Vasant Honavar

Bing Citeseer DBLP Google Google Scholar Kosmix Wikipedia Yahoo!
Loading Google Thumbnails...
2012
169Predicting protective bacterial antigens using random forest classifiers. Yasser El-Manzalawy, Drena Dobbs, Vasant Honavar. BCB 2012, 426-433. Web SearchBibTeXDownload
168Protein-RNA interface residue prediction using machine learning: an assessment of the state of the art. Rasna R. Walia, Cornelia Caragea, Benjamin A. Lewis, Fadi Towfic, Michael Terribilini, Yasser El-Manzalawy, Drena Dobbs, Vasant Honavar. BMC Bioinformatics (13): 89 (2012). Web SearchBibTeXDownload
167Predicting protein-protein interface residues using local surface structural similarity. Rafael A. Jordan, Yasser El-Manzalawy, Drena Dobbs, Vasant Honavar. BMC Bioinformatics (13): 41 (2012). Web SearchBibTeXDownload
166Learning predictive models from large distributed autonomous data sources. Vasant Honavar. CIDU 2012, 1. Web SearchBibTeXDownload
165Unambiguity Regularization for Unsupervised Learning of Probabilistic Grammars. Kewei Tu, Vasant Honavar. EMNLP-CoNLL 2012, 1324-1334. Web SearchBibTeXDownload
164Model Checking of Qualitative Sensitivity Preferences to Minimize Credential Disclosure. Zachary J. Oster, Ganesh Ram Santhanam, Samik Basu, Vasant Honavar. FACS 2012, 205-223. Web SearchBibTeXDownload
163B-cell Ligand Processing Pathways Detected by Large-scale Comparative Analysis. Fadi Towfic, Shakti Gupta, Vasant Honavar, Shankar Subramaniam. Genomics, Proteomics & Bioinformatics (10): 142-152 (2012). Web SearchBibTeXDownload
162PSPACE Tableau Algorithms for Acyclic Modalized $\\boldsymbol{\\mathcal{ALC}}$. Jia Tao, Giora Slutzki, Vasant Honavar. J. Autom. Reasoning (49): 551-582 (2012). Web SearchBibTeXDownload
2011
161Verifying Intervention Policies to Counter Infection Propagation over Networks: A Model Checking Approach. Ganesh Ram Santhanam, Yuly Suvorov, Samik Basu, Vasant Honavar. AAAI 2011. Web SearchBibTeXDownload
160Identifying Sustainable Designs Using Preferences over Sustainability Attributes. Ganesh Ram Santhanam, Samik Basu, Vasant Honavar. AAAI Spring Symposium: Artificial Intelligence and Sustainable Design 2011. Web SearchBibTeXDownload
159Improving protein-RNA interface prediction by combining sequence homology based method with a naive Bayes classifier: preliminary results. Li C. Xue, Rasna R. Walia, Yasser El-Manzalawy, Drena Dobbs, Vasant Honavar. BCB 2011, 556-558. Web SearchBibTeXDownload
158Ranking docked models of protein-protein complexes using predicted partner-specific protein-protein interfaces: a preliminary study. Li C. Xue, Rafael A. Jordan, Yasser El-Manzalawy, Drena Dobbs, Vasant Honavar. BCB 2011, 441-445. Web SearchBibTeXDownload
157HomPPI: A Class of Sequence Homology Based Protein-Protein Interface Prediction Methods. Li C. Xue, Drena Dobbs, Vasant Honavar. BMC Bioinformatics (12): 244 (2011). Web SearchBibTeXDownload
156Predicting RNA-Protein Interactions Using Only Sequence Information. Usha Muppirala, Vasant Honavar, Drena Dobbs. BMC Bioinformatics (12): 489 (2011). Web SearchBibTeXDownload
155Multi-Instance Multi-Label Learning for Image Classification with Large Vocabularies. Oksana Yakhnenko, Vasant Honavar. BMVC 2011, 1-12. Web SearchBibTeXDownload
154Abstraction Super-structuring Normal Forms: Towards a Theory of Structural Induction. Adrian Silvescu, Vasant Honavar. CoRR (abs/1107.0434) (2011). Web SearchBibTeXDownload
153Predicting MHC-II Binding Affinity Using Multiple Instance Regression. Yasser El-Manzalawy, Drena Dobbs, Vasant Honavar. IEEE/ACM Trans. Comput. Biology Bioinform. (8): 1067-1079 (2011). Web SearchBibTeXDownload
152On the Utility of Curricula in Unsupervised Learning of Probabilistic Grammars. Kewei Tu, Vasant Honavar. IJCAI 2011, 1523-1528. Web SearchBibTeXDownload
151Learning Relational Bayesian Classifiers from RDF Data. Harris T. Lin, Neeraj Koul, Vasant Honavar. International Semantic Web Conference (1) 2011, 389-404. Web SearchBibTeXDownload
