Vasant Honavar

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Coordination of distributed knowledge networks using contract net protocol

Jihoon Yang, Vasant Honavar, R. Havaldar, 1998, 1998 IEEE Information Technology Conference, Information Environment for the Future (Cat. No.98EX228).

Learning from Attribute Value Taxonomies and Partially Specified Instances

Vasant Honavar, Jun Zhang, Vasant G Honavar, 2003, International Conference on Machine Learning.

A Semantic Importing Approach to Reusing Knowledge from Multiple Autonomous Ontology Modules

Vasant Honavar, Jie Bao, Giora Slutzki, 2007 .

Symbolic Artificial Intelligence and Numeric Artificial Neural Networks: Towards A Resolution of the Dichotomy

Vasant Honavar, Vasant G Honavar, 1995 .

Identifying Sustainable Designs Using Preferences over Sustainability Attributes

Vasant Honavar, Ganesh Ram Santhanam, Samik Basu, 2011, AAAI Spring Symposium: Artificial Intelligence and Sustainable Design.

An Efficient Interactive Algorithm for Regular Language Learning

Rajesh Parekh, Vasant Honavar, Vasant G Honavar, 1995 .

Evolutionary and Neural Synthesis of Intelligent Agents

Vasant Honavar, Mukesh Patel, Karthik Balakrishnan, 2001 .

An analysis of conformational changes upon RNA-protein binding

Vasant Honavar, Robert L. Jernigan, Kannan Sankar, 2014, BCB.

PROGRAMMING IS WRITING: WHY PROGRAMS NEED TO BE CAREFULLY READ

Albert L. Baker, Vasant Honavar, Steven M. LaValle, 1998 .

Toward a Theoretical Framework for Analysis and Synthesis of Agents that Learn from Distributed Dyna

Vasant Honavar, Doina Caragea, Adrian Silvescu, 2001 .

Multi-Level Visualization

Cesare Pautasso, Umberto Straccia, Heiko Schuldt, 2009, Encyclopedia of Database Systems.

Constructive learning: inducing grammars and neural networks

Rajesh Parekh, Vasant Honavar, Vasant G Honavar, 1998 .

Ontology elicitation: Structural Abstraction = Structuring + Abstraction + Multiple Ontologies

Vasant Honavar, Adrian Silvescu, Vasant G Honavar, 2003 .

Analysis of Utility-Theoretic Netw nt elligent A tive

Vasant Honavar, Armin R. Miklery, Vasant G Honavar, 1996 .

The Promise and Potential of Big Data: A Case for Discovery Informatics

Vasant Honavar, Vasant G Honavar, 2014 .

Collaborative Ontology Building with Wiki@nt

Vasant Honavar, Jie Bao, Vasant G Honavar, 2004 .

Data-Driven Theory Refinement Using KBDistAl

Jihoon Yang, Rajesh Parekh, Vasant Honavar, 1999, IDA.

Learning Decision Tree Classifiers When Classes are not Mutually Exclusive

Vasant Honavar, Doina Caragea, Adrian Silvescu, 2002 .

MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio

Vasant Honavar, Yasser El-Manzalawy, Vasant G Honavar, 2009, Discovery Science.

Ontology-guided Extraction of Complex Nested Relationships

Vasant Honavar, Sushain Pandit, 2010, 2010 22nd IEEE International Conference on Tools with Artificial Intelligence.

Towards Conditional Independence Test for Relational Data

Vasant Honavar, Sanghack Lee, Sanghack Lee, 2017, UAI.

Ontology Language Extensions to Support Localized Semantics, Modular Reasoning, and Collaborative Ontology Design and Ontology Reuse

Vasant Honavar, Jie Bao, Vasant G Honavar, 2004 .

Performance of HomPRIP on RB198.

Vasant Honavar, Rasna R. Walia, Drena Dobbs, 2014 .

A Neural Memory Architecture for Content As Well As Address-Based Storage & Recall: Theory and Applications

Vasant Honavar, Chun-Hsien Chen, Vasant G Honavar, 1995 .

Labeling Actors in Social Networks Using a Heterogeneous Graph Kernel

Vasant Honavar, Ngot Bui, Vasant G Honavar, 2014, SBP.

A Graphical Model for Shallow Parsing Sequences

Vasant Honavar, Adrian Silvescu, 2004 .

MoSCoE: A Framework for Modeling Web Service Composition and Execution

Vasant Honavar, Samik Basu, Jyotishman Pathak, 2006, 22nd International Conference on Data Engineering Workshops (ICDEW'06).

Aurally Informed Performance: Integrating Machine Listening and Auditory Presentation in Robotic Systems, Papers from the 2006 AAAI Fall Symposium, Washington, DC, USA, October 13-15, 2006

Vasant Honavar, Alexander I. Rudnicky, Gregory S. Hornby, 2006, AAAI Fall Symposium: Aurally Informed Performance.

Machine learning: Principles and applications

Vasant Honavar, 1999 .

Learn-ing Classi ers from Semantically Heterogeneous Data Sources

Vasant Honavar, Doina Caragea, Jyotishman Pathak, 2004 .

Predicting DNA-binding sites of proteins from amino acid sequence

Vasant Honavar, Robert L. Jernigan, Drena Dobbs, 2006, BMC Bioinformatics.

PRIDB: a protein–RNA interface database

Vasant Honavar, Rasna R. Walia, Drena Dobbs, 2010, Nucleic Acids Res..

Learning classifiers from linked data

Vasant Honavar, Harris T. Lin, Vasant G Honavar, 2013 .

Combined Biological Metaphors

Vasant Honavar, Mukesh Patel, Karthik Balakrishnan, 2001 .

iScore: An MPI supported software for ranking protein–protein docking models based on a random walk graph kernel and support vector machines

Vasant Honavar, Li Xue, Alexandre M. J. J. Bonvin, 2019, bioRxiv.

Divide and Conquer Semantic Web with Modular Ontologies - A Brief Review of Modular Ontology Language Formalisms

Vasant Honavar, Jie Bao, Vasant G Honavar, 2006, WoMO.

Adaptive learning rate for increasing learning speed in backpropagation networks

Vasant Honavar, Jayathi Janakiraman, Vasant G Honavar, 1993, Defense, Security, and Sensing.

Modeling Web Services by Iterative Reformulation of Functional and Non-functional Requirements

Vasant Honavar, Samik Basu, Jyotishman Pathak, 2006, ICSOC.

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

Xia Wang, Vasant Honavar, Johnny S. Wong, 2007, Int. J. Inf. Comput. Secur..

Boundaries of Safe, Twilight, and Dark Zones used by HomPRIP.

Vasant Honavar, Rasna R. Walia, Drena Dobbs, 2014 .

Structural induction: towards automatic ontology elicitation

Vasant Honavar, Adrian Silvescu, Vasant G Honavar, 2008 .

Exemplar-based Robust Coherent Biclustering

Kewei Tu, Vasant Honavar, Dingyi Han, 2011, SDM.

Advances in Artificial Intelligence Require Progress Across all of Computer Science pdf

Gregory D. Hager, Vasant Honavar, Eric Horvitz, 2017, ArXiv.

Secrecy-Preserving Reasoning Over Entailment Systems: Theory and Applications

Vasant Honavar, Giora Slutzki, George Voutsadakis, 2008 .

Quo Vadis - Adaptive Heuristics for Routing in Large Communication Networks

Vasant Honavar, Johnny Wong, Armin R. Mikler, 1995 .

Learning in open-ended environments: Distributed learning and incremental learning

Vasant Honavar, Doina Caragea, Adrian Silvescu, 2001 .

Analysis of Utility-Theoretic Heuristics for Intelligent Adaptive Network Routing

Vasant Honavar, Armin R. Mikler, Johnny S. Wong, 1996, AAAI/IAAI, Vol. 1.

MUpstart-a constructive neural network learning algorithm for multi-category pattern classification

Jihoon Yang, Rajesh Parekh, Vasant Honavar, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

LMLFM: Longitudinal Multi-Level Factorization Machine pdf

Vasant Honavar, Yiwei Sun, Junjie Liang, 2020, AAAI.

Labeling actors in multi-view social networks by integrating information from within and across multiple views

Vasant Honavar, Ngot Bui, Thanh Le, 2016, 2016 IEEE International Conference on Big Data (Big Data).

PATENet: Pairwise Alignment of Time Evolving Networks

Vasant Honavar, Shlomit Gur, Vasant G Honavar, 2018, MLDM.

A Semantic Importing Approach to Knowledge Reuse from Multiple Ontologies

Vasant Honavar, Giora Slutzki, Jie Bao, 2007, AAAI.

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

Vasant Honavar, York Sure, Oliver Kutz, 2007, WoMO.

HomPPI: a class of sequence homology based protein-protein interface prediction methods

Vasant Honavar, Drena Dobbs, Li C. Xue, 2011, BMC Bioinformatics.

Unambiguity Regularization for Unsupervised Learning of Probabilistic Grammars

Kewei Tu, Vasant Honavar, Vasant G Honavar, 2012, EMNLP.

