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Vasant Honavar: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Karthik Balakrishnan, Vasant Honavar
    Experiments in Evolutionary Synthesis of Robotic Neurocontrollers. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, Vol. 2, 1996, pp:1378- [Conf]
  2. Cornelia Caragea, Doina Caragea, Vasant Honavar
    Learning Support Vector Machines from Distributed Data Sources. [Citation Graph (0, 0)][DBLP]
    AAAI, 2005, pp:1602-1603 [Conf]
  3. Doina Caragea, Adrian Silvescu, Vasant Honavar
    Incremental and Distributed Learning with Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2000, pp:1067- [Conf]
  4. Armin R. Mikler, Vasant Honavar, Johnny S. Wong
    Analysis of Utility-Theoretic Heuristics for Intelligent Adaptive Network Routing. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, Vol. 1, 1996, pp:96-101 [Conf]
  5. Rajesh Parekh, Vasant Honavar
    An Incremental Interactive Algorithm for Regular Grammar Inference. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, Vol. 2, 1996, pp:1397- [Conf]
  6. Rajesh Parekh, Jihoon Yang, Vasant Honavar
    Constructive Neural Network Learning Algorithms. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, Vol. 2, 1996, pp:1398- [Conf]
  7. Keunjoon Lee, Jinu Joo, Jihoon Yang, Vasant Honavar
    Experimental Comparison of Feature Subset Selection Using GA and ACO Algorithm. [Citation Graph (0, 0)][DBLP]
    ADMA, 2006, pp:465-472 [Conf]
  8. Doina Caragea, Jun Zhang 0002, Jie Bao, Jyotishman Pathak, Vasant Honavar
    Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information Sources. [Citation Graph (0, 0)][DBLP]
    ALT, 2005, pp:13-44 [Conf]
  9. Rajesh Parekh, Vasant Honavar
    Learning DFA from Simple Examples. [Citation Graph (0, 0)][DBLP]
    ALT, 1997, pp:116-131 [Conf]
  10. Jie Bao, Doina Caragea, Vasant Honavar
    Modular Ontologies - A Formal Investigation of Semantics and Expressivity. [Citation Graph (0, 0)][DBLP]
    ASWC, 2006, pp:616-631 [Conf]
  11. Doina Caragea, Jyotishman Pathak, Vasant Honavar
    Learning Classifiers from Semantically Heterogeneous Data. [Citation Graph (0, 0)][DBLP]
    CoopIS/DOA/ODBASE (2), 2004, pp:963-980 [Conf]
  12. Doina Caragea, Jun Zhang 0002, Jyotishman Pathak, Vasant Honavar
    Learning Classifiers from Distributed, Ontology-Extended Data Sources. [Citation Graph (0, 0)][DBLP]
    DaWaK, 2006, pp:363-373 [Conf]
  13. Jie Bao, Zhiliang Hu, Doina Caragea, James Reecy, Vasant Honavar
    A Tool for Collaborative Construction of Large Biological Ontologies. [Citation Graph (0, 0)][DBLP]
    DEXA Workshops, 2006, pp:191-195 [Conf]
  14. Doina Caragea, Jie Bao, Jyotishman Pathak, Adrian Silvescu, Carson M. Andorf, Drena Dobbs, Vasant Honavar
    Information Integration from Semantically Heterogeneous Biological Data Sources. [Citation Graph (0, 0)][DBLP]
    DEXA Workshops, 2005, pp:580-584 [Conf]
  15. 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. [Citation Graph (0, 0)][DBLP]
    DILS, 2005, pp:175-190 [Conf]
  16. Doina Caragea, Jun Zhang 0002, Jie Bao, Jyotishman Pathak, Vasant Honavar
    Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information Sources. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2005, pp:14- [Conf]
  17. Jinu Joo, Jun Zhang 0002, Jihoon Yang, Vasant Honavar
    Generating AVTs Using GA for Learning Decision Tree Classifiers with Missing Data. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2004, pp:347-354 [Conf]