150Representing and Reasoning with Qualitative Preferences for Compositional Systems. Ganesh Ram Santhanam, Samik Basu, Vasant Honavar. J. Artif. Intell. Res. (JAIR) (42): 211-274 (2011). Web SearchBibTeXDownload
149PRIDB: a protein-RNA interface database. Benjamin A. Lewis, Rasna R. Walia, Michael Terribilini, Jeff Ferguson, Charles Zheng, Vasant Honavar, Drena Dobbs. Nucleic Acids Research (39): 277-282 (2011). Web SearchBibTeXDownload
148Exemplar-based Robust Coherent Biclustering. Kewei Tu, Xixiu Ouyang, Dingyi Han, Vasant Honavar. SDM 2011, 884-895. Web SearchBibTeXDownload
2010
147Dominance Testing via Model Checking. Ganesh Ram Santhanam, Samik Basu, Vasant Honavar. AAAI 2010. Web SearchBibTeXDownload
146Semi-supervised sequence classification using abstraction augmented Markov models. Cornelia Caragea, Adrian Silvescu, Doina Caragea, Vasant Honavar. BCB 2010, 257-264. Web SearchBibTeXDownload
145A framework for developing epitope prediction tools. Yasser El-Manzalawy, Vasant Honavar. BCB 2010, 660-662. Web SearchBibTeXDownload
144Scalable, updatable predictive models for sequence data. Neeraj Koul, Ngot Bui, Vasant Honavar. BIBM 2010, 681-685. Web SearchBibTeXDownload
143Detection of gene orthology from gene co-expression and protein interaction networks. Fadi Towfic, Susan VanderPlas, Casey A. Oliver, Oliver Couture, Christopher K. Tuggle, M. Heather West Greenlee, Vasant Honavar. BMC Bioinformatics (11): 7 (2010). Web SearchBibTeXDownload
142Semi-supervised prediction of protein subcellular localization using abstraction augmented Markov models. Cornelia Caragea, Doina Caragea, Adrian Silvescu, Vasant Honavar. BMC Bioinformatics (11): S6 (2010). Web SearchBibTeXDownload
141Abstraction Augmented Markov Models. Cornelia Caragea, Adrian Silvescu, Doina Caragea, Vasant Honavar. ICDM 2010, 68-77. Web SearchBibTeXDownload
140Ontology-guided Extraction of Complex Nested Relationships. Sushain Pandit, Vasant Honavar. ICTAI (2) 2010, 173-178. Web SearchBibTeXDownload
139Struct-NB: predicting protein-RNA binding sites using structural features. Fadi Towfic, Cornelia Caragea, David C. Gemperline, Drena Dobbs, Vasant Honavar. IJDMB (4): 21-43 (2010). Web SearchBibTeXDownload
138Automata-Based Verification of Security Requirements of Composite Web Services. Hongyu Sun, Samik Basu, Vasant Honavar, Robyn R. Lutz. ISSRE 2010, 348-357. Web SearchBibTeXDownload
137Efficient Dominance Testing for Unconditional Preferences. Ganesh Ram Santhanam, Samik Basu, Vasant Honavar. KR 2010. Web SearchBibTeXDownload
136Identifying and Eliminating Inconsistencies in Mappings across Hierarchical Ontologies. Bhavesh Sanghvi, Neeraj Koul, Vasant Honavar. OTM Conferences (2) 2010, 999-1008. Web SearchBibTeXDownload
135Secrecy-Preserving Query Answering for Instance Checking in EL\\mathcal{EL}. Jia Tao, Giora Slutzki, Vasant Honavar. RR 2010, 195-203. Web SearchBibTeXDownload
134Learning in Presence of Ontology Mapping Errors. Neeraj Koul, Vasant Honavar. Web Intelligence 2010, 291-296. Web SearchBibTeXDownload
133Failure Analysis for Composition of Web Services Represented as Labeled Transition Systems. Dinanath Nadkarni, Samik Basu, Vasant Honavar, Robyn R. Lutz. WS-FM 2010, 161-175. Web SearchBibTeXDownload
2009
132Detection of Gene Orthology Based on Protein-Protein Interaction Networks. Fadi Towfic, M. Heather West Greenlee, Vasant Honavar. BIBM 2009, 48-53. Web SearchBibTeXDownload
131Mixture of experts models to exploit global sequence similarity on biomolecular sequence labeling. Cornelia Caragea, Jivko Sinapov, Drena Dobbs, Vasant Honavar. BMC Bioinformatics (10) (2009). Web SearchBibTeXDownload
130MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio. Yasser El-Manzalawy, Vasant Honavar. Discovery Science 2009, 80-91. Web SearchBibTeXDownload
129Machine Learning in Computational Biology. Cornelia Caragea, Vasant Honavar. Encyclopedia of Database Systems 2009, 1663-1667. Web SearchBibTeXDownload
128Knowledge Acquisition from Semantically Heterogeneous Data. Doina Caragea, Vasant Honavar. Encyclopedia of Data Warehousing and Mining 2009, 1110-1116. Web SearchBibTeXDownload
