Nikola K. Kasabov Vis

Nikola Kasabov

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118EEMario 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
117EEMario 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
116EEShaoning Pang, Tao Ban, Youki Kadobayashi, Nikola K. Kasabov: Spanning SVM Tree for Personalized Transductive Learning. ICANN (1) 2009: 913-922
115EEMaurizio 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
114EEShaoning Pang, Nikola K. Kasabov: Encoding and decoding the knowledge of association rules over SVM classification trees. Knowl. Inf. Syst. 19(1): 79-105 (2009)
113EENikola Kasabov: Integrative connectionist learning systems inspired by nature: current models, future trends and challenges. Natural Computing 8(2): 199-218 (2009)
112EEStefan 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)
111EEMasayuki 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
110EESeiichi Ozawa, Kazuya Matsumoto, Shaoning Pang, Nikola Kasabov: Incremental Principal Component Analysis Based on Adaptive Accumulation Ratio. ICONIP (1) 2008: 1196-1203
109EEAnju Verma, Nikola Kasabov, Elaine Rush, Qun Song: Ontology Based Personalized Modeling for Chronic Disease Risk Analysis: An Integrated Approach. ICONIP (1) 2008: 1204-1210
108EEYingjie Hu, Qun Song, Nikola Kasabov: Personalized Modeling Based Gene Selection for Microarray Data Analysis. ICONIP (1) 2008: 1221-1228
107EEStefan Schliebs, Michael Defoin-Platel, Nikola Kasabov: Integrated Feature and Parameter Optimization for an Evolving Spiking Neural Network. ICONIP (1) 2008: 1229-1236
106EEHarya 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
105EENikola K. Kasabov: Integrative Probabilistic Evolving Spiking Neural Networks Utilising Quantum Inspired Evolutionary Algorithm: A Computational Framework. ICONIP (1) 2008: 3-13
104EESean W. Gordon, Shaoning Pang, Ryota Nishioka, Nikola Kasabov, Takeshi Yamakawa: Vision Based Mobile Robot for Indoor Environmental Security. ICONIP (1) 2008: 962-969
103EESnjezana Soltic, Simei Gomes Wysoski, Nikola K. Kasabov: Evolving spiking neural networks for taste recognition. IJCNN 2008: 2091-2097
102EEShaoning Pang, Nikola K. Kasabov: r-SVMT: Discovering the knowledge of association rule over SVM classification trees. IJCNN 2008: 2486-2493
101EENikola 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
100EENikola 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
99EEShaoning Pang, Nikola K. Kasabov: SVMT-Rule: Association Rule Mining Over SVM Classification Trees. Rule Extraction from Support Vector Machines 2008: 135-162
98EEZeke 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)
97EEPlamen 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)
96EESeiichi 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)
95EENikola Kasabov: Adaptive modeling and discovery in bioinformatics: The evolving connectionist approach. Int. J. Intell. Syst. 23(5): 545-555 (2008)
94EENikola 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)
93EENikola Kasabov: Evolving Connectionist and Hybrid Systems: Methods, Tools, Applications. HIS 2007: 3
92EESimei Gomes Wysoski, Lubica Benuskova, Nikola Kasabov: Text-Independent Speaker Authentication with Spiking Neural Networks. ICANN (2) 2007: 758-767
91EESeiichi Ozawa, Shaoning Pang, Nikola Kasabov: Adaptive Face Recognition System Using Fast Incremental Principal Component Analysis. ICONIP (2) 2007: 396-405
90EESimei Gomes Wysoski, Lubica Benuskova, Nikola Kasabov: Adaptive Spiking Neural Networks for Audiovisual Pattern Recognition. ICONIP (2) 2007: 406-415
89EEBoris Bacic, Nikola Kasabov, Stephen G. MacDonell, Shaoning Pang: Evolving Connectionist Systems for Adaptive Sport Coaching. ICONIP (2) 2007: 416-425
