Vasant Honavar

Q: What Schools Are Affiliated With Vasant Honavar

Vasant Honavar is affiliated with the following schools: Bangalore University, Iowa State University, Drexel University, University of Wisconsin–Madison, Pennsylvania State University, North Dakota State University, University of Georgia

Vasant Honavar's AcademicInfluence.com Rankings

Vasant Honavar

Computer Science

#2038

World Rank

#2117

Historical Rank

#944

USA Rank

Data Mining

#80

World Rank

#80

Historical Rank

#16

USA Rank

Machine Learning

#479

World Rank

#485

Historical Rank

#70

USA Rank

Artificial Intelligence

#753

World Rank

#765

Historical Rank

#176

USA Rank

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Computer Science

Why Is Vasant Honavar Influential?

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According to Wikipedia, Vasant G. Honavar is an Indian born American computer scientist, and artificial intelligence, machine learning, big data, data science, causal inference, knowledge representation, bioinformatics and health informatics researcher and professor.

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Vasant Honavar's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Feature Subset Selection Using a Genetic Algorithm (1998) (1566)
Learn++: an incremental learning algorithm for supervised neural networks (2001) (869)
Mobile health technology evaluation: the mHealth evidence workshop. (2013) (800)
Predicting linear B‐cell epitopes using string kernels (2008) (610)
Predicting RNA-Protein Interactions Using Only Sequence Information (2011) (359)
Constructive neural-network learning algorithms for pattern classification (2000) (241)
Predicting flexible length linear B-cell epitopes. (2008) (185)
Prediction of RNA binding sites in proteins from amino acid sequence. (2006) (180)
RNABindR: a server for analyzing and predicting RNA-binding sites in proteins (2007) (177)
Intelligent agents for intrusion detection (1998) (174)
Lightweight agents for intrusion detection (2003) (171)
Recent advances in B-cell epitope prediction methods (2010) (161)
Learning classifiers for misuse and anomaly detection using a bag of system calls representation (2005) (159)
Glycosylation site prediction using ensembles of Support Vector Machine classifiers (2007) (154)
A two-stage classifier for identification of protein-protein interface residues (2004) (151)
Predicting DNA-binding sites of proteins from amino acid sequence (2006) (151)
A Software Fault Tree Approach to Requirements Analysis of an Intrusion Detection System (2002) (141)
Characterization of Protein–Protein Interfaces (2008) (139)
A framework for semantic web services discovery (2005) (137)
Computational prediction of protein interfaces: A review of data driven methods (2015) (130)
Evolutionary Design of Neural Architectures -- A Preliminary Taxonomy and Guide to Literature (1995) (127)
PRIDB: a protein–RNA interface database (2010) (116)
A Proteomic Analysis of Maize Chloroplast Biogenesis1 (2004) (109)
A Framework for Learning from Distributed Data Using Sufficient Statistics and Its Application to Learning Decision Trees (2004) (97)
HomPPI: a class of sequence homology based protein-protein interface prediction methods (2011) (96)
Automated discovery of concise predictive rules for intrusion detection (2002) (94)
Predicting protein-protein interface residues using local surface structural similarity (2012) (94)
Temporal Boolean Network Models of Genetic Networks and their Inference from Gene Expression Time Series (2001) (87)
RNABindRPlus: A Predictor that Combines Machine Learning and Sequence Homology-Based Methods to Improve the Reliability of Predicted RNA-Binding Residues in Proteins (2014) (87)
Efficient Markov Network Structure Discovery using Independence Tests (2006) (85)
Information extraction and integration from heterogeneous, distributed, autonomous information sources - a federated ontology-driven query-centric approach (2003) (81)
Ontology-Driven Induction of Decision Trees at Multiple Levels of Abstraction (2002) (80)
Discriminatively trained Markov model for sequence classification (2005) (80)
DistAl: an inter-pattern distance-based constructive learning algorithm (1998) (80)
Protein-RNA interface residue prediction using machine learning: an assessment of the state of the art (2012) (80)
Learning Classifiers Using Hierarchically Structured Class Taxonomies (2005) (79)
Generative learning structures and processes for generalized connectionist networks (1993) (75)
Grammar Inference Automata Induction and Language Acquisition (2005) (74)
