| 2008 |
|---|
| 99 | | 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 |
| 98 | EE | 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 |
|---|
| 97 | | 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 |
| 96 | | Jie Bao,
Giora Slutzki,
Vasant Honavar:
A Semantic Importing Approach to Knowledge Reuse from Multiple Ontologies.
AAAI 2007: 1304-1309 |
| 95 | EE | Cornelia Caragea,
Jivko Sinapov,
Vasant Honavar,
Drena Dobbs:
Assessing the Performance of Macromolecular Sequence Classifiers.
BIBE 2007: 320-326 |
| 94 | EE | Feihong Wu,
Fadi Towfic,
Drena Dobbs,
Vasant Honavar:
Analysis of Protein Protein Dimeric Interfaces.
BIBM 2007: 35 |
| 93 | EE | Jyotishman Pathak,
Samik Basu,
Vasant Honavar:
On Context-Specific Substitutability of Web Services.
ICWS 2007: 192-199 |
| 92 | EE | 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 |
| 91 | EE | Jie Bao,
Giora Slutzki,
Vasant Honavar:
Privacy-Preserving Reasoning on the SemanticWeb.
Web Intelligence 2007: 791-797 |
| 90 | EE | 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 |
|---|
| 89 | EE | Keunjoon Lee,
Jinu Joo,
Jihoon Yang,
Vasant Honavar:
Experimental Comparison of Feature Subset Selection Using GA and ACO Algorithm.
ADMA 2006: 465-472 |
| 88 | EE | Jie Bao,
Doina Caragea,
Vasant Honavar:
Modular Ontologies - A Formal Investigation of Semantics and Expressivity.
ASWC 2006: 616-631 |
| 87 | EE | Jie Bao,
Zhiliang Hu,
Doina Caragea,
James Reecy,
Vasant Honavar:
A Tool for Collaborative Construction of Large Biological Ontologies.
DEXA Workshops 2006: 191-195 |
| 86 | EE | Doina Caragea,
Jun Zhang,
Jyotishman Pathak,
Vasant Honavar:
Learning Classifiers from Distributed, Ontology-Extended Data Sources.
DaWaK 2006: 363-373 |
| 85 | EE | Jyotishman Pathak,
Samik Basu,
Robyn R. Lutz,
Vasant Honavar:
Parallel Web Service Composition in MoSCoE: A Choreography-Based Approach.
ECOWS 2006: 3-12 |
| 84 | EE | Jyotishman Pathak,
Yong Jiang,
Vasant Honavar,
James D. McCalley:
Condition Data Aggregation with Application to Failure Rate Calculation of Power Transformers.
HICSS 2006 |
| 83 | EE | Jyotishman Pathak,
Samik Basu,
Robyn R. Lutz,
Vasant Honavar:
MoSCoE: A Framework for Modeling Web Service Composition and Execution.
ICDE Workshops 2006: 143 |
| 82 | EE | Jyotishman Pathak,
Samik Basu,
Vasant Honavar:
Modeling Web Services by Iterative Reformulation of Functional and Non-functional Requirements.
ICSOC 2006: 314-326 |
| 81 | EE | 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 |
| 80 | EE | Jyotishman Pathak,
Samik Basu,
Robyn R. Lutz,
Vasant Honavar:
Selecting and Composing Web Services through Iterative Reformulation of Functional Specifications.
ICTAI 2006: 445-454 |
| 79 | EE | 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 |
| 78 | EE | Jie Bao,
Doina Caragea,
Vasant Honavar:
On the Semantics of Linking and Importing in Modular Ontologies.
International Semantic Web Conference 2006: 72-86 |
| 77 | EE | Jie Bao,
Doina Caragea,
Vasant Honavar:
Package-Based Description Logics - Preliminary Results.
International Semantic Web Conference 2006: 967-969 |
| 76 | EE | Dae-Ki Kang,
Adrian Silvescu,
Vasant Honavar:
RNBL-MN: A Recursive Naive Bayes Learner for Sequence Classification.
PAKDD 2006: 45-54 |
| 75 | EE | Flavian Vasile,
Adrian Silvescu,
Dae-Ki Kang,
Vasant Honavar:
TRIPPER: Rule Learning Using Taxonomies.
PAKDD 2006: 55-59 |
| 74 | EE | Facundo Bromberg,
Dimitris Margaritis,
Vasant Honavar:
Efficient Markov Network Structure Discovery using Independence Tests.
SDM 2006 |
| 73 | EE | Jie Bao,
Doina Caragea,
Vasant Honavar:
A Tableau-Based Federated Reasoning Algorithm for Modular Ontologies.