127Combining Super-Structuring and Abstraction on Sequence Classification. Adrian Silvescu, Cornelia Caragea, Vasant Honavar. ICDM 2009, 986-991. Web SearchBibTeXDownload
126Learning Link-Based Classifiers from Ontology-Extended Textual Data. Cornelia Caragea, Doina Caragea, Vasant Honavar. ICTAI 2009, 354-361. Web SearchBibTeXDownload
125Design and Implementation of a Query Planner for Data Integration. Neeraj Koul, Vasant Honavar. ICTAI 2009, 214-218. Web SearchBibTeXDownload
124Web Service Substitution Based on Preferences Over Non-functional Attributes. Ganesh Ram Santhanam, Samik Basu, Vasant Honavar. IEEE SCC 2009, 210-217. Web SearchBibTeXDownload
123Efficient Markov Network Structure Discovery Using Independence Tests. Facundo Bromberg, Dimitris Margaritis, Vasant Honavar. J. Artif. Intell. Res. (JAIR) (35): 449-484 (2009). Web SearchBibTeXDownload
122Package-Based Description Logics. Jie Bao, George Voutsadakis, Giora Slutzki, Vasant Honavar. Modular Ontologies 2009, 349-371. Web SearchBibTeXDownload
121Learning Link-Based Naïve Bayes Classifiers from Ontology-Extended Distributed Data. Cornelia Caragea, Doina Caragea, Vasant Honavar. OTM Conferences (2) 2009, 1139-1146. Web SearchBibTeXDownload
120Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence. Oksana Yakhnenko, Vasant Honavar. SDM 2009, 281-294. Web SearchBibTeXDownload
119Aligning Biomolecular Networks Using Modular Graph Kernels. Fadi Towfic, M. Heather West Greenlee, Vasant Honavar. WABI 2009, 345-361. Web SearchBibTeXDownload
2008
118On the Decidability of Role Mappings between Modular Ontologies. Jie Bao, George Voutsadakis, Giora Slutzki, Vasant Honavar. AAAI 2008, 400-405. Web SearchBibTeXDownload
117Towards Semantics-Enabled Distributed Infrastructure for Knowledge Acquisition. Vasant Honavar, Doina Caragea. AAAI Spring Symposium: Semantic Scientific Knowledge Integration 2008, 29-35. Web SearchBibTeXDownload
116Predicting Protective Linear B-Cell Epitopes Using Evolutionary Information. Yasser El-Manzalawy, Drena Dobbs, Vasant Honavar. BIBM 2008, 289-292. Web SearchBibTeXDownload
115Using Global Sequence Similarity to Enhance Biological Sequence Labeling. Cornelia Caragea, Jivko Sinapov, Drena Dobbs, Vasant Honavar. BIBM 2008, 104-111. Web SearchBibTeXDownload
114Use of machine learning algorithms to classify binary protein sequences as highly-designable or poorly-designable. Myron Peto, Andrzej Kloczkowski, Vasant Honavar, Robert L. Jernigan. BMC Bioinformatics (9) (2008). Web SearchBibTeXDownload
113Complexes of on-line self assembly. Neeraj Koul, Jim Lathrop, Jack H. Lutz, Vasant Honavar. EIT 2008, 448-452. Web SearchBibTeXDownload
112Unsupervised Learning of Probabilistic Context-Free Grammar using Iterative Biclustering. Kewei Tu, Vasant Honavar. ICGI 2008, 224-237. Web SearchBibTeXDownload
111TCP-Compose* - A TCP-Net Based Algorithm for Efficient Composition of Web Services Using Qualitative Preferences. Ganesh Ram Santhanam, Samik Basu, Vasant Honavar. ICSOC 2008, 453-467. Web SearchBibTeXDownload
110Attribute Value Taxonomy Generation through Matrix Based Adaptive Genetic Algorithm. Hyunsung Jo, Yong-chan Na, Byonghwa Oh, Jihoon Yang, Vasant Honavar. ICTAI (1) 2008, 393-400. Web SearchBibTeXDownload
109Composing Web Services through Automatic Reformulation of Service Specifications. Jyotishman Pathak, Samik Basu, Vasant Honavar. IEEE SCC (1) 2008, 361-369. Web SearchBibTeXDownload
108MOSCOE: an Approach for Composing Web Services through Iterative Reformulation of Functional Specifications. Jyotishman Pathak, Samik Basu, Robyn R. Lutz, Vasant Honavar. International Journal on Artificial Intelligence Tools (17): 109-138 (2008). Web SearchBibTeXDownload
107Striking Similarities in Diverse Telomerase Proteins Revealed by Combining Structure Prediction and Machine Learning Approaches. 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. Pacific Symposium on Biocomputing 2008, 501-512. Web SearchBibTeXDownload