Learning accurate and concise naïve Bayes classifiers from attribute value taxonomies and data (2006) (73)
Adversarial Attacks on Graph Neural Networks via Node Injections: A Hierarchical Reinforcement Learning Approach (2020) (73)
On the Semantics of Linking and Importing in Modular Ontologies (2006) (73)
Books-Received - Artificial Intelligence and Neural Networks - Steps Toward Principled Integration (1994) (72)
Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources (2001) (72)
Package-Based Description Logics (2009) (72)
On sensor evolution in robotics (1996) (70)
Intelligent Diagnosis Systems (1998) (70)
Mixture of experts models to exploit global sequence similarity on biomolecular sequence labeling (2009) (68)
Learning decision tree classifiers from attribute value taxonomies and partially specified data (2003) (68)
Software fault tree and coloured Petri net-based specification, design and implementation of agent-based intrusion detection systems (2007) (68)
Learning DFA from Simple Examples (1997) (66)
Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality (2019) (65)
On Context-Specific Substitutability of Web Services (2007) (63)
Annotating images and image objects using a hierarchical dirichlet process model (2008) (63)
Decision Tree Induction from Distributed Heterogeneous Autonomous Data Sources (2003) (60)
Gaining insights into support vector machine pattern classifiers using projection-based tour methods (2001) (58)
On Evaluating MHC-II Binding Peptide Prediction Methods (2008) (57)
A Multi-relational Decision Tree Learning Algorithm - Implementation and Experiments (2003) (56)
Animal trait ontology: The importance and usefulness of a unified trait vocabulary for animal species. (2008) (55)
Towards Collaborative Environments for Ontology Construction and Sharing (2006) (54)
Distributed knowledge networks (1998) (54)
Modular Ontologies - A Formal Investigation of Semantics and Expressivity (2006) (53)
Learning Classifiers for Misuse Detection Using a Bag of System Calls Representation (2005) (53)
Modeling Web Services by Iterative Reformulation of Functional and Non-functional Requirements (2006) (52)
Constructive Neural Network Learning Algorithms for Multi-Category Real-Valued Pattern Classification (1997) (52)
Constructive Neural Network Learning Algorithms for Multi-Category Pattern Classification (1995) (52)
Condition Data Aggregation with Application to Failure Rate Calculation of Power Transformers (2006) (50)
iScore: a novel graph kernel-based function for scoring protein–protein docking models (2018) (49)
Advances in the Evolutionary Synthesis of Intelligent Agents (2001) (46)
LEARN++: an incremental learning algorithm for multilayer perceptron networks (2000) (45)
Parallel Web Service Composition in MoSCoE: A Choreography-Based Approach (2006) (45)
Intelligent mobile agents for information retrieval and knowledge discovery from distributed data and knowledge sources (1998) (44)
Exploring inconsistencies in genome-wide protein function annotations: a machine learning approach (2007) (44)
An incremental learning algorithm with confidence estimation for automated identification of NDE signals (2004) (44)
Experiments with the cascade-correlation algorithm (1991) (44)
Struct-NB: predicting protein-RNA binding sites using structural features (2010) (44)
Collaborative Ontology Building with Wiki@nt - A Multi-agent Based Ontology Building Environment (2004) (43)
Ontology-Driven Information Extraction and Knowledge Acquisition from Heterogeneous, Distributed, Autonomous Biological Data Sources (2001) (42)
Privacy-Preserving Reasoning on the SemanticWeb (2007) (42)
Automated data-driven discovery of motif-based protein function classifiers (2003) (42)
Towards the automatic generation of mobile agents for distributed intrusion detection system (2006) (41)
A Service-Oriented Architecture for Electric Power Transmission System Asset Management (2006) (40)
A Semantic Importing Approach to Knowledge Reuse from Multiple Ontologies (2007) (40)
Min-redundancy and max-relevance multi-view feature selection for predicting ovarian cancer survival using multi-omics data (2018) (40)
MEGAN: A Generative Adversarial Network for Multi-View Network Embedding (2019) (39)
Symbolic Artificial Intelligence and Numeric Artificial Neural Networks: Towards A Resolution of the Dichotomy (1995) (39)
Dominance Testing via Model Checking (2010) (38)
Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information Sources (2005) (38)
Learning Classifiers from Semantically Heterogeneous Data (2004) (38)