Web Intelligence 2006: 404-410 |
| 72 | EE | Jie Bao,
Vasant Honavar:
Divide and Conquer Semantic Web with Modular Ontologies - A Brief Review of Modular Ontology Language Formalisms.
WoMO 2006 |
| 71 | EE | 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) |
| 70 | EE | 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 |
|---|
| 69 | | Cornelia Caragea,
Doina Caragea,
Vasant Honavar:
Learning Support Vector Machines from Distributed Data Sources.
AAAI 2005: 1602-1603 |
| 68 | EE | 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 |
| 67 | EE | 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 |
| 66 | EE | 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 |
| 65 | EE | 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 |
| 64 | EE | Jun Zhang,
Doina Caragea,
Vasant Honavar:
Learning Ontology-Aware Classifiers.
Discovery Science 2005: 308-321 |
| 63 | EE | Oksana Yakhnenko,
Adrian Silvescu,
Vasant Honavar:
Discriminatively Trained Markov Model for Sequence Classification.
ICDM 2005: 498-505 |
| 62 | EE | Dae-Ki Kang,
Doug Fuller,
Vasant Honavar:
Learning Classifiers for Misuse Detection Using a Bag of System Calls Representation.
ISI 2005: 511-516 |
| 61 | EE | Dae-Ki Kang,
Jun Zhang,
Adrian Silvescu,
Vasant Honavar:
Multinomial Event Model Based Abstraction for Sequence and Text Classification.
SARA 2005: 134-148 |
| 60 | EE | Feihong Wu,
Jun Zhang,
Vasant Honavar:
Learning Classifiers Using Hierarchically Structured Class Taxonomies.
SARA 2005: 313-320 |
| 59 | EE | Jyotishman Pathak,
Neeraj Koul,
Doina Caragea,
Vasant Honavar:
A framework for semantic web services discovery.
WIDM 2005: 45-50 |
| 58 | EE | 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 |
|---|
| 57 | EE | Doina Caragea,
Jyotishman Pathak,
Vasant Honavar:
Learning Classifiers from Semantically Heterogeneous Data.
CoopIS/DOA/ODBASE (2) 2004: 963-980 |
| 56 | EE | 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 |
| 55 | EE | 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 |
| 54 | EE | 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 |
| 53 | | 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 |
| 52 | EE | 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 |
| 51 | EE | 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 |
| 50 | EE | 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) |
| 49 | EE | 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) |
| 48 | EE | 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 |
|---|
| 47 | EE | Doina Caragea,
Dianne Cook,
Vasant Honavar:
Towards Simple, Easy-to-Understand, yet Accurate Classifiers.
ICDM 2003: 497-500 |
| 46 | | Jun Zhang,
Vasant Honavar:
Learning from Attribute Value Taxonomies and Partially Specified Instances.
ICML 2003: 880-887 |
| 45 | EE | Doina Caragea,
Jaime Reinoso,
Adrian Silvescu,
Vasant Honavar:
Statistics Gathering for Learning from Distributed, Heterogeneous and Autonomous Data Sources.
IIWeb 2003: 99-104 |
| 44 | EE | Anna Atramentov,
Hector Leiva,
Vasant Honavar:
A Multi-relational Decision Tree Learning Algorithm - Implementation and Experiments.
ILP 2003: 38-56 |
| 43 | | 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 |
| 42 | | Doina Caragea,
Adrian Silvescu,
Vasant Honavar:
Learning Decision Trees form Distributed Heterogeneous Autonomous Data.
MAICS 2003: 10-17 |
| 41 | EE | 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) |
| 40 | EE | 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 |
|---|
| 39 | | H. John Caulfield,
Shu-Heng Chen,
Heng-Da Cheng,
Richard J. Duro,
Vasant Honavar,
Etienne E. Kerre,
Mi Lu,
Manuel Grana 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 |
| 38 | | 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 |
| 37 | | 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 |
| 36 | | Carson M. Andorf,
Drena Dobbs,
Vasant Honavar:
Discovering Protein Function Classification Rules from Reduced Alphabet Representations of Protein Sequences.
JCIS 2002: 1200-1206 |
| 35 | EE | Jun Zhang,
Adrian Silvescu,
Vasant Honavar:
Ontology-Driven Induction of Decision Trees at Multiple Levels of Abstraction.
SARA 2002: 316-323 |
| 34 | EE | 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) |
| 33 | EE | 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 |
|---|
| 32 | EE | 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 |
| 31 | EE | Doina Caragea,
Dianne Cook,
Vasant Honavar:
Gaining insights into support vector machine pattern classifiers using projection-based tour methods.
