Nikola K. Kasabov

Nikola Kasabov

	2009
118		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
117		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
116		Shaoning Pang, Tao Ban, Youki Kadobayashi, Nikola K. Kasabov: Spanning SVM Tree for Personalized Transductive Learning. ICANN (1) 2009: 913-922
115		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
114		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)
113		Nikola Kasabov: Integrative connectionist learning systems inspired by nature: current models, future trends and challenges. Natural Computing 8(2): 199-218 (2009)
112		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
111		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
110		Seiichi Ozawa, Kazuya Matsumoto, Shaoning Pang, Nikola Kasabov: Incremental Principal Component Analysis Based on Adaptive Accumulation Ratio. ICONIP (1) 2008: 1196-1203
109		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
108		Yingjie Hu, Qun Song, Nikola Kasabov: Personalized Modeling Based Gene Selection for Microarray Data Analysis. ICONIP (1) 2008: 1221-1228
107		Stefan Schliebs, Michael Defoin-Platel, Nikola Kasabov: Integrated Feature and Parameter Optimization for an Evolving Spiking Neural Network. ICONIP (1) 2008: 1229-1236
106		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
105		Nikola K. Kasabov: Integrative Probabilistic Evolving Spiking Neural Networks Utilising Quantum Inspired Evolutionary Algorithm: A Computational Framework. ICONIP (1) 2008: 3-13
104		Sean W. Gordon, Shaoning Pang, Ryota Nishioka, Nikola Kasabov, Takeshi Yamakawa: Vision Based Mobile Robot for Indoor Environmental Security. ICONIP (1) 2008: 962-969
103		Snjezana Soltic, Simei Gomes Wysoski, Nikola K. Kasabov: Evolving spiking neural networks for taste recognition. IJCNN 2008: 2091-2097
102		Shaoning Pang, Nikola K. Kasabov: r-SVMT: Discovering the knowledge of association rule over SVM classification trees. IJCNN 2008: 2486-2493
101		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
100		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
99		Shaoning Pang, Nikola K. Kasabov: SVMT-Rule: Association Rule Mining Over SVM Classification Trees. Rule Extraction from Support Vector Machines 2008: 135-162
98		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)
97		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)
96		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)
95		Nikola Kasabov: Adaptive modeling and discovery in bioinformatics: The evolving connectionist approach. Int. J. Intell. Syst. 23(5): 545-555 (2008)
94		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		Nikola Kasabov: Evolving Connectionist and Hybrid Systems: Methods, Tools, Applications. HIS 2007: 3
92		Simei Gomes Wysoski, Lubica Benuskova, Nikola Kasabov: Text-Independent Speaker Authentication with Spiking Neural Networks. ICANN (2) 2007: 758-767
91		Seiichi Ozawa, Shaoning Pang, Nikola Kasabov: Adaptive Face Recognition System Using Fast Incremental Principal Component Analysis. ICONIP (2) 2007: 396-405
90		Simei Gomes Wysoski, Lubica Benuskova, Nikola Kasabov: Adaptive Spiking Neural Networks for Audiovisual Pattern Recognition. ICONIP (2) 2007: 406-415
89		Boris Bacic, Nikola Kasabov, Stephen G. MacDonell, Shaoning Pang: Evolving Connectionist Systems for Adaptive Sport Coaching. ICONIP (2) 2007: 416-425
88		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		Michael Defoin-Platel, Stefan Schliebs, Nikola Kasabov: A versatile quantum-inspired evolutionary algorithm. IEEE Congress on Evolutionary Computation 2007: 423-430
86		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		Nikola Kasabov: Brain-, Gene-, and Quantum Inspired Computational Intelligence: Challenges and Opportunities. Challenges for Computational Intelligence 2007: 193-219