88EEYingjie Hu, Nikola Kasabov: Ontology-Based Framework for Personalized Diagnosis and Prognosis of Cancer Based on Gene Expression Data. ICONIP (2) 2007: 846-855
87EEMichael Defoin-Platel, Stefan Schliebs, Nikola Kasabov: A versatile quantum-inspired evolutionary algorithm. IEEE Congress on Evolutionary Computation 2007: 423-430
86EENikola 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
85EENikola Kasabov: Brain-, Gene-, and Quantum Inspired Computational Intelligence: Challenges and Opportunities. Challenges for Computational Intelligence 2007: 193-219
84EENikola 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)
83EEShaoning Pang, Ilkka Havukkala, Yingjie Hu, Nikola Kasabov: Classification consistency analysis for bootstrapping gene selection. Neural Computing and Applications 16(6): 527-539 (2007)
82EELubica Benuskova, Nikola Kasabov: Modeling L-LTP based on changes in concentration of pCREB transcription factor. Neurocomputing 70(10-12): 2035-2040 (2007)
81EENikola Kasabov: Global, local and personalised modeling and pattern discovery in bioinformatics: An integrated approach. Pattern Recognition Letters 28(6): 673-685 (2007)
80EESimei Gomes Wysoski, Lubica Benuskova, Nikola K. Kasabov: Adaptive Learning Procedure for a Network of Spiking Neurons and Visual Pattern Recognition. ACIVS 2006: 1133-1142
79EEQun Song, Tianmin Ma, Nikola Kasabov: TTLSC - Transductive Total Least Square Model for Classification and Its Application in Medicine. ADMA 2006: 197-204
78EENikola 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
77EESimei 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
76EELubica Benuskova, Simei Gomes Wysoski, Nikola K. Kasabov: Computational Neurogenetic Modeling: A Methodology to Study Gene Interactions Underlying Neural Oscillations. IJCNN 2006: 4638-4644
75EEShaoning Pang, Nikola Kasabov: Investigating LLE Eigenface on Pose and Face Identification. ISNN (2) 2006: 134-139
74EEShaoning Pang, Ilkka Havukkala, Nikola Kasabov: Two-Class SVM Trees (2-SVMT) for Biomarker Data Analysis. ISNN (2) 2006: 629-634
73EEIlkka 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
72EENikola K. Kasabov: Adaptation and interaction in dynamical systems: Modelling and rule discovery through evolving connectionist systems. Appl. Soft Comput. 6(3): 307-322 (2006)
71EEQun 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)
70EEZeke 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)
69EEZeke 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)
68EELubica 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)
67EESeiichi 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)
66EEQun Song, Nikola Kasabov: TWNFI - a transductive neuro-fuzzy inference system with weighted data normalization for personalized modeling. Neural Networks 19(10): 1591-1596 (2006)
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
63EEQun Song, Tianmin Ma, Nikola Kasabov: Transductive Knowledge Based Fuzzy Inference System for Personalized Modeling. FSKD (2) 2005: 528-535
62EENikola 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
61EEShaoning Pang, Seiichi Ozawa, Nikola Kasabov: Chunk Incremental LDA Computing on Data Streams. ISNN (2) 2005: 51-56
60EEQun Song, Nikola K. Kasabov: NFI: a neuro-fuzzy inference method for transductive reasoning. IEEE T. Fuzzy Systems 13(6): 799-808 (2005)
59EEShaoning 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)
57EELiang 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)
56EEZeke 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)
55EESeiichi 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)