Abstraction, aggregation and recursion for generating accurate and simple classifiers

Vasant Honavar, Dae-Ki Kang, Vasant G Honavar, 2006 .

Mixed Evidence

Cesare Pautasso, Umberto Straccia, Heiko Schuldt, 2009, Encyclopedia of Database Systems.

Mobile Intelligent Agents for Document Classification and Retrieval: A Machine Learning Approach

Vasant Honavar, Jihoon Yang, Prashant Pai, 1998 .

A Tool for Collaborative Construction of Large Biological Ontologies

Vasant Honavar, Doina Caragea, Jie Bao, 2006, 17th International Workshop on Database and Expert Systems Applications (DEXA'06).

Supporting organizational knowledge management with agents

Vasant Honavar, Johnny S. Wong, Sree Nilakanta, 2000, IRMA Conference.

A Framework for Learning from Distributed Data Using Sufficient Statistics and Its Application to Learning Decision Trees

Vasant Honavar, Doina Caragea, Adrian Silvescu, 2004, Int. J. Hybrid Intell. Syst..

A Simple Randomized Quantization Algorithm for Neural Network Pattern Classifiers

Vasant Honavar, Jihoon Yang, 1996 .

Learning Classifiers for Misuse Detection Using a Bag of System Calls Representation

Vasant Honavar, Dae-Ki Kang, Doug Fuller, 2005, ISI.

Constructive Neural Network Learning Algorithms for Multi-Category Real-Valued Pattern Classification

Rajesh Parekh, Vasant Honavar, Jihoon Yang, 1997 .

Optimization of Classifiers Using Genetic Algorithms

Vasant Honavar, Mukesh Patel, Karthik Balakrishnan, 2001 .

Simple DFA are Polynomially Probably Exactly Learnable from Simple Examples

Rajesh Parekh, Vasant Honavar, 1999, ICML.

Evolving Heterogeneous Neural Agents by Local Selection

Vasant Honavar, Mukesh Patel, Karthik Balakrishnan, 2001 .

Evolutionary Synthesis of Bayesian Networks for Optimization

Vasant Honavar, Mukesh Patel, Karthik Balakrishnan, 2001 .

Collaborative Package-based Ontology Building and Usage

Vasant Honavar, Jie Bao, Vasant G Honavar, 2005 .

Mixture of experts models to exploit global sequence similarity on biomolecular sequence labeling

Vasant Honavar, Cornelia Caragea, Jivko Sinapov, 2009, BMC Bioinformatics.

Assembling Composite Web Services from Autonomous Components

Vasant Honavar, Samik Basu, Jyotishman Pathak, 2007, Emerging Artificial Intelligence Applications in Computer Engineering.

An Incremental Interactive Algorithm for Regular Grammar Inference

Rajesh Parekh, Vasant Honavar, Vasant G Honavar, 1996, AAAI/IAAI, Vol. 2.

RNBL-MN: A Recursive Naive Bayes Learner for Sequence Classification

Vasant Honavar, Dae-Ki Kang, Adrian Silvescu, 2006, PAKDD.

Towards the automatic generation of mobile agents for distributed intrusion detection system

Vasant Honavar, Johnny S. Wong, Robyn R. Lutz, 2006, J. Syst. Softw..

AVT-NBL: an algorithm for learning compact and accurate naive Bayes classifiers from attribute value taxonomies and data

Vasant Honavar, Jun Zhang, Vasant G Honavar, 2004, Fourth IEEE International Conference on Data Mining (ICDM'04).

Constructive Neural Network Learning Algorithms

Jihoon Yang, Rajesh Parekh, Vasant Honavar, 1996, AAAI/IAAI, Vol. 2.

TCP-Compose* - A TCP-Net Based Algorithm for Efficient Composition of Web Services Using Qualitative Preferences

Vasant Honavar, Ganesh Ram Santhanam, Samik Basu, 2008, ICSOC.

Minimum Intervention Cover of a Causal Graph

Vasant Honavar, Arnab Bhattacharyya, Saravanan Kandasamy, 2019, AAAI.

Condition Data Aggregation with Application to Failure Rate Calculation of Power Transformers

Vasant Honavar, Yong Jiang, James D. McCalley, 2006, Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06).

Unsupervised learning of probabilistic grammars

Kewei Tu, Vasant Honavar, Vasant G Honavar, 2012 .

A framework for semantic web services discovery

Vasant Honavar, Doina Caragea, Jyotishman Pathak, 2005, WIDM '05.

FastRNABindR: Fast and Accurate Prediction of Protein-RNA Interface Residues

Vasant Honavar, Yasser EL-Manzalawy, Qutaibah Malluhi, 2016, PloS one.

Biologically inspired computational structures and processes for autonomous agents and robots

Vasant Honavar, Karthik Balakrishnan, Vasant G Honavar, 1998 .

Generative learning structures and processes for generalized connectionist networks

Vasant Honavar, Leonard Uhr, Vasant G Honavar, 1993, Inf. Sci..

Distributed knowledge networks

Vasant Honavar, Leslie Miller, Johnny Wong, 1998, 1998 IEEE Information Technology Conference, Information Environment for the Future (Cat. No.98EX228).

A Service-Oriented Architecture for Electric Power Transmission System Asset Management

Vasant Honavar, Yuan Li, James D. McCalley, 2006, ICSOC Workshops.

Recognition Cones: A neuronal architecture for perception and learning

Vasant Honavar, Leonard M. Uhr, 1987 .

A neural-network architecture for syntax analysis

Vasant Honavar, Chun-Hsien Chen, Vasant G Honavar, 1999, IEEE Trans. Neural Networks.

Discovering Protein Function Classification Rules from Reduced Alphabet Representations of Protein Sequences

Vasant Honavar, Drena Dobbs, Carson M. Andorf, 2002, JCIS.

Visual Methods for Examining Support Vector Machine Results, with Applications to Gene Expression Data Analysis

Vasant Honavar, Doina Caragea, Dianne Cook, 2005 .

Exploring inconsistencies in genome-wide protein function annotations: a machine learning approach

Vasant Honavar, Drena Dobbs, Carson M. Andorf, 2007, BMC Bioinformatics.

Predicting RNA-Protein Interactions Using Only Sequence Information

Vasant Honavar, Drena Dobbs, Usha Muppirala, 2011, BMC Bioinformatics.

Model Checking of Qualitative Sensitivity Preferences to Minimize Credential Disclosure

Vasant Honavar, Zachary J. Oster, Ganesh Ram Santhanam, 2012, FACS.

Predicting binding sites of hydrolase-inhibitor complexes by combining several methods

Vasant Honavar, Andrzej Kloczkowski, Robert L. Jernigan, 2004, BMC Bioinformatics.

Compositional Stochastic Average Gradient for Machine Learning and Related Applications pdf

Vasant Honavar, Yasser El-Manzalawy, Tsung-Yu Hsieh, 2018, IDEAL.

Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources

Vasant Honavar, Doina Caragea, Adrian Silvescu, 2001, Emergent Neural Computational Architectures Based on Neuroscience.

BioNetwork Bench: Database and Software for Storage, Query, and Analysis of Gene and Protein Networks

Vasant Honavar, M. Heather West Greenlee, Fadi Towfic, 2012, Bioinformatics and Biology Insights.

Identifying and Eliminating Inconsistencies in Mappings across Hierarchical Ontologies

Vasant Honavar, Neeraj Koul, Bhavesh Sanghvi, 2010, OTM Conferences.

Use of machine learning algorithms to classify binary protein sequences as highly-designable or poorly-designable

Vasant Honavar, Andrzej Kloczkowski, Robert L. Jernigan, 2008, BMC Bioinformatics.

Clustering remote RDF data using SPARQL update queries

Vasant Honavar, Harris T. Lin, Letao Qi, 2013, 2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW).

On the Utility of Curricula in Unsupervised Learning of Probabilistic Grammars

Kewei Tu, Vasant Honavar, Vasant G Honavar, 2011, IJCAI.

Generation of Attribute Value Taxonomies from Data and Their Use in Data-Driven Construction of Accurate and Compact Naive Bayes Classifiers

Vasant Honavar, Jun Zhang, Dae-Ki Kang, 2004 .

Template-based protein–protein docking exploiting pairwise interfacial residue restraints

Vasant Honavar, Drena Dobbs, Alexandre M. J. J. Bonvin, 2016, Briefings Bioinform..

Learning Naive Bayes Classifiers From Attribute Value Taxonomies and Partially Specified Data

Vasant Honavar, Jun Zhang, Vasant G Honavar, 2004 .

Abstraction Augmented Markov Models

Vasant Honavar, Cornelia Caragea, Doina Caragea, 2010, 2010 IEEE International Conference on Data Mining.

MICCLLR: A Generalized Multiple-Instance Learning Algorithm Using Class Conditional Log Likelihood Ratio

Vasant Honavar, Yasser EL-Manzalawy, 2007 .

