Vasant Honavar

	2011
162		Ganesh Ram Santhanam, Yuly Suvorov, Samik Basu, Vasant Honavar: Verifying Intervention Policies to Counter Infection Propagation over Networks: A Model Checking Approach. AAAI 2011
161		Ganesh Ram Santhanam, Samik Basu, Vasant Honavar: Identifying Sustainable Designs Using Preferences over Sustainability Attributes. AAAI Spring Symposium: Artificial Intelligence and Sustainable Design 2011
160		Kewei Tu, Vasant Honavar: On the Utility of Curricula in Unsupervised Learning of Probabilistic Grammars. IJCAI 2011: 1523-1528
159		Harris T. Lin, Neeraj Koul, Vasant Honavar: Learning Relational Bayesian Classifiers from RDF Data. International Semantic Web Conference (1) 2011: 389-404
158		Kewei Tu, Xixiu Ouyang, Dingyi Han, Vasant Honavar: Exemplar-based Robust Coherent Biclustering. SDM 2011: 884-895
157		Li C. Xue, Drena Dobbs, Vasant Honavar: HomPPI: A Class of Sequence Homology Based Protein-Protein Interface Prediction Methods. BMC Bioinformatics 12: 244 (2011)
156		Adrian Silvescu, Vasant Honavar: Abstraction Super-structuring Normal Forms: Towards a Theory of Structural Induction CoRR abs/1107.0434: (2011)
155		Yasser El-Manzalawy, Drena Dobbs, Vasant Honavar: Predicting MHC-II Binding Affinity Using Multiple Instance Regression. IEEE/ACM Trans. Comput. Biology Bioinform. 8(4): 1067-1079 (2011)
154		Ganesh Ram Santhanam, Samik Basu, Vasant Honavar: Representing and Reasoning with Qualitative Preferences for Compositional Systems. J. Artif. Intell. Res. (JAIR) 42: 211-274 (2011)
153		Benjamin A. Lewis, Rasna R. Walia, Michael Terribilini, Jeff Ferguson, Charles Zheng, Vasant Honavar, Drena Dobbs: PRIDB: a protein-RNA interface database. Nucleic Acids Research 39(Database-Issue): 277-282 (2011)
	2010
152		Ganesh Ram Santhanam, Samik Basu, Vasant Honavar: Dominance Testing via Model Checking. AAAI 2010
151		Cornelia Caragea, Adrian Silvescu, Doina Caragea, Vasant Honavar: Semi-supervised sequence classification using abstraction augmented Markov models. BCB 2010: 257-264
150		Yasser El-Manzalawy, Vasant Honavar: A framework for developing epitope prediction tools. BCB 2010: 660-662
149		Neeraj Koul, Ngot Bui, Vasant Honavar: Scalable, updatable predictive models for sequence data. BIBM 2010: 681-685
148		Cornelia Caragea, Adrian Silvescu, Doina Caragea, Vasant Honavar: Abstraction Augmented Markov Models. ICDM 2010: 68-77
147		Sushain Pandit, Vasant Honavar: Ontology-guided Extraction of Complex Nested Relationships. ICTAI (2) 2010: 173-178
146		Hongyu Sun, Samik Basu, Vasant Honavar, Robyn R. Lutz: Automata-Based Verification of Security Requirements of Composite Web Services. ISSRE 2010: 348-357
145		Ganesh Ram Santhanam, Samik Basu, Vasant Honavar: Efficient Dominance Testing for Unconditional Preferences. KR 2010
144		Bhavesh Sanghvi, Neeraj Koul, Vasant Honavar: Identifying and Eliminating Inconsistencies in Mappings across Hierarchical Ontologies. OTM Conferences (2) 2010: 999-1008
143		Jia Tao, Giora Slutzki, Vasant Honavar: Secrecy-Preserving Query Answering for Instance Checking in EL\mathcal{EL}. RR 2010: 195-203
142		Dinanath Nadkarni, Samik Basu, Vasant Honavar, Robyn R. Lutz: Failure Analysis for Composition of Web Services Represented as Labeled Transition Systems. WS-FM 2010: 161-175
141		Neeraj Koul, Vasant Honavar: Learning in Presence of Ontology Mapping Errors. Web Intelligence 2010: 291-296
140		Fadi Towfic, Susan VanderPlas, Casey A. Oliver, Oliver Couture, Christopher K. Tuggle, M. Heather West Greenlee, Vasant Honavar: Detection of gene orthology from gene co-expression and protein interaction networks. BMC Bioinformatics 11(S-3): 7 (2010)
139		Fadi Towfic, Cornelia Caragea, David C. Gemperline, Drena Dobbs, Vasant Honavar: Struct-NB: predicting protein-RNA binding sites using structural features. IJDMB 4(1): 21-43 (2010)
	2009
138		Fadi Towfic, M. Heather West Greenlee, Vasant Honavar: Detection of Gene Orthology Based on Protein-Protein Interaction Networks. BIBM 2009: 48-53
137		Yasser El-Manzalawy, Vasant Honavar: MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio. Discovery Science 2009: 80-91
136		Adrian Silvescu, Cornelia Caragea, Vasant Honavar: Combining Super-Structuring and Abstraction on Sequence Classification. ICDM 2009: 986-991
