Nikola K. Kasabov

Nikola Kasabov

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2008

101 EE Snjezana Soltic, Simei Gomes Wysoski, Nikola K. Kasabov: Evolving spiking neural networks for taste recognition. IJCNN 2008: 2091-2097

100 EE Shaoning Pang, Nikola K. Kasabov: r-SVMT: Discovering the knowledge of association rule over SVM classification trees. IJCNN 2008: 2486-2493

99 EE 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

98 EE 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

97 EE Shaoning Pang, Nikola K. Kasabov: SVMT-Rule: Association Rule Mining Over SVM Classification Trees. Rule Extraction from Support Vector Machines 2008: 135-162

96 EE 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)

95 EE Nikola Kasabov: Adaptive modeling and discovery in bioinformatics: The evolving connectionist approach. Int. J. Intell. Syst. 23(5): 545-555 (2008)

94 EE 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

93 EE Nikola Kasabov: Evolving Connectionist and Hybrid Systems: Methods, Tools, Applications. HIS 2007: 3

92 EE Simei Gomes Wysoski, Lubica Benuskova, Nikola Kasabov: Text-Independent Speaker Authentication with Spiking Neural Networks. ICANN (2) 2007: 758-767

91 EE Seiichi Ozawa, Shaoning Pang, Nikola Kasabov: Adaptive Face Recognition System Using Fast Incremental Principal Component Analysis. ICONIP (2) 2007: 396-405

90 EE Simei Gomes Wysoski, Lubica Benuskova, Nikola Kasabov: Adaptive Spiking Neural Networks for Audiovisual Pattern Recognition. ICONIP (2) 2007: 406-415

89 EE Boris Bacic, Nikola Kasabov, Stephen G. MacDonell, Shaoning Pang: Evolving Connectionist Systems for Adaptive Sport Coaching. ICONIP (2) 2007: 416-425

88 EE Yingjie Hu, Nikola Kasabov: Ontology-Based Framework for Personalized Diagnosis and Prognosis of Cancer Based on Gene Expression Data. ICONIP (2) 2007: 846-855

87 EE Michael Defoin-Platel, Stefan Schliebs, Nikola Kasabov: A versatile quantum-inspired evolutionary algorithm. IEEE Congress on Evolutionary Computation 2007: 423-430

86 EE 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

85 EE Nikola Kasabov: Brain-, Gene-, and Quantum Inspired Computational Intelligence: Challenges and Opportunities. Challenges for Computational Intelligence 2007: 193-219

84 EE 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)

83 EE Shaoning Pang, Ilkka Havukkala, Yingjie Hu, Nikola Kasabov: Classification consistency analysis for bootstrapping gene selection. Neural Computing and Applications 16(6): 527-539 (2007)

82 EE Lubica Benuskova, Nikola Kasabov: Modeling L-LTP based on changes in concentration of pCREB transcription factor. Neurocomputing 70(10-12): 2035-2040 (2007)

81 EE Nikola Kasabov: Global, local and personalised modeling and pattern discovery in bioinformatics: An integrated approach. Pattern Recognition Letters 28(6): 673-685 (2007)

2006

80 EE 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

79 EE Qun Song, Tianmin Ma, Nikola Kasabov: TTLSC - Transductive Total Least Square Model for Classification and Its Application in Medicine. ADMA 2006: 197-204

78 EE 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

77 EE 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

76 EE Lubica Benuskova, Simei Gomes Wysoski, Nikola K. Kasabov: Computational Neurogenetic Modeling: A Methodology to Study Gene Interactions Underlying Neural Oscillations. IJCNN 2006: 4638-4644

75 EE Shaoning Pang, Nikola Kasabov: Investigating LLE Eigenface on Pose and Face Identification. ISNN (2) 2006: 134-139

74 EE Shaoning Pang, Ilkka Havukkala, Nikola Kasabov: Two-Class SVM Trees (2-SVMT) for Biomarker Data Analysis. ISNN (2) 2006: 629-634

73 EE 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

72 EE 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)

71 EE 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)

70 EE 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)

69 EE 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)

68 EE 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)

67 EE 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)

66 EE 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

65 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

64 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

63 EE Qun Song, Tianmin Ma, Nikola Kasabov: Transductive Knowledge Based Fuzzy Inference System for Personalized Modeling. FSKD (2) 2005: 528-535