106On Utilizing Qualitative Preferences in Web Service Composition: A CP-net Based Approach. Ganesh Ram Santhanam, Samik Basu, Vasant Honavar. SERVICES I 2008, 538-544. Web SearchBibTeXDownload
105Visual Methods for Examining SVM Classifiers. Doina Caragea, Dianne Cook, Hadley Wickham, Vasant Honavar. Visual Data Mining 2008, 136-153. Web SearchBibTeXDownload
104Federated ALCI: Preliminary Report. George Voutsadakis, Giora Slutzki, Vasant Honavar, Jie Bao. Web Intelligence 2008, 575-578. Web SearchBibTeXDownload
103Learning Classifiers from Large Databases Using Statistical Queries. Neeraj Koul, Cornelia Caragea, Vasant Honavar, Vikas Bahirwani, Doina Caragea. Web Intelligence 2008, 923-926. Web SearchBibTeXDownload
2007
102A Semantic Importing Approach to Knowledge Reuse from Multiple Ontologies. Jie Bao, Giora Slutzki, Vasant Honavar. AAAI 2007, 1304-1309. Web SearchBibTeXDownload
101Reports on the 2006 AAAI Fall Symposia. 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. AI Magazine (28): 88-92 (2007). Web SearchBibTeXDownload
100Assessing the Performance of Macromolecular Sequence Classifiers. Cornelia Caragea, Jivko Sinapov, Vasant Honavar, Drena Dobbs. BIBE 2007, 320-326. Web SearchBibTeXDownload
99Analysis of Protein Protein Dimeric Interfaces. Feihong Wu, Fadi Towfic, Drena Dobbs, Vasant Honavar. BIBM 2007, 35. Web SearchBibTeXDownload
98Exploring inconsistencies in genome-wide protein function annotations: a machine learning approach. Carson M. Andorf, Drena Dobbs, Vasant Honavar. BMC Bioinformatics (8) (2007). Web SearchBibTeXDownload
97Glycosylation site prediction using ensembles of Support Vector Machine classifiers. Cornelia Caragea, Jivko Sinapov, Adrian Silvescu, Drena Dobbs, Vasant Honavar. BMC Bioinformatics (8) (2007). Web SearchBibTeXDownload
96Assembling Composite Web Services from Autonomous Components. Jyotishman Pathak, Samik Basu, Vasant Honavar. Emerging Artificial Intelligence Applications in Computer Engineering 2007, 394-405. Web SearchBibTeXDownload
95On Context-Specific Substitutability of Web Services. Jyotishman Pathak, Samik Basu, Vasant Honavar. ICWS 2007, 192-199. Web SearchBibTeXDownload
94Integrated Decision Algorithms for Auto-steered Electric Transmission System Asset Management. James D. McCalley, Vasant Honavar, Sarah M. Ryan, William Q. Meeker, Daji Qiao, Ronald A. Roberts, Yuan Li, Jyotishman Pathak, Mujing Ye, Yili Hong. International Conference on Computational Science (1) 2007, 1066-1073. Web SearchBibTeXDownload
93RNABindR: a server for analyzing and predicting RNA-binding sites in proteins. Michael Terribilini, Jeffry D. Sander, Jae-Hyung Lee, Peter Zaback, Robert L. Jernigan, Vasant Honavar, Drena Dobbs. Nucleic Acids Research (35): 578-584 (2007). Web SearchBibTeXDownload
92Privacy-Preserving Reasoning on the SemanticWeb. Jie Bao, Giora Slutzki, Vasant Honavar. Web Intelligence 2007, 791-797. Web SearchBibTeXDownload
2006
91Experimental Comparison of Feature Subset Selection Using GA and ACO Algorithm. Keunjoon Lee, Jinu Joo, Jihoon Yang, Vasant Honavar. ADMA 2006, 465-472. Web SearchBibTeXDownload
90Modular Ontologies - A Formal Investigation of Semantics and Expressivity. Jie Bao, Doina Caragea, Vasant Honavar. ASWC 2006, 616-631. Web SearchBibTeXDownload
89Predicting DNA-binding sites of proteins from amino acid sequence. Changhui Yan, Michael Terribilini, Feihong Wu, Robert L. Jernigan, Drena Dobbs, Vasant Honavar. BMC Bioinformatics (7): 262 (2006). Web SearchBibTeXDownload
88Towards Collaborative Environments for Ontology Construction and Sharing. Jie Bao, Doina Caragea, Vasant Honavar. CTS 2006, 99-108. Web SearchBibTeXDownload
87Learning Classifiers from Distributed, Ontology-Extended Data Sources. Doina Caragea, Jun Zhang, Jyotishman Pathak, Vasant Honavar. DaWaK 2006, 363-373. Web SearchBibTeXDownload
86A Tool for Collaborative Construction of Large Biological Ontologies. Jie Bao, Zhiliang Hu, Doina Caragea, James Reecy, Vasant Honavar. DEXA Workshops 2006, 191-195. Web SearchBibTeXDownload
85Parallel Web Service Composition in MoSCoE: A Choreography-Based Approach. Jyotishman Pathak, Samik Basu, Robyn R. Lutz, Vasant Honavar. ECOWS 2006, 3-12. Web SearchBibTeXDownload
