Vasant Honavar - researchr alias

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2011

Predicting MHC-II Binding Affinity Using Multiple Instance RegressionYasser El-Manzalawy, Drena Dobbs, Vasant Honavar. tcbb, 8(4):1067-1079, 2011. [doi]

PRIDB: a protein-RNA interface databaseBenjamin A. Lewis, Rasna R. Walia, Michael Terribilini, Jeff Ferguson, Charles Zheng, Vasant Honavar, Drena Dobbs. nar, 39(Database-Issue):277-282, 2011. [doi]

Verifying Intervention Policies to Counter Infection Propagation over Networks: A Model Checking ApproachGanesh Ram Santhanam, Yuly Suvorov, Samik Basu, Vasant Honavar. AAAI 2011: [doi]

On the Utility of Curricula in Unsupervised Learning of Probabilistic GrammarsKewei Tu, Vasant Honavar. IJCAI 2011: 1523-1528 [doi]

Exemplar-based Robust Coherent BiclusteringKewei Tu, Xixiu Ouyang, Dingyi Han, Vasant Honavar. sdm 2011: 884-895 [doi]

HomPPI: A Class of Sequence Homology Based Protein-Protein Interface Prediction MethodsLi C. Xue, Drena Dobbs, Vasant Honavar. bmcbi, 12:244, 2011. [doi]

2010

Semi-supervised sequence classification using abstraction augmented Markov modelsCornelia Caragea, Adrian Silvescu, Doina Caragea, Vasant Honavar. bcb 2010: 257-264 [doi]

Abstraction Augmented Markov ModelsCornelia Caragea, Adrian Silvescu, Doina Caragea, Vasant Honavar. icdm 2010: 68-77 [doi]

A framework for developing epitope prediction toolsYasser El-Manzalawy, Vasant Honavar. bcb 2010: 660-662 [doi]

Learning in Presence of Ontology Mapping ErrorsNeeraj Koul, Vasant Honavar. webi 2010: 291-296 [doi]

Scalable, updatable predictive models for sequence dataNeeraj Koul, Ngot Bui, Vasant Honavar. bibm 2010: 681-685 [doi]

Failure Analysis for Composition of Web Services Represented as Labeled Transition SystemsDinanath Nadkarni, Samik Basu, Vasant Honavar, Robyn R. Lutz. wsfm 2011: 161-175 [doi]

Ontology-guided Extraction of Complex Nested RelationshipsSushain Pandit, Vasant Honavar. ictai 2010: 173-178 [doi]

Identifying and Eliminating Inconsistencies in Mappings across Hierarchical OntologiesBhavesh Sanghvi, Neeraj Koul, Vasant Honavar. otm 2010: 999-1008 [doi]

Efficient Dominance Testing for Unconditional PreferencesGanesh Ram Santhanam, Samik Basu, Vasant Honavar. kr 2010: [doi]

Dominance Testing via Model CheckingGanesh Ram Santhanam, Samik Basu, Vasant Honavar. AAAI 2010: [doi]

Automata-Based Verification of Security Requirements of Composite Web ServicesHongyu Sun, Samik Basu, Vasant Honavar, Robyn R. Lutz. issre 2010: 348-357 [doi]

Secrecy-Preserving Query Answering for Instance Checking in ::::EL::::/mathcal{EL}Jia Tao, Giora Slutzki, Vasant Honavar. rr 2010: 195-203 [doi]

Detection of gene orthology from gene co-expression and protein interaction networksFadi Towfic, Susan VanderPlas, Casey A. Oliver, Oliver Couture, Christopher K. Tuggle, M. Heather West Greenlee, Vasant Honavar. bmcbi, 11(S-3):7, 2010. [doi]

Struct-NB: predicting protein-RNA binding sites using structural featuresFadi Towfic, Cornelia Caragea, David C. Gemperline, Drena Dobbs, Vasant Honavar. ijdmb, 4(1):21-43, 2010. [doi]

2009

Package-Based Description LogicsJie Bao, George Voutsadakis, Giora Slutzki, Vasant Honavar. In Heiner Stuckenschmidt, Christine Parent, Stefano Spaccapietra, editors, Modular Ontologies: Concepts, Theories and Techniques for Knowledge Modularization. Volume 5445 of Lecture Notes in Computer Science, pages 349-371, Springer, 2009. [doi]