  18. Jun Zhang 0002, Doina Caragea, Vasant Honavar
    Learning Ontology-Aware Classifiers. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2005, pp:308-321 [Conf]
  19. Jyotishman Pathak, Samik Basu, Robyn R. Lutz, Vasant Honavar
    Parallel Web Service Composition in MoSCoE: A Choreography-Based Approach. [Citation Graph (0, 0)][DBLP]
    ECOWS, 2006, pp:3-12 [Conf]
  20. Guy G. Helmer, Johnny S. Wong, Vasant Honavar, Les Miller
    Feature Selection Using a Genetic Algorithm for Intrusion Detection. [Citation Graph (0, 0)][DBLP]
    GECCO, 1999, pp:1781- [Conf]
  21. Jyotishman Pathak, Yong Jiang, Vasant Honavar, James D. McCalley
    Condition Data Aggregation with Application to Failure Rate Calculation of Power Transformers. [Citation Graph (0, 0)][DBLP]
    HICSS, 2006, pp:- [Conf]
  22. 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. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (3), 2006, pp:440-447 [Conf]
  23. Jyotishman Pathak, Samik Basu, Robyn R. Lutz, Vasant Honavar
    MoSCoE: A Framework for Modeling Web Service Composition and Execution. [Citation Graph (0, 0)][DBLP]
    ICDE Workshops, 2006, pp:143- [Conf]
  24. Doina Caragea, Dianne Cook, Vasant Honavar
    Towards Simple, Easy-to-Understand, yet Accurate Classifiers. [Citation Graph (0, 0)][DBLP]
    ICDM, 2003, pp:497-500 [Conf]
  25. Dae-Ki Kang, Adrian Silvescu, Jun Zhang 0002, Vasant Honavar
    Generation of Attribute Value Taxonomies from Data for Data-Driven Construction of Accurate and Compact Classifiers. [Citation Graph (0, 0)][DBLP]
    ICDM, 2004, pp:130-137 [Conf]
  26. Oksana Yakhnenko, Adrian Silvescu, Vasant Honavar
    Discriminatively Trained Markov Model for Sequence Classification. [Citation Graph (0, 0)][DBLP]
    ICDM, 2005, pp:498-505 [Conf]
  27. Jun Zhang 0002, Vasant Honavar
    AVT-NBL: An Algorithm for Learning Compact and Accurate Naïve Bayes Classifiers from Attribute Value Taxonomies and Data. [Citation Graph (0, 0)][DBLP]
    ICDM, 2004, pp:289-296 [Conf]
  28. Rajesh Parekh, Vasant Honavar
    On the Relationship between Models for Learning in Helpful Environments. [Citation Graph (0, 0)][DBLP]
    ICGI, 2000, pp:207-220 [Conf]
  29. Rajesh Parekh, Vasant Honavar
    An incremental interactive algorithm for grammar inference. [Citation Graph (0, 0)][DBLP]
    ICGI, 1996, pp:238-249 [Conf]
  30. Rajesh Parekh, Codrin M. Nichitiu, Vasant Honavar
    A Polynominal Time Incremental Algorithm for Learning DFA. [Citation Graph (0, 0)][DBLP]
    ICGI, 1998, pp:37-49 [Conf]
  31. Rajesh Parekh, Vasant Honavar
    Simple DFA are Polynomially Probably Exactly Learnable from Simple Examples. [Citation Graph (0, 0)][DBLP]
    ICML, 1999, pp:298-306 [Conf]
  32. Jun Zhang 0002, Vasant Honavar
    Learning from Attribute Value Taxonomies and Partially Specified Instances. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:880-887 [Conf]
  33. Jyotishman Pathak, Samik Basu, Vasant Honavar
    Modeling Web Services by Iterative Reformulation of Functional and Non-functional Requirements. [Citation Graph (0, 0)][DBLP]
    ICSOC, 2006, pp:314-326 [Conf]
  34. Jyotishman Pathak, Samik Basu, Robyn R. Lutz, Vasant Honavar
    Selecting and Composing Web Services through Iterative Reformulation of Functional Specifications. [Citation Graph (0, 0)][DBLP]
    ICTAI, 2006, pp:445-454 [Conf]
  35. Jihoon Yang, Rajesh Parekh, Vasant Honavar, Drena Dobbs
    Data-Driven Theory Refinement Using KBDistAl. [Citation Graph (0, 0)][DBLP]