135		Neeraj Koul, Vasant Honavar: Design and Implementation of a Query Planner for Data Integration. ICTAI 2009: 214-218
134		Cornelia Caragea, Doina Caragea, Vasant Honavar: Learning Link-Based Classifiers from Ontology-Extended Textual Data. ICTAI 2009: 354-361
133		Ganesh Ram Santhanam, Samik Basu, Vasant Honavar: Web Service Substitution Based on Preferences Over Non-functional Attributes. IEEE SCC 2009: 210-217
132		Cornelia Caragea, Doina Caragea, Vasant Honavar: Learning Link-Based Naïve Bayes Classifiers from Ontology-Extended Distributed Data. OTM Conferences (2) 2009: 1139-1146
131		Oksana Yakhnenko, Vasant Honavar: Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence. SDM 2009: 281-294
130		Fadi Towfic, M. Heather West Greenlee, Vasant Honavar: Aligning Biomolecular Networks Using Modular Graph Kernels. WABI 2009: 345-361
129		Doina Caragea, Vasant Honavar: Knowledge Acquisition from Semantically Heterogeneous Data. Encyclopedia of Data Warehousing and Mining 2009: 1110-1116
128		Cornelia Caragea, Vasant Honavar: Machine Learning in Computational Biology. Encyclopedia of Database Systems 2009: 1663-1667
127		Jie Bao, George Voutsadakis, Giora Slutzki, Vasant Honavar: Package-Based Description Logics. Modular Ontologies 2009: 349-371
126		Cornelia Caragea, Jivko Sinapov, Drena Dobbs, Vasant Honavar: Mixture of experts models to exploit global sequence similarity on biomolecular sequence labeling. BMC Bioinformatics 10(S-4): (2009)
125		Facundo Bromberg, Dimitris Margaritis, Vasant Honavar: Efficient Markov Network Structure Discovery Using Independence Tests. J. Artif. Intell. Res. (JAIR) 35: 449-484 (2009)
	2008
124		Bernardo Cuenca Grau, Vasant Honavar, Anne Schlicht, Frank Wolter: Proceedings of the 2nd International Workshop on Modular Ontologies, WoMO 2007, Whistler, Canada, October 28, 2007 CEUR-WS.org 2008
123		Jie Bao, George Voutsadakis, Giora Slutzki, Vasant Honavar: On the Decidability of Role Mappings between Modular Ontologies. AAAI 2008: 400-405
122		Vasant Honavar, Doina Caragea: Towards Semantics-Enabled Distributed Infrastructure for Knowledge Acquisition. AAAI Spring Symposium: Semantic Scientific Knowledge Integration 2008: 29-35
121		Cornelia Caragea, Jivko Sinapov, Drena Dobbs, Vasant Honavar: Using Global Sequence Similarity to Enhance Biological Sequence Labeling. BIBM 2008: 104-111
120		Yasser El-Manzalawy, Drena Dobbs, Vasant Honavar: Predicting Protective Linear B-Cell Epitopes Using Evolutionary Information. BIBM 2008: 289-292
119		Neeraj Koul, Jim Lathrop, Jack H. Lutz, Vasant Honavar: Complexes of on-line self assembly. EIT 2008: 448-452
118		Kewei Tu, Vasant Honavar: Unsupervised Learning of Probabilistic Context-Free Grammar using Iterative Biclustering. ICGI 2008: 224-237
117		Ganesh Ram Santhanam, Samik Basu, Vasant Honavar: TCP-Compose* - A TCP-Net Based Algorithm for Efficient Composition of Web Services Using Qualitative Preferences. ICSOC 2008: 453-467
116		Hyunsung Jo, Yong-chan Na, Byonghwa Oh, Jihoon Yang, Vasant Honavar: Attribute Value Taxonomy Generation through Matrix Based Adaptive Genetic Algorithm. ICTAI (1) 2008: 393-400
115		Jyotishman Pathak, Samik Basu, Vasant Honavar: Composing Web Services through Automatic Reformulation of Service Specifications. IEEE SCC (1) 2008: 361-369
114		Jae-Hyung Lee, Michael Hamilton, Colin Gleeson, Cornelia Caragea, Peter Zaback, Jeffry D. Sander, Li C. Xue, Feihong Wu, Michael Terribilini, Vasant Honavar, Drena Dobbs: Striking Similarities in Diverse Telomerase Proteins Revealed by Combining Structure Prediction and Machine Learning Approaches. Pacific Symposium on Biocomputing 2008: 501-512
113		Ganesh Ram Santhanam, Samik Basu, Vasant Honavar: On Utilizing Qualitative Preferences in Web Service Composition: A CP-net Based Approach. SERVICES I 2008: 538-544
112		George Voutsadakis, Giora Slutzki, Vasant Honavar, Jie Bao: Federated ALCI: Preliminary Report. Web Intelligence 2008: 575-578
111		Neeraj Koul, Cornelia Caragea, Vasant Honavar, Vikas Bahirwani, Doina Caragea: Learning Classifiers from Large Databases Using Statistical Queries. Web Intelligence 2008: 923-926