84Condition Data Aggregation with Application to Failure Rate Calculation of Power Transformers. Jyotishman Pathak, Yong Jiang, Vasant Honavar, James D. McCalley. HICSS 2006. Web SearchBibTeXDownload
83MoSCoE: A Framework for Modeling Web Service Composition and Execution. Jyotishman Pathak, Samik Basu, Robyn R. Lutz, Vasant Honavar. ICDE Workshops 2006, 143. Web SearchBibTeXDownload
82Modeling Web Services by Iterative Reformulation of Functional and Non-functional Requirements. Jyotishman Pathak, Samik Basu, Vasant Honavar. ICSOC 2006, 314-326. Web SearchBibTeXDownload
81A Service-Oriented Architecture for Electric Power Transmission System Asset Management. Jyotishman Pathak, Yuan Li, Vasant Honavar, James D. McCalley. ICSOC Workshops 2006, 26-37. Web SearchBibTeXDownload
80Selecting and Composing Web Services through Iterative Reformulation of Functional Specifications. Jyotishman Pathak, Samik Basu, Robyn R. Lutz, Vasant Honavar. ICTAI 2006, 445-454. Web SearchBibTeXDownload
79Auto-steered Information-Decision Processes for Electric System Asset Management. James D. McCalley, Vasant Honavar, Sarah M. Ryan, William Q. Meeker, Ronald A. Roberts, Daji Qiao, Yuan Li. International Conference on Computational Science (3) 2006, 440-447. Web SearchBibTeXDownload
78On the Semantics of Linking and Importing in Modular Ontologies. Jie Bao, Doina Caragea, Vasant Honavar. International Semantic Web Conference 2006, 72-86. Web SearchBibTeXDownload
77Package-Based Description Logics - Preliminary Results. Jie Bao, Doina Caragea, Vasant Honavar. International Semantic Web Conference 2006, 967-969. Web SearchBibTeXDownload
76Independence, Decomposability and Functions which Take Values into an Abelian Group. Adrian Silvescu, Vasant Honavar. ISAIM 2006. Web SearchBibTeXDownload
75Towards the automatic generation of mobile agents for distributed intrusion detection system. Yanxin Wang, Smruti Ranjan Behera, Johnny Wong, Guy G. Helmer, Vasant Honavar, Les Miller, Robyn R. Lutz, Mark Slagell. Journal of Systems and Software (79): 1-14 (2006). Web SearchBibTeXDownload
74Learning accurate and concise naïve Bayes classifiers from attribute value taxonomies and data. Jun Zhang, Dae-Ki Kang, Adrian Silvescu, Vasant Honavar. Knowl. Inf. Syst. (9): 157-179 (2006). Web SearchBibTeXDownload
73Adapt OWL as a Modular Ontology Language. Jie Bao, Vasant Honavar. OWLED 2006. Web SearchBibTeXDownload
72RNBL-MN: A Recursive Naive Bayes Learner for Sequence Classification. Dae-Ki Kang, Adrian Silvescu, Vasant Honavar. PAKDD 2006, 45-54. Web SearchBibTeXDownload
71TRIPPER: Rule Learning Using Taxonomies. Flavian Vasile, Adrian Silvescu, Dae-Ki Kang, Vasant Honavar. PAKDD 2006, 55-59. Web SearchBibTeXDownload
70Efficient Markov Network Structure Discovery using Independence Tests. Facundo Bromberg, Dimitris Margaritis, Vasant Honavar. SDM 2006. Web SearchBibTeXDownload
69A Tableau-Based Federated Reasoning Algorithm for Modular Ontologies. Jie Bao, Doina Caragea, Vasant Honavar. Web Intelligence 2006, 404-410. Web SearchBibTeXDownload
68Divide and Conquer Semantic Web with Modular Ontologies - A Brief Review of Modular Ontology Language Formalisms. Jie Bao, Vasant Honavar. WoMO 2006. Web SearchBibTeXDownload
2005
67Learning Support Vector Machines from Distributed Data Sources. Cornelia Caragea, Doina Caragea, Vasant Honavar. AAAI 2005, 1602-1603. Web SearchBibTeXDownload
66Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information Sources. Doina Caragea, Jun Zhang, Jie Bao, Jyotishman Pathak, Vasant Honavar. ALT 2005, 13-44. Web SearchBibTeXDownload
65Identifying Interaction Sites in "Recalcitrant" Proteins: Predicted Protein and Rna Binding Sites in Rev Proteins of Hiv-1 and Eiav Agree with Experimental Data. Michael Terribilini, Jae-Hyung Lee, Changhui Yan, Robert L. Jernigan, Susan Carpenter, Vasant Honavar, Drena Dobbs. CoRR (abs/cs/0511075) (2005). Web SearchBibTeXDownload
