Vasant G. Honavar

According to our database1, Vasant G. Honavar authored at least 221 papers between 1989 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2018
A user similarity-based Top-N recommendation approach for mobile in-application advertising.
Expert Syst. Appl., 2018

Compositional Stochastic Average Gradient for Machine Learning and Related Applications.
CoRR, 2018

PATENet: Pairwise Alignment of Time Evolving Networks.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018

Compositional Stochastic Average Gradient for Machine Learning and Related Applications.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Toward personalized sleep-wake prediction from actigraphy.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018

Microbiomarkers Discovery in Inflammatory Bowel Diseases using Network-Based Feature Selection.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2017
Advanced Cyberinfrastructure for Science, Engineering, and Public Policy.
CoRR, 2017

Advances in Artificial Intelligence Require Progress Across all of Computer Science.
CoRR, 2017

Big Data, Data Science, and Civil Rights.
CoRR, 2017

Template-based protein-protein docking exploiting pairwise interfacial residue restraints.
Briefings in Bioinformatics, 2017

Towards Conditional Independence Test for Relational Data.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Self-Discrepancy Conditional Independence Test.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Sleep/wake state prediction and sleep parameter estimation using unsupervised classification via clustering.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Representing and Reasoning with Qualitative Preferences: Tools and Applications
Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers, 2016

Temporal Causality Analysis of Sentiment Change in a Cancer Survivor Network.
IEEE Trans. Comput. Social Systems, 2016

Accelerating Science: A Computing Research Agenda.
CoRR, 2016

A Characterization of Markov Equivalence Classes of Relational Causal Models under Path Semantics.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Session Introduction.
Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016

Labeling actors in multi-view social networks by integrating information from within and across multiple views.
Proceedings of the 2016 IEEE International Conference on Big Data, 2016

On Learning Causal Models from Relational Data.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
CRISNER: A Practically Efficient Reasoner for Qualitative Preferences.
CoRR, 2015

Lifted Representation of Relational Causal Models Revisited: Implications for Reasoning and Structure Learning.
CoRR, 2015

Lifted Representation of Relational Causal Models Revisited: Implications for Reasoning and Structure Learning.
Proceedings of the UAI 2015 Workshop on Advances in Causal Inference co-located with the 31st Conference on Uncertainty in Artificial Intelligence (UAI 2015), 2015

Temporal Causality of Social Support in an Online Community for Cancer Survivors.
Proceedings of the Social Computing, Behavioral-Cultural Modeling, and Prediction, 2015

Discovery Informatics in Biological and Biomedical Sciences: Research Challenges and Opportunities.
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015

Learning classifiers from remote RDF data stores augmented with RDFS subclass hierarchies.
Proceedings of the 2015 IEEE International Conference on Big Data, 2015

2014
A Conceptual Framework for Secrecy-preserving Reasoning in Knowledge Bases.
ACM Trans. Comput. Log., 2014

Representing and Reasoning with Qualitative Preferences for Compositional Systems.
CoRR, 2014

Efficient Markov Network Structure Discovery Using Independence Tests.
CoRR, 2014

Labeling Actors in Social Networks Using a Heterogeneous Graph Kernel.
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2014

An analysis of conformational changes upon RNA-protein binding.
Proceedings of the 5th ACM Conference on Bioinformatics, 2014

2013
Causal Transportability of Experiments on Controllable Subsets of Variables: z-Transportability.
CoRR, 2013

Preference Based Service Adaptation Using Service Substitution.
Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence, 2013

Causal Transportability of Experiments on Controllable Subsets of Variables: z-Transportability.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Transportability from Multiple Environments with Limited Experiments.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Clustering remote RDF data using SPARQL update queries.
Proceedings of the Workshops Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

Learning Classifiers from Distributional Data.
Proceedings of the IEEE International Congress on Big Data, 2013

Learning Classifiers from Chains of Multiple Interlinked RDF Data Stores.
Proceedings of the IEEE International Congress on Big Data, 2013

On the utility of abstraction in labeling actors in social networks.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Verifying Preferential Equivalence and Subsumption via Model Checking.
Proceedings of the Algorithmic Decision Theory - Third International Conference, 2013

m-Transportability: Transportability of a Causal Effect from Multiple Environments.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
PSPACE Tableau Algorithms for Acyclic Modalized $\boldsymbol{\mathcal{ALC}}$.
J. Autom. Reasoning, 2012