Efficient Markov Network Structure Discovery Using Independence TestsFacundo Bromberg, Dimitris Margaritis, Vasant Honavar. jair, 35:449-484, 2009. [doi]

Mixture of experts models to exploit global sequence similarity on biomolecular sequence labelingCornelia Caragea, Jivko Sinapov, Drena Dobbs, Vasant Honavar. bmcbi, 10(S-4), 2009. [doi]

Learning Link-Based Classifiers from Ontology-Extended Textual DataCornelia Caragea, Doina Caragea, Vasant Honavar. ictai 2009: 354-361 [doi]

Learning Link-Based NaÃ¯ve Bayes Classifiers from Ontology-Extended Distributed DataCornelia Caragea, Doina Caragea, Vasant Honavar. otm 2009: 1139-1146 [doi]

MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood RatioYasser El-Manzalawy, Vasant Honavar. dis 2009: 80-91 [doi]

Design and Implementation of a Query Planner for Data IntegrationNeeraj Koul, Vasant Honavar. ictai 2009: 214-218 [doi]

Web Service Substitution Based on Preferences Over Non-functional AttributesGanesh Ram Santhanam, Samik Basu, Vasant Honavar. IEEEscc 2009: 210-217 [doi]

Combining Super-Structuring and Abstraction on Sequence ClassificationAdrian Silvescu, Cornelia Caragea, Vasant Honavar. icdm 2009: 986-991 [doi]

Detection of Gene Orthology Based on Protein-Protein Interaction NetworksFadi Towfic, M. Heather West Greenlee, Vasant Honavar. bibm 2009: 48-53 [doi]

Aligning Biomolecular Networks Using Modular Graph KernelsFadi Towfic, M. Heather West Greenlee, Vasant Honavar. wabi 2009: 345-361 [doi]

Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label CorrespondenceOksana Yakhnenko, Vasant Honavar. sdm 2009: 281-294 [doi]

2008

On the Decidability of Role Mappings between Modular OntologiesJie Bao, George Voutsadakis, Giora Slutzki, Vasant Honavar. AAAI 2008: 400-405

Visual Methods for Examining SVM ClassifiersDoina Caragea, Dianne Cook, Hadley Wickham, Vasant Honavar. In Simeon J. Simoff, Michael H. Böhlen, Arturas Mazeika, editors, Visual Data Mining - Theory, Techniques and Tools for Visual Analytics. Volume 4404 of Lecture Notes in Computer Science, pages 136-153, Springer, 2008. [doi]

Using Global Sequence Similarity to Enhance Biological Sequence LabelingCornelia Caragea, Jivko Sinapov, Drena Dobbs, Vasant Honavar. bibm 2008: 104-111 [doi]

Predicting Protective Linear B-Cell Epitopes Using Evolutionary InformationYasser El-Manzalawy, Drena Dobbs, Vasant Honavar. bibm 2008: 289-292 [doi]

Proceedings of the 2nd International Workshop on Modular Ontologies, WoMO 2007, Whistler, Canada, October 28, 2007Bernardo Cuenca Grau, Vasant Honavar, Anne Schlicht, Frank Wolter, editors, Volume 315 of CEUR Workshop Proceedings, CEUR-WS.org, 2008.

Attribute Value Taxonomy Generation through Matrix Based Adaptive Genetic AlgorithmHyunsung Jo, Yong-chan Na, Byonghwa Oh, Jihoon Yang, Vasant Honavar. ictai 2008: 393-400 [doi]

Learning Classifiers from Large Databases Using Statistical QueriesNeeraj Koul, Cornelia Caragea, Vasant Honavar, Vikas Bahirwani, Doina Caragea. webist 2008: 923-926 [doi]

Complexes of on-line self assemblyNeeraj Koul, Jim Lathrop, Jack Lutz, Vasant Honavar. eit 2008: 448-452 [doi]