    IDA, 1999, pp:331-342 [Conf]
  36. Doina Caragea, Jaime Reinoso, Adrian Silvescu, Vasant Honavar
    Statistics Gathering for Learning from Distributed, Heterogeneous and Autonomous Data Sources. [Citation Graph (0, 0)][DBLP]
    IIWeb, 2003, pp:99-104 [Conf]
  37. Vasant Honavar, Leonard Uhr
    Generation, Local Receptive Fields and Global Convergence Improve Perceptual Learning in Connectionist Networks. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1989, pp:180-185 [Conf]
  38. Jie Bao, Yu Cao, Wallapak Tavanapong, Vasant Honavar
    Integration of Domain-Specific and Domain-Independent Ontologies for Colonoscopy Video Database Annotation. [Citation Graph (0, 0)][DBLP]
    IKE, 2004, pp:82-90 [Conf]
  39. Anna Atramentov, Hector Leiva, Vasant Honavar
    A Multi-relational Decision Tree Learning Algorithm - Implementation and Experiments. [Citation Graph (0, 0)][DBLP]
    ILP, 2003, pp:38-56 [Conf]
  40. 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. [Citation Graph (0, 0)][DBLP]
    IRI, 2003, pp:183-191 [Conf]
  41. Prashant Pai, Leslie L. Miller, Vasant Honavar, Johnny Wong, Sree Nilakanta
    Supporting organizational knowledge management with agents. [Citation Graph (0, 0)][DBLP]
    IRMA Conference, 2000, pp:325-329 [Conf]
  42. Dae-Ki Kang, Doug Fuller, Vasant Honavar
    Learning Classifiers for Misuse Detection Using a Bag of System Calls Representation. [Citation Graph (0, 0)][DBLP]
    ISI, 2005, pp:511-516 [Conf]
  43. Changhui Yan, Drena Dobbs, Vasant Honavar
    A two-stage classifier for identification of protein-protein interface residues. [Citation Graph (0, 0)][DBLP]
    ISMB/ECCB (Supplement of Bioinformatics), 2004, pp:371-378 [Conf]
  44. Carson M. Andorf, Drena Dobbs, Vasant Honavar
    Discovering Protein Function Classification Rules from Reduced Alphabet Representations of Protein Sequences. [Citation Graph (0, 0)][DBLP]
    JCIS, 2002, pp:1200-1206 [Conf]
  45. 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. [Citation Graph (0, 0)][DBLP]
    JCIS, 2002, pp:1193-1199 [Conf]
  46. Doina Caragea, Dianne Cook, Vasant Honavar
    Gaining insights into support vector machine pattern classifiers using projection-based tour methods. [Citation Graph (0, 0)][DBLP]
    KDD, 2001, pp:251-256 [Conf]
  47. Doina Caragea, Adrian Silvescu, Vasant Honavar
    Learning Decision Trees form Distributed Heterogeneous Autonomous Data. [Citation Graph (0, 0)][DBLP]
    MAICS, 2003, pp:10-17 [Conf]
  48. Mokdong Chug, Vasant Honavar
    A Negotiation Model in Agent-mediated Electronic Commerce. [Citation Graph (0, 0)][DBLP]
    ISMSE, 2000, pp:403-410 [Conf]
  49. Doina Caragea, Adrian Silvescu, Vasant Honavar
    Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources. [Citation Graph (0, 0)][DBLP]
    Emergent Neural Computational Architectures Based on Neuroscience, 2001, pp:547-559 [Conf]
  50. Dae-Ki Kang, Adrian Silvescu, Vasant Honavar
    RNBL-MN: A Recursive Naive Bayes Learner for Sequence Classification. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2006, pp:45-54 [Conf]
  51. Flavian Vasile, Adrian Silvescu, Dae-Ki Kang, Vasant Honavar
    TRIPPER: Rule Learning Using Taxonomies. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2006, pp:55-59 [Conf]
  52. Feihong Wu, Jun Zhang 0002, Vasant Honavar
    Learning Classifiers Using Hierarchically Structured Class Taxonomies. [Citation Graph (0, 0)][DBLP]
    SARA, 2005, pp:313-320 [Conf]