B-cell Ligand Processing Pathways Detected by Large-scale Comparative Analysis.
Genomics, Proteomics & Bioinformatics, 2012

Protein-RNA interface residue prediction using machine learning: an assessment of the state of the art.
BMC Bioinformatics, 2012

Predicting protein-protein interface residues using local surface structural similarity.
BMC Bioinformatics, 2012

Model Checking of Qualitative Sensitivity Preferences to Minimize Credential Disclosure.
Proceedings of the Formal Aspects of Component Software, 9th International Symposium, 2012

Unambiguity Regularization for Unsupervised Learning of Probabilistic Grammars.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Learning predictive models from large distributed autonomous data sources.
Proceedings of the 2012 Conference on Intelligent Data Understanding, 2012

Predicting protective bacterial antigens using random forest classifiers.
Proceedings of the ACM International Conference on Bioinformatics, 2012

2011
Predicting MHC-II Binding Affinity Using Multiple Instance Regression.
IEEE/ACM Trans. Comput. Biology Bioinform., 2011

PRIDB: a protein-RNA interface database.
Nucleic Acids Research, 2011

Representing and Reasoning with Qualitative Preferences for Compositional Systems.
J. Artif. Intell. Res., 2011

Abstraction Super-structuring Normal Forms: Towards a Theory of Structural Induction
CoRR, 2011

HomPPI: A Class of Sequence Homology Based Protein-Protein Interface Prediction Methods.
BMC Bioinformatics, 2011

Predicting RNA-Protein Interactions Using Only Sequence Information.
BMC Bioinformatics, 2011

Learning Relational Bayesian Classifiers from RDF Data.
Proceedings of the Semantic Web - ISWC 2011, 2011

Exemplar-based Robust Coherent Biclustering.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

On the Utility of Curricula in Unsupervised Learning of Probabilistic Grammars.
Proceedings of the IJCAI 2011, 2011

Multi-Instance Multi-Label Learning for Image Classification with Large Vocabularies.
Proceedings of the British Machine Vision Conference, 2011

Abstraction Super-Structuring Normal Forms: Towards a Theory of Structural Induction.
Proceedings of the Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence, 2011

Improving protein-RNA interface prediction by combining sequence homology based method with a naive Bayes classifier: preliminary results.
Proceedings of the ACM International Conference on Bioinformatics, 2011

Ranking docked models of protein-protein complexes using predicted partner-specific protein-protein interfaces: a preliminary study.
Proceedings of the ACM International Conference on Bioinformatics, 2011

Identifying Sustainable Designs Using Preferences over Sustainability Attributes.
Proceedings of the Artificial Intelligence and Sustainable Design, 2011

Verifying Intervention Policies to Counter Infection Propagation over Networks: A Model Checking Approach.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Struct-NB: predicting protein-RNA binding sites using structural features.
IJDMB, 2010

Detection of gene orthology from gene co-expression and protein interaction networks.
BMC Bioinformatics, 2010

Semi-supervised prediction of protein subcellular localization using abstraction augmented Markov models.
BMC Bioinformatics, 2010

Failure Analysis for Composition of Web Services Represented as Labeled Transition Systems.
Proceedings of the Web Services and Formal Methods - 7th International Workshop, 2010

Learning in Presence of Ontology Mapping Errors.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010

Secrecy-Preserving Query Answering for Instance Checking in EL\mathcal{EL}.
Proceedings of the Web Reasoning and Rule Systems - Fourth International Conference, 2010

Identifying and Eliminating Inconsistencies in Mappings across Hierarchical Ontologies.
Proceedings of the On the Move to Meaningful Internet Systems, 2010

Efficient Dominance Testing for Unconditional Preferences.
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Twelfth International Conference, 2010

Automata-Based Verification of Security Requirements of Composite Web Services.
Proceedings of the IEEE 21st International Symposium on Software Reliability Engineering, 2010

Ontology-guided Extraction of Complex Nested Relationships.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

Abstraction Augmented Markov Models.
Proceedings of the ICDM 2010, 2010

Scalable, updatable predictive models for sequence data.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

A framework for developing epitope prediction tools.
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010