62 EE 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

61 EE Shaoning Pang, Seiichi Ozawa, Nikola Kasabov: Chunk Incremental LDA Computing on Data Streams. ISNN (2) 2005: 51-56

60 EE Qun Song, Nikola K. Kasabov: NFI: a neuro-fuzzy inference method for transductive reasoning. IEEE T. Fuzzy Systems 13(6): 799-808 (2005)

59 EE 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)

58 Nikola K. Kasabov, Hojjat Adeli, Nikhil R. Pal: Introduction. Int. J. Neural Syst. 15(1-2): (2005)

57 EE 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)

56 EE 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)

55 EE 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)

54 EE 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

53 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

52 EE Liang Goh, Qun Song, Nikola K. Kasabov: A Novel Feature Selection Method to Improve Classification of Gene Expression Data. APBC 2004: 161-166

51 EE Nikola Kasabov: Discovering Rules of Adaptation and Interaction: From Molecules and Gene Interaction to Brain Functions. HIS 2004: 3

50 EE David Zhang, Akbar Ghobakhlou, Nikola K. Kasabov: An adaptive model of person identification combining speech and image information. ICARCV 2004: 413-418

49 EE Shaoning Pang, Seiichi Ozawa, Nikola Kasabov: One-Pass Incremental Membership Authentication by Face Classification. ICBA 2004: 155-161

48 EE 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

47 EE Akbar Ghobakhlou, David Zhang, Nikola Kasabov: An Evolving Neural Network Model for Person Verification Combining Speech and Image. ICONIP 2004: 381-386

46 EE Qun Song, Nikola K. Kasabov: TWRBF - Transductive RBF Neural Network with Weighted Data Normalization. ICONIP 2004: 633-640

45 EE 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

44 EE 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

43 EE Nikola K. Kasabov, Shaoning Pang: Editorial. Int. J. Comput. Syst. Signal 5(2): 1 (2004)

42 EE 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)

41 EE 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

40 EE 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. APBC 2003: 199-202

39 EE 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)

38 EE 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)

37 EE Nikola K. Kasabov: Spoken language analysis, modeling and recognition - Cstatistical and adaptive connectionist approaches. Inf. Sci. 156(1-2): 1-2 (2003)

36 EE Waleed H. Abdulla, Nikola Kasabov: Reduced feature-set based parallel CHMM speech recognition systems. Inf. Sci. 156(1-2): 21-38 (2003)

35 EE Akbar Ghobakhlou, Michael J. Watts, Nikola K. Kasabov: Adaptive speech recognition with evolving connectionist systems. Inf. Sci. 156(1-2): 71-83 (2003)

34 EE 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)

33 EE Da Deng, Nikola K. Kasabov: On-line pattern analysis by evolving self-organizing maps. Neurocomputing 51: 87-103 (2003)

2001

32 Brendon J. Woodford, Nikola K. Kasabov: Ensembles of EFuNNs: An Architecture for a Mutlimodule Classifier. FUZZ-IEEE 2001: 1573-1576

31 EE Da Deng, Nikola K. Kasabov: An evolving localised learning model for on-line image colour quantisation. ICIP (1) 2001: 906-909

30 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)

29 EE 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)

28 EE 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

27 EE Irena Koprinska, Nikola K. Kasabov: Evolving Fuzzy Neural Network for Camera Operations Recognition. ICPR 2000: 2523-2526

26 EE 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

25 EE Da Deng, Nikola K. Kasabov: ESOM: An Algorithm to Evolve Self-Organizing Maps from On-Line Data Streams. IJCNN (6) 2000: 3-8

24 Nikola K. Kasabov, Robert Kozma: Methods and systems for intelligent human-computer interaction. Inf. Sci. 123(1-2): 1-2 (2000)

23 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)

22 EE 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

21 EE 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

20 Nikola Kasabov: Evolving Connectionist Systems and Evolving Brains. ICONIP 1998: 12-13

19 Nikola K. Kasabov: ECOS: Evolving Connectionist Systems and the ECO Learning Paradigm. ICONIP 1998: 1232-1235

18 Michael J. Watts, Nikola K. Kasabov: Genetic Algorithms for the Design of Fuzzy Neural Networks. ICONIP 1998: 793-796

17 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)