A kernel conditional independence test for relational data

Vasant Honavar, Sanghack Lee, Sanghack Lee, 2017, UAI 2017.

Associative Memory Content-ADDRESSED Memory Fault-TOLERANCE Multiple Associative Recall Adjustable-PRECISION Memory Binary Mappings Information Retrieval Address-BASED Memory High-CAPACITY Memory Interference

Vasant Honavar, Chen Chun-Hsien, 1995 .

Decision tree learning from distributed data

Vasant Honavar, Doina Caragea, Adrian Silvescu, 2001 .

A Characterization of Markov Equivalence Classes of Relational Causal Models under Path Semantics

Vasant Honavar, Sanghack Lee, Sanghack Lee, 2016, UAI.

Multivariate Data Visualization

Cesare Pautasso, Umberto Straccia, Heiko Schuldt, 2009, Encyclopedia of Database Systems.

Towards Robust Relational Causal Discovery

Vasant Honavar, Sanghack Lee, Sanghack Lee, 2019, UAI.

Adapt OWL as a Modular Ontology Language

Vasant Honavar, Jie Bao, 2006, OWLED.

A negotiation model in agent-mediated electronic commerce

Vasant Honavar, Mokdong Chug, Vasant G Honavar, 2000, Proceedings International Symposium on Multimedia Software Engineering.

Advances in the Evolutionary Synthesis of Intelligent Agents

Vasant Honavar, Mukesh Patel, Karthik Balakrishnan, 2001 .

Modular algorithms for biomolecular network alignment

Vasant Honavar, Mary Heather West Greenlee, Fadi Towfic, 2011 .

Detection of Gene Orthology Based on Protein-Protein Interaction Networks

Vasant Honavar, M. Heather West Greenlee, Fadi Towfic, 2009, 2009 IEEE International Conference on Bioinformatics and Biomedicine.

Self-Discrepancy Conditional Independence Test

Vasant Honavar, Sanghack Lee, Sanghack Lee, 2017, UAI.

Data-Driven Discovery of Protein Function Classifiers: Decision Trees Based on MEME Motifs outperform PROSITE Patterns and Profiles on Peptidase Families

Vasant Honavar, Drena Dobbs, Xiangyun Wang, 2002, JCIS.

Learning decision tree classifiers from attribute value taxonomies and partially specified data

Vasant Honavar, Jun Zhang, Vasant G Honavar, 2003, ICML 2003.

Learning support vector machine clas-sifiers from distributed data

Vasant Honavar, Cornelia Caragea, Doina Caragea, 2005 .

Experimental Comparison of Feature Subset Selection Using GA and ACO Algorithm

Jihoon Yang, Vasant Honavar, Keunjoon Lee, 2006, ADMA.

Learning DFA from Simple Examples

Rajesh Parekh, Vasant Honavar, 1997, ALT.

Predicting protective bacterial antigens using random forest classifiers

Vasant Honavar, Yasser El-Manzalawy, Drena Dobbs, 2012, BCB.

Major: Computer Science

Vasant Honavar, Yan-Bin Jia, Anna Atramentov, 2003 .

Inductive learning using generalized distance measures

Vasant Honavar, Vasant G Honavar, 1992, Defense, Security, and Sensing.

Learning in Presence of Ontology Mapping Errors

Vasant Honavar, Neeraj Koul, Vasant G Honavar, 2010, 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

Multi-view Network Embedding via Graph Factorization Clustering and Co-regularized Multi-view Agreement

Vasant Honavar, Yiwei Sun, Ngot Bui, 2018, 2018 IEEE International Conference on Data Mining Workshops (ICDMW).

Topics in knowledge bases: epistemic ontologies and secrecy-preserving reasoning

Vasant Honavar, Giora Slutzki, Jia Tao, 2012 .

Aligning Biomolecular Networks Using Modular Graph Kernels

Vasant Honavar, M. Heather West Greenlee, Fadi Towfic, 2009, WABI.

Modeling Web service composition using symbolic transition systems

Vasant Honavar, Samik Basu, Jyotishman Pathak, 2006, AAAI 2006.

Predicting MHC-II Binding Affinity Using Multiple Instance Regression

Vasant Honavar, Yasser El-Manzalawy, Drena Dobbs, 2011, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Learning Classifiers from Distributed, Ontology-Extended Data Sources

Vasant Honavar, Jun Zhang, Doina Caragea, 2006, DaWaK.

Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality

Vasant Honavar, Sanghack Lee, David Foley, 2019, WWW.

On Learning Causal Models from Relational Data

Vasant Honavar, Sanghack Lee, Sanghack Lee, 2016, AAAI.

PS PACE Tableau Algorithms for Acyclic Modalized

Vasant Honavar, Giora Slutzki, Tao Jia, 2012 .

Advanced Cyberinfrastructure for Science, Engineering, and Public Policy pdf

Vasant Honavar, Klara Nahrstedt, Katherine A. Yelick, 2017, ArXiv.

Reports on the 2006 AAAI Fall Symposia

Vasant Honavar, Alexander I. Rudnicky, Ian Harrison, 2007, AI Mag..

Warehousing Structured and Unstructured Data for Data Mining.

Vasant Honavar, Les L. Miller, Thomas Arnold Barta, 1997 .

Mean Average Precision

Cesare Pautasso, Umberto Straccia, Heiko Schuldt, 2009, Encyclopedia of Database Systems.

Quo Vadis - A Framework for Intelligent Routing in Large Communication Networks

Vasant Honavar, Armin R. Mikler, Johnny S. Wong, 1997, J. Syst. Softw..

Intelligent Diagnosis Systems

Vasant Honavar, Karthik Balakrishnan, Vasant G Honavar, 1998 .

Abstraction Super-Structuring Normal Forms: Towards a Theory of Structural Induction

Vasant Honavar, Adrian Silvescu, Vasant G Honavar, 2011, Algorithmic Probability and Friends.

Auto-steered Information-Decision Processes for Electric System Asset Management

William Q. Meeker, Vasant Honavar, Yuan Li, 2006, International Conference on Computational Science.

A Polynominal Time Incremental Algorithm for Learning DFA

Rajesh Parekh, Vasant Honavar, Codrin M. Nichitiu, 1998, ICGI.

iScore: An MPI supported software for ranking protein-protein docking models based on a random walk graph kernel and support vector machines

Vasant Honavar, Alexandre M. J. J. Bonvin, Cunliang Geng, 2020, SoftwareX.

Genetics, Development and Cell Biology Publications Genetics, Development and Cell Biology Rnabindr: a Server for Analyzing and Predicting Rna-binding Sites in Proteins Rnabindr: a Server for Analyzing and Predicting Rna-binding Sites in Proteins

Jae-Hyung Lee, Vasant Honavar, Robert L. Jernigan, 2022 .

Exploring innovative methods to evaluate the efficacy and safety of mobile health

Vasant Honavar, Susan A. Murphy, Vladimir Shusterman, 2013 .

A neural architecture for content as well as address-based storage and recall : theory and applications

Vasant Honavar, Chun-Hsien Chen, 1995 .

Spatial Learning for Robot Locialization

Vasant Honavar, Karthik Balakrishnan, Vasant G Honavar, 1997 .

Introduction

Vasant Honavar, Colin de la Higuera, 2001, Machine Learning.

Improving Convergence of Back-Propagation by Handling Flat-Spots in the Output Layer

Vasant Honavar, Karthik Balakrishnan, 1992 .

Pruning strategies for constructive neural network learning algorithms

Rajesh Parekh, Vasant Honavar, G.-Z. Yang, 1997 .

Model-driven Data Acquisition

Cesare Pautasso, Umberto Straccia, Heiko Schuldt, 2009, Encyclopedia of Database Systems.

Constructive neural-network learning algorithms for pattern classification

Jihoon Yang, Rajesh Parekh, Vasant Honavar, 2000, IEEE Trans. Neural Networks Learn. Syst..

Using Global Sequence Similarity to Enhance Biological Sequence Labeling

Vasant Honavar, Cornelia Caragea, Jivko Sinapov, 2008, 2008 IEEE International Conference on Bioinformatics and Biomedicine.

On the Semantics of Linking and Importing in Modular Ontologies

Vasant Honavar, Doina Caragea, Jie Bao, 2006, SEMWEB.

TRIPPER: Rule Learning Using Taxonomies

Vasant Honavar, Dae-Ki Kang, Adrian Silvescu, 2006, PAKDD.

MOSCOE: an Approach for Composing Web Services through Iterative Reformulation of Functional Specifications

Vasant Honavar, Samik Basu, Jyotishman Pathak, 2008, Int. J. Artif. Intell. Tools.

Sleep/wake state prediction and sleep parameter estimation using unsupervised classification via clustering

Vasant Honavar, Yasser El-Manzalawy, Orfeu M. Buxton, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Attribute Value Taxonomy Generation through Matrix Based Adaptive Genetic Algorithm

Jihoon Yang, Vasant Honavar, Byonghwa Oh, 2008, 2008 20th IEEE International Conference on Tools with Artificial Intelligence.