Semi-supervised sequence classification using abstraction augmented Markov models.
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010

Dominance Testing via Model Checking.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Package-Based Description Logics.
Proceedings of the Modular Ontologies: Concepts, 2009

Machine Learning in Computational Biology.
Proceedings of the Encyclopedia of Database Systems, 2009

Knowledge Acquisition from Semantically Heterogeneous Data.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Efficient Markov Network Structure Discovery Using Independence Tests.
J. Artif. Intell. Res., 2009

Mixture of experts models to exploit global sequence similarity on biomolecular sequence labeling.
BMC Bioinformatics, 2009

Aligning Biomolecular Networks Using Modular Graph Kernels.
Proceedings of the Algorithms in Bioinformatics, 9th International Workshop, 2009

Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
Proceedings of the SIAM International Conference on Data Mining, 2009

Learning Link-Based Naïve Bayes Classifiers from Ontology-Extended Distributed Data.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2009, 2009

Design and Implementation of a Query Planner for Data Integration.
Proceedings of the ICTAI 2009, 2009

Learning Link-Based Classifiers from Ontology-Extended Textual Data.
Proceedings of the ICTAI 2009, 2009

Combining Super-Structuring and Abstraction on Sequence Classification.
Proceedings of the ICDM 2009, 2009

MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio.
Proceedings of the Discovery Science, 12th International Conference, 2009

Multiple label prediction for image annotation with multiple Kernel correlation models.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009

Detection of Gene Orthology Based on Protein-Protein Interaction Networks.
Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009

Web Service Substitution Based on Preferences Over Non-functional Attributes.
Proceedings of the 2009 IEEE International Conference on Services Computing (SCC 2009), 2009

2008
Visual Methods for Examining SVM Classifiers.
Proceedings of the Visual Data Mining - Theory, Techniques and Tools for Visual Analytics, 2008

MOSCOE: an Approach for Composing Web Services through Iterative Reformulation of Functional Specifications.
International Journal on Artificial Intelligence Tools, 2008

Use of machine learning algorithms to classify binary protein sequences as highly-designable or poorly-designable.
BMC Bioinformatics, 2008

Federated ALCI: Preliminary Report.
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008

Learning Classifiers from Large Databases Using Statistical Queries.
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008

On Utilizing Qualitative Preferences in Web Service Composition: A CP-net Based Approach.
Proceedings of the 2008 IEEE Congress on Services, Part I, 2008

Striking Similarities in Diverse Telomerase Proteins Revealed by Combining Structure Prediction and Machine Learning Approaches.
Proceedings of the Biocomputing 2008, 2008

Attribute Value Taxonomy Generation through Matrix Based Adaptive Genetic Algorithm.
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

TCP-Compose* - A TCP-Net Based Algorithm for Efficient Composition of Web Services Using Qualitative Preferences.
Proceedings of the Service-Oriented Computing, 2008

Unsupervised Learning of Probabilistic Context-Free Grammar using Iterative Biclustering.
Proceedings of the Grammatical Inference: Algorithms and Applications, 2008

Complexes of on-line self assembly.
Proceedings of the 2008 IEEE International Conference on Electro/Information Technology, 2008

Predicting Protective Linear B-Cell Epitopes Using Evolutionary Information.
Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008

Using Global Sequence Similarity to Enhance Biological Sequence Labeling.
Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008

Towards Semantics-Enabled Distributed Infrastructure for Knowledge Acquisition.
Proceedings of the Semantic Scientific Knowledge Integration, 2008

On the Decidability of Role Mappings between Modular Ontologies.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Composing Web Services through Automatic Reformulation of Service Specifications.
Proceedings of the 2008 IEEE International Conference on Services Computing (SCC 2008), 2008

2007
Assembling Composite Web Services from Autonomous Components.
Proceedings of the Emerging Artificial Intelligence Applications in Computer Engineering, 2007

RNABindR: a server for analyzing and predicting RNA-binding sites in proteins.
Nucleic Acids Research, 2007

Software fault tree and coloured Petri net-based specification, design and implementation of agent-based intrusion detection systems.
IJICS, 2007

Glycosylation site prediction using ensembles of Support Vector Machine classifiers.
BMC Bioinformatics, 2007