64Information Integration from Semantically Heterogeneous Biological Data Sources. Doina Caragea, Jie Bao, Jyotishman Pathak, Adrian Silvescu, Carson M. Andorf, Drena Dobbs, Vasant Honavar. DEXA Workshops 2005, 580-584. Web SearchBibTeXDownload
63Information Integration and Knowledge Acquisition from Semantically Heterogeneous Biological Data Sources. Doina Caragea, Jyotishman Pathak, Jie Bao, Adrian Silvescu, Carson M. Andorf, Drena Dobbs, Vasant Honavar. DILS 2005, 175-190. Web SearchBibTeXDownload
62Learning Ontology-Aware Classifiers. Jun Zhang, Doina Caragea, Vasant Honavar. Discovery Science 2005, 308-321. Web SearchBibTeXDownload
61Discriminatively Trained Markov Model for Sequence Classification. Oksana Yakhnenko, Adrian Silvescu, Vasant Honavar. ICDM 2005, 498-505. Web SearchBibTeXDownload
60Learning Classifiers for Misuse Detection Using a Bag of System Calls Representation. Dae-Ki Kang, Doug Fuller, Vasant Honavar. ISI 2005, 511-516. Web SearchBibTeXDownload
59Learning Classifiers Using Hierarchically Structured Class Taxonomies. Feihong Wu, Jun Zhang, Vasant Honavar. SARA 2005, 313-320. Web SearchBibTeXDownload
58Multinomial Event Model Based Abstraction for Sequence and Text Classification. Dae-Ki Kang, Jun Zhang, Adrian Silvescu, Vasant Honavar. SARA 2005, 134-148. Web SearchBibTeXDownload
57A framework for semantic web services discovery. Jyotishman Pathak, Neeraj Koul, Doina Caragea, Vasant Honavar. WIDM 2005, 45-50. Web SearchBibTeXDownload
2004
56Predicting binding sites of hydrolase-inhibitor complexes by combining several methods. 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. BMC Bioinformatics (5): 205 (2004). Web SearchBibTeXDownload
55Learning Classifiers from Semantically Heterogeneous Data. Doina Caragea, Jyotishman Pathak, Vasant Honavar. CoopIS/DOA/ODBASE (2) 2004, 963-980. Web SearchBibTeXDownload
54Generating AVTs Using GA for Learning Decision Tree Classifiers with Missing Data. Jinu Joo, Jun Zhang, Jihoon Yang, Vasant Honavar. Discovery Science 2004, 347-354. Web SearchBibTeXDownload
53Generation of Attribute Value Taxonomies from Data for Data-Driven Construction of Accurate and Compact Classifiers. Dae-Ki Kang, Adrian Silvescu, Jun Zhang, Vasant Honavar. ICDM 2004, 130-137. Web SearchBibTeXDownload
52AVT-NBL: An Algorithm for Learning Compact and Accurate Naïve Bayes Classifiers from Attribute Value Taxonomies and Data. Jun Zhang, Vasant Honavar. ICDM 2004, 289-296. Web SearchBibTeXDownload
51Integration of Domain-Specific and Domain-Independent Ontologies for Colonoscopy Video Database Annotation. Jie Bao, Yu Cao, Wallapak Tavanapong, Vasant Honavar. IKE 2004, 82-90. Web SearchBibTeX
50A Framework for Learning from Distributed Data Using Sufficient Statistics and Its Application to Learning Decision Trees. Doina Caragea, Adrian Silvescu, Vasant Honavar. Int. J. Hybrid Intell. Syst. (1): 80-89 (2004). Web SearchBibTeXDownload
49A two-stage classifier for identification of protein-protein interface residues. Changhui Yan, Drena Dobbs, Vasant Honavar. ISMB/ECCB (Supplement of Bioinformatics) 2004, 371-378. Web SearchBibTeXDownload
48Identification of interface residues in protease-inhibitor and antigen-antibody complexes: a support vector machine approach. Changhui Yan, Vasant Honavar, Drena Dobbs. Neural Computing and Applications (13): 123-129 (2004). Web SearchBibTeXDownload
47Ontology-Extended Component-Based Workflows : A Framework for Constructing Complex Workflows from Semantically Heterogeneous Software Components. Jyotishman Pathak, Doina Caragea, Vasant Honavar. SWDB 2004, 41-56. Web SearchBibTeXDownload
2003
46Towards Simple, Easy-to-Understand, yet Accurate Classifiers. Doina Caragea, Dianne Cook, Vasant Honavar. ICDM 2003, 497-500. Web SearchBibTeXDownload
45Learning from Attribute Value Taxonomies and Partially Specified Instances. Jun Zhang, Vasant Honavar. ICML 2003, 880-887. Web SearchBibTeXDownload
44Statistics Gathering for Learning from Distributed, Heterogeneous and Autonomous Data Sources. Doina Caragea, Jaime Reinoso, Adrian Silvescu, Vasant Honavar. IIWeb 2003, 99-104. Web SearchBibTeXDownload
