List of works - Vasant Honavar

Visual Methods for Examining SVM Classifiers

Information Integration from Semantically Heterogeneous Biological Data Sources

article published in 2005

Efficient Markov Network Structure Discovery Using Independence Tests.

scientific article published on May 2009

Learning Classifiers from Large Databases Using Statistical Queries

Temporal Causality Analysis of Sentiment Change in a Cancer Survivor Network

scientific article

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

scientific article

Generative learning structures and processes for generalized connectionist networks

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

scientific article

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

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

scientific article published on 22 November 2019

Assessing the Performance of Macromolecular Sequence Classifiers

scholarly article published October 2007

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

scientific article

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

scientific article (publication date: 2007)

An analysis of conformational changes upon RNA-protein binding

article

Predicting Protective Linear B-Cell Epitopes Using Evolutionary Information

Learning Relational Bayesian Classifiers from RDF Data

An object oriented approach to simulating large communication networks

article by Armin R. Mikler et al published February 1998 in Journal of Systems and Software

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

article

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

Introduction to Systems Biology for Animal Scientists

article

An incremental learning algorithm with confidence estimation for automated identification of NDE signals

scientific article published in August 2004

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

article published in 2002

Unsupervised Learning of Probabilistic Context-Free Grammar using Iterative Biclustering

Scalable, updatable predictive models for sequence data

A framework for semantic web services discovery

article published in 2005

Quo Vadis — A framework for intelligent routing in large communication networks

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

scholarly article by Doina Caragea et al published 2005 in Lecture Notes in Computer Science

Learning in Presence of Ontology Mapping Errors

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

On Context-Specific Substitutability of Web Services

Partner‐specific Prediction of RNA‐binding Residues in Proteins: A Critical Assessment

scientific article published on 30 December 2018

A Tableau-Based Federated Reasoning Algorithm for Modular Ontologies

A framework for developing epitope prediction tools

article

Data-Driven Theory Refinement Using KBDistAl

Selecting and Composing Web Services through Iterative Reformulation of Functional Specifications

Annotating images and image objects using a hierarchical dirichlet process model

Personalized Sleep Parameters Estimation from Actigraphy: A Machine Learning Approach

scientific article published on 11 December 2019

Design and Implementation of a Query Planner for Data Integration

BenSOA: A flexible service-oriented architecture for power system asset management

Combining Super-Structuring and Abstraction on Sequence Classification

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

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

scientific article published in 1992

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

scholarly article published 2011

Lightweight agents for intrusion detection

Analysis of Protein Protein Dimeric Interfaces

Transportability from Multiple Environments with Limited Experiments

scientific article published in January 2013

Complexes of on-line self assembly

Discovery informatics in biological and biomedical sciences: research challenges and opportunities

scientific article published on January 1, 2015

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

article by Jia Tao et al published 2010 in Lecture Notes in Computer Science

List of works by Vasant Honavar

Visual Methods for Examining SVM Classifiers

Information Integration from Semantically Heterogeneous Biological Data Sources

Efficient Markov Network Structure Discovery Using Independence Tests.

Learning Classifiers from Large Databases Using Statistical Queries

Temporal Causality Analysis of Sentiment Change in a Cancer Survivor Network

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

Generative learning structures and processes for generalized connectionist networks

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

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

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

Assessing the Performance of Macromolecular Sequence Classifiers

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

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

An analysis of conformational changes upon RNA-protein binding

Predicting Protective Linear B-Cell Epitopes Using Evolutionary Information

Learning Relational Bayesian Classifiers from RDF Data

An object oriented approach to simulating large communication networks

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

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

Introduction to Systems Biology for Animal Scientists

An incremental learning algorithm with confidence estimation for automated identification of NDE signals

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

Unsupervised Learning of Probabilistic Context-Free Grammar using Iterative Biclustering

Scalable, updatable predictive models for sequence data

A framework for semantic web services discovery

Quo Vadis — A framework for intelligent routing in large communication networks

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

Learning in Presence of Ontology Mapping Errors

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

On Context-Specific Substitutability of Web Services

Partner‐specific Prediction of RNA‐binding Residues in Proteins: A Critical Assessment

A Tableau-Based Federated Reasoning Algorithm for Modular Ontologies

A framework for developing epitope prediction tools

Data-Driven Theory Refinement Using KBDistAl

Selecting and Composing Web Services through Iterative Reformulation of Functional Specifications

Annotating images and image objects using a hierarchical dirichlet process model

Personalized Sleep Parameters Estimation from Actigraphy: A Machine Learning Approach

Design and Implementation of a Query Planner for Data Integration

BenSOA: A flexible service-oriented architecture for power system asset management

Combining Super-Structuring and Abstraction on Sequence Classification

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

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

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

Lightweight agents for intrusion detection

Analysis of Protein Protein Dimeric Interfaces

Transportability from Multiple Environments with Limited Experiments

Complexes of on-line self assembly

Discovery informatics in biological and biomedical sciences: research challenges and opportunities

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

Learning DFA from simple examples