  53. Jun Zhang 0002, Adrian Silvescu, Vasant Honavar
    Ontology-Driven Induction of Decision Trees at Multiple Levels of Abstraction. [Citation Graph (0, 0)][DBLP]
    SARA, 2002, pp:316-323 [Conf]
  54. Dae-Ki Kang, Jun Zhang 0002, Adrian Silvescu, Vasant Honavar
    Multinomial Event Model Based Abstraction for Sequence and Text Classification. [Citation Graph (0, 0)][DBLP]
    SARA, 2005, pp:134-148 [Conf]
  55. Facundo Bromberg, Dimitris Margaritis, Vasant Honavar
    Efficient Markov Network Structure Discovery using Independence Tests. [Citation Graph (0, 0)][DBLP]
    SDM, 2006, pp:- [Conf]
  56. Jie Bao, Doina Caragea, Vasant Honavar
    On the Semantics of Linking and Importing in Modular Ontologies. [Citation Graph (0, 0)][DBLP]
    International Semantic Web Conference, 2006, pp:72-86 [Conf]
  57. Jie Bao, Doina Caragea, Vasant Honavar
    Package-Based Description Logics - Preliminary Results. [Citation Graph (0, 0)][DBLP]
    International Semantic Web Conference, 2006, pp:967-969 [Conf]
  58. Jyotishman Pathak, Doina Caragea, Vasant Honavar
    Ontology-Extended Component-Based Workflows : A Framework for Constructing Complex Workflows from Semantically Heterogeneous Software Components. [Citation Graph (0, 0)][DBLP]
    SWDB, 2004, pp:41-56 [Conf]
  59. Jie Bao, Doina Caragea, Vasant Honavar
    A Tableau-Based Federated Reasoning Algorithm for Modular Ontologies. [Citation Graph (0, 0)][DBLP]
    Web Intelligence, 2006, pp:404-410 [Conf]
  60. Jyotishman Pathak, Neeraj Koul, Doina Caragea, Vasant Honavar
    A framework for semantic web services discovery. [Citation Graph (0, 0)][DBLP]
    WIDM, 2005, pp:45-50 [Conf]
  61. 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. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2004, v:5, n:, pp:205- [Journal]
  62. Chun-Hsien Chen, Vasant Honavar
    A Neural Architecture for Content as well as Address-based Storage and Recall: Theory and Applications. [Citation Graph (0, 0)][DBLP]
    Connect. Sci., 1995, v:7, n:3-4, pp:281-300 [Journal]
  63. Jihoon Yang, Vasant Honavar
    Feature Subset Selection Using a Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    IEEE Intelligent Systems, 1998, v:13, n:2, pp:44-49 [Journal]
  64. Jihoon Yang, Rajesh Parekh, Vasant Honavar
    DistAl: An inter-pattern distance-based constructive learning algorithm. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 1999, v:3, n:1, pp:55-73 [Journal]
  65. Doina Caragea, Adrian Silvescu, Vasant Honavar
    A Framework for Learning from Distributed Data Using Sufficient Statistics and Its Application to Learning Decision Trees. [Citation Graph (0, 0)][DBLP]
    Int. J. Hybrid Intell. Syst., 2004, v:1, n:2, pp:80-89 [Journal]
  66. Vasant Honavar, Leonard Uhr
    Generative learning structures and processes for generalized connectionist networks. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 1993, v:70, n:1-2, pp:75-108 [Journal]
  67. Xiangyun Wang, Diane Schroeder, Drena Dobbs, Vasant Honavar
    Automated data-driven discovery of motif-based protein function classifiers. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2003, v:155, n:1-2, pp:1-18 [Journal]
  68. Guy G. Helmer, Johnny S. Wong, Vasant Honavar, Les Miller
    Automated discovery of concise predictive rules for intrusion detection. [Citation Graph (0, 0)][DBLP]
    Journal of Systems and Software, 2002, v:60, n:3, pp:165-175 [Journal]
  69. Guy G. Helmer, Johnny S. Wong, Vasant Honavar, Les Miller, Yanxin Wang