KDD 2001: 251-256 |
| 30 | | 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) |
| 29 | EE | 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) |
| 28 | EE | 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) |
| 27 | | Vasant Honavar,
Colin de la Higuera:
Introduction.
Machine Learning 44(1/2): 5-7 (2001) |
| 26 | | Rajesh Parekh,
Vasant Honavar:
Learning DFA from Simple Examples.
Machine Learning 44(1/2): 9-35 (2001) |
| 2000 |
|---|
| 25 | | Doina Caragea,
Adrian Silvescu,
Vasant Honavar:
Incremental and Distributed Learning with Support Vector Machines.
AAAI/IAAI 2000: 1067 |
| 24 | | Rajesh Parekh,
Vasant Honavar:
On the Relationship between Models for Learning in Helpful Environments.
ICGI 2000: 207-220 |
| 23 | | Prashant Pai,
Leslie L. Miller,
Vasant Honavar,
Johnny Wong,
Sree Nilakanta:
Supporting organizational knowledge management with agents.
IRMA Conference 2000: 325-329 |
| 22 | EE | Mokdong Chug,
Vasant Honavar:
A Negotiation Model in Agent-mediated Electronic Commerce.
ISMSE 2000: 403-410 |
| 1999 |
|---|
| 21 | | 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 |
| 20 | | Guy G. Helmer,
Johnny S. Wong,
Vasant Honavar,
Les Miller:
Feature Selection Using a Genetic Algorithm for Intrusion Detection.
GECCO 1999: 1781 |
| 19 | | Rajesh Parekh,
Vasant Honavar:
Simple DFA are Polynomially Probably Exactly Learnable from Simple Examples.
ICML 1999: 298-306 |
| 18 | EE | Jihoon Yang,
Rajesh Parekh,
Vasant Honavar,
Drena Dobbs:
Data-Driven Theory Refinement Using KBDistAl.
IDA 1999: 331-342 |
| 17 | EE | Chun-Hsien Chen,
Vasant Honavar:
A neural-network architecture for syntax analysis.
IEEE Transactions on Neural Networks 10(1): 94-114 (1999) |
| 16 | EE | Jihoon Yang,
Rajesh Parekh,
Vasant Honavar:
DistAl: An inter-pattern distance-based constructive learning algorithm.
Intell. Data Anal. 3(1): 55-73 (1999) |
| 1998 |
|---|
| 15 | | Vasant Honavar,
Giora Slutzki:
Grammatical Inference, 4th International Colloquium, ICGI-98, Ames, Iowa, USA, July 12-14, 1998, Proceedings
Springer 1998 |
| 14 | EE | Rajesh Parekh,
Codrin M. Nichitiu,
Vasant Honavar:
A Polynominal Time Incremental Algorithm for Learning DFA.
ICGI 1998: 37-49 |
| 13 | | Jihoon Yang,
Vasant Honavar:
Feature Subset Selection Using a Genetic Algorithm.
IEEE Intelligent Systems 13(2): 44-49 (1998) |
| 12 | EE | 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 |
|---|
| 11 | | Rajesh Parekh,
Vasant Honavar:
Learning DFA from Simple Examples.
ALT 1997: 116-131 |
| 10 | | 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 |
|---|
| 9 | | 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 |
| 8 | | Karthik Balakrishnan,
Vasant Honavar:
Experiments in Evolutionary Synthesis of Robotic Neurocontrollers.
AAAI/IAAI, Vol. 2 1996: 1378 |
| 7 | | Rajesh Parekh,
Vasant Honavar:
An Incremental Interactive Algorithm for Regular Grammar Inference.
AAAI/IAAI, Vol. 2 1996: 1397 |
| 6 | | Rajesh Parekh,
Jihoon Yang,
Vasant Honavar:
Constructive Neural Network Learning Algorithms.
AAAI/IAAI, Vol. 2 1996: 1398 |
| 5 | | Rajesh Parekh,
Vasant Honavar:
An incremental interactive algorithm for grammar inference.
ICGI 1996: 238-249 |
| 1995 |
|---|
| 4 | EE | 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 |
|---|
| 3 | EE | Vasant Honavar,
Leonard Uhr:
Generative learning structures and processes for generalized connectionist networks.
Inf. Sci. 70(1-2): 75-108 (1993) |
| 1992 |
|---|
| 2 | | Vasant Honavar:
Neural Network Design and the Complexity of Learning (Book Review).
Machine Learning 9: 95-98 (1992) |
| 1989 |
|---|
| 1 | | Vasant Honavar,
Leonard Uhr:
Generation, Local Receptive Fields and Global Convergence Improve Perceptual Learning in Connectionist Networks.
IJCAI 1989: 180-185 |