Machine Learning in Computational Biology

Vasant Honavar, Cornelia Caragea, Vasant G Honavar, 2009, Encyclopedia of Database Systems.

Combining Super-Structuring and Abstraction on Sequence Classification

Vasant Honavar, Cornelia Caragea, Adrian Silvescu, 2009, 2009 Ninth IEEE International Conference on Data Mining.

Node Injection Attacks on Graphs via Reinforcement Learning pdf

Vasant Honavar, Xianfeng Tang, Suhang Wang, 2019, ArXiv.

MIgories: an abstract model for interaction

Vasant Honavar, Adrian Silvescu, 2000 .

Generating AVTs Using GA for Learning Decision Tree Classifiers with Missing Data

Jihoon Yang, Vasant Honavar, Jun Zhang, 2004, Discovery Science.

Learning Classifiers Using Hierarchically Structured Class Taxonomies

Vasant Honavar, Jun Zhang, Feihong Wu, 2005, SARA.

Learn++: An in-cremental learning algorithm for multilayer neural networks

Satish S. Udpa, Lalita Udpa, Vasant Honavar, 2000 .

Towards Semantics-Enabled Distributed Infrastructure for Knowledge Acquisition

Vasant Honavar, Doina Caragea, Vasant G Honavar, 2008, AAAI Spring Symposium: Semantic Scientific Knowledge Integration.

Toward personalized sleep-wake prediction from actigraphy

Vasant Honavar, Yasser El-Manzalawy, Aria Khademi, 2018, 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

Feature subset selection for rule induction using RIPPER

Vasant Honavar, Jihoon Yang, Asok Tiyyagura, 1999 .

Book Review:Neural Network Design and the Complexity of Learning, by J. Stephen Judd. Cambridge, MA: MIT Press, 1990

Vasant Honavar, Vasant G Honavar, 1992, Machine Learning.

Cellular Encoding for Interactive Evolutionary Robotics

Vasant Honavar, Mukesh Patel, Karthik Balakrishnan, 2001 .

On sensor evolution in robotics

Vasant Honavar, Karthik Balakrishnan, 1996 .

Protein-RNA interface residue prediction using machine learning: an assessment of the state of the art

Vasant Honavar, Cornelia Caragea, Yasser El-Manzalawy, 2012, BMC Bioinformatics.

Recent advances in B-cell epitope prediction methods

Vasant Honavar, Yasser EL-Manzalawy, Vasant G Honavar, 2010, Immunome research.

Visualization for classification problems

Vasant Honavar, Doina Caragea, David Howard Cook, 2004 .

Interactive and verifiable web services composition, specification reformulation and substitution

Vasant Honavar, Jyotishman Pathak, Vasant G Honavar, 2007 .

Properties of Genetic Representations of Neural Architectures.

Vasant Honavar, Karthik Balakrishnan, Vasant G Honavar, 1995 .

Composing Web Services through Automatic Reformulation of Service Specifications

Vasant Honavar, Samik Basu, Jyotishman Pathak, 2008, 2008 IEEE International Conference on Services Computing.

Programming is Writing: Why Student Programs must be Carefully Read

Albert L. Baker, Vasant Honavar, Steven M. LaValle, 1998 .

iScore: a novel graph kernel-based function for scoring protein–protein docking models

Vasant Honavar, Alexandre M J J Bonvin, Cunliang Geng, 2020, Bioinform..

Efficient Markov Network Structure Discovery using Independence Tests

Vasant Honavar, Dimitris Margaritis, Facundo Bromberg, 2006, SDM.

Design and Implementation of a Query Planner for Data Integration

Vasant Honavar, Neeraj Koul, Vasant G Honavar, 2009, 2009 21st IEEE International Conference on Tools with Artificial Intelligence.

Statistics Gathering for Learning from Distributed, Heterogeneous and Autonomous Data Sources

Vasant Honavar, Doina Caragea, Adrian Silvescu, 2003, IIWeb.

Constructive Learning and Structural Learning

Jihoon Yang, Rajesh Parekh, Vasant Honavar, 1999 .

Discriminatively trained Markov model for sequence classification

Vasant Honavar, Oksana Yakhnenko, Adrian Silvescu, 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).

Generative learning structures for generalized connectionist networks

Vasant Honavar, Leonard Uhr, 1990 .

Collaborative Knowledge Acquisition from Semantically Disparate, Distributed Data Sources

Vasant Honavar, Doina Caragea, Vasant G Honavar, 2013 .

Message-Oriented Middleware (MOM)

Cesare Pautasso, Umberto Straccia, Heiko Schuldt, 2009, Encyclopedia of Database Systems.

Automata-Based Verification of Security Requirements of Composite Web Services

Vasant Honavar, Samik Basu, Robyn R. Lutz, 2010, 2010 IEEE 21st International Symposium on Software Reliability Engineering.

Constructive Neural Network Learning Algorithms for Multi-Category Pattern Classification

Rajesh Parekh, Vasant Honavar, Jihoon Yang, 1995 .

Preference Based Service Adaptation Using Service Substitution

Vasant Honavar, Ganesh Ram Santhanam, Samik Basu, 2013, 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT).

Ontology-Driven Information Extraction and Knowledge Acquisition from Heterogeneous, Distributed, Autonomous Biological Data Sources

Vasant Honavar, Doina Caragea, Adrian Silvescu, 2001 .

Learning Parsimonious Representations of Three-Dimensional Shapes

Vasant Honavar, 1992 .

DFA Learning from Simple Examples

Rajesh Parekh, Vasant Honavar, Vasant G Honavar, 2001 .

Grammar Inference Automata Induction and Language Acquisition

Rajesh Parekh, Vasant Honavar, Vasant G Honavar, 2005 .

Spatial Learning and Localization in Animals: A Computational Model and Behavioral Experiments

Vasant Honavar, Karthik Balakrishnan, Rushi Bhatt, 1998 .

CRISNER: A Practically Efficient Reasoner for Qualitative Preferences pdf

Vasant Honavar, Ganesh Ram Santhanam, Samik Basu, 2015, ArXiv.

Comparison of performance of variants of single-layer perceptron algorithms on nonseparable data

Rajesh Parekh, Vasant Honavar, Jennifer Yang, 2000 .

Learning Classifiers from Distributional Data

Vasant Honavar, Sanghack Lee, Ngot Bui, 2013, 2013 IEEE International Congress on Big Data.

Predicting flexible length linear B-cell epitopes.

Vasant Honavar, Yasser El-Manzalawy, Drena Dobbs, 2008, Computational systems bioinformatics. Computational Systems Bioinformatics Conference.

Microbiomarkers Discovery in Inflammatory Bowel Diseases using Network-Based Feature Selection

Vasant Honavar, Mostafa M. Abbas, Yasser El-Manzalawy, 2018, BCB.

Predicting protein-protein interface residues using local surface structural similarity

Vasant Honavar, Yasser El-Manzalawy, Drena Dobbs, 2012, BMC Bioinformatics.

Multi-Instance Multi-Label Learning for Image Classification with Large Vocabularies

Vasant Honavar, Oksana Yakhnenko, Vasant G Honavar, 2011, BMVC.

m-Transportability: Transportability of a Causal Effect from Multiple Environments

Vasant Honavar, Sanghack Lee, 2013, AAAI.

Ontology-Extended Component-Based Workflows : A Framework for Constructing Complex Workflows from Semantically Heterogeneous Software Components

Vasant Honavar, Doina Caragea, Jyotishman Pathak, 2004, SWDB.

Assessing the Performance of Macromolecular Sequence Classifiers

Vasant Honavar, Cornelia Caragea, Jivko Sinapov, 2007, 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering.

Learning Classifiers from Distributed Data Sources

Vasant Honavar, Doina Caragea, Vasant G Honavar, 2009 .

On the Relationship between Models for Learning in Helpful Environments

Rajesh Parekh, Vasant Honavar, Vasant G Honavar, 2000, ICGI.

Automated data-driven discovery of motif-based protein function classifiers

Vasant Honavar, Drena Dobbs, Xiangyun Wang, 2003, Inf. Sci..

Incremental and Distributed Learning with Support Vector Machines

Vasant Honavar, Doina Caragea, Adrian Silvescu, 2000, AAAI/IAAI.

Learning Classifiers from Large Databases Using Statistical Queries

Vasant Honavar, Cornelia Caragea, Doina Caragea, 2008, 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

A multiagent systems approach for managing dynamic information and decisions in competitive electric

Vasant Honavar, James D. McCalley, V. Vishwanathan, 2000 .

A two-stage classifier for identification of protein-protein interface residues

Vasant Honavar, Drena Dobbs, Changhui Yan, 2004, ISMB/ECCB.

LEARN++: an incremental learning algorithm for multilayer perceptron networks

Satish S. Udpa, Vasant Honavar, Lalita Udpa, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Integration of cognitive systems across disciplinary boundaries

Vasant Honavar, Ron Sun, Gregg C. Oden, 1999, Cognitive Systems Research.