Striking Similarities in Diverse Telomerase Proteins Revealed by Combining Structure Prediction and Machine Learning ApproachesJae-Hyung Lee, Michael Hamilton, Colin Gleeson, Cornelia Caragea, Peter Zaback, Jeffry D. Sander, Xue Li, Feihong Wu, Michael Terribilini, Vasant Honavar, Drena Dobbs. psb 2008: 501-512 [doi]

Composing Web Services through Automatic Reformulation of Service SpecificationsJyotishman Pathak, Samik Basu, Vasant Honavar. IEEEscc 2008: 361-369 [doi]

MOSCOE: an Approach for Composing Web Services through Iterative Reformulation of Functional SpecificationsJyotishman Pathak, Samik Basu, Robyn R. Lutz, Vasant Honavar. ijait, 17(1):109-138, 2008. [doi]

Use of machine learning algorithms to classify binary protein sequences as highly-designable or poorly-designableMyron Peto, Andrzej Kloczkowski, Vasant Honavar, Robert L. Jernigan. bmcbi, 9, 2008. [doi]

TCP-Compose* - A TCP-Net Based Algorithm for Efficient Composition of Web Services Using Qualitative PreferencesGanesh Ram Santhanam, Samik Basu, Vasant Honavar. icsoc 2008: 453-467 [doi]

On Utilizing Qualitative Preferences in Web Service Composition: A CP-net Based ApproachGanesh Ram Santhanam, Samik Basu, Vasant Honavar. services 2008: 538-544 [doi]

Unsupervised Learning of Probabilistic Context-Free Grammar using Iterative BiclusteringKewei Tu, Vasant Honavar. icgi 2008: 224-237 [doi]

Federated ALCI: Preliminary ReportGeorge Voutsadakis, Giora Slutzki, Vasant Honavar, Jie Bao. webist 2008: 575-578 [doi]

2007

Exploring inconsistencies in genome-wide protein function annotations: a machine learning approachCarson M. Andorf, Drena Dobbs, Vasant Honavar. bmcbi, 8, 2007. [doi]

Privacy-Preserving Reasoning on the SemanticWebJie Bao, Giora Slutzki, Vasant Honavar. webist 2007: 791-797 [doi]

A Semantic Importing Approach to Knowledge Reuse from Multiple OntologiesJie Bao, Giora Slutzki, Vasant Honavar. AAAI 2007: 1304-1309

Reports on the 2006 AAAI Fall SymposiaJoshua 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. aim, 28(1):88-92, 2007. [doi]

Glycosylation site prediction using ensembles of Support Vector Machine classifiersCornelia Caragea, Jivko Sinapov, Adrian Silvescu, Drena Dobbs, Vasant Honavar. bmcbi, 8, 2007. [doi]

Assessing the Performance of Macromolecular Sequence ClassifiersCornelia Caragea, Jivko Sinapov, Vasant Honavar, Drena Dobbs. bibe 2007: 320-326 [doi]

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, USAPeter Haase, Vasant Honavar, Oliver Kutz, York Sure, Andrei Tamilin, editors, Volume 232 of CEUR Workshop Proceedings, CEUR-WS.org, 2007.

Integrated Decision Algorithms for Auto-steered Electric Transmission System Asset ManagementJames D. McCalley, Vasant Honavar, Sarah M. Ryan, William Q. Meeker, Daji Qiao, Ronald A. Roberts, Yuan Li, Jyotishman Pathak, Mujing Ye, Yili Hong. iccS 2007: 1066-1073 [doi]

Assembling Composite Web Services from Autonomous ComponentsJyotishman Pathak, Samik Basu, Vasant Honavar. In Ilias Maglogiannis, Kostas Karpouzis, Manolis Wallace, John Soldatos, editors, Emerging Artificial Intelligence Applications in Computer Engineering - Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies. Volume 160 of Frontiers in Artificial Intelligence and Applications, pages 394-405, IOS Press, 2007.