84		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		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		Lubica Benuskova, Nikola Kasabov: Modeling L-LTP based on changes in concentration of pCREB transcription factor. Neurocomputing 70(10-12): 2035-2040 (2007)
81		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		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		Qun Song, Tianmin Ma, Nikola Kasabov: TTLSC - Transductive Total Least Square Model for Classification and Its Application in Medicine. ADMA 2006: 197-204
78		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		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		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		Shaoning Pang, Nikola Kasabov: Investigating LLE Eigenface on Pose and Face Identification. ISNN (2) 2006: 134-139
74		Shaoning Pang, Ilkka Havukkala, Nikola Kasabov: Two-Class SVM Trees (2-SVMT) for Biomarker Data Analysis. ISNN (2) 2006: 629-634
73		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		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		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		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		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		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		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		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		Qun Song, Tianmin Ma, Nikola Kasabov: Transductive Knowledge Based Fuzzy Inference System for Personalized Modeling. FSKD (2) 2005: 528-535
62		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		Shaoning Pang, Seiichi Ozawa, Nikola Kasabov: Chunk Incremental LDA Computing on Data Streams. ISNN (2) 2005: 51-56
60		Qun Song, Nikola K. Kasabov: NFI: a neuro-fuzzy inference method for transductive reasoning. IEEE T. Fuzzy Systems 13(6): 799-808 (2005)
59		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		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		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		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		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		Liang Goh, Qun Song, Nikola K. Kasabov: A Novel Feature Selection Method to Improve Classification of Gene Expression Data. APBC 2004: 161-166
51		Nikola Kasabov: Discovering Rules of Adaptation and Interaction: From Molecules and Gene Interaction to Brain Functions. HIS 2004: 3
50		David Zhang, Akbar Ghobakhlou, Nikola K. Kasabov: An adaptive model of person identification combining speech and image information. ICARCV 2004: 413-418
49		Shaoning Pang, Seiichi Ozawa, Nikola Kasabov: One-Pass Incremental Membership Authentication by Face Classification. ICBA 2004: 155-161
48		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		Akbar Ghobakhlou, David Zhang, Nikola Kasabov: An Evolving Neural Network Model for Person Verification Combining Speech and Image. ICONIP 2004: 381-386
46		Qun Song, Nikola K. Kasabov: TWRBF - Transductive RBF Neural Network with Weighted Data Normalization. ICONIP 2004: 633-640
45		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		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		Nikola K. Kasabov, Shaoning Pang: Editorial. Int. J. Comput. Syst. Signal 5(2): 1 (2004)
42		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		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		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		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		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		Nikola K. Kasabov: Spoken language analysis, modeling and recognition - Cstatistical and adaptive connectionist approaches. Inf. Sci. 156(1-2): 1-2 (2003)
36		Waleed H. Abdulla, Nikola Kasabov: Reduced feature-set based parallel CHMM speech recognition systems. Inf. Sci. 156(1-2): 21-38 (2003)