Proceedings of the Genetic and Evolutionary Computation Conference

Vasant Honavar, A. E. Eiben, Keith E. Mathias, 2021, GECCO.

Learning Link-Based Naïve Bayes Classifiers from Ontology-Extended Distributed Data

Vasant Honavar, Cornelia Caragea, Doina Caragea, 2009, OTM Conferences.

Experiments in Evolutionary Synthesis of Robotic Neurocontrollers

Vasant Honavar, Karthik Balakrishnan, 1996, AAAI/IAAI, Vol. 2.

Package-Based Description Logics - Preliminary Results

Vasant Honavar, Doina Caragea, Jie Bao, 2006, International Semantic Web Conference.

Learning classifiers from distributed, semantically heterogeneous, autonomous data sources

Vasant Honavar, Doina Caragea, Vasant G Honavar, 2004 .

Visual Methods for Examining SVM Classifiers

Vasant Honavar, Doina Caragea, Dianne Cook, 2008, Visual Data Mining.

Experiments with the cascade-correlation algorithm

Vasant Honavar, Jihoon Yang, 1991, [Proceedings] 1991 IEEE International Joint Conference on Neural Networks.

Symbolic Artificial Intelligence, Connectionist Networks & Beyond.

Vasant Honavar, Leonard M. Uhr, Vasant G Honavar, 1994 .

A Conceptual Framework for Secrecy-preserving Reasoning in Knowledge Bases

Vasant Honavar, Giora Slutzki, Jia Tao, 2014, ACM Trans. Comput. Log..

Federated ALCI: Preliminary Report

Vasant Honavar, Giora Slutzki, Jie Bao, 2008, 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

Lifted Representation of Relational Causal Models Revisited: Implications for Reasoning and Structure Learning

Vasant Honavar, Sanghack Lee, Sanghack Lee, 2015, ACI@UAI.

E and robust policy heuristics

Vasant Honavar, András Lörincz, Imre Pólik, 2003 .

Goal Directed Adaptive Behavior in Second-Order Neural Networks: Learning and Evolving in the MAXSON Architecture

Vasant Honavar, Mukesh Patel, Karthik Balakrishnan, 2001 .

Learning Relational Bayesian Classifiers from RDF Data

Vasant Honavar, Harris T. Lin, Neeraj Koul, 2011, SEMWEB.

Improving protein-RNA interface prediction by combining sequence homology based method with a naive Bayes classifier: preliminary results

Vasant Honavar, Yasser El-Manzalawy, Rasna R. Walia, 2011, BCB '11.

Learning Classifiers from Chains of Multiple Interlinked RDF Data Stores

Vasant Honavar, Harris T. Lin, Vasant G Honavar, 2013, 2013 IEEE International Congress on Big Data.

An Object Oriented Approach to Modeling and Simulation of Routing in Large Communication Networks

Vasant Honavar, Johnny Wong, Armin R. Mikler, 1995 .

A Software Fault Tree Approach to Requirements Analysis of an Intrusion Detection System

Vasant Honavar, Johnny S. Wong, Robyn R. Lutz, 2002, Requirements Engineering.

Analysis of Decision Boundaries Generated by Constructive Neural Network Learning Algorithms

Rajesh Parekh, Vasant Honavar, Karthik Balakrishnan, 1995 .

A Distributed Tableau Algorithm for Package-based Description Logics

Vasant Honavar, Jie Bao, Doina Caragea, 2006 .

Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information Sources

Vasant Honavar, Jun Zhang, Doina Caragea, 2005, ALT.

Learning Ontology-Aware Classifiers

Vasant Honavar, Jun Zhang, Doina Caragea, 2005, Discovery Science.

Pruning strategies for the MTiling constructive learning algorithm

Jihoon Yang, Rajesh Parekh, Vasant Honavar, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Federated description logics for the semantic web

Vasant Honavar, Giora Slutzki, George Voutsadakis, 2010 .

Spatial Memory Structures for Sensor-Guided Robot Navigation

Vasant Honavar, Karthik Balakrishnan, Vasant G Honavar, 1997 .

An empirical comparison of the performance so single-layer algorithms for training threshold logic units

Jihoon Yang, Rajesh Parekh, Vasant Honavar, 2000, Neural Parallel Sci. Comput..

Spatial Learning and Localization in Rodents: A Computational Model of the Hippocampus and its Implications for Mobile Robots

Vasant Honavar, Karthik Balakrishnan, Olivier Bousquet, 1999, Adapt. Behav..

Discovering Web Services over the Semantic Web

Vasant Honavar, Doina Caragea, Jyotishman Pathak, 2005 .

Detection of gene orthology from gene co-expression and protein interaction networks

Vasant Honavar, M. Heather West Greenlee, Fadi Towfic, 2010, BMC Bioinformatics.

Web Service Substitution Based on Preferences Over Non-functional Attributes

Vasant Honavar, Ganesh Ram Santhanam, Samik Basu, 2009, 2009 IEEE International Conference on Services Computing.

Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information Sources

Vasant Honavar, Jun Zhang, Doina Caragea, 2005, Discovery Science.

Secrecy-Preserving Query Answering for Instance Checking in EL\mathcal{EL}

Vasant Honavar, Giora Slutzki, Jia Tao, 2010, RR.

Biomarker discovery in inflammatory bowel diseases using network-based feature selection

Vasant Honavar, Yasser El-Manzalawy, Halima Bensmail, 2019, PloS one.

SMART mobile agent facility

Vasant Honavar, Johnny S. Wong, Leslie L. Miller, 2001, J. Syst. Softw..

Adaptive Structural Co-regularization for Unsupervised Multi-view Feature Selection

Vasant Honavar, Suhang Wang, Tsung-Yu Hsieh, 2019, 2019 IEEE International Conference on Big Knowledge (ICBK).

Power System Security Margin Prediction Using Radial Basis Function Networks

Vasant Honavar, James D. McCalley, Guozhong Zhou, 1997 .

Analysis of Protein Protein Dimeric Interfaces

Vasant Honavar, Drena Dobbs, Feihong Wu, 2007, 2007 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2007).

Meta Data Management System

Cesare Pautasso, Umberto Straccia, Heiko Schuldt, 2009, Encyclopedia of Database Systems.

Development in Neural Networks

Vasant Honavar, Mukesh Patel, Karthik Balakrishnan, 2001 .

Semantic web forb collaborative knowledge acquisition : Papers from the AAAI Fall Symposium : Technical Report FS-06-06

Vasant Honavar, Tim Finin, 2006 .

Multiple label prediction for image annotation with multiple Kernel correlation models

Vasant Honavar, Oksana Yakhnenko, Vasant G Honavar, 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Evolutionary Design of Neural Architectures

Vasant Honavar, Karthik Balakrishnan, 1995 .

Faster Learning in Multi-Layer Networks by Handling Output-Layer Flat-Spots

Vasant Honavar, Karthik Balakrishnan, 1992 .

From Evolving a Single Neural Network to Evolving Neural Network Ensembles

Vasant Honavar, Mukesh Patel, Karthik Balakrishnan, 2001 .

Information extraction and integration from heterogeneous, distributed, autonomous information sources - a federated ontology-driven query-centric approach

Vasant Honavar, Doina Caragea, Jyotishman Pathak, 2003, Proceedings Fifth IEEE Workshop on Mobile Computing Systems and Applications.

Learning Link-Based Classifiers from Ontology-Extended Textual Data

Vasant Honavar, Cornelia Caragea, Doina Caragea, 2009, 2009 21st IEEE International Conference on Tools with Artificial Intelligence.

Simple Stochastic Temporal Constraint Networks

Vasant Honavar, Vadim Kirillov, Vasant G Honavar, 1995 .

Semi-supervised sequence classification using abstraction augmented Markov models

Vasant Honavar, Cornelia Caragea, Doina Caragea, 2010, BCB '10.

Scalable, updatable predictive models for sequence data

Vasant Honavar, Ngot Bui, Neeraj Koul, 2010, 2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Learning predictive models from massive, semantically disparate data

Vasant Honavar, Neeraj Koul, Vasant G Honavar, 2011 .

Towards Collaborative Environments for Ontology Construction and Sharing

Vasant Honavar, Doina Caragea, Jie Bao, 2006, International Symposium on Collaborative Technologies and Systems (CTS'06).

Efficient Markov Network Structure Discovery using Independence Tests

Vasant Honavar, Dimitris Margaritis, Facundo Bromberg, 2006, SDM.

Toward learning systems that integrate multiple strategies and representations

Vasant Honavar, Vasant G Honavar, 1994 .

Learning predictive models from large distributed autonomous data sources

Vasant Honavar, 2012, CIDU.

Learning Classifiers for Assigning Protein Sequences to Gene Ontology Functional Families

Vasant Honavar, Adrian Silvescu, Carson M. Andorf, 2004 .

Autonomous agents for coordinated distributed parameterized heuristic routing in large dynamic communication networks

Vasant Honavar, Armin R. Mikler, Johnny S. Wong, 2001, J. Syst. Softw..