16 Nikola K. Kasabov, Robert Kozma: Self-Organization and Adaptation in Intelligent Systems. JACIII 2(6): 177 (1998)

15 EE Nikola K. Kasabov: The ECOS Framework and the ECO Learning Method for Evolving Connectionist Systems. JACIII 2(6): 195-202 (1998)

1997

14 Nikola K. Kasabov, Kaoru Hirota: Special Issue on Advanced Neuro-Fuzzy Techniques and Their Applications: Introduction. Inf. Sci. 101(3-4): 153-154 (1997)

13 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)

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 EE Nikola K. Kasabov: Adaptable neuro production systems. Neurocomputing 13(2-4): 95-117 (1996)

1995

10 EE 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 EE 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 EE 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 EE 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

2008
101	EE	Snjezana Soltic, Simei Gomes Wysoski, Nikola K. Kasabov: Evolving spiking neural networks for taste recognition. IJCNN 2008: 2091-2097
100	EE	Shaoning Pang, Nikola K. Kasabov: r-SVMT: Discovering the knowledge of association rule over SVM classification trees. IJCNN 2008: 2486-2493
99	EE	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
98	EE	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
97	EE	Shaoning Pang, Nikola K. Kasabov: SVMT-Rule: Association Rule Mining Over SVM Classification Trees. Rule Extraction from Support Vector Machines 2008: 135-162
96	EE	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)
95	EE	Nikola Kasabov: Adaptive modeling and discovery in bioinformatics: The evolving connectionist approach. Int. J. Intell. Syst. 23(5): 545-555 (2008)
94	EE	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
93	EE	Nikola Kasabov: Evolving Connectionist and Hybrid Systems: Methods, Tools, Applications. HIS 2007: 3
92	EE	Simei Gomes Wysoski, Lubica Benuskova, Nikola Kasabov: Text-Independent Speaker Authentication with Spiking Neural Networks. ICANN (2) 2007: 758-767
91	EE	Seiichi Ozawa, Shaoning Pang, Nikola Kasabov: Adaptive Face Recognition System Using Fast Incremental Principal Component Analysis. ICONIP (2) 2007: 396-405
90	EE	Simei Gomes Wysoski, Lubica Benuskova, Nikola Kasabov: Adaptive Spiking Neural Networks for Audiovisual Pattern Recognition. ICONIP (2) 2007: 406-415
89	EE	Boris Bacic, Nikola Kasabov, Stephen G. MacDonell, Shaoning Pang: Evolving Connectionist Systems for Adaptive Sport Coaching. ICONIP (2) 2007: 416-425
88	EE	Yingjie Hu, Nikola Kasabov: Ontology-Based Framework for Personalized Diagnosis and Prognosis of Cancer Based on Gene Expression Data. ICONIP (2) 2007: 846-855
87	EE	Michael Defoin-Platel, Stefan Schliebs, Nikola Kasabov: A versatile quantum-inspired evolutionary algorithm. IEEE Congress on Evolutionary Computation 2007: 423-430
86	EE	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
85	EE	Nikola Kasabov: Brain-, Gene-, and Quantum Inspired Computational Intelligence: Challenges and Opportunities. Challenges for Computational Intelligence 2007: 193-219
84	EE	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)
83	EE	Shaoning Pang, Ilkka Havukkala, Yingjie Hu, Nikola Kasabov: Classification consistency analysis for bootstrapping gene selection. Neural Computing and Applications 16(6): 527-539 (2007)
82	EE	Lubica Benuskova, Nikola Kasabov: Modeling L-LTP based on changes in concentration of pCREB transcription factor. Neurocomputing 70(10-12): 2035-2040 (2007)
81	EE	Nikola Kasabov: Global, local and personalised modeling and pattern discovery in bioinformatics: An integrated approach. Pattern Recognition Letters 28(6): 673-685 (2007)
2006
80	EE	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
79	EE	Qun Song, Tianmin Ma, Nikola Kasabov: TTLSC - Transductive Total Least Square Model for Classification and Its Application in Medicine. ADMA 2006: 197-204
78	EE	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
77	EE	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
76	EE	Lubica Benuskova, Simei Gomes Wysoski, Nikola K. Kasabov: Computational Neurogenetic Modeling: A Methodology to Study Gene Interactions Underlying Neural Oscillations. IJCNN 2006: 4638-4644
75	EE	Shaoning Pang, Nikola Kasabov: Investigating LLE Eigenface on Pose and Face Identification. ISNN (2) 2006: 134-139
74	EE	Shaoning Pang, Ilkka Havukkala, Nikola Kasabov: Two-Class SVM Trees (2-SVMT) for Biomarker Data Analysis. ISNN (2) 2006: 629-634
73	EE	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
72	EE	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)
71	EE	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)
70	EE	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)
69	EE	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)
68	EE	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)
67	EE	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)
66	EE	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
65		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
64		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
63	EE	Qun Song, Tianmin Ma, Nikola Kasabov: Transductive Knowledge Based Fuzzy Inference System for Personalized Modeling. FSKD (2) 2005: 528-535
62	EE	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