54EEZeke 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)
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
52EELiang Goh, Qun Song, Nikola K. Kasabov: A Novel Feature Selection Method to Improve Classification of Gene Expression Data. APBC 2004: 161-166
51EENikola Kasabov: Discovering Rules of Adaptation and Interaction: From Molecules and Gene Interaction to Brain Functions. HIS 2004: 3
50EEDavid Zhang, Akbar Ghobakhlou, Nikola K. Kasabov: An adaptive model of person identification combining speech and image information. ICARCV 2004: 413-418
49EEShaoning Pang, Seiichi Ozawa, Nikola Kasabov: One-Pass Incremental Membership Authentication by Face Classification. ICBA 2004: 155-161
48EENikola 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
47EEAkbar Ghobakhlou, David Zhang, Nikola Kasabov: An Evolving Neural Network Model for Person Verification Combining Speech and Image. ICONIP 2004: 381-386
46EEQun Song, Nikola K. Kasabov: TWRBF - Transductive RBF Neural Network with Weighted Data Normalization. ICONIP 2004: 633-640
45EESnjezana 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
44EESeiichi Ozawa, Shaoning Pang, Nikola Kasabov: A Modified Incremental Principal Component Analysis for On-Line Learning of Feature Space and Classifier. PRICAI 2004: 231-240
43EENikola K. Kasabov, Shaoning Pang: Editorial. Int. J. Comput. Syst. Signal 5(2): 1 (2004)
42EEAkbar 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)
41EEZeke 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)
40EENikola 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
39EEMatthias 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)
38EELorenzo 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)
37EENikola K. Kasabov: Spoken language analysis, modeling and recognition - Cstatistical and adaptive connectionist approaches. Inf. Sci. 156(1-2): 1-2 (2003)
36EEWaleed H. Abdulla, Nikola Kasabov: Reduced feature-set based parallel CHMM speech recognition systems. Inf. Sci. 156(1-2): 21-38 (2003)
35EEAkbar Ghobakhlou, Michael J. Watts, Nikola K. Kasabov: Adaptive speech recognition with evolving connectionist systems. Inf. Sci. 156(1-2): 71-83 (2003)
34EEMark 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)
33EEDa Deng, Nikola K. Kasabov: On-line pattern analysis by evolving self-organizing maps. Neurocomputing 51: 87-103 (2003)
32 Brendon J. Woodford, Nikola K. Kasabov: Ensembles of EFuNNs: An Architecture for a Mutlimodule Classifier. FUZZ-IEEE 2001: 1573-1576
31EEDa 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)
29EENikola 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)
28EENikola K. Kasabov: On-line learning, reasoning, rule extraction and aggregation in locally optimized evolving fuzzy neural networks. Neurocomputing 41(1-4): 25-45 (2001)
27EEIrena Koprinska, Nikola K. Kasabov: Evolving Fuzzy Neural Network for Camera Operations Recognition. ICPR 2000: 2523-2526
26EENikola 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
25EEDa 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)
22EENikola K. Kasabov, Steven A. Israel, Brendon J. Woodford: The Application of Hybrid Evolving Connectionist Systems to Image Classification. JACIII 4(1): 57-65 (2000)
21EEJaesoo Kim, Nikola K. Kasabov: HyFIS: adaptive neuro-fuzzy inference systems and their application to nonlinear dynamical systems. Neural Networks 12(9): 1301-1319 (1999)
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)
15EENikola K. Kasabov: The ECOS Framework and the ECO Learning Method for Evolving Connectionist Systems. JACIII 2(6): 195-202 (1998)
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)