Discovery Informatics in Biological and Biomedical Sciences: Research Challenges and Opportunities

Vasant Honavar, 2015, Pacific Symposium on Biocomputing.

Inter-element dependency models for sequence classification

Vasant Honavar, Adrian Silvescu, Carson M. Andorf, 2004 .

A Causal Lens for Peeking into Black Box Predictive Models: Predictive Model Interpretation via Causal Attribution pdf

Vasant Honavar, Aria Khademi, Vasant G Honavar, 2020, ArXiv.

Co-Evolution and Ontogenetic Change in Competing Robots

Vasant Honavar, Mukesh Patel, Karthik Balakrishnan, 2001 .

Package-Based Description Logics

Vasant Honavar, Giora Slutzki, Jie Bao, 2009, Modular Ontologies.

Temporal Causality Analysis of Sentiment Change in a Cancer Survivor Network

John Yen, Vasant Honavar, Ngot Bui, 2016, IEEE Transactions on Computational Social Systems.

Algorithms and software for col-laborative discovery from autonomous

Vasant Honavar, Jyotishman Pathak, Jie Bao, 2005 .

Evolution and Learning in Radial Basis Function Neural Networks - A Hybrid Approach

Vasant Honavar, Mukesh Patel, Karthik Balakrishnan, 2001 .

Representation and Learning of Spatial Maps

Vasant Honavar, Karthik Balakrishnan, Rushi Bhatt, 2000 .

Towards simple, easy-to-understand, yet accurate classifiers

Vasant Honavar, Doina Caragea, Dianne Cook, 2003, Third IEEE International Conference on Data Mining.

Gaining insights into support vector machine pattern classifiers using projection-based tour methods

Vasant Honavar, Doina Caragea, Dianne Cook, 2001, KDD '01.

On the Decidability of Role Mappings between Modular Ontologies

Vasant Honavar, Giora Slutzki, Jie Bao, 2008, AAAI.

Vasant Honavar, Junjie Liang, Jinlong Hu, 2018, Expert Syst. Appl..

Machine Learning in Computational Biology

Vasant Honavar, Cornelia Caragea, 2018, Encyclopedia of Database Systems.

Unsupervised Learning of Probabilistic Context-Free Grammar using Iterative Biclustering

Kewei Tu, Vasant Honavar, 2008, ICGI.

Books-Received - Artificial Intelligence and Neural Networks - Steps Toward Principled Integration

Vasant Honavar, Leonard Uhr, Vasant G Honavar, 1994 .

Longitudinal Deep Kernel Gaussian Process Regression pdf

Vasant Honavar, Junjie Liang, Dongkuan Xu, 2020, ArXiv.

On Utilizing Qualitative Preferences in Web Service Composition: A CP-net Based Approach

Vasant Honavar, Ganesh Ram Santhanam, Samik Basu, 2008, 2008 IEEE Congress on Services - Part I.

The Emergence of Communication Through Synthetic Evolution

Vasant Honavar, Mukesh Patel, Karthik Balakrishnan, 2001 .

Collaborative Ontology Building with Wiki@nt - A Multi-agent Based Ontology Building Environment

Vasant Honavar, Jie Bao, Vasant G Honavar, 2004, EON.

Toward Learning Systems That Integrate Different Strategies and Representations

Vasant Honavar, Vasant G Honavar, 1993 .

Dynamical Gaussian Process Latent Variable Model for Representation Learning from Longitudinal Data

Vasant Honavar, Thanh Le, 2020, FODS.

Min-redundancy and max-relevance multi-view feature selection for predicting ovarian cancer survival using multi-omics data

Vasant Honavar, Yasser EL-Manzalawy, Tsung-Yu Hsieh, 2018, BMC Medical Genomics.

Remembering GECCO-99A Short Summary

Vasant Honavar, A. E. Eiben, Max H. Garzon, 2000 .

The Virtual Data Collaboratory: A Regional Cyberinfrastructure for Collaborative Data-Driven Research

Vasant Honavar, Grace Agnew, Manish Parashar, 2020, Computing in Science & Engineering.

Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time Intervals pdf

Vasant Honavar, Suhang Wang, Tsung-Yu Hsieh, 2020, ArXiv.

Generation, Local Receptive Fields and Global Convergence Improve Perceptual Learning in Connectionist Networks

Vasant Honavar, Leonard Uhr, 1989, IJCAI.

Reconciling Inconsistencies Between Package-extended Ontology Modules

Vasant Honavar, Jie Bao, 2005 .

Temporal Causality of Social Support in an Online Community for Cancer Survivors

John Yen, Vasant Honavar, Ngot Bui, 2015, SBP.

Learning classifiers from remote RDF data stores augmented with RDFS subclass hierarchies

Vasant Honavar, Ngot Bui, Harris T. Lin, 2015, 2015 IEEE International Conference on Big Data (Big Data).

Toward Semantics-Enabled Infrastructure for Knowledge Acquisition from Distributed Data

Vasant Honavar, Doina Caragea, Vasant G Honavar, 2008, Next Generation of Data Mining.

Machine Learning Approaches in Bioinformatics and Computational Biology

Vasant Honavar, Laurence H. Baker, 2004 .

Learning Decision Trees form Distributed Heterogeneous Autonomous Data

Vasant Honavar, Doina Caragea, Adrian Silvescu, 2003, MAICS.

Constructive theory refinement in knowledge based neural networks

Rajesh Parekh, Vasant Honavar, Vasant G Honavar, 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

Automated discovery of concise predictive rules for intrusion detection

Vasant Honavar, Johnny S. Wong, Leslie L. Miller, 2002, J. Syst. Softw..

Ranking docked models of protein-protein complexes using predicted partner-specific protein-protein interfaces: a preliminary study

Vasant Honavar, Yasser El-Manzalawy, Drena Dobbs, 2011, BCB '11.

A Multi-relational Decision Tree Learning Algorithm - Implementation and Experiments

Vasant Honavar, Anna Atramentov, Hector Leiva, 2003, ILP.

Representing and Reasoning with Qualitative Preferences: Tools and Applications

Vasant Honavar, Ganesh Ram Santhanam, Samik Basu, 2016, Representing and Reasoning with Qualitative Preferences.

Evolving Neuro-Controllers and Sensors for Artificial Agents

Vasant Honavar, Mukesh Patel, Karthik Balakrishnan, 2001 .

The Dynamical Gaussian Process Latent Variable Model in the Longitudinal Scenario pdf

Vasant Honavar, Thanh Le, 2019, ArXiv.

On the utility of abstraction in labeling actors in social networks

Vasant Honavar, Ngot Bui, Vasant G Honavar, 2013, 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013).

Intelligent mobile agents for information retrieval and knowledge discovery from distributed data and knowledge sources

Jihoon Yang, Vasant Honavar, Johnny Wong, 1998, 1998 IEEE Information Technology Conference, Information Environment for the Future (Cat. No.98EX228).

A Neural Architecture for Content as well as Address-based Storage and Recall: Theory and Applications

Vasant Honavar, Chun-Hsien Chen, 1995, Connect. Sci..

A framework for developing epitope prediction tools

Vasant Honavar, Yasser El-Manzalawy, 2010, BCB '10.

Representing and Reasoning with Qualitative Preferences for Compositional Systems

Vasant Honavar, Ganesh Ram Santhanam, Samik Basu, 2011, J. Artif. Intell. Res..

Modular Ontologies - A Formal Investigation of Semantics and Expressivity

Vasant Honavar, Doina Caragea, Jie Bao, 2006, ASWC.

Integrated Decision Algorithms for Auto-steered Electric Transmission System Asset Management

Yili Hong, William Q. Meeker, Vasant Honavar, 2007, International Conference on Computational Science.

Selecting and Composing Web Services through Iterative Reformulation of Functional Specifications

Vasant Honavar, Samik Basu, Jyotishman Pathak, 2006, 2006 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06).

Data-driven theory refinement algorithms for bioinformatics

Jihoon Yang, Rajesh Parekh, Vasant Honavar, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Temporal Boolean Network Models of Genetic Networks and their Inference from Gene Expression Time Series

Vasant Honavar, Adrian Silvescu, 2001, Complex Syst..

Object-oriented data warehouse for information fusion from heterogeneous distributed data and knowledge sources

Vasant Honavar, Johnny Wong, Sree Nilakanta, 1998, 1998 IEEE Information Technology Conference, Information Environment for the Future (Cat. No.98EX228).

Regulatory RNA: Session Introduction

Vasant Honavar, Robert L. Jernigan, Drena Dobbs, 2016 .

A Tableau-Based Federated Reasoning Algorithm for Modular Ontologies

Vasant Honavar, Doina Caragea, Jie Bao, 2006, 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings)(WI'06).

Generatlve Learning Structures and Processes for Connectionist Networks

Vasant Honavar, Leonard M. Uhr, 1993 .

Information Integration from Semantically Heterogeneous Biological Data Sources

Vasant Honavar, Doina Caragea, Jyotishman Pathak, 2005, 16th International Workshop on Database and Expert Systems Applications (DEXA'05).