On Context-Specific Substitutability of Web ServicesJyotishman Pathak, Samik Basu, Vasant Honavar. icws 2007: 192-199 [doi]

RNABindR: a server for analyzing and predicting RNA-binding sites in proteinsMichael Terribilini, Jeffry D. Sander, Jae-Hyung Lee, Peter Zaback, Robert L. Jernigan, Vasant Honavar, Drena Dobbs. nar, 35(Web-Server-Issue):578-584, 2007. [doi]

Analysis of Protein Protein Dimeric InterfacesFeihong Wu, Fadi Towfic, Drena Dobbs, Vasant Honavar. bibm 2007: 35 [doi]

2006

Learning accurate and concise naïve Bayes classifiers from attribute value taxonomies and dataJun Zhang 0002, Dae-Ki Kang, Adrian Silvescu, Vasant Honavar. kais, 9(2):157-179, 2006. [doi]

A Tool for Collaborative Construction of Large Biological OntologiesJie Bao, Zhiliang Hu, Doina Caragea, James Reecy, Vasant Honavar. dexaw 2006: 191-195 [doi]

Adapt OWL as a Modular Ontology LanguageJie Bao, Vasant Honavar. owled 2006: [doi]

Divide and Conquer Semantic Web with Modular Ontologies - A Brief Review of Modular Ontology Language FormalismsJie Bao, Vasant Honavar. semweb 2007: [doi]

Modular Ontologies - A Formal Investigation of Semantics and ExpressivityJie Bao, Doina Caragea, Vasant Honavar. aswc 2006: 616-631 [doi]

On the Semantics of Linking and Importing in Modular OntologiesJie Bao, Doina Caragea, Vasant Honavar. semweb 2006: 72-86 [doi]

A Tableau-Based Federated Reasoning Algorithm for Modular OntologiesJie Bao, Doina Caragea, Vasant Honavar. webist 2006: 404-410 [doi]

Package-Based Description Logics - Preliminary ResultsJie Bao, Doina Caragea, Vasant Honavar. semweb 2006: 967-969 [doi]

Efficient Markov Network Structure Discovery using Independence TestsFacundo Bromberg, Dimitris Margaritis, Vasant Honavar. sdm 2006: [doi]

Learning Classifiers from Distributed, Ontology-Extended Data SourcesDoina Caragea, Jun Zhang 0002, Jyotishman Pathak, Vasant Honavar. dawak 2006: 363-373 [doi]

RNBL-MN: A Recursive Naive Bayes Learner for Sequence ClassificationDae-Ki Kang, Adrian Silvescu, Vasant Honavar. pakdd 2006: 45-54 [doi]

Experimental Comparison of Feature Subset Selection Using GA and ACO AlgorithmKeunjoon Lee, Jinu Joo, Jihoon Yang, Vasant Honavar. adma 2006: 465-472 [doi]

Auto-steered Information-Decision Processes for Electric System Asset ManagementJames D. McCalley, Vasant Honavar, Sarah M. Ryan, William Q. Meeker, Ronald A. Roberts, Daji Qiao, Yuan Li. iccS 2006: 440-447 [doi]

Selecting and Composing Web Services through Iterative Reformulation of Functional SpecificationsJyotishman Pathak, Samik Basu, Robyn R. Lutz, Vasant Honavar. ictai 2006: 445-454 [doi]

A Service-Oriented Architecture for Electric Power Transmission System Asset ManagementJyotishman Pathak, Yuan Li, Vasant Honavar, James D. McCalley. icsoc 2007: 26-37 [doi]

Condition Data Aggregation with Application to Failure Rate Calculation of Power TransformersJyotishman Pathak, Yong Jiang, Vasant Honavar, James D. McCalley. hicss 2006: [doi]

Parallel Web Service Composition in MoSCoE: A Choreography-Based ApproachJyotishman Pathak, Samik Basu, Robyn R. Lutz, Vasant Honavar. ecows 2006: 3-12 [doi]

MoSCoE: A Framework for Modeling Web Service Composition and ExecutionJyotishman Pathak, Samik Basu, Robyn R. Lutz, Vasant Honavar. icde 2006: 143 [doi]

Modeling Web Services by Iterative Reformulation of Functional and Non-functional RequirementsJyotishman Pathak, Samik Basu, Vasant Honavar. icsoc 2006: 314-326 [doi]

TRIPPER: Rule Learning Using TaxonomiesFlavian Vasile, Adrian Silvescu, Dae-Ki Kang, Vasant Honavar. pakdd 2006: 55-59 [doi]