    Lightweight agents for intrusion detection. [Citation Graph (0, 0)][DBLP]
    Journal of Systems and Software, 2003, v:67, n:2, pp:109-122 [Journal]
  70. Armin R. Mikler, Vasant Honavar, Johnny S. Wong
    Autonomous agents for coordinated distributed parameterized heuristic routing in large dynamic communication networks. [Citation Graph (0, 0)][DBLP]
    Journal of Systems and Software, 2001, v:56, n:3, pp:231-246 [Journal]
  71. Armin R. Mikler, Johnny S. Wong, Vasant Honavar
    Quo Vadis - A Framework for Intelligent Routing in Large Communication Networks. [Citation Graph (0, 0)][DBLP]
    Journal of Systems and Software, 1997, v:37, n:1, pp:61-73 [Journal]
  72. Armin R. Mikler, Johnny S. K. Wong, Vasant Honavar
    An object oriented approach to simulating large communication networks. [Citation Graph (0, 0)][DBLP]
    Journal of Systems and Software, 1998, v:40, n:2, pp:151-164 [Journal]
  73. 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. [Citation Graph (0, 0)][DBLP]
    Journal of Systems and Software, 2006, v:79, n:1, pp:1-14 [Journal]
  74. Johnny Wong, Guy G. Helmer, Venkatraman Naganathan, Sriniwas Polavarapu, Vasant Honavar, Les Miller
    SMART mobile agent facility. [Citation Graph (0, 0)][DBLP]
    Journal of Systems and Software, 2001, v:56, n:1, pp:9-22 [Journal]
  75. Jun Zhang 0002, Dae-Ki Kang, Adrian Silvescu, Vasant Honavar
    Learning accurate and concise naïve Bayes classifiers from attribute value taxonomies and data. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 2006, v:9, n:2, pp:157-179 [Journal]
  76. Vasant Honavar
    Neural Network Design and the Complexity of Learning (Book Review). [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1992, v:9, n:, pp:95-98 [Journal]
  77. Vasant Honavar, Colin de la Higuera
    Introduction. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2001, v:44, n:1/2, pp:5-7 [Journal]
  78. Rajesh Parekh, Vasant Honavar
    Learning DFA from Simple Examples. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2001, v:44, n:1/2, pp:9-35 [Journal]
  79. Changhui Yan, Vasant Honavar, Drena Dobbs
    Identification of interface residues in protease-inhibitor and antigen-antibody complexes: a support vector machine approach. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 2004, v:13, n:2, pp:123-129 [Journal]
  80. 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. [Citation Graph (0, 0)][DBLP]
    Requir. Eng., 2002, v:7, n:4, pp:207-220 [Journal]
  81. Robi Polikar, L. Upda, S. S. Upda, Vasant Honavar
    Learn++: an incremental learning algorithm for supervised neural networks. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part C, 2001, v:31, n:4, pp:497-508 [Journal]
  82. Jie Bao, Giora Slutzki, Vasant Honavar
    A Semantic Importing Approach to Knowledge Reuse from Multiple Ontologies. [Citation Graph (0, 0)][DBLP]
    AAAI, 2007, pp:1304-1309 [Conf]
  83. 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. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (1), 2007, pp:1066-1073 [Conf]
  84. Jyotishman Pathak, Yuan Li, Vasant Honavar, James D. McCalley
    A Service-Oriented Architecture for Electric Power Transmission System Asset Management. [Citation Graph (0, 0)][DBLP]
    ICSOC Workshops, 2006, pp:26-37 [Conf]
  85. Jyotishman Pathak, Samik Basu, Vasant Honavar
    On Context-Specific Substitutability of Web Services. [Citation Graph (0, 0)][DBLP]
    ICWS, 2007, pp:192-199 [Conf]