Brain-structured Connectionist Networks that Perceive and Learn

Vasant Honavar, Leonard Uhr, Vasant G Honavar, 1989 .

Evaluation of Methods on the RB111 dataset.

Vasant Honavar, Rasna R. Walia, Drena Dobbs, 2014 .

Lightweight agents for intrusion detection

Vasant Honavar, Johnny S. Wong, Yanxin Wang, 2003, J. Syst. Softw..

Learning DFA from Simple Examples

Rajesh Parekh, Vasant Honavar, Vasant G Honavar, 1997, Machine Learning.

Learning Support Vector Machines from Distributed Data Sources

Vasant Honavar, Cornelia Caragea, Doina Caragea, 2005, AAAI.

Learning concise and accurate na?ve bayes classifiers from attribute value taxonomies and data

Vasant Honavar, Jun Zhang, 2004 .

A Computational Model of Rodent Spatial Learning and Some Behavioral Experiments

Vasant Honavar, Karthik Balakrishnan, Rushi Bhatt, 1998 .

Integrating Symbol Processing Systems and Connectionist Networks

Vasant Honavar, Leonard M. Uhr, 1995 .

Identification of interface residues in protease-inhibitor and antigen-antibody complexes: a support vector machine approach

Vasant Honavar, Drena Dobbs, Changhui Yan, 2004, Neural Computing & Applications.

Detection and identification of odorants using an electronic nose

Vasant Honavar, Lalita Udpa, Robi Polikar, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Symbol Processing Systems, Connectionist Networks, and Generalized Connectionist Networks

Vasant Honavar, Leonard Uhr, Vasant G Honavar, 2007 .

Semi-supervised prediction of protein subcellular localization using abstraction augmented Markov models

Vasant Honavar, Cornelia Caragea, Doina Caragea, 2010, BMC Bioinformatics.

Min-Redundancy and Max-Relevance Multi-view Feature Selection for Predicting Ovarian Cancer Survival using Multi-omics Data

Vasant Honavar, Yasser EL-Manzalawy, Dokyoon Kim, 2018 .

Integration of Domain-Specific and Domain-Independent Ontologies for Colonoscopy Video Database Annotation

Vasant Honavar, Yu Cao, Wallapak Tavanapong, 2004, IKE.

Verifying Preferential Equivalence and Subsumption via Model Checking

Vasant Honavar, Ganesh Ram Santhanam, Samik Basu, 2013, ADT.

Learning accurate and concise naïve Bayes classifiers from attribute value taxonomies and data

Vasant Honavar, Jun Zhang, Dae-Ki Kang, 2006, Knowledge and Information Systems.

Some experiments in the evolution of robot sensors

Vasant Honavar, Karthik Balakrishnan, Vasant G Honavar, 1999 .

Glycosylation site prediction using ensembles of Support Vector Machine classifiers

Vasant Honavar, Cornelia Caragea, Jivko Sinapov, 2007, BMC Bioinformatics.

Coordination and control structures and processes: possibilities for connectionist networks (CN)

Vasant Honavar, Leonard Uhr, Vasant G Honavar, 1990, J. Exp. Theor. Artif. Intell..

Knowledge Acquisition from Semantically Heterogeneous Data

Vasant Honavar, Doina Caragea, 2009, Encyclopedia of Data Warehousing and Mining.

Independence, Decomposability and Functions which Take Values into an Abelian Group

Vasant Honavar, Adrian Silvescu, Vasant G Honavar, 2006, AI&M.

Utility-Theoretic Heuristics for Intelligent Adaptive Routing in Large Communcation Networks

Vasant Honavar, Armin R. Mikler, Johnny Wong, 1995 .

A General Strategy for Knowledge Acquisition from Semantically Heterogeneous Data Sources

Vasant Honavar, Doina Caragea, Jie Bao, 2006, AAAI Fall Symposium: Semantic Web for Collaborative Knowledge Acquisition.

B-cell Ligand Processing Pathways Detected by Large-scale Comparative Analysis

Vasant Honavar, Fadi Towfic, Shankar Subramaniam, 2012, Genom. Proteom. Bioinform..

Multiple Query Optimization

Cesare Pautasso, Umberto Straccia, Heiko Schuldt, 2009, Encyclopedia of Database Systems.

GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, New York, USA, 9-13 July 2002

Julian F. Miller, Riccardo Poli, Vasant Honavar, 2002, GECCO.

Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence

Vasant Honavar, Oksana Yakhnenko, Vasant G Honavar, 2009, SDM.

A Neural Network Architecture for High-Speed Database Query Processing

Vasant Honavar, Chun-Hsien Chen, 1995 .

Tools for Integrating Heterogeneous Data Sources from a User Perspective

Vasant Honavar, Jie Bao, Doina Caragea, 2004 .

iScore: a novel graph kernel-based function for scoring protein–protein docking models

Vasant Honavar, Alexandre M. J. J. Bonvin, Cunliang Geng, 2018, bioRxiv.

MEGAN: A Generative Adversarial Network for Multi-View Network Embedding

Vasant Honavar, Xianfeng Tang, Suhang Wang, 2019, IJCAI.

Handbook of Natural Language Processing

Rajesh Parekh, Vasant Honavar, 1998 .

Proceedings of the 1st International Conference on Modular Ontologies - Volume 232

Vasant Honavar, York Sure, Oliver Kutz, 2006 .

Learning Classifiers from Semantically Heterogeneous Data

Vasant Honavar, Doina Caragea, Jyotishman Pathak, 2004, CoopIS/DOA/ODBASE.

Intelligent agents for intrusion detection

Vasant Honavar, Guy Helmer, Guy G. Helmer, 1998, 1998 IEEE Information Technology Conference, Information Environment for the Future (Cat. No.98EX228).

Causal Transportability of Experiments on Controllable Subsets of Variables: z-Transportability pdf

Vasant Honavar, Sanghack Lee, 2013, UAI.

Algorithmic Bias in Recidivism Prediction: A Causal Perspective

Vasant Honavar, Aria Khademi, Vasant G Honavar, 2019, AAAI.

Analysis of Neurocontrollers Designed by Simulated Evolution

Vasant Honavar, Karthik Balakrishnan, 1995 .

Learn++: an incremental learning algorithm for supervised neural networks

Vasant Honavar, Robi Polikar, L. Upda, 2001, IEEE Trans. Syst. Man Cybern. Part C.

Transportability from Multiple Environments with Limited Experiments

Vasant Honavar, Elias Bareinboim, Judea Pearl, 2013, NIPS.

Representing and Reasoning with Modular Ontologies

Vasant Honavar, Jie Bao, Vasant G Honavar, 2006, AAAI Fall Symposium: Semantic Web for Collaborative Knowledge Acquisition.

Multi-Agent Negotiation Models for Power System Applications

Vasant Honavar, James D. McCalley, Zhong Zhang, 2003 .

Decision Tree Induction from Distributed Heterogeneous Autonomous Data Sources

Vasant Honavar, Doina Caragea, Adrian Silvescu, 2003 .

Dominance Testing via Model Checking

Vasant Honavar, Ganesh Ram Santhanam, Samik Basu, 2010, AAAI.

Data-Driven Discovery of Rules for Protein Function Classification Based on Sequence Motifs

Xia Wang, Vasant Honavar, Drena Dobbs, 2003 .

Feature Selection Using a Genetic Algorithm for Intrusion Detection

Vasant Honavar, Johnny S. Wong, Leslie L. Miller, 1999, GECCO.

Complexes of on-line self assembly

Vasant Honavar, Jack H. Lutz, Neeraj Koul, 2008, 2008 IEEE International Conference on Electro/Information Technology.

Learning Decision Trees from Multi-Relational Data

Vasant Honavar, Anna Atramentov, Hector A. Leiva, 2003 .

PSPACE Tableau Algorithms for Acyclic Modalized $\boldsymbol{\mathcal{ALC}}$

Vasant Honavar, Giora Slutzki, Jia Tao, 2011, Journal of Automated Reasoning.

Proceedings of the 2nd International Workshop on Modular Ontologies, WoMO 2007, Whistler, Canada, October 28, 2007

Vasant Honavar, Bernardo Cuenca Grau, Frank Wolter, 2008, WoMO.

Data-Driven Generation of Decision Trees for Motif-Based Assignment of Protein Sequences to Functional Families

Vasant Honavar, Drena Dobbs, Dake Wang, 2000 .

An object oriented approach to simulating large communication networks

Vasant Honavar, Armin R. Mikler, Johnny S. K. Wong, 1998, J. Syst. Softw..

Ontology-Driven Induction of Decision Trees at Multiple Levels of Abstraction

Vasant Honavar, Jun Zhang, Adrian Silvescu, 2002, SARA.

Predicting Protective Linear B-Cell Epitopes Using Evolutionary Information

Vasant Honavar, Yasser El-Manzalawy, Drena Dobbs, 2008, 2008 IEEE International Conference on Bioinformatics and Biomedicine.

