Vasant G. Honavar
Orcid: 0000-0001-5399-3489Affiliations:
- Pennsylvania State University, University Park, Pennsylvania, USA
- Iowa State University, Ames, Iowa, USA
According to our database1,
Vasant G. Honavar
authored at least 262 papers
between 1989 and 2024.
Collaborative distances:
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Bibliography
2024
Regression with Large Language Models for Materials and Molecular Property Prediction.
CoRR, 2024
3M-Diffusion: Latent Multi-Modal Diffusion for Text-Guided Generation of Molecular Graphs.
CoRR, 2024
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Causal Learning and Reasoning, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Forecasting User Interests Through Topic Tag Predictions in Online Health Communities.
IEEE J. Biomed. Health Informatics, July, 2023
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
2022
IEEE Trans. Inf. Forensics Secur., 2022
2021
Zooming Into the Darknet: Characterizing Internet Background Radiation and its Structural Changes.
CoRR, 2021
SrVARM: State Regularized Vector Autoregressive Model for Joint Learning of Hidden State Transitions and State-Dependent Inter-Variable Dependencies from Multi-variate Time Series.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns to Attend to Important Variables As Well As Time Intervals.
Proceedings of the WSDM '21, 2021
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021
Proceedings of the 28th Annual Network and Distributed System Security Symposium, 2021
Shedding light into the darknet: scanning characterization and detection of temporal changes.
Proceedings of the CoNEXT '21: The 17th International Conference on emerging Networking EXperiments and Technologies, Virtual Event, Munich, Germany, December 7, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
iScore: An MPI supported software for ranking protein-protein docking models based on a random walk graph kernel and support vector machines.
SoftwareX, 2020
The Virtual Data Collaboratory: A Regional Cyberinfrastructure for Collaborative Data-Driven Research.
Comput. Sci. Eng., 2020
Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time Intervals.
CoRR, 2020
A Causal Lens for Peeking into Black Box Predictive Models: Predictive Model Interpretation via Causal Attribution.
CoRR, 2020
iScore: a novel graph kernel-based function for scoring protein-protein docking models.
Bioinform., 2020
Adversarial Attacks on Graph Neural Networks via Node Injections: A Hierarchical Reinforcement Learning Approach.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Dynamical Gaussian Process Latent Variable Model for Representation Learning from Longitudinal Data.
Proceedings of the FODS '20: ACM-IMS Foundations of Data Science Conference, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
CoRR, 2019
Proceedings of the World Wide Web Conference, 2019
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018
A user similarity-based Top-<i>N</i> recommendation approach for mobile in-application advertising.
Expert Syst. Appl., 2018
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
Multi-view Network Embedding via Graph Factorization Clustering and Co-regularized Multi-view Agreement.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
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
CoRR, 2017
Template-based protein-protein docking exploiting pairwise interfacial residue restraints.
Briefings Bioinform., 2017
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017
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
Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers, ISBN: 978-3-031-01573-1, 2016
IEEE Trans. Comput. Soc. Syst., 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
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 (IEEE BigData 2016), 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
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
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 (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015
2014
ACM Trans. Comput. Log., 2014
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2014
Proceedings of the 5th ACM Conference on Bioinformatics, 2014
2013
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
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
Proceedings of the Workshops Proceedings of the 29th IEEE International Conference on Data Engineering, 2013
Proceedings of the IEEE International Congress on Big Data, 2013
Proceedings of the IEEE International Congress on Big Data, 2013
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013
Proceedings of the Algorithmic Decision Theory - Third International Conference, 2013
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013
2012
J. Autom. Reason., 2012
Genom. Proteom. Bioinform., 2012
Protein-RNA interface residue prediction using machine learning: an assessment of the state of the art.
BMC Bioinform., 2012
Predicting protein-protein interface residues using local surface structural similarity.
BMC Bioinform., 2012
Model Checking of Qualitative Sensitivity Preferences to Minimize Credential Disclosure.
Proceedings of the Formal Aspects of Component Software, 9th International Symposium, 2012
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012
Proceedings of the 2012 Conference on Intelligent Data Understanding, 2012
Proceedings of the ACM International Conference on Bioinformatics, 2012
2011
IEEE ACM Trans. Comput. Biol. Bioinform., 2011
J. Artif. Intell. Res., 2011
HomPPI: A Class of Sequence Homology Based Protein-Protein Interface Prediction Methods.
BMC Bioinform., 2011
BMC Bioinform., 2011
Proceedings of the Semantic Web - ISWC 2011, 2011
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011
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
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
Int. J. Data Min. Bioinform., 2010
Detection of gene orthology from gene co-expression and protein interaction networks.
BMC Bioinform., 2010
Semi-supervised prediction of protein subcellular localization using abstraction augmented Markov models.