110		Doina Caragea, Dianne Cook, Hadley Wickham, Vasant Honavar: Visual Methods for Examining SVM Classifiers. Visual Data Mining 2008: 136-153
109		Myron Peto, Andrzej Kloczkowski, Vasant Honavar, Robert L. Jernigan: Use of machine learning algorithms to classify binary protein sequences as highly-designable or poorly-designable. BMC Bioinformatics 9: (2008)
108		Jyotishman Pathak, Samik Basu, Robyn R. Lutz, Vasant Honavar: MOSCOE: an Approach for Composing Web Services through Iterative Reformulation of Functional Specifications. International Journal on Artificial Intelligence Tools 17(1): 109-138 (2008)
	2007
107		Peter Haase, Vasant Honavar, Oliver Kutz, York Sure, Andrei Tamilin: Proceedings of the 1st International Workshop on Modular Ontologies, WoMO'06, co-located with the International Semantic Web Conference, ISWC'06 November 5, 2006, Athens, Georgia, USA CEUR-WS.org 2007
106		Jie Bao, Giora Slutzki, Vasant Honavar: A Semantic Importing Approach to Knowledge Reuse from Multiple Ontologies. AAAI 2007: 1304-1309
105		Cornelia Caragea, Jivko Sinapov, Vasant Honavar, Drena Dobbs: Assessing the Performance of Macromolecular Sequence Classifiers. BIBE 2007: 320-326
104		Feihong Wu, Fadi Towfic, Drena Dobbs, Vasant Honavar: Analysis of Protein Protein Dimeric Interfaces. BIBM 2007: 35
103		Jyotishman Pathak, Samik Basu, Vasant Honavar: On Context-Specific Substitutability of Web Services. ICWS 2007: 192-199
102		James D. McCalley, Vasant Honavar, Sarah M. Ryan, William Q. Meeker, Daji Qiao, Ronald A. Roberts, Yuan Li, Jyotishman Pathak, Mujing Ye, Yili Hong: Integrated Decision Algorithms for Auto-steered Electric Transmission System Asset Management. International Conference on Computational Science (1) 2007: 1066-1073
101		Jie Bao, Giora Slutzki, Vasant Honavar: Privacy-Preserving Reasoning on the SemanticWeb. Web Intelligence 2007: 791-797
100		Jyotishman Pathak, Samik Basu, Vasant Honavar: Assembling Composite Web Services from Autonomous Components. Emerging Artificial Intelligence Applications in Computer Engineering 2007: 394-405
99		Joshua Clifford Bongard, Derek P. Brock, Samuel G. Collins, Ramani Duraiswami, Tim Finin, Ian Harrison, Vasant Honavar, Gregory S. Hornby, Ari Jonsson, Mike Kassoff, David Kortenkamp, Sanjeev Kumar, Ken Murray, Alexander I. Rudnicky, Goran Trajkovski: Reports on the 2006 AAAI Fall Symposia. AI Magazine 28(1): 88-92 (2007)
98		Carson M. Andorf, Drena Dobbs, Vasant Honavar: Exploring inconsistencies in genome-wide protein function annotations: a machine learning approach. BMC Bioinformatics 8: (2007)
97		Cornelia Caragea, Jivko Sinapov, Adrian Silvescu, Drena Dobbs, Vasant Honavar: Glycosylation site prediction using ensembles of Support Vector Machine classifiers. BMC Bioinformatics 8: (2007)
96		Michael Terribilini, Jeffry D. Sander, Jae-Hyung Lee, Peter Zaback, Robert L. Jernigan, Vasant Honavar, Drena Dobbs: RNABindR: a server for analyzing and predicting RNA-binding sites in proteins. Nucleic Acids Research 35(Web-Server-Issue): 578-584 (2007)
	2006
95		Keunjoon Lee, Jinu Joo, Jihoon Yang, Vasant Honavar: Experimental Comparison of Feature Subset Selection Using GA and ACO Algorithm. ADMA 2006: 465-472
94		Jie Bao, Doina Caragea, Vasant Honavar: Modular Ontologies - A Formal Investigation of Semantics and Expressivity. ASWC 2006: 616-631
93		Jie Bao, Zhiliang Hu, Doina Caragea, James Reecy, Vasant Honavar: A Tool for Collaborative Construction of Large Biological Ontologies. DEXA Workshops 2006: 191-195
92		Doina Caragea, Jun Zhang, Jyotishman Pathak, Vasant Honavar: Learning Classifiers from Distributed, Ontology-Extended Data Sources. DaWaK 2006: 363-373
91		Jyotishman Pathak, Samik Basu, Robyn R. Lutz, Vasant Honavar: Parallel Web Service Composition in MoSCoE: A Choreography-Based Approach. ECOWS 2006: 3-12
90		Jyotishman Pathak, Yong Jiang, Vasant Honavar, James D. McCalley: Condition Data Aggregation with Application to Failure Rate Calculation of Power Transformers. HICSS 2006
89		Jyotishman Pathak, Samik Basu, Robyn R. Lutz, Vasant Honavar: MoSCoE: A Framework for Modeling Web Service Composition and Execution. ICDE Workshops 2006: 143
