems. ECAI 1992: 287-288
	1990
2		Nikola K. Kasabov: Hybrid Connectionist Rule-Based Systems. AIMSA 1990: 227-235
	1981
1		Nikola K. Kasabov, G. T. Bijev, B. J. Jechev: Hierarchical discrete systems and realisation of parallel algorithms. CONPAR 1981: 414-422

Coauthor Index

1	Waleed H. Abdulla	[37]
2	Shigeo Abe	[56]
3	Ajith Abraham	[83] [99]
4	Hojjat Adeli	[59]
5	Plamen P. Angelov	[103]
6	Boris Bacic	[93]
7	Max Bailey	[9] [10]
8	Tao Ban	[129] [130] [135] [147] [153] [168]
9	Mike Barley (Michael W. Barley)	[67]
10	Flavio Bazzana	[39]
11	Lubica Benusková (Lubica Benuskova)	[64] [70] [75] [78] [79] [80] [82] [85] [87] [90] [94] [96] [100] [106] [107] [138] [144]
12	G. T. Bijev	[1]
13	Zeke S. H. Chan	[42] [49] [55] [57] [61] [71] [72] [88] [104]
14	Ye Chen	[130] [150]
15	George G. Coghill	[136] [137]
16	Tico Cohen	[10] [30]
17	Lesley Collins	[57] [71] [72] [88]
18	Maria Cuzzola	[132] [134]
19	Michael Defoin-Platel	[91] [113] [119] [123] [125] [140] [148]
20	Da Deng	[26] [32] [34]
21	Kshitij Dhoble	[159] [160] [161] [165]
22	Dimiter S. Dimitrov	[49]
23	Luca Erzegovesi	[39]
24	Mario Fedrizzi	[39]
25	Valery Feigin	[166]
26	Maurizio Fiasché	[132] [134]
27	Dimitar Filev (Dimitar P. Filev)	[103]
28	Matthias E. Futschik	[40]
29	Akbar Ghobakhlou	[36] [43] [48] [51]
30	Liang Goh	[53] [58]
31	Sean W. Gordon	[110]
32	Paulo C. M. Gottgtroy	[80] [87] [90] [106] [107]
33	Andrew R. Gray	[10] [14]
34	Simon Greig	[9]
35	Nuwan Gunasekara	[149]
36	Haza Nuzly Abdull Hamed	[124] [128] [160] [163]
37	Ilkka Havukkala	[75] [76] [86] [104] [107]
38	H. Jaap van den Herik	[24]
39	Kaoru Hirota	[15]
40	Masayuki Hisada	[117]
41	Keiichi Horio	[143]
42	Yingjie Hu	[86] [92] [104] [107] [114] [131] [142] [164] [166]
43	Yuan-Chun Hwang	[118]
44	Pasquale Iacopino	[132] [134]
45	Georgi Iliev	[27]
46	Hirohisa Isogai	[143]
47	Steven A. Israel	[13] [23]
48	Vishal Jain	[49] [70] [75] [80] [87] [90] [100] [104] [106] [107]
49	B. J. Jechev	[1]
50	Yaochu Jin	[155]
51	Frances Joseph	[80] [87] [90] [106]
52	Youki Kadobayashi	[129] [130] [135] [147] [153] [168]
53	Diana Kassabova	[8]
54	Yuki Kawashima	[127]
55	Henry Kho	[133]
56	Richard Kilgour	[8] [35]
57	Jaesoo Kim	[14] [22] [30]
58	Takanori Koga	[143]
59	Hiroshi Kojima	[154]
60	Andreas König	[83] [99]
61	Mario Köppen	[83] [99] [136] [137]
62	Irena Koprinska	[28]
63	Robert Kozma (Robert B. Kozma)	[17] [18] [25] [30]
64	Rene Kroon	[75]
65	T. Lane	[41]
66	Simon H. Lavington	[7]
67	Mark R. Laws	[8] [35]
68	Wen Liang	[166]
69	S. Lin	[7]
70	Lukas	[133]
71	Tianmin Ma	[65] [66] [73] [81]
72	Stephen G. MacDonell	[93] [107]
73	Mark Roger Marshall	[66] [73]
74	Peter Mason	[10]
75	Satoshi Matsuda	[159] [167]
76	Kazuya Matsumoto	[116]
77	Yan Meng	[155]
78	Zbynek Michlovský	[128] [129]
79	Melanie Middlemiss	[41]
80	Ammar Mohemmed	[158] [159] [161] [162] [167]
81	Francesco Carlo Morabito	[132] [134]
82	Rajani K. Mudi	[54]
83	Daniel Nikovski	[4]
84	Ryota Nishioka	[110]
85	Nuttapod Nuntalid	[151] [161] [165]
86	Seiichi Ozawa	[45] [50] [56] [60] [63] [69] [95] [102] [116] [117] [126] [127]
87	Nikhil R. Pal	[54] [59]
88	Srimanta Pal	[54]
89	Shaoning Pang	[44] [45] [46] [50] [56] [60] [63] [69] [75] [76] [77] [86] [93] [95] [102] [105] [108] [110] [116] [117] [121] [126] [127] [129] [130] [135] [143] [147] [149] [150] [152] [153] [168]
90	Swapan K. Parui	[54]
91	Lora Peacock	[46]
92	Russel Pears	[107] [112] [122] [133] [156] [157]
93	S. H. Petkov	[3]
94	Eric O. Postma	[24]
95	Anthony Reeve	[40]
96	Lorenzo Rizzi	[39]
97	Elaine Rush	[107] [115]
98	Reinhard Schliebs	[154]
99	Stefan Schliebs	[91] [113] [119] [123] [125] [140] [148] [151] [158] [159] [162] [163] [167]
100	Antoaneta Serguieva	[122]
101	Siti Mariyam Hj. Shamsuddin (Siti Mariyam Shamsuddin)	[124] [128] [160]
102	Naoki Shimo	[143]
103	Igor Sidorov	[49]
104	S. Sinclair	[8]
105	Clive Solomon	[9]
106	Snjezana Soltic	[46] [109] [141]
107	Lei Song	[152]
108	Qun Song	[47] [53] [62] [65] [66] [68] [73] [81] [83] [107] [114] [115] [118]
109	Satoshi Sonoh	[143]
110	Hakaru Tamukoh	[143]
111	Alex Tjahjana	[107]
112	Soon Lee Toh	[56]
113	Anju Verma	[107] [115] [132] [134]
114	C. Wang	[7]
115	C. Watson	[8]
116	Michael J. Watts	[14] [18] [19] [36]
117	Juyang Weng (John (Juyang) Weng)	[155]
118	Harya Widiputra	[112] [122] [133] [156] [157] [160]
119	Brendon J. Woodford	[23] [33]
120	Susan P. Worner	[46] [119] [125]
121	Simei Gomes Wysoski	[64] [70] [78] [79] [82] [90] [94] [96] [109] [138] [144]
122	Takeshi Yamakawa	[110] [143]
123	David Zhang (David Dapeng Zhang)	[48] [51]
124	Kau Zhang	[117]

Colors in the list of coauthors

Last update Sat Jun 2 20:57:36 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page