  86. Composing Web Services through Automatic Reformulation of Service Specifications. [Citation Graph (, )][DBLP]


  87. Web Service Substitution Based on Preferences Over Non-functional Attributes. [Citation Graph (, )][DBLP]


  88. On the Decidability of Role Mappings between Modular Ontologies. [Citation Graph (, )][DBLP]


  89. Dominance Testing via Model Checking. [Citation Graph (, )][DBLP]


  90. Assessing the Performance of Macromolecular Sequence Classifiers. [Citation Graph (, )][DBLP]


  91. MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio. [Citation Graph (, )][DBLP]


  92. Combining Super-Structuring and Abstraction on Sequence Classification. [Citation Graph (, )][DBLP]


  93. Unsupervised Learning of Probabilistic Context-Free Grammar using Iterative Biclustering. [Citation Graph (, )][DBLP]


  94. TCP-Compose* - A TCP-Net Based Algorithm for Efficient Composition of Web Services Using Qualitative Preferences. [Citation Graph (, )][DBLP]


  95. Attribute Value Taxonomy Generation through Matrix Based Adaptive Genetic Algorithm. [Citation Graph (, )][DBLP]


  96. Design and Implementation of a Query Planner for Data Integration. [Citation Graph (, )][DBLP]


  97. Learning Link-Based Classifiers from Ontology-Extended Textual Data. [Citation Graph (, )][DBLP]


  98. Efficient Dominance Testing for Unconditional Preferences. [Citation Graph (, )][DBLP]


  99. Learning Link-Based Naïve Bayes Classifiers from Ontology-Extended Distributed Data. [Citation Graph (, )][DBLP]


  100. Striking Similarities in Diverse Telomerase Proteins Revealed by Combining Structure Prediction and Machine Learning Approaches. [Citation Graph (, )][DBLP]


  101. Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence. [Citation Graph (, )][DBLP]


  102. Divide and Conquer Semantic Web with Modular Ontologies - A Brief Review of Modular Ontology Language Formalisms. [Citation Graph (, )][DBLP]


  103. Aligning Biomolecular Networks Using Modular Graph Kernels. [Citation Graph (, )][DBLP]


  104. Privacy-Preserving Reasoning on the SemanticWeb. [Citation Graph (, )][DBLP]


  105. Federated ALCI: Preliminary Report. [Citation Graph (, )][DBLP]


  106. Learning Classifiers from Large Databases Using Statistical Queries. [Citation Graph (, )][DBLP]


  107. Secrecy-Preserving Query Answering for Instance Checking in EL\mathcal{EL}. [Citation Graph (, )][DBLP]


  108. Analysis of Protein Protein Dimeric Interfaces. [Citation Graph (, )][DBLP]


  109. Predicting Protective Linear B-Cell Epitopes Using Evolutionary Information. [Citation Graph (, )][DBLP]


  110. Using Global Sequence Similarity to Enhance Biological Sequence Labeling. [Citation Graph (, )][DBLP]


  111. Detection of Gene Orthology Based on Protein-Protein Interaction Networks. [Citation Graph (, )][DBLP]


  112. Adapt OWL as a Modular Ontology Language. [Citation Graph (, )][DBLP]


  113. Complexes of on-line self assembly. [Citation Graph (, )][DBLP]


  114. On Utilizing Qualitative Preferences in Web Service Composition: A CP-net Based Approach. [Citation Graph (, )][DBLP]


  115. Glycosylation site prediction using ensembles of Support Vector Machine classifiers. [Citation Graph (, )][DBLP]


  116. Exploring inconsistencies in genome-wide protein function annotations: a machine learning approach. [Citation Graph (, )][DBLP]


  117. Use of machine learning algorithms to classify binary protein sequences as highly-designable or poorly-designable. [Citation Graph (, )][DBLP]


  118. Mixture of experts models to exploit global sequence similarity on biomolecular sequence labeling. [Citation Graph (, )][DBLP]


  119. Predicting DNA-binding sites of proteins from amino acid sequence. [Citation Graph (, )][DBLP]


  120. Detection of gene orthology from gene co-expression and protein interaction networks. [Citation Graph (, )][DBLP]


  121. Identifying Interaction Sites in "Recalcitrant" Proteins: Predicted Protein and Rna Binding Sites in Rev Proteins of Hiv-1 and Eiav Agree with Experimental Data [Citation Graph (, )][DBLP]


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