88		Jyotishman Pathak, Samik Basu, Vasant Honavar: Modeling Web Services by Iterative Reformulation of Functional and Non-functional Requirements. ICSOC 2006: 314-326
87		Jyotishman Pathak, Yuan Li, Vasant Honavar, James D. McCalley: A Service-Oriented Architecture for Electric Power Transmission System Asset Management. ICSOC Workshops 2006: 26-37
86		Jyotishman Pathak, Samik Basu, Robyn R. Lutz, Vasant Honavar: Selecting and Composing Web Services through Iterative Reformulation of Functional Specifications. ICTAI 2006: 445-454
85		Adrian Silvescu, Vasant Honavar: Independence, Decomposability and Functions which Take Values into an Abelian Group. ISAIM 2006
84		James D. McCalley, Vasant Honavar, Sarah M. Ryan, William Q. Meeker, Ronald A. Roberts, Daji Qiao, Yuan Li: Auto-steered Information-Decision Processes for Electric System Asset Management. International Conference on Computational Science (3) 2006: 440-447
83		Jie Bao, Doina Caragea, Vasant Honavar: On the Semantics of Linking and Importing in Modular Ontologies. International Semantic Web Conference 2006: 72-86
82		Jie Bao, Doina Caragea, Vasant Honavar: Package-Based Description Logics - Preliminary Results. International Semantic Web Conference 2006: 967-969
81		Jie Bao, Vasant Honavar: Adapt OWL as a Modular Ontology Language. OWLED 2006
80		Dae-Ki Kang, Adrian Silvescu, Vasant Honavar: RNBL-MN: A Recursive Naive Bayes Learner for Sequence Classification. PAKDD 2006: 45-54
79		Flavian Vasile, Adrian Silvescu, Dae-Ki Kang, Vasant Honavar: TRIPPER: Rule Learning Using Taxonomies. PAKDD 2006: 55-59
78		Facundo Bromberg, Dimitris Margaritis, Vasant Honavar: Efficient Markov Network Structure Discovery using Independence Tests. SDM 2006
77		Jie Bao, Doina Caragea, Vasant Honavar: A Tableau-Based Federated Reasoning Algorithm for Modular Ontologies. Web Intelligence 2006: 404-410
76		Jie Bao, Vasant Honavar: Divide and Conquer Semantic Web with Modular Ontologies - A Brief Review of Modular Ontology Language Formalisms. WoMO 2006
75		Changhui Yan, Michael Terribilini, Feihong Wu, Robert L. Jernigan, Drena Dobbs, Vasant Honavar: Predicting DNA-binding sites of proteins from amino acid sequence. BMC Bioinformatics 7: 262 (2006)
74		Yanxin Wang, Smruti Ranjan Behera, Johnny Wong, Guy G. Helmer, Vasant Honavar, Les Miller, Robyn R. Lutz, Mark Slagell: Towards the automatic generation of mobile agents for distributed intrusion detection system. Journal of Systems and Software 79(1): 1-14 (2006)
73		Jun Zhang, Dae-Ki Kang, Adrian Silvescu, Vasant Honavar: Learning accurate and concise naïve Bayes classifiers from attribute value taxonomies and data. Knowl. Inf. Syst. 9(2): 157-179 (2006)
	2005
72		Cornelia Caragea, Doina Caragea, Vasant Honavar: Learning Support Vector Machines from Distributed Data Sources. AAAI 2005: 1602-1603
71		Doina Caragea, Jun Zhang, Jie Bao, Jyotishman Pathak, Vasant Honavar: Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information Sources. ALT 2005: 13-44
70		Doina Caragea, Jie Bao, Jyotishman Pathak, Adrian Silvescu, Carson M. Andorf, Drena Dobbs, Vasant Honavar: Information Integration from Semantically Heterogeneous Biological Data Sources. DEXA Workshops 2005: 580-584
69		Doina Caragea, Jyotishman Pathak, Jie Bao, Adrian Silvescu, Carson M. Andorf, Drena Dobbs, Vasant Honavar: Information Integration and Knowledge Acquisition from Semantically Heterogeneous Biological Data Sources. DILS 2005: 175-190
68		Doina Caragea, Jun Zhang, Jie Bao, Jyotishman Pathak, Vasant Honavar: Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information Sources. Discovery Science 2005: 14
67		Jun Zhang, Doina Caragea, Vasant Honavar: Learning Ontology-Aware Classifiers. Discovery Science 2005: 308-321
66		Oksana Yakhnenko, Adrian Silvescu, Vasant Honavar: Discriminatively Trained Markov Model for Sequence Classification. ICDM 2005: 498-505
65		Dae-Ki Kang, Doug Fuller, Vasant Honavar: Learning Classifiers for Misuse Detection Using a Bag of System Calls Representation. ISI 2005: 511-516
64		Dae-Ki Kang, Jun Zhang, Adrian Silvescu, Vasant Honavar: Multinomial Event Model Based Abstraction for Sequence and Text Classification. SARA 2005: 134-148