Ontology-based Integration and Retrieval over Multiple Quantities - What if "Ovate leaves and often blue to purple flowers"

Vasant Honavar, Giora Slutzki, Jie Bao, 2007, Web Intelligence.

Generation of attribute value taxonomies from data for data-driven construction of accurate and compact classifiers

Vasant Honavar, Jun Zhang, Dae-Ki Kang, 2004, Fourth IEEE International Conference on Data Mining (ICDM'04).

Accelerating Science: A Computing Research Agenda pdf

Vasant Honavar, Katherine A. Yelick, Mark D. Hill, 2016, ArXiv.

Learning Classification Trees from Distributed Horizontally and Vertically Fragmented Data Sets

Vasant Honavar, Adrian Silvescu, Tarkeshwari Sharma, 2000 .

Failure Analysis for Composition of Web Services Represented as Labeled Transition Systems

Vasant Honavar, Samik Basu, Robyn R. Lutz, 2010, WS-FM.

Information Integration and Knowledge Acquisition from Semantically Heterogeneous Biological Data Sources

Vasant Honavar, Doina Caragea, Jyotishman Pathak, 2005, DILS.

An incremental interactive algorithm for grammar inference

Rajesh Parekh, Vasant Honavar, 1996 .

Parallel Web Service Composition in MoSCoE: A Choreography-Based Approach

Vasant Honavar, Samik Basu, Jyotishman Pathak, 2006, 2006 European Conference on Web Services (ECOWS'06).

Evolutionary Design of Neural Architectures -- A Preliminary Taxonomy and Guide to Literature

Vasant Honavar, Karthik Balakrishnan, Vasant G Honavar, 1995 .

Using a Seed-Network to More Effectively Query Large-Scale Expression Data

Vasant Honavar, M. Greenlee, Laura A. Hecker, 2007 .

Neural network design and the complexity of learning, by J. Stephen Judd. Cambridge, MA: MIT Press, 1990

Vasant Honavar, Vasant G Honavar, 1992, Machine Learning.

Feature Subset Selection Using a Genetic Algorithm

Jihoon Yang, Vasant Honavar, Vasant G Honavar, 1998, IEEE Intell. Syst..

Improving Image Captioning by Leveraging Knowledge Graphs

Vasant Honavar, Yimin Zhou, Yiwei Sun, 2019, 2019 IEEE Winter Conference on Applications of Computer Vision (WACV).

Multiple Classifier System

Cesare Pautasso, Umberto Straccia, Heiko Schuldt, 2009, Encyclopedia of Database Systems.

Automata Induction, Grammar Inference, and Language Acquisition

Rajesh Parekh, Vasant Honavar, Vasant G Honavar, 2000 .

Biomarker discovery in inflammatory bowel diseases using network-based feature selection

Vasant Honavar, Mostafa M. Abbas, John Matta, 2019, bioRxiv.

On Context-Specific Substitutability of Web Services

Vasant Honavar, Samik Basu, Jyotishman Pathak, 2007, IEEE International Conference on Web Services (ICWS 2007).

Top-N-Rank: A Scalable List-wise Ranking Method for Recommender Systems

Vasant Honavar, Junjie Liang, Shoubin Dong, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Big Data, Data Science, and Civil Rights pdf

Solon Barocas, Vasant Honavar, Elizabeth Bradley, 2017, ArXiv.

Struct-NB: predicting protein-RNA binding sites using structural features

Vasant Honavar, Cornelia Caragea, Drena Dobbs, 2010, Int. J. Data Min. Bioinform..

Grammatical Inference: 4th International Colloquium, ICGI-98, Ames, Iowa, USA, July 12-14, 1998, Proceedings

Vasant Honavar, Giora Slutzki, 1998 .

Abstraction Super-Structuring Normal Forms: Towards a Theory of Structural Induction

Vasant Honavar, Adrian Silvescu, Vasant G Honavar, 2011, Algorithmic Probability and Friends.

Verifying Intervention Policies to Counter Infection Propagation over Networks: A Model Checking Approach

Vasant Honavar, Ganesh Ram Santhanam, Samik Basu, 2011, AAAI.

Multinomial Event Model Based Abstraction for Sequence and Text Classification

Vasant Honavar, Jun Zhang, Dae-Ki Kang, 2005, SARA.

Jae-Hyung Lee, Vasant Honavar, Cornelia Caragea, 2007, Pacific Symposium on Biocomputing.

Efficient Dominance Testing for Unconditional Preferences

Vasant Honavar, Ganesh Ram Santhanam, Samik Basu, 2010, KR.

FARE: Enabling Fine-grained Attack Categorization under Low-quality Labeled Data

Vasant Honavar, Xinyu Xing, Gang Wang, 2021, NDSS.

Functional Autoencoders for Functional Data Representation Learning

Vasant Honavar, Yiwei Sun, Suhang Wang, 2021, SDM.

Shedding light into the darknet: scanning characterization and detection of temporal changes

John Yen, Vasant Honavar, Michalis Kallitsis, 2021, CoNEXT.

Zooming Into the Darknet: Characterizing Internet Background Radiation and its Structural Changes pdf

John Yen, Vasant Honavar, Michalis Kallitsis, 2021, ArXiv.

Feeding the machine: Challenges to reproducible predictive modeling in resting-state connectomics

Vasant Honavar, Sarah M. Rajtmajer, Frank G. Hillary, 2021, Network Neuroscience.

Reasoning with F-ALCI Over Lattices

Vasant Honavar, Giora Slutzki, George Voutsadakis, 2009 .

Principles of Artificial Intelligence Fall 2005 Handout

Vasant Honavar, .

Predicting Protein-Protein Interaction Sites From Amino Acid Sequence

Vasant Honavar, Drena Dobbs, Changhui Yan, 2002 .

A Multiagent Security Economy Decision Support Infrastructure for Deregulated Electric Power Systems

Vasant Honavar, James D. McCalley, Vidya Vishwanathan, 2002 .

Properties of Genetic Representations of Neural ArchitecturesKarthik

Vasant Honavar, 1995 .

Characterization of Protein–Protein Interfaces

Vasant Honavar, Robert L Jernigan, Drena Dobbs, 2008, The protein journal.

Package-based Description Logics: Syntax, Semantics and Complexity

Vasant Honavar, Giora Slutzki, Jie Bao, 2008 .

A Software Fault Tree Approa h to Requirements Analysis of anIntrusion Dete tion

Vasant Honavar, Mark Slagell, Johnny Wong, 2000 .

A Dominance Relation for Unconditional Multi-Attribute Preferences

Vasant Honavar, Ganesh Ram Santhanam, Samik Basu, 2009 .

Some Biases for EfficientLearning of Spatial, Temporal, and Spatio-Temporal Patterns

Vasant Honavar, Vasant G Honavar, 1992 .

Evolutionary Neurogenesis Applied to Mobile Robotics

Vasant Honavar, Karthik Balakrishnan, Mukesh Patel, 2001 .

On Evaluating MHC-II Binding Peptide Prediction Methods

Vasant Honavar, Drena Dobbs, Yasser EL-Manzalawy, 2008, PloS one.

Characterization of ProteinProtein Interfaces

Vasant Honavar, Robert L. Jernigan, Drena Dobbs, 2008 .

Identifying protein-protein interaction sites from surface residues-a support vector machine approac

Vasant Honavar, Drena Dobbs, Catherine Huafei Yan, 2004 .

Identification of Surface Residues Involved in Protein-Protein Interaction — A Support Vector Machine Approach

Vasant Honavar, Drena Dobbs, Changhui Yan, 2003 .

Privacy-Preserving Reasoning for Hypergraphical Knowledge Bases

Vasant Honavar, Giora Slutzki, Jie Bao, 2008 .

Adaptive Learning Rate Selection forBackpropagation

Vasant Honavar, NetworksJayathi Janakiraman, 1993 .

F-ALCI : A Fully Contextualized , Federated Logic for the Semantic Web

Vasant Honavar, Giora Slutzki, Jie Bao, 2008 .

Detection of gene orthology from gene co-expression and protein interaction networks

Vasant Honavar, M. Heather West Greenlee, Fadi Towfic, 2010 .

Distributed Reasoning with Modular Ontologies

Vasant Honavar, Giora Slutzki, Jie Bao, 2007 .

LMLFM: Longitudinal Multi-Level Factorization Machines

Vasant Honavar, Junjie Liang, Dongkuan Xu, 2019 .

A Polynomial Time Incremental Algorithm for Regular Grammar Inference

Rajesh Parekh, Vasant Honavar, Codrin M. Nichitiu, 1997 .

Identifying Interaction Sites in

Vasant Honavar, Robert L. Jernigan, Drena Dobbs, 2005 .

ANEXdb: an integrated animal ANnotation and microarray EXpression database

Vasant Honavar, Sushain Pandit, Jack Dekkers, 2009, Mammalian Genome.

DockRank: Ranking docked conformations using partner‐specific sequence homology‐based protein interface prediction

Vasant Honavar, Yasser El-Manzalawy, Drena Dobbs, 2014, Proteins.