43A Multi-relational Decision Tree Learning Algorithm - Implementation and Experiments. Anna Atramentov, Hector Leiva, Vasant Honavar. ILP 2003, 38-56. Web SearchBibTeXDownload
42Automated data-driven discovery of motif-based protein function classifiers. Xiangyun Wang, Diane Schroeder, Drena Dobbs, Vasant Honavar. Inf. Sci. (155): 1-18 (2003). Web SearchBibTeXDownload
41Information Extraction and Integration from Heterogeneous, Distributed, Autonomous Information Sources : A Federated Ontology-Driven Query-Centric Approach. Jaime Reinoso, Adrian Silvescu, Doina Caragea, Jyotishman Pathak, Vasant Honavar. IRI 2003, 183-191. Web SearchBibTeXDownload
40Lightweight agents for intrusion detection. Guy G. Helmer, Johnny S. Wong, Vasant Honavar, Les Miller, Yanxin Wang. Journal of Systems and Software (67): 109-122 (2003). Web SearchBibTeXDownload
39Learning Decision Trees form Distributed Heterogeneous Autonomous Data. Doina Caragea, Adrian Silvescu, Vasant Honavar. MAICS 2003, 10-17. Web SearchBibTeX
2002
38Discovering Protein Function Classification Rules from Reduced Alphabet Representations of Protein Sequences. Carson M. Andorf, Drena Dobbs, Vasant Honavar. JCIS 2002, 1200-1206. Web SearchBibTeX
37Data-Driven Discovery of Protein Function Classifiers: Decision Trees Based on MEME Motifs outperform PROSITE Patterns and Profiles on Peptidase Families. Xiangyun Wang, Diane Schroeder, Drena Dobbs, Vasant Honavar. JCIS 2002, 1193-1199. Web SearchBibTeX
36Automated discovery of concise predictive rules for intrusion detection. Guy G. Helmer, Johnny S. Wong, Vasant Honavar, Les Miller. Journal of Systems and Software (60): 165-175 (2002). Web SearchBibTeXDownload
35A Software Fault Tree Approach to Requirements Analysis of an Intrusion Detection System. Guy G. Helmer, Johnny S. Wong, Mark Slagell, Vasant Honavar, Les Miller, Robyn R. Lutz. Requir. Eng. (7): 207-220 (2002). Web SearchBibTeXDownload
34Ontology-Driven Induction of Decision Trees at Multiple Levels of Abstraction. Jun Zhang, Adrian Silvescu, Vasant Honavar. SARA 2002, 316-323. Web SearchBibTeXDownload
2001
33Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources. Doina Caragea, Adrian Silvescu, Vasant Honavar. Emergent Neural Computational Architectures Based on Neuroscience 2001, 547-559. Web SearchBibTeXDownload
32Learn++: an incremental learning algorithm for supervised neural networks. Robi Polikar, L. Upda, S. S. Upda, Vasant Honavar. IEEE Transactions on Systems, Man, and Cybernetics, Part C (31): 497-508 (2001). Web SearchBibTeXDownload
31Autonomous agents for coordinated distributed parameterized heuristic routing in large dynamic communication networks. Armin R. Mikler, Vasant Honavar, Johnny S. Wong. Journal of Systems and Software (56): 231-246 (2001). Web SearchBibTeXDownload
30SMART mobile agent facility. Johnny Wong, Guy G. Helmer, Venkatraman Naganathan, Sriniwas Polavarapu, Vasant Honavar, Les Miller. Journal of Systems and Software (56): 9-22 (2001). Web SearchBibTeXDownload
29Gaining insights into support vector machine pattern classifiers using projection-based tour methods. Doina Caragea, Dianne Cook, Vasant Honavar. KDD 2001, 251-256. Web SearchBibTeXDownload
28Learning DFA from Simple Examples. Rajesh Parekh, Vasant Honavar. Machine Learning (44): 9-35 (2001). Web SearchBibTeXDownload
2000
27Incremental and Distributed Learning with Support Vector Machines. Doina Caragea, Adrian Silvescu, Vasant Honavar. AAAI/IAAI 2000, 1067. Web SearchBibTeXDownload
26On the Relationship between Models for Learning in Helpful Environments. Rajesh Parekh, Vasant Honavar. ICGI 2000, 207-220. Web SearchBibTeXDownload
25Constructive neural-network learning algorithms for pattern classification. Rajesh Parekh, Jihoon Yang, Vasant Honavar. IEEE Trans. Neural Netw. Learning Syst. (11): 436-451 (2000). Web SearchBibTeXDownload
24Supporting organizational knowledge management with agents. Prashant Pai, Leslie L. Miller, Vasant Honavar, Johnny Wong, Sree Nilakanta. IRMA Conference 2000, 325-329. Web SearchBibTeX