Exploring inconsistencies in genome-wide protein function annotations: a machine learning approach.
BMC Bioinformatics, 2007

Reports on the 2006 AAAI Fall Symposia.
AI Magazine, 2007

Privacy-Preserving Reasoning on the SemanticWeb.
Proceedings of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence, 2007

On Context-Specific Substitutability of Web Services.
Proceedings of the 2007 IEEE International Conference on Web Services (ICWS 2007), 2007

Integrated Decision Algorithms for Auto-steered Electric Transmission System Asset Management.
Proceedings of the Computational Science, 2007

Analysis of Protein Protein Dimeric Interfaces.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2007

Assessing the Performance of Macromolecular Sequence Classifiers.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

A Semantic Importing Approach to Knowledge Reuse from Multiple Ontologies.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
Learning accurate and concise naïve Bayes classifiers from attribute value taxonomies and data.
Knowl. Inf. Syst., 2006

Towards the automatic generation of mobile agents for distributed intrusion detection system.
Journal of Systems and Software, 2006

Predicting DNA-binding sites of proteins from amino acid sequence.
BMC Bioinformatics, 2006

A Tableau-Based Federated Reasoning Algorithm for Modular Ontologies.
Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 2006

Divide and Conquer Semantic Web with Modular Ontologies - A Brief Review of Modular Ontology Language Formalisms.
Proceedings of the 1st International Workshop on Modular Ontologies, 2006

Package-Based Description Logics - Preliminary Results.
Proceedings of the Semantic Web - ISWC 2006, 5th International Semantic Web Conference, 2006

On the Semantics of Linking and Importing in Modular Ontologies.
Proceedings of the Semantic Web - ISWC 2006, 5th International Semantic Web Conference, 2006

Efficient Markov Network Structure Discovery using Independence Tests.
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

TRIPPER: Rule Learning Using Taxonomies.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

RNBL-MN: A Recursive Naive Bayes Learner for Sequence Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Adapt OWL as a Modular Ontology Language.
Proceedings of the OWLED*06 Workshop on OWL: Experiences and Directions, 2006

Independence, Decomposability and Functions which Take Values into an Abelian Group.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2006

Selecting and Composing Web Services through Iterative Reformulation of Functional Specifications.
Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 2006

A Service-Oriented Architecture for Electric Power Transmission System Asset Management.
Proceedings of the Service-Oriented Computing, 2006

Modeling Web Services by Iterative Reformulation of Functional and Non-functional Requirements.
Proceedings of the Service-Oriented Computing, 2006

MoSCoE: A Framework for Modeling Web Service Composition and Execution.
Proceedings of the 22nd International Conference on Data Engineering Workshops, 2006

Auto-steered Information-Decision Processes for Electric System Asset Management.
Proceedings of the Computational Science, 2006

Condition Data Aggregation with Application to Failure Rate Calculation of Power Transformers.
Proceedings of the 39th Hawaii International International Conference on Systems Science (HICSS-39 2006), 2006

Parallel Web Service Composition in MoSCoE: A Choreography-Based Approach.
Proceedings of the Fourth IEEE European Conference on Web Services (ECOWS 2006), 2006

A Tool for Collaborative Construction of Large Biological Ontologies.
Proceedings of the 17th International Workshop on Database and Expert Systems Applications (DEXA 2006), 2006

Learning Classifiers from Distributed, Ontology-Extended Data Sources.
Proceedings of the Data Warehousing and Knowledge Discovery, 8th International Conference, 2006

Towards Collaborative Environments for Ontology Construction and Sharing.
Proceedings of the 2006 International Symposium on Collaborative Technologies and Systems, 2006

Modular Ontologies - A Formal Investigation of Semantics and Expressivity.
Proceedings of the Semantic Web, 2006

Experimental Comparison of Feature Subset Selection Using GA and ACO Algorithm.
Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006

2005
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, 2005

A framework for semantic web services discovery.
Proceedings of the Seventh ACM International Workshop on Web Information and Data Management (WIDM 2005), 2005

Learning Classifiers Using Hierarchically Structured Class Taxonomies.
Proceedings of the Abstraction, 2005

Multinomial Event Model Based Abstraction for Sequence and Text Classification.
Proceedings of the Abstraction, 2005