Towards the automatic generation of mobile agents for distributed intrusion detection systemYanxin Wang, Smruti Ranjan Behera, Johnny Wong, Guy G. Helmer, Vasant Honavar, Les Miller, Robyn R. Lutz, Mark Slagell. jss, 79(1):1-14, 2006. [doi]

Predicting DNA-binding sites of proteins from amino acid sequenceChanghui Yan, Michael Terribilini, Feihong Wu, Robert L. Jernigan, Drena Dobbs, Vasant Honavar. bmcbi, 7:262, 2006. [doi]

2005

Learning Ontology-Aware ClassifiersJun Zhang 0002, Doina Caragea, Vasant Honavar. dis 2005: 308-321 [doi]

Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information SourcesDoina Caragea, Jun Zhang 0002, Jie Bao, Jyotishman Pathak, Vasant Honavar. dis 2005: 14 [doi]

Learning Support Vector Machines from Distributed Data SourcesCornelia Caragea, Doina Caragea, Vasant Honavar. AAAI 2005: 1602-1603

Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information SourcesDoina Caragea, Jun Zhang 0002, Jie Bao, Jyotishman Pathak, Vasant Honavar. alt 2005: 13-44 [doi]

Information Integration and Knowledge Acquisition from Semantically Heterogeneous Biological Data SourcesDoina Caragea, Jyotishman Pathak, Jie Bao, Adrian Silvescu, Carson M. Andorf, Drena Dobbs, Vasant Honavar. dils 2005: 175-190 [doi]

Information Integration from Semantically Heterogeneous Biological Data SourcesDoina Caragea, Jie Bao, Jyotishman Pathak, Adrian Silvescu, Carson M. Andorf, Drena Dobbs, Vasant Honavar. dexaw 2005: 580-584 [doi]

Learning Classifiers for Misuse Detection Using a Bag of System Calls RepresentationDae-Ki Kang, Doug Fuller, Vasant Honavar. isi 2005: 511-516 [doi]

Multinomial Event Model Based Abstraction for Sequence and Text ClassificationDae-Ki Kang, Jun Zhang 0002, Adrian Silvescu, Vasant Honavar. sara 2005: 134-148 [doi]

A framework for semantic web services discoveryJyotishman Pathak, Neeraj Koul, Doina Caragea, Vasant Honavar. widm 2005: 45-50 [doi]

Learning Classifiers Using Hierarchically Structured Class TaxonomiesFeihong Wu, Jun Zhang 0002, Vasant Honavar. sara 2005: 313-320 [doi]

Discriminatively Trained Markov Model for Sequence ClassificationOksana Yakhnenko, Adrian Silvescu, Vasant Honavar. icdm 2005: 498-505 [doi]

2004

AVT-NBL: An Algorithm for Learning Compact and Accurate Naïve Bayes Classifiers from Attribute Value Taxonomies and DataJun Zhang 0002, Vasant Honavar. icdm 2004: 289-296 [doi]

Integration of Domain-Specific and Domain-Independent Ontologies for Colonoscopy Video Database AnnotationJie Bao, Yu Cao, Wallapak Tavanapong, Vasant Honavar. ike 2004: 82-90

A Framework for Learning from Distributed Data Using Sufficient Statistics and Its Application to Learning Decision TreesDoina Caragea, Adrian Silvescu, Vasant Honavar. ijhis, 1(2):80-89, 2004. [doi]

Learning Classifiers from Semantically Heterogeneous DataDoina Caragea, Jyotishman Pathak, Vasant Honavar. coopis 2004: 963-980 [doi]

Generating AVTs Using GA for Learning Decision Tree Classifiers with Missing DataJinu Joo, Jun Zhang 0002, Jihoon Yang, Vasant Honavar. dis 2004: 347-354 [doi]

Predicting binding sites of hydrolase-inhibitor complexes by combining several methodsTaner 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. bmcbi, 5:205, 2004. [doi]

A two-stage classifier for identification of protein-protein interface residuesChanghui Yan, Drena Dobbs, Vasant Honavar. ismb 2004: 371-378 [doi]

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