63		Feihong Wu, Jun Zhang, Vasant Honavar: Learning Classifiers Using Hierarchically Structured Class Taxonomies. SARA 2005: 313-320
62		Jyotishman Pathak, Neeraj Koul, Doina Caragea, Vasant Honavar: A framework for semantic web services discovery. WIDM 2005: 45-50
61		Michael Terribilini, Jae-Hyung Lee, Changhui Yan, Robert L. Jernigan, Susan Carpenter, Vasant Honavar, Drena Dobbs: Identifying Interaction Sites in "Recalcitrant" Proteins: Predicted Protein and Rna Binding Sites in Rev Proteins of Hiv-1 and Eiav Agree with Experimental Data CoRR abs/cs/0511075: (2005)
	2004
60		Doina Caragea, Jyotishman Pathak, Vasant Honavar: Learning Classifiers from Semantically Heterogeneous Data. CoopIS/DOA/ODBASE (2) 2004: 963-980
59		Jinu Joo, Jun Zhang, Jihoon Yang, Vasant Honavar: Generating AVTs Using GA for Learning Decision Tree Classifiers with Missing Data. Discovery Science 2004: 347-354
58		Dae-Ki Kang, Adrian Silvescu, Jun Zhang, Vasant Honavar: Generation of Attribute Value Taxonomies from Data for Data-Driven Construction of Accurate and Compact Classifiers. ICDM 2004: 130-137
57		Jun Zhang, Vasant Honavar: AVT-NBL: An Algorithm for Learning Compact and Accurate Naïve Bayes Classifiers from Attribute Value Taxonomies and Data. ICDM 2004: 289-296
56		Jie Bao, Yu Cao, Wallapak Tavanapong, Vasant Honavar: Integration of Domain-Specific and Domain-Independent Ontologies for Colonoscopy Video Database Annotation. IKE 2004: 82-90
55		Changhui Yan, Drena Dobbs, Vasant Honavar: A two-stage classifier for identification of protein-protein interface residues. ISMB/ECCB (Supplement of Bioinformatics) 2004: 371-378
54		Jyotishman Pathak, Doina Caragea, Vasant Honavar: Ontology-Extended Component-Based Workflows : A Framework for Constructing Complex Workflows from Semantically Heterogeneous Software Components. SWDB 2004: 41-56
53		Taner Z. Sen, Andrzej Kloczkowski, Robert L. Jernigan, Changhui Yan, Vasant Honavar, Kai-Ming Ho, Cai-Zhuang Wang, Yungok Ihm, Haibo Cao, Xun Gu, Drena Dobbs: Predicting binding sites of hydrolase-inhibitor complexes by combining several methods. BMC Bioinformatics 5: 205 (2004)
52		Doina Caragea, Adrian Silvescu, Vasant Honavar: A Framework for Learning from Distributed Data Using Sufficient Statistics and Its Application to Learning Decision Trees. Int. J. Hybrid Intell. Syst. 1(2): 80-89 (2004)
51		Changhui Yan, Vasant Honavar, Drena Dobbs: Identification of interface residues in protease-inhibitor and antigen-antibody complexes: a support vector machine approach. Neural Computing and Applications 13(2): 123-129 (2004)
	2003
50		Doina Caragea, Dianne Cook, Vasant Honavar: Towards Simple, Easy-to-Understand, yet Accurate Classifiers. ICDM 2003: 497-500
49		Jun Zhang, Vasant Honavar: Learning from Attribute Value Taxonomies and Partially Specified Instances. ICML 2003: 880-887
48		Doina Caragea, Jaime Reinoso, Adrian Silvescu, Vasant Honavar: Statistics Gathering for Learning from Distributed, Heterogeneous and Autonomous Data Sources. IIWeb 2003: 99-104
47		Anna Atramentov, Hector Leiva, Vasant Honavar: A Multi-relational Decision Tree Learning Algorithm - Implementation and Experiments. ILP 2003: 38-56
46		Jaime Reinoso, Adrian Silvescu, Doina Caragea, Jyotishman Pathak, Vasant Honavar: Information Extraction and Integration from Heterogeneous, Distributed, Autonomous Information Sources : A Federated Ontology-Driven Query-Centric Approach. IRI 2003: 183-191
45		Doina Caragea, Adrian Silvescu, Vasant Honavar: Learning Decision Trees form Distributed Heterogeneous Autonomous Data. MAICS 2003: 10-17
44		Xiangyun Wang, Diane Schroeder, Drena Dobbs, Vasant Honavar: Automated data-driven discovery of motif-based protein function classifiers. Inf. Sci. 155(1-2): 1-18 (2003)
43		Guy G. Helmer, Johnny S. Wong, Vasant Honavar, Les Miller, Yanxin Wang: Lightweight agents for intrusion detection. Journal of Systems and Software 67(2): 109-122 (2003)
	2002
42		H. John Caulfield, Shu-Heng Chen, Heng-Da Cheng, Richard J. Duro, Vasant Honavar, Etienne E. Kerre, Mi Lu, Manuel Graña Romay, Timothy K. Shih, Dan Ventura, Paul P. Wang, Yuanyuan Yang: Proceedings of the 6th Joint Conference on Information Science, March 8-13, 2002, Research Triangle Park, North Carolina, USA JCIS / Association for Intelligent Machinery, Inc. 2002