61	EE	Shaoning Pang, Seiichi Ozawa, Nikola Kasabov: Chunk Incremental LDA Computing on Data Streams. ISNN (2) 2005: 51-56
60	EE	Qun Song, Nikola K. Kasabov: NFI: a neuro-fuzzy inference method for transductive reasoning. IEEE T. Fuzzy Systems 13(6): 799-808 (2005)
59	EE	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)
58		Nikola K. Kasabov, Hojjat Adeli, Nikhil R. Pal: Introduction. Int. J. Neural Syst. 15(1-2): (2005)
57	EE	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)
56	EE	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)
55	EE	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)
54	EE	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
53		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
52	EE	Liang Goh, Qun Song, Nikola K. Kasabov: A Novel Feature Selection Method to Improve Classification of Gene Expression Data. APBC 2004: 161-166
51	EE	Nikola Kasabov: Discovering Rules of Adaptation and Interaction: From Molecules and Gene Interaction to Brain Functions. HIS 2004: 3
50	EE	David Zhang, Akbar Ghobakhlou, Nikola K. Kasabov: An adaptive model of person identification combining speech and image information. ICARCV 2004: 413-418
49	EE	Shaoning Pang, Seiichi Ozawa, Nikola Kasabov: One-Pass Incremental Membership Authentication by Face Classification. ICBA 2004: 155-161
48	EE	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
47	EE	Akbar Ghobakhlou, David Zhang, Nikola Kasabov: An Evolving Neural Network Model for Person Verification Combining Speech and Image. ICONIP 2004: 381-386
46	EE	Qun Song, Nikola K. Kasabov: TWRBF - Transductive RBF Neural Network with Weighted Data Normalization. ICONIP 2004: 633-640
45	EE	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
44	EE	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
43	EE	Nikola K. Kasabov, Shaoning Pang: Editorial. Int. J. Comput. Syst. Signal 5(2): 1 (2004)
42	EE	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)
41	EE	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
40	EE	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. APBC 2003: 199-202
39	EE	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)
38	EE	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)
37	EE	Nikola K. Kasabov: Spoken language analysis, modeling and recognition - Cstatistical and adaptive connectionist approaches. Inf. Sci. 156(1-2): 1-2 (2003)
36	EE	Waleed H. Abdulla, Nikola Kasabov: Reduced feature-set based parallel CHMM speech recognition systems. Inf. Sci. 156(1-2): 21-38 (2003)
35	EE	Akbar Ghobakhlou, Michael J. Watts, Nikola K. Kasabov: Adaptive speech recognition with evolving connectionist systems. Inf. Sci. 156(1-2): 71-83 (2003)
34	EE	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)
33	EE	Da Deng, Nikola K. Kasabov: On-line pattern analysis by evolving self-organizing maps. Neurocomputing 51: 87-103 (2003)
2001
32		Brendon J. Woodford, Nikola K. Kasabov: Ensembles of EFuNNs: An Architecture for a Mutlimodule Classifier. FUZZ-IEEE 2001: 1573-1576
31	EE	Da Deng, Nikola K. Kasabov: An evolving localised learning model for on-line image colour quantisation. ICIP (1) 2001: 906-909
30		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)
29	EE	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)
28	EE	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
27	EE	Irena Koprinska, Nikola K. Kasabov: Evolving Fuzzy Neural Network for Camera Operations Recognition. ICPR 2000: 2523-2526
26	EE	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
25	EE	Da Deng, Nikola K. Kasabov: ESOM: An Algorithm to Evolve Self-Organizing Maps from On-Line Data Streams. IJCNN (6) 2000: 3-8
24		Nikola K. Kasabov, Robert Kozma: Methods and systems for intelligent human-computer interaction. Inf. Sci. 123(1-2): 1-2 (2000)
23		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)
22	EE	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
21	EE	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
20		Nikola Kasabov: Evolving Connectionist Systems and Evolving Brains. ICONIP 1998: 12-13
19		Nikola K. Kasabov: ECOS: Evolving Connectionist Systems and the ECO Learning Paradigm. ICONIP 1998: 1232-1235
18		Michael J. Watts, Nikola K. Kasabov: Genetic Algorithms for the Design of Fuzzy Neural Networks. ICONIP 1998: 793-796
17		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)
16		Nikola K. Kasabov, Robert Kozma: Self-Organization and Adaptation in Intelligent Systems. JACIII 2(6): 177 (1998)
15	EE	Nikola K. Kasabov: The ECOS Framework and the ECO Learning Method for Evolving Connectionist Systems. JACIII 2(6): 195-202 (1998)
1997
14		Nikola K. Kasabov, Kaoru Hirota: Special Issue on Advanced Neuro-Fuzzy Techniques and Their Applications: Introduction. Inf. Sci. 101(3-4): 153-154 (1997)
13		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)
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	EE	Nikola K. Kasabov: Adaptable neuro production systems. Neurocomputing 13(2-4): 95-117 (1996)
1995
10	EE	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	EE	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	EE	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	EE	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 [36]