BMC Bioinform., 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
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010
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
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Twelfth International Conference, 2010
Proceedings of the IEEE 21st International Symposium on Software Reliability Engineering, 2010
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
2009
Proceedings of the Modular Ontologies: Concepts, 2009
Proceedings of the Encyclopedia of Database Systems, 2009
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009
J. Artif. Intell. Res., 2009
Mixture of experts models to exploit global sequence similarity on biomolecular sequence labeling.
BMC Bioinform., 2009
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
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2009, 2009
Proceedings of the ICTAI 2009, 2009
Proceedings of the ICTAI 2009, 2009
Proceedings of the ICDM 2009, 2009
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
Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009
Proceedings of the 2009 IEEE International Conference on Services Computing (SCC 2009), 2009
2008
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.
Int. J. Artif. Intell. Tools, 2008
Use of machine learning algorithms to classify binary protein sequences as highly-designable or poorly-designable.
BMC Bioinform., 2008
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008
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
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
Proceedings of the 2008 IEEE International Conference on Electro/Information Technology, 2008
Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008
Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008
Proceedings of the Semantic Scientific Knowledge Integration, 2008
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008
Proceedings of the 2008 IEEE International Conference on Services Computing (SCC 2008), 2008
Toward Semantics-Enabled Infrastructure for Knowledge Acquisition from Distributed Data.
Proceedings of the Next Generation of Data Mining., 2008
2007
Proceedings of the Emerging Artificial Intelligence Applications in Computer Engineering, 2007
Nucleic Acids Res., 2007
Software fault tree and coloured Petri net-based specification, design and implementation of agent-based intrusion detection systems.
Int. J. Inf. Comput. Secur., 2007
BMC Bioinform., 2007
Exploring inconsistencies in genome-wide protein function annotations: a machine learning approach.
BMC Bioinform., 2007
Proceedings of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence, 2007
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
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2007
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007
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.
J. Syst. Softw., 2006
BMC Bioinform., 2006
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
Proceedings of the Semantic Web - ISWC 2006, 5th International Semantic Web Conference, 2006
Proceedings of the Semantic Web - ISWC 2006, 5th International Semantic Web Conference, 2006
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006
Proceedings of the OWLED*06 Workshop on OWL: Experiences and Directions, 2006
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
Proceedings of the 22nd International Conference on Data Engineering Workshops, 2006
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
Proceedings of the Fourth IEEE European Conference on Web Services (ECOWS 2006), 2006
Proceedings of the 17th International Workshop on Database and Expert Systems Applications (DEXA 2006), 2006
Proceedings of the Data Warehousing and Knowledge Discovery, 8th International Conference, 2006
Proceedings of the 2006 International Symposium on Collaborative Technologies and Systems, 2006
Proceedings of the Semantic Web, 2006
Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006
A General Strategy for Knowledge Acquisition from Semantically Heterogeneous Data Sources.
Proceedings of the Semantic Web for Collaborative Knowledge Acquisition, 2006
Proceedings of the Semantic Web for Collaborative Knowledge Acquisition, 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
Proceedings of the Seventh ACM International Workshop on Web Information and Data Management (WIDM 2005), 2005
Proceedings of the Abstraction, 2005
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
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005
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
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
Proceedings of the Proceedings, 2005
2004
Identification of interface residues in protease-inhibitor and antigen-antibody complexes: a support vector machine approach.
Neural Comput. Appl., 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 Bioinform., 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
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
Proceedings of the Discovery Science, 7th International Conference, 2004
Proceedings of the On the Move to Meaningful Internet Systems 2004: CoopIS, 2004
2003
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
Proceedings of the Machine Learning, 2003
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
J. Syst. Softw., 2002
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
IEEE Trans. Syst. Man Cybern. Part C, 2001
Autonomous agents for coordinated distributed parameterized heuristic routing in large dynamic communication networks.
J. Syst. Softw., 2001
Temporal Boolean Network Models of Genetic Networks and their Inference from Gene Expression Time Series.
Complex Syst., 2001
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
Proceedings of the IEEE International Conference on Acoustics, 2001
2000
IEEE Trans. Neural Networks Learn. Syst., 2000
An empirical comparison of the performance so single-layer algorithms for training threshold logic units.
Neural Parallel Sci. Comput., 2000
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
Proceedings of the Grammatical Inference: Algorithms and Applications, 2000
Proceedings of the IEEE International Conference on Acoustics, 2000
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000
1999
Intell. Data Anal., 1999
Cogn. Syst. Res., 1999
Spatial Learning and Localization in Rodents: A Computational Model of the Hippocampus and its Implications for Mobile Robots.
Adapt. Behav., 1999
Proceedings of the International Joint Conference Neural Networks, 1999
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
J. Syst. Softw., 1998
Proceedings of the Grammatical Inference, 4th International Colloquium, 1998
1997
J. Syst. Softw., 1997
Proceedings of International Conference on Neural Networks (ICNN'97), 1997
MUpstart-a constructive neural network learning algorithm for multi-category pattern classification.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997
1996
Proceedings of the Grammatical Inference: Learning Syntax from Sentences, 1996
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996
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
Inf. Sci., 1993
1992
Mach. Learn., 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