41		William B. Langdon, Erick Cantú-Paz, Keith E. Mathias, Rajkumar Roy, David Davis, Riccardo Poli, Karthik Balakrishnan, Vasant Honavar, Günter Rudolph, Joachim Wegener, Larry Bull, Mitchell A. Potter, Alan C. Schultz, Julian F. Miller, Edmund K. Burke, Natasa Jonoska: GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, New York, USA, 9-13 July 2002 Morgan Kaufmann 2002
40		Xiangyun Wang, Diane Schroeder, Drena Dobbs, Vasant Honavar: Data-Driven Discovery of Protein Function Classifiers: Decision Trees Based on MEME Motifs outperform PROSITE Patterns and Profiles on Peptidase Families. JCIS 2002: 1193-1199
39		Carson M. Andorf, Drena Dobbs, Vasant Honavar: Discovering Protein Function Classification Rules from Reduced Alphabet Representations of Protein Sequences. JCIS 2002: 1200-1206
38		Jun Zhang, Adrian Silvescu, Vasant Honavar: Ontology-Driven Induction of Decision Trees at Multiple Levels of Abstraction. SARA 2002: 316-323
37		Guy G. Helmer, Johnny S. Wong, Vasant Honavar, Les Miller: Automated discovery of concise predictive rules for intrusion detection. Journal of Systems and Software 60(3): 165-175 (2002)
36		Guy G. Helmer, Johnny S. Wong, Mark Slagell, Vasant Honavar, Les Miller, Robyn R. Lutz: A Software Fault Tree Approach to Requirements Analysis of an Intrusion Detection System. Requir. Eng. 7(4): 207-220 (2002)
	2001
35		Doina Caragea, Adrian Silvescu, Vasant Honavar: Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources. Emergent Neural Computational Architectures Based on Neuroscience 2001: 547-559
34		Doina Caragea, Dianne Cook, Vasant Honavar: Gaining insights into support vector machine pattern classifiers using projection-based tour methods. KDD 2001: 251-256
33		Robi Polikar, L. Upda, S. S. Upda, Vasant Honavar: Learn++: an incremental learning algorithm for supervised neural networks. IEEE Transactions on Systems, Man, and Cybernetics, Part C 31(4): 497-508 (2001)
32		Johnny Wong, Guy G. Helmer, Venkatraman Naganathan, Sriniwas Polavarapu, Vasant Honavar, Les Miller: SMART mobile agent facility. Journal of Systems and Software 56(1): 9-22 (2001)
31		Armin R. Mikler, Vasant Honavar, Johnny S. Wong: Autonomous agents for coordinated distributed parameterized heuristic routing in large dynamic communication networks. Journal of Systems and Software 56(3): 231-246 (2001)
30		Vasant Honavar, Colin de la Higuera: Introduction. Machine Learning 44(1/2): 5-7 (2001)
29		Rajesh Parekh, Vasant Honavar: Learning DFA from Simple Examples. Machine Learning 44(1/2): 9-35 (2001)
	2000
28		Doina Caragea, Adrian Silvescu, Vasant Honavar: Incremental and Distributed Learning with Support Vector Machines. AAAI/IAAI 2000: 1067
27		Rajesh Parekh, Vasant Honavar: On the Relationship between Models for Learning in Helpful Environments. ICGI 2000: 207-220
26		Prashant Pai, Leslie L. Miller, Vasant Honavar, Johnny Wong, Sree Nilakanta: Supporting organizational knowledge management with agents. IRMA Conference 2000: 325-329
25		Mokdong Chug, Vasant Honavar: A Negotiation Model in Agent-mediated Electronic Commerce. ISMSE 2000: 403-410
24		Rajesh Parekh, Jihoon Yang, Vasant Honavar: Constructive neural-network learning algorithms for pattern classification. IEEE Trans. Neural Netw. Learning Syst. 11(2): 436-451 (2000)
	1999
23		Wolfgang Banzhaf, Jason M. Daida, A. E. Eiben, Max H. Garzon, Vasant Honavar, Mark J. Jakiela, Robert E. Smith: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 13-17 July 1999, Orlando, Florida, USA Morgan Kaufmann 1999
22		Guy G. Helmer, Johnny S. Wong, Vasant Honavar, Les Miller: Feature Selection Using a Genetic Algorithm for Intrusion Detection. GECCO 1999: 1781
21		Rajesh Parekh, Vasant Honavar: Simple DFA are Polynomially Probably Exactly Learnable from Simple Examples. ICML 1999: 298-306
20		Jihoon Yang, Rajesh Parekh, Vasant Honavar, Drena Dobbs: Data-Driven Theory Refinement Using KBDistAl. IDA 1999: 331-342
19		Ron Sun, Vasant Honavar, Gregg C. Oden: Integration of cognitive systems across disciplinary boundaries. Cognitive Systems Research 1(1): 1-3 (1999)
18		Chun-Hsien Chen, Vasant Honavar: A neural-network architecture for syntax analysis. IEEE Transactions on Neural Networks 10(1): 94-114 (1999)