2 Shigeo Abe [55]

3 Hojjat Adeli [58]

4 Boris Bacic [89]

5 Max Bailey [9] [10]

6 Mike Barley [65]

7 Flavio Bazzana [38]

8 Lubica Benuskova [62] [68] [73] [76] [77] [78] [80] [82] [84] [86] [90] [92] [94] [98] [99]

9 G. T. Bijev [1]

10 Zeke S. H. Chan [41] [48] [54] [56] [69] [70] [96]

11 Tico Cohen [10] [29]

12 Lesley Collins [56] [69] [70]

13 Michael Defoin-Platel [87]

14 Da Deng [25] [31] [33]

15 Dimiter S. Dimitrov [48]

16 Luca Erzegovesi [38]

17 Mario Fedrizzi [38]

18 Matthias E. Futschik [39]

19 Akbar Ghobakhlou [35] [42] [47] [50]

20 Liang Goh [52] [57]

21 Paulo C. M. Gottgtroy [78] [84] [86] [98] [99]

22 Andrew R. Gray [10] [13]

23 Simon Greig [9]

24 Ilkka Havukkala [73] [74] [83] [96] [99]

25 H. Jaap van den Herik [23]

26 Kaoru Hirota [14]

27 Yingjie Hu [83] [88] [96] [99]

28 Georgi Iliev [26]

29 Steven A. Israel [22]

30 Vishal Jain [48] [68] [73] [78] [84] [86] [94] [96] [98] [99]

31 B. J. Jechev [1]

32 Frances Joseph [78] [84] [86] [98]

33 Diana Kassabova [8]

34 Richard Kilgour [8] [34]

35 Jaesoo Kim [13] [21] [29]

36 Irena Koprinska [27]

37 Robert Kozma [16] [17] [24] [29]

38 Rene Kroon [73]

39 T. Lane [40]

40 Simon H. Lavington [7]

41 Mark R. Laws [8] [34]

42 S. Lin [7]

43 Tianmin Ma [63] [64] [71] [79]

44 Stephen G. MacDonell [89] [99]

45 Mark Roger Marshall [64] [71]

46 Peter Mason [10]

47 M. Middlemiss [40]

48 Rajani K. Mudi [53]

49 Daniel Nikovski [4]

50 Seiichi Ozawa [44] [49] [55] [59] [61] [67] [91]

51 Nikhil R. Pal [53] [58]

52 Srimanta Pal [53]

53 Shaoning Pang [43] [44] [45] [49] [55] [59] [61] [67] [73] [74] [75] [83] [89] [91] [97] [100]

54 Swapan K. Parui [53]

55 Lora Peacock [45]

56 Russel Pears [99]

57 S. H. Petkov [3]

58 Eric O. Postma [23]

59 Anthony Reeve [39]

60 Lorenzo Rizzi [38]

61 Elaine Rush [99]

62 Stefan Schliebs [87]

63 Igor Sidorov [48]

64 S. Sinclair [8]

65 Clive Solomon [9]

66 Snjezana Soltic [45] [101]

67 Qun Song [46] [52] [60] [63] [64] [66] [71] [79] [99]

68 Alex Tjahjana [99]

69 Soon Lee Toh [55]

70 Anju Verma [99]

71 C. Wang [7]

72 C. Watson [8]

73 Michael J. Watts [13] [17] [18] [35]

74 Brendon J. Woodford [22] [32]

75 Susan P. Worner [45]

76 Simei Gomes Wysoski [62] [68] [76] [77] [80] [86] [90] [92] [101]

77 David Zhang (David Dapeng Zhang) [47] [50]