23A Negotiation Model in Agent-mediated Electronic Commerce. Mokdong Chug, Vasant Honavar. ISMSE 2000, 403-410. Web SearchBibTeXDownload
22An empirical comparison of the performance so single-layer algorithms for training threshold logic units. Rajesh Parekh, Jihoon Yang, Vasant Honavar. Neural Parallel & Scientific Comp. (8): 415-438 (2000). Web SearchBibTeXDownload
1999
21Integration of cognitive systems across disciplinary boundaries. Ron Sun, Vasant Honavar, Gregg C. Oden. Cognitive Systems Research (1): 1-3 (1999). Web SearchBibTeXDownload
20Feature Selection Using a Genetic Algorithm for Intrusion Detection. Guy G. Helmer, Johnny S. Wong, Vasant Honavar, Les Miller. GECCO 1999, 1781. Web SearchBibTeX
19Simple DFA are Polynomially Probably Exactly Learnable from Simple Examples. Rajesh Parekh, Vasant Honavar. ICML 1999, 298-306. Web SearchBibTeX
18Data-Driven Theory Refinement Using KBDistAl. Jihoon Yang, Rajesh Parekh, Vasant Honavar, Drena Dobbs. IDA 1999, 331-342. Web SearchBibTeXDownload
17A neural-network architecture for syntax analysis. Chun-Hsien Chen, Vasant Honavar. IEEE Transactions on Neural Networks (10): 94-114 (1999). Web SearchBibTeXDownload
16DistAl: An inter-pattern distance-based constructive learning algorithm. Jihoon Yang, Rajesh Parekh, Vasant Honavar. Intell. Data Anal. (3): 55-73 (1999). Web SearchBibTeXDownload
1998
15A Polynominal Time Incremental Algorithm for Learning DFA. Rajesh Parekh, Codrin M. Nichitiu, Vasant Honavar. ICGI 1998, 37-49. Web SearchBibTeXDownload
14Feature Subset Selection Using a Genetic Algorithm. Jihoon Yang, Vasant Honavar. IEEE Intelligent Systems (13): 44-49 (1998). Web SearchBibTeX
13An object oriented approach to simulating large communication networks. Armin R. Mikler, Johnny S. K. Wong, Vasant Honavar. Journal of Systems and Software (40): 151-164 (1998). Web SearchBibTeXDownload
1997
12Learning DFA from Simple Examples. Rajesh Parekh, Vasant Honavar. ALT 1997, 116-131. Web SearchBibTeXDownload
11Quo Vadis - A Framework for Intelligent Routing in Large Communication Networks. Armin R. Mikler, Johnny S. Wong, Vasant Honavar. Journal of Systems and Software (37): 61-73 (1997). Web SearchBibTeX
1996
10Analysis of Utility-Theoretic Heuristics for Intelligent Adaptive Network Routing. Armin R. Mikler, Vasant Honavar, Johnny S. Wong. AAAI/IAAI, Vol. 1 1996, 96-101. Web SearchBibTeXDownload
9Experiments in Evolutionary Synthesis of Robotic Neurocontrollers. Karthik Balakrishnan, Vasant Honavar. AAAI/IAAI, Vol. 2 1996, 1378. Web SearchBibTeXDownload
8An Incremental Interactive Algorithm for Regular Grammar Inference. Rajesh Parekh, Vasant Honavar. AAAI/IAAI, Vol. 2 1996, 1397. Web SearchBibTeXDownload
7Constructive Neural Network Learning Algorithms. Rajesh Parekh, Jihoon Yang, Vasant Honavar. AAAI/IAAI, Vol. 2 1996, 1398. Web SearchBibTeXDownload
6An incremental interactive algorithm for grammar inference. Rajesh Parekh, Vasant Honavar. ICGI 1996, 238-249. Web SearchBibTeXDownload
1995
5A Neural Architecture for Content as well as Address-based Storage and Recall: Theory and Applications. Chun-Hsien Chen, Vasant Honavar. Connect. Sci. (7): 281-300 (1995). Web SearchBibTeXDownload
1993
4Generative learning structures and processes for generalized connectionist networks. Vasant Honavar, Leonard Uhr. Inf. Sci. (70): 75-108 (1993). Web SearchBibTeXDownload
1992
3Neural Network Design and the Complexity of Learning (Book Review). Vasant Honavar. Machine Learning (9): 95-98 (1992). Web SearchBibTeXDownload
1990
2Coordination and control structures and processes: possibilities for connectionist networks (CN). Vasant Honavar, Leonard Uhr. J. Exp. Theor. Artif. Intell. (2): 277-302 (1990). Web SearchBibTeXDownload
1989
1Generation, Local Receptive Fields and Global Convergence Improve Perceptual Learning in Connectionist Networks. Vasant Honavar, Leonard Uhr. IJCAI 1989, 180-185. Web SearchBibTeX
from DBLP and Google Scholar
Developed by the Database Group at the University of Wisconsin and Yahoo! Research