17		Jihoon Yang, Rajesh Parekh, Vasant Honavar: DistAl: An inter-pattern distance-based constructive learning algorithm. Intell. Data Anal. 3(1): 55-73 (1999)
	1998
16		Vasant Honavar, Giora Slutzki: Grammatical Inference, 4th International Colloquium, ICGI-98, Ames, Iowa, USA, July 12-14, 1998, Proceedings Springer 1998
15		Rajesh Parekh, Codrin M. Nichitiu, Vasant Honavar: A Polynominal Time Incremental Algorithm for Learning DFA. ICGI 1998: 37-49
14		Jihoon Yang, Vasant Honavar: Feature Subset Selection Using a Genetic Algorithm. IEEE Intelligent Systems 13(2): 44-49 (1998)
13		Armin R. Mikler, Johnny S. K. Wong, Vasant Honavar: An object oriented approach to simulating large communication networks. Journal of Systems and Software 40(2): 151-164 (1998)
	1997
12		Rajesh Parekh, Vasant Honavar: Learning DFA from Simple Examples. ALT 1997: 116-131
11		Armin R. Mikler, Johnny S. Wong, Vasant Honavar: Quo Vadis - A Framework for Intelligent Routing in Large Communication Networks. Journal of Systems and Software 37(1): 61-73 (1997)
	1996
10		Armin R. Mikler, Vasant Honavar, Johnny S. Wong: Analysis of Utility-Theoretic Heuristics for Intelligent Adaptive Network Routing. AAAI/IAAI, Vol. 1 1996: 96-101
9		Karthik Balakrishnan, Vasant Honavar: Experiments in Evolutionary Synthesis of Robotic Neurocontrollers. AAAI/IAAI, Vol. 2 1996: 1378
8		Rajesh Parekh, Vasant Honavar: An Incremental Interactive Algorithm for Regular Grammar Inference. AAAI/IAAI, Vol. 2 1996: 1397
7		Rajesh Parekh, Jihoon Yang, Vasant Honavar: Constructive Neural Network Learning Algorithms. AAAI/IAAI, Vol. 2 1996: 1398
6		Rajesh Parekh, Vasant Honavar: An incremental interactive algorithm for grammar inference. ICGI 1996: 238-249
	1995
5		Chun-Hsien Chen, Vasant Honavar: A Neural Architecture for Content as well as Address-based Storage and Recall: Theory and Applications. Connect. Sci. 7(3-4): 281-300 (1995)
	1993
4		Vasant Honavar, Leonard Uhr: Generative learning structures and processes for generalized connectionist networks. Inf. Sci. 70(1-2): 75-108 (1993)
	1992
3		Vasant Honavar: Neural Network Design and the Complexity of Learning (Book Review). Machine Learning 9: 95-98 (1992)
	1990
2		Vasant Honavar, Leonard Uhr: Coordination and control structures and processes: possibilities for connectionist networks (CN). J. Exp. Theor. Artif. Intell. 2(4): 277-302 (1990)
	1989
1		Vasant Honavar, Leonard Uhr: Generation, Local Receptive Fields and Global Convergence Improve Perceptual Learning in Connectionist Networks. IJCAI 1989: 180-185

Coauthor Index

1	Carson M. Andorf	[39] [69] [70] [98]
2	Anna Atramentov	[47]
3	Vikas Bahirwani	[111]
4	Karthik Balakrishnan	[9] [41]
5	Wolfgang Banzhaf	[23]
6	Jie Bao	[56] [68] [69] [70] [71] [76] [77] [81] [82] [83] [93] [94] [101] [106] [112] [123] [127]
7	Samik Basu	[86] [88] [89] [91] [100] [103] [108] [113] [115] [117] [133] [142] [145] [146] [152] [154] [161] [162]
8	Smruti Ranjan Behera	[74]
9	Josh C. Bongard (Josh Bongard, Joshua Clifford Bongard)	[99]
10	Derek P. Brock	[99]
11	Facundo Bromberg	[78] [125]
12	Ngot Bui	[149]
13	Larry Bull	[41]
14	Edmund K. Burke	[41]
15	Erick Cantú-Paz	[41]
16	Haibo Cao	[53]
17	Yu Cao	[56]
18	Cornelia Caragea	[72] [97] [105] [111] [114] [121] [126] [128] [132] [134] [136] [139] [148] [151]
19	Doina Caragea	[28] [34] [35] [45] [46] [48] [50] [52] [54] [60] [62] [67] [68] [69] [70] [71] [72] [77] [82] [83] [92] [93] [94] [110] [111] [122] [129] [132] [134] [148] [151]
20	Susan Carpenter	[61]
21	H. John Caulfield	[42]
22	Chun-Hsien Chen	[5] [18]
23	Shu-Heng Chen	[42]
24	Heng-Da Cheng	[42]
25	Mokdong Chug	[25]
26	Samuel G. Collins	[99]
27	Dianne Cook	[34] [50] [110]
28	Oliver Couture	[140]
29	Jason M. Daida	[23]
30	David Davis	[41]
31	Drena Dobbs	[20] [39] [40] [44] [51] [53] [55] [61] [69] [70] [75] [96] [97] [98] [104] [105] [114] [120] [121] [126] [139] [153] [155] [157]
32	Ramani Duraiswami	[99]
33	Richard J. Duro	[42]
34	A. E. Eiben (Ágoston E. Eiben, Guszti Eiben)	[23]
35	Yasser El-Manzalawy	[120] [137] [150] [155]
36	Jeff Ferguson	[153]
37	Timothy W. Finin (Tim Finin)	[99]
38	Doug Fuller	[65]
39	Max H. Garzon	[23]