Learning Classifiers for Misuse Detection Using a Bag of System Calls Representation.
Proceedings of the Intelligence and Security Informatics, 2005

Discriminatively Trained Markov Model for Sequence Classification.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Learning Ontology-Aware Classifiers.
Proceedings of the Discovery Science, 8th International Conference, 2005

Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information Sources.
Proceedings of the Discovery Science, 8th International Conference, 2005

Information Integration and Knowledge Acquisition from Semantically Heterogeneous Biological Data Sources.
Proceedings of the Data Integration in the Life Sciences, Second InternationalWorkshop, 2005

Information Integration from Semantically Heterogeneous Biological Data Sources.
Proceedings of the 16th International Workshop on Database and Expert Systems Applications (DEXA 2005), 2005

Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information Sources.
Proceedings of the Algorithmic Learning Theory, 16th International Conference, 2005

Learning Support Vector Machines from Distributed Data Sources.
Proceedings of the Proceedings, 2005

2004
Identification of interface residues in protease-inhibitor and antigen-antibody complexes: a support vector machine approach.
Neural Computing and Applications, 2004

A Framework for Learning from Distributed Data Using Sufficient Statistics and Its Application to Learning Decision Trees.
Int. J. Hybrid Intell. Syst., 2004

Predicting binding sites of hydrolase-inhibitor complexes by combining several methods.
BMC Bioinformatics, 2004

Ontology-Extended Component-Based Workflows : A Framework for Constructing Complex Workflows from Semantically Heterogeneous Software Components.
Proceedings of the Semantic Web and Databases, Second International Workshop, 2004

A two-stage classifier for identification of protein-protein interface residues.
Proceedings of the Proceedings Twelfth International Conference on Intelligent Systems for Molecular Biology/Third European Conference on Computational Biology 2004, 2004

Integration of Domain-Specific and Domain-Independent Ontologies for Colonoscopy Video Database Annotation.
Proceedings of the International Conference on Information and Knowledge Engineering. IKE'04, 2004

AVT-NBL: An Algorithm for Learning Compact and Accurate Naïve Bayes Classifiers from Attribute Value Taxonomies and Data.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Generation of Attribute Value Taxonomies from Data for Data-Driven Construction of Accurate and Compact Classifiers.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Collaborative Ontology Building with Wiki@nt - A Multi-agent Based Ontology Building Environment.
Proceedings of the EON 2004, 2004

Generating AVTs Using GA for Learning Decision Tree Classifiers with Missing Data.
Proceedings of the Discovery Science, 7th International Conference, 2004

Learning Classifiers from Semantically Heterogeneous Data.
Proceedings of the On the Move to Meaningful Internet Systems 2004: CoopIS, 2004

2003
Lightweight agents for intrusion detection.
Journal of Systems and Software, 2003

Automated data-driven discovery of motif-based protein function classifiers.
Inf. Sci., 2003

Learning Decision Trees form Distributed Heterogeneous Autonomous Data.
Proceedings of the MAICS 2003, 2003

Information Extraction and Integration from Heterogeneous, Distributed, Autonomous Information Sources : A Federated Ontology-Driven Query-Centric Approach.
Proceedings of the 2003 IEEE International Conference on Information Reuse and Integration, 2003

A Multi-relational Decision Tree Learning Algorithm - Implementation and Experiments.
Proceedings of the Inductive Logic Programming: 13th International Conference, 2003

Statistics Gathering for Learning from Distributed, Heterogeneous and Autonomous Data Sources.
Proceedings of IJCAI-03 Workshop on Information Integration on the Web (IIWeb-03), 2003

Learning from Attribute Value Taxonomies and Partially Specified Instances.
Proceedings of the Machine Learning, 2003

Towards Simple, Easy-to-Understand, yet Accurate Classifiers.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2002
A Software Fault Tree Approach to Requirements Analysis of an Intrusion Detection System.
Requir. Eng., 2002

Automated discovery of concise predictive rules for intrusion detection.
Journal of Systems and Software, 2002

Ontology-Driven Induction of Decision Trees at Multiple Levels of Abstraction.
Proceedings of the Abstraction, 2002

Data-Driven Discovery of Protein Function Classifiers: Decision Trees Based on MEME Motifs outperform PROSITE Patterns and Profiles on Peptidase Families.
Proceedings of the 6th Joint Conference on Information Science, 2002