35		Akbar Ghobakhlou, Michael J. Watts, Nikola K. Kasabov: Adaptive speech recognition with evolving connectionist systems. Inf. Sci. 156(1-2): 71-83 (2003)
34		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		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		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		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		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		Irena Koprinska, Nikola K. Kasabov: Evolving Fuzzy Neural Network for Camera Operations Recognition. ICPR 2000: 2523-2526
26		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		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		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		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		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		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	[36]
2	Shigeo Abe	[55]
3	Hojjat Adeli	[58]
4	Plamen P. Angelov	[97]
5	Boris Bacic	[89]
6	Max Bailey	[9] [10]
7	Tao Ban	[116]
8	Mike Barley	[65]
9	Flavio Bazzana	[38]
10	Lubica Benusková (Lubica Benuskova)	[62] [68] [73] [76] [77] [78] [80] [82] [84] [86] [90] [92] [94] [100] [101]
11	G. T. Bijev	[1]
12	Zeke S. H. Chan	[41] [48] [54] [56] [69] [70] [98]
13	George G. Coghill	[117] [118]
14	Tico Cohen	[10] [29]
15	Lesley Collins	[56] [69] [70]
16	Maria Cuzzola	[115]
17	Michael Defoin-Platel	[87] [107] [112]
18	Da Deng	[25] [31] [33]
19	Dimiter S. Dimitrov	[48]
20	Luca Erzegovesi	[38]
21	Mario Fedrizzi	[38]
22	Maurizio Fiasché	[115]
23	Dimitar Filev	[97]
24	Matthias E. Futschik	[39]
25	Akbar Ghobakhlou	[35] [42] [47] [50]
26	Liang Goh	[52] [57]
27	Sean W. Gordon	[104]
28	Paulo C. M. Gottgtroy	[78] [84] [86] [100] [101]
29	Andrew R. Gray	[10] [13]
30	Simon Greig	[9]
31	Ilkka Havukkala	[73] [74] [83] [98] [101]
32	H. Jaap van den Herik	[23]
33	Kaoru Hirota	[14]
34	Masayuki Hisada	[111]
35	Yingjie Hu	[83] [88] [98] [101] [108]
36	Pasquale Iacopino	[115]
37	Georgi Iliev	[26]
38	Steven A. Israel	[22]
39	Vishal Jain	[48] [68] [73] [78] [84] [86] [94] [98] [100] [101]
40	B. J. Jechev	[1]
41	Frances Joseph	[78] [84] [86] [100]
42	Youki Kadobayashi	[116]
43	Diana Kassabova	[8]
44	Richard Kilgour	[8] [34]
45	Jaesoo Kim	[13] [21] [29]
46	Mario Köppen	[117] [118]
47	Irena Koprinska	[27]
48	Robert Kozma	[16] [17] [24] [29]
49	Rene Kroon	[73]
50	T. Lane	[40]
51	Simon H. Lavington	[7]
52	Mark R. Laws	[8] [34]
53	S. Lin	[7]
54	Tianmin Ma	[63] [64] [71] [79]
55	Stephen G. MacDonell	[89] [101]
56	Mark Roger Marshall	[64] [71]
57	Peter Mason	[10]
58	Kazuya Matsumoto	[110]
59	M. Middlemiss	[40]
60	Francesco Carlo Morabito	[115]
61	Rajani K. Mudi	[53]
62	Daniel Nikovski	[4]
63	Ryota Nishioka	[104]
64	Seiichi Ozawa	[44] [49] [55] [59] [61] [67] [91] [96] [110] [111]
65	Nikhil R. Pal	[53] [58]
66	Srimanta Pal	[53]
67	Shaoning Pang	[43] [44] [45] [49] [55] [59] [61] [67] [73] [74] [75] [83] [89] [91] [96] [99] [102] [104] [110] [111] [114] [116]
68	Swapan K. Parui	[53]
69	Lora Peacock	[45]
70	Russel Pears	[101] [106]
71	S. H. Petkov	[3]
72	Eric O. Postma	[23]
73	Anthony Reeve	[39]
74	Lorenzo Rizzi	[38]
75	Elaine Rush	[101] [109]
76	Stefan Schliebs	[87] [107] [112]
77	Igor Sidorov	[48]
78	S. Sinclair	[8]
79	Clive Solomon	[9]
80	Snjezana Soltic	[45] [103]
81	Qun Song	[46] [52] [60] [63] [64] [66] [71] [79] [101] [108] [109]
82	Alex Tjahjana	[101]
83	Soon Lee Toh	[55]
84	Anju Verma	[101] [109] [115]
85	C. Wang	[7]
86	C. Watson	[8]
87	Michael J. Watts	[13] [17] [18] [35]
88	Harya Widiputra	[106]
89	Brendon J. Woodford	[22] [32]
90	Susan P. Worner	[45] [112]
91	Simei Gomes Wysoski	[62] [68] [76] [77] [80] [86] [90] [92] [103]
92	Takeshi Yamakawa	[104]
93	David Zhang (David Dapeng Zhang)	[47] [50]
94	Kau Zhang	[111]

Colors in the list of coauthors