40	David C. Gemperline	[139]
41	Colin Gleeson	[114]
42	Bernardo Cuenca Grau	[124]
43	M. Heather West Greenlee	[130] [138] [140]
44	Xun Gu	[53]
45	Peter Haase	[107]
46	Michael Hamilton	[114]
47	Dingyi Han	[158]
48	Ian Harrison	[99]
49	Guy G. Helmer	[22] [32] [36] [37] [43] [74]
50	Colin de la Higuera	[30]
51	Kai-Ming Ho	[53]
52	Yili Hong	[102]
53	Gregory Hornby (Gregory S. Hornby)	[99]
54	Zhiliang Hu	[93]
55	Yungok Ihm	[53]
56	Mark J. Jakiela	[23]
57	Robert L. Jernigan	[53] [61] [75] [96] [109]
58	Yong Jiang	[90]
59	Hyunsung Jo	[116]
60	Natasa Jonoska (Natasha Jonoska)	[41]
61	Ari Jonsson	[99]
62	Jinu Joo	[59] [95]
63	Dae-Ki Kang	[58] [64] [65] [73] [79] [80]
64	Mike Kassoff	[99]
65	Etienne E. Kerre	[42]
66	Andrzej Kloczkowski	[53] [109]
67	David Kortenkamp	[99]
68	Neeraj Koul	[62] [111] [119] [135] [141] [144] [149] [159]
69	Sanjeev Kumar	[99]
70	Oliver Kutz	[107]
71	William B. Langdon	[41]
72	Jim Lathrop	[119]
73	Jae-Hyung Lee	[61] [96] [114]
74	Keunjoon Lee	[95]
75	Hector Leiva	[47]
76	Benjamin A. Lewis	[153]
77	Yuan Li	[84] [87] [102]
78	Harris T. Lin	[159]
79	Mi Lu	[42]
80	Jack H. Lutz	[119]
81	Robyn R. Lutz	[36] [74] [86] [89] [91] [108] [142] [146]
82	Dimitris Margaritis	[78] [125]
83	Keith E. Mathias	[41]
84	James D. McCalley	[84] [87] [90] [102]
85	William Q. Meeker	[84] [102]
86	Armin R. Mikler	[10] [11] [13] [31]
87	Julian Francis Miller (Julian F. Miller)	[41]
88	Leslie L. Miller (Les L. Miller, Les Miller)	[22] [26] [32] [36] [37] [43] [74]
89	Ken Murray	[99]
90	Yong-chan Na	[116]
91	Dinanath Nadkarni	[142]
92	Venkatraman Naganathan	[32]
93	Codrin M. Nichitiu	[15]
94	Sree Nilakanta	[26]
95	Gregg C. Oden	[19]
96	Byonghwa Oh	[116]
97	Casey A. Oliver	[140]
98	Xixiu Ouyang	[158]
99	Prashant Pai	[26]
100	Sushain Pandit	[147]
101	Rajesh Parekh	[6] [7] [8] [12] [15] [17] [20] [21] [24] [27] [29]
102	Jyotishman Pathak	[46] [54] [60] [62] [68] [69] [70] [71] [86] [87] [88] [89] [90] [91] [92] [100] [102] [103] [108] [115]
103	Myron Peto	[109]
104	Sriniwas Polavarapu	[32]
105	Riccardo Poli	[41]
106	Robi Polikar	[33]
107	Mitchell A. Potter	[41]
108	Daji Qiao	[84] [102]
109	James Reecy	[93]
110	Jaime Reinoso	[46] [48]
111	Ronald A. Roberts	[84] [102]
112	Manuel Graña Romay	[42]
113	Rajkumar Roy	[41]
114	Alexander I. Rudnicky	[99]
115	Günter Rudolph	[41]
116	Sarah M. Ryan	[84] [102]
117	Jeffry D. Sander	[96] [114]
118	Bhavesh Sanghvi	[144]
119	Ganesh Ram Santhanam	[113] [117] [133] [145] [152] [154] [161] [162]
120	Anne Schlicht	[124]
121	Diane Schroeder	[40] [44]
122	Alan C. Schultz	[41]
123	Taner Z. Sen	[53]
124	Timothy K. Shih	[42]
125	Adrian Silvescu	[28] [35] [38] [45] [46] [48] [52] [58] [64] [66] [69] [70] [73] [79] [80] [85] [97] [136] [148] [151] [156]
126	Jivko Sinapov	[97] [105] [121] [126]
127	Mark Slagell	[36] [74]
128	Giora Slutzki	[16] [101] [106] [112] [123] [127] [143]
129	Robert Elliott Smith (Robert E. Smith)	[23]
130	Hongyu Sun	[146]
131	Ron Sun	[19]
132	York Sure-Vetter (York Sure)	[107]
133	Yuly Suvorov	[162]
134	Andrei Tamilin	[107]
135	Jia Tao	[143]
136	Wallapak Tavanapong	[56]
137	Michael Terribilini	[61] [75] [96] [114] [153]
138	Fadi Towfic	[104] [130] [138] [139] [140]
139	Goran Trajkovski	[99]
140	Kewei Tu	[118] [158] [160]
141	Christopher K. Tuggle	[140]
142	Leonard Uhr	[1] [2] [4]
143	L. Upda	[33]
144	S. S. Upda	[33]
145	Susan VanderPlas	[140]
146	Flavian Vasile	[79]
147	Dan Ventura	[42]
148	George Voutsadakis	[112] [123] [127]
149	Rasna R. Walia	[153]
150	Cai-Zhuang Wang	[53]
151	Paul P. Wang	[42]
152	Xiangyun Wang	[40] [44]
153	Yanxin Wang	[43] [74]
154	Joachim Wegener	[41]
155	Hadley Wickham	[110]
156	Frank Wolter	[124]
157	Johnny S. Wong (Johnny Wong)	[10] [11] [22] [26] [31] [32] [36] [37] [43] [74]
158	Johnny S. K. Wong	[13]
159	Feihong Wu	[63] [75] [104] [114]
160	Li C. Xue	[114] [157]
161	Oksana Yakhnenko	[66] [131]
162	Changhui Yan	[51] [53] [55] [61] [75]
163	Jihoon Yang	[7] [14] [17] [20] [24] [59] [95] [116]
164	Yuanyuan Yang	[42]
165	Mujing Ye	[102]
166	Peter Zaback	[96] [114]
167	Jun Zhang	[38] [49] [57] [58] [59] [63] [64] [67] [68] [71] [73] [92]
168	Charles Zheng	[153]

Colors in the list of coauthors

Last update Fri May 25 01:42:58 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page