Discovering Protein Function Classification Rules from Reduced Alphabet Representations of Protein Sequences.
Proceedings of the 6th Joint Conference on Information Science, 2002

2001
Learn++: an incremental learning algorithm for supervised neural networks.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2001

Learning DFA from Simple Examples.
Machine Learning, 2001

Introduction.
Machine Learning, 2001

SMART mobile agent facility.
Journal of Systems and Software, 2001

Autonomous agents for coordinated distributed parameterized heuristic routing in large dynamic communication networks.
Journal of Systems and Software, 2001

Temporal Boolean Network Models of Genetic Networks and their Inference from Gene Expression Time Series.
Complex Systems, 2001

Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources.
Proceedings of the Emergent Neural Computational Architectures Based on Neuroscience, 2001

Gaining insights into support vector machine pattern classifiers using projection-based tour methods.
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

Detection and identification of odorants using an electronic nose.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
Constructive neural-network learning algorithms for pattern classification.
IEEE Trans. Neural Netw. Learning Syst., 2000

An empirical comparison of the performance so single-layer algorithms for training threshold logic units.
Neural Parallel & Scientific Comp., 2000

A Negotiation Model in Agent-mediated Electronic Commerce.
Proceedings of the 2000 International Symposium on Multimedia Software Engineering, 2000

Supporting organizational knowledge management with agents.
Proceedings of the Challenges of Information Technology Management in the 21st Century, 2000

On the Relationship between Models for Learning in Helpful Environments.
Proceedings of the Grammatical Inference: Algorithms and Applications, 2000

LEARN++: an incremental learning algorithm for multilayer perceptron networks.
Proceedings of the IEEE International Conference on Acoustics, 2000

Incremental and Distributed Learning with Support Vector Machines.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1999
A neural-network architecture for syntax analysis.
IEEE Trans. Neural Networks, 1999

DistAl: An inter-pattern distance-based constructive learning algorithm.
Intell. Data Anal., 1999

Integration of cognitive systems across disciplinary boundaries.
Cognitive Systems Research, 1999

Spatial Learning and Localization in Rodents: A Computational Model of the Hippocampus and its Implications for Mobile Robots.
Adaptive Behaviour, 1999

Data-driven theory refinement algorithms for bioinformatics.
Proceedings of the International Joint Conference Neural Networks, 1999

Data-Driven Theory Refinement Using KBDistAl.
Proceedings of the Advances in Intelligent Data Analysis, Third International Symposium, 1999

Simple DFA are Polynomially Probably Exactly Learnable from Simple Examples.
Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

Feature Selection Using a Genetic Algorithm for Intrusion Detection.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999

1998
An object oriented approach to simulating large communication networks.
Journal of Systems and Software, 1998

Feature Subset Selection Using a Genetic Algorithm.
IEEE Intelligent Systems, 1998

A Polynominal Time Incremental Algorithm for Learning DFA.
Proceedings of the Grammatical Inference, 4th International Colloquium, 1998

1997
Quo Vadis - A Framework for Intelligent Routing in Large Communication Networks.
Journal of Systems and Software, 1997

Learning DFA from Simple Examples.
Proceedings of the Algorithmic Learning Theory, 8th International Conference, 1997

1996
An incremental interactive algorithm for grammar inference.
Proceedings of the Grammatical Inference: Learning Syntax from Sentences, 1996

Constructive Neural Network Learning Algorithms.
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

An Incremental Interactive Algorithm for Regular Grammar Inference.
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

Analysis of Utility-Theoretic Heuristics for Intelligent Adaptive Network Routing.
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

Experiments in Evolutionary Synthesis of Robotic Neurocontrollers.
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

1995
A Neural Architecture for Content as well as Address-based Storage and Recall: Theory and Applications.
Connect. Sci., 1995

1993
Generative learning structures and processes for generalized connectionist networks.
Inf. Sci., 1993

1992
Neural Network Design and the Complexity of Learning (Book Review).
Machine Learning, 1992

1990
Coordination and control structures and processes: possibilities for connectionist networks (CN).
J. Exp. Theor. Artif. Intell., 1990

1989
Generation, Local Receptive Fields and Global Convergence Improve Perceptual Learning in Connectionist Networks.
Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989


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