Colors in the list of coauthors

1	Waleed H. Abdulla	[36]
2	Shigeo Abe	[55]
3	Hojjat Adeli	[58]
4	Boris Bacic	[89]
5	Max Bailey	[9] [10]
6	Mike Barley	[65]
7	Flavio Bazzana	[38]
8	Lubica Benuskova	[62] [68] [73] [76] [77] [78] [80] [82] [84] [86] [90] [92] [94] [98] [99]
9	G. T. Bijev	[1]
10	Zeke S. H. Chan	[41] [48] [54] [56] [69] [70] [96]
11	Tico Cohen	[10] [29]
12	Lesley Collins	[56] [69] [70]
13	Michael Defoin-Platel	[87]
14	Da Deng	[25] [31] [33]
15	Dimiter S. Dimitrov	[48]
16	Luca Erzegovesi	[38]
17	Mario Fedrizzi	[38]
18	Matthias E. Futschik	[39]
19	Akbar Ghobakhlou	[35] [42] [47] [50]
20	Liang Goh	[52] [57]
21	Paulo C. M. Gottgtroy	[78] [84] [86] [98] [99]
22	Andrew R. Gray	[10] [13]
23	Simon Greig	[9]
24	Ilkka Havukkala	[73] [74] [83] [96] [99]
25	H. Jaap van den Herik	[23]
26	Kaoru Hirota	[14]
27	Yingjie Hu	[83] [88] [96] [99]
28	Georgi Iliev	[26]
29	Steven A. Israel	[22]
30	Vishal Jain	[48] [68] [73] [78] [84] [86] [94] [96] [98] [99]
31	B. J. Jechev	[1]
32	Frances Joseph	[78] [84] [86] [98]
33	Diana Kassabova	[8]
34	Richard Kilgour	[8] [34]
35	Jaesoo Kim	[13] [21] [29]
36	Irena Koprinska	[27]
37	Robert Kozma	[16] [17] [24] [29]
38	Rene Kroon	[73]
39	T. Lane	[40]
40	Simon H. Lavington	[7]
41	Mark R. Laws	[8] [34]
42	S. Lin	[7]
43	Tianmin Ma	[63] [64] [71] [79]
44	Stephen G. MacDonell	[89] [99]
45	Mark Roger Marshall	[64] [71]
46	Peter Mason	[10]
47	M. Middlemiss	[40]
48	Rajani K. Mudi	[53]
49	Daniel Nikovski	[4]
50	Seiichi Ozawa	[44] [49] [55] [59] [61] [67] [91]
51	Nikhil R. Pal	[53] [58]
52	Srimanta Pal	[53]
53	Shaoning Pang	[43] [44] [45] [49] [55] [59] [61] [67] [73] [74] [75] [83] [89] [91] [97] [100]
54	Swapan K. Parui	[53]
55	Lora Peacock	[45]
56	Russel Pears	[99]
57	S. H. Petkov	[3]
58	Eric O. Postma	[23]
59	Anthony Reeve	[39]
60	Lorenzo Rizzi	[38]
61	Elaine Rush	[99]
62	Stefan Schliebs	[87]
63	Igor Sidorov	[48]
64	S. Sinclair	[8]
65	Clive Solomon	[9]
66	Snjezana Soltic	[45] [101]
67	Qun Song	[46] [52] [60] [63] [64] [66] [71] [79] [99]
68	Alex Tjahjana	[99]
69	Soon Lee Toh	[55]
70	Anju Verma	[99]
71	C. Wang	[7]
72	C. Watson	[8]
73	Michael J. Watts	[13] [17] [18] [35]
74	Brendon J. Woodford	[22] [32]
75	Susan P. Worner	[45]
76	Simei Gomes Wysoski	[62] [68] [76] [77] [80] [86] [90] [92] [101]
77	David Zhang (David Dapeng Zhang)	[47] [50]