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)
11EENikola K. Kasabov: Adaptable neuro production systems. Neurocomputing 13(2-4): 95-117 (1996)
10EEMax 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
9EEMax 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
8EENikola 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
7EENikola 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)
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
5 Nikola K. Kasabov: Connectionist Fuzzy Production Systems. Fuzzy Logic in Artificial Intelligence 1993: 114-128
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
2 Nikola K. Kasabov: Hybrid Connectionist Rule-Based Systems. AIMSA 1990: 227-235
1EENikola K. Kasabov, G. T. Bijev, B. J. Jechev: Hierarchical discrete systems and realisation of parallel algorithms. CONPAR 1981: 414-422

Coauthor Index

1Waleed H. Abdulla [36]
2Shigeo Abe [55]
3Hojjat Adeli [58]
4Plamen P. Angelov [97]
5Boris Bacic [89]
6Max Bailey [9] [10]
7Tao Ban [116]
8Mike Barley [65]
9Flavio Bazzana [38]
10Lubica Benusková (Lubica Benuskova) [62] [68] [73] [76] [77] [78] [80] [82] [84] [86] [90] [92] [94] [100] [101]
11G. T. Bijev [1]
12Zeke S. H. Chan [41] [48] [54] [56] [69] [70] [98]
13George G. Coghill [117] [118]
14Tico Cohen [10] [29]
15Lesley Collins [56] [69] [70]
16Maria Cuzzola [115]
17Michael Defoin-Platel [87] [107] [112]
18Da Deng [25] [31] [33]
19Dimiter S. Dimitrov [48]
20Luca Erzegovesi [38]
21Mario Fedrizzi [38]
22Maurizio Fiasché [115]
23Dimitar Filev [97]
24Matthias E. Futschik [39]
25Akbar Ghobakhlou [35] [42] [47] [50]
26Liang Goh [52] [57]
27Sean W. Gordon [104]
28Paulo C. M. Gottgtroy [78] [84] [86] [100] [101]
29Andrew R. Gray [10] [13]
30Simon Greig [9]
31Ilkka Havukkala [73] [74] [83] [98] [101]
32H. Jaap van den Herik [23]
33Kaoru Hirota [14]
34Masayuki Hisada [111]
35Yingjie Hu [83] [88] [98] [101] [108]
36Pasquale Iacopino [115]
37Georgi Iliev [26]
38Steven A. Israel [22]
39Vishal Jain [48] [68] [73] [78] [84] [86] [94] [98] [100] [101]
40B. J. Jechev [1]
41Frances Joseph [78] [84] [86] [100]
42Youki Kadobayashi [116]
43Diana Kassabova [8]
44Richard Kilgour [8] [34]
45Jaesoo Kim [13] [21] [29]
46Mario Köppen [117] [118]
47Irena Koprinska [27]
48Robert Kozma [16] [17] [24] [29]
49Rene Kroon [73]
50T. Lane [40]
51Simon H. Lavington [7]
52Mark R. Laws [8] [34]
53S. Lin [7]
54Tianmin Ma [63] [64] [71] [79]
55Stephen G. MacDonell [89] [101]
56Mark Roger Marshall [64] [71]
57Peter Mason [10]
58Kazuya Matsumoto [110]
59M. Middlemiss [40]
60Francesco Carlo Morabito [115]
61Rajani K. Mudi [53]
62Daniel Nikovski [4]
63Ryota Nishioka [104]
64Seiichi Ozawa [44] [49] [55] [59] [61] [67] [91] [96] [110] [111]
65Nikhil R. Pal [53] [58]
66Srimanta Pal [53]
67Shaoning Pang [43] [44] [45] [49] [55] [59] [61] [67] [73] [74] [75] [83] [89] [91] [96] [99] [102] [104] [110] [111] [114] [116]
68Swapan K. Parui [53]
69Lora Peacock [45]
70Russel Pears [101] [106]
71S. H. Petkov [3]
72Eric O. Postma [23]
73Anthony Reeve [39]
74Lorenzo Rizzi [38]
75Elaine Rush [101] [109]
76Stefan Schliebs [87] [107] [112]
77Igor Sidorov [48]
78S. Sinclair [8]
79Clive Solomon [9]
80Snjezana Soltic [45] [103]
81Qun Song [46] [52] [60] [63] [64] [66] [71] [79] [101] [108] [109]
82Alex Tjahjana [101]
83Soon Lee Toh [55]
84Anju Verma [101] [109] [115]
85C. Wang [7]
86C. Watson [8]
87Michael J. Watts [13] [17] [18] [35]
88Harya Widiputra [106]
89Brendon J. Woodford [22] [32]
90Susan P. Worner [45] [112]
91Simei Gomes Wysoski [62] [68] [76] [77] [80] [86] [90] [92] [103]
92Takeshi Yamakawa [104]
93David Zhang (David Dapeng Zhang) [47] [50]
94Kau Zhang [111]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)