Properties of Genetic Representations of Neural Architectures. (1995) (38)
Information Integration and Knowledge Acquisition from Semantically Heterogeneous Biological Data Sources (2005) (38)
MoSCoE: A Framework for Modeling Web Service Composition and Execution (2006) (37)
Mobile Intelligent Agents for Document Classification and Retrieval: A Machine Learning Approach (1998) (37)
Unambiguity Regularization for Unsupervised Learning of Probabilistic Grammars (2012) (37)
Web Service Substitution Based on Preferences Over Non-functional Attributes (2009) (37)
Improving Image Captioning by Leveraging Knowledge Graphs (2019) (36)
Multiagent system solutions for distributed computing, communications, and data integration needs in the power industry (2003) (35)
A Tableau-Based Federated Reasoning Algorithm for Modular Ontologies (2006) (35)
An Incremental Interactive Algorithm for Regular Grammar Inference (1996) (34)
Identification of interface residues in protease-inhibitor and antigen-antibody complexes: a support vector machine approach (2004) (33)
A Polynominal Time Incremental Algorithm for Learning DFA (1998) (32)
A neural-network architecture for syntax analysis (1999) (32)
ANEXdb: an integrated animal ANnotation and microarray EXpression database (2009) (32)
Generation of attribute value taxonomies from data for data-driven construction of accurate and compact classifiers (2004) (32)
Automata Induction, Grammar Inference, and Language Acquisition (2000) (31)
SMART mobile agent facility (2001) (31)
Identification of Surface Residues Involved in Protein-Protein Interaction — A Support Vector Machine Approach (2003) (31)
TCP-Compose* - A TCP-Net Based Algorithm for Efficient Composition of Web Services Using Qualitative Preferences (2008) (31)
Improving Convergence of Back-Propagation by Handling Flat-Spots in the Output Layer (1992) (30)
MOSCOE: an Approach for Composing Web Services through Iterative Reformulation of Functional Specifications (2008) (30)
A Distributed Tableau Algorithm for Package-based Description Logics (2006) (30)
Transportability from Multiple Environments with Limited Experiments (2013) (29)
Collaborative Ontology Building with Wiki@nt (2004) (29)
Generative learning structures for generalized connectionist networks (1990) (29)
Learning classifiers from distributed, semantically heterogeneous, autonomous data sources (2004) (29)
Predicting binding sites of hydrolase-inhibitor complexes by combining several methods (2004) (29)
Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence (2009) (29)
Modeling Web service composition using symbolic transition systems (2006) (28)
Is the hippocampus a Kalman filter? (1998) (28)
In Silico Prediction of Linear B-Cell Epitopes on Proteins. (2017) (27)
AVT-NBL: an algorithm for learning compact and accurate naive Bayes classifiers from attribute value taxonomies and data (2004) (27)
Detection and identification of odorants using an electronic nose (2001) (27)
A user similarity-based Top-N recommendation approach for mobile in-application advertising (2018) (27)
DockRank: Ranking docked conformations using partner‐specific sequence homology‐based protein interface prediction (2014) (27)
Mobile Health Technology Evaluation (2016) (27)
Ontology-Extended Component-Based Workflows : A Framework for Constructing Complex Workflows from Semantically Heterogeneous Software Components (2004) (26)
Visual Methods for Examining SVM Classifiers (2008) (26)
The Promise and Potential of Big Data: A Case for Discovery Informatics (2014) (25)
Aligning Biomolecular Networks Using Modular Graph Kernels (2009) (25)
Brain-structured Connectionist Networks that Perceive and Learn (1989) (25)
On Learning Causal Models from Relational Data (2016) (25)
Node Injection Attacks on Graphs via Reinforcement Learning (2019) (25)
Predicting MHC-II Binding Affinity Using Multiple Instance Regression (2011) (24)
A Polynomial Time Incremental Algorithm for Regular Grammar Inference (1997) (24)
Integration of Domain-Specific and Domain-Independent Ontologies for Colonoscopy Video Database Annotation (2004) (24)
Spatial Learning and Localization in Rodents: A Computational Model of the Hippocampus and its Implications for Mobile Robots (1999) (24)
m-Transportability: Transportability of a Causal Effect from Multiple Environments (2013) (24)
Evolutionary Design of Neural Architectures (1995) (23)
Learning Classifiers for Assigning Protein Sequences to Gene Ontology Functional Families (2004) (23)
Proceedings of the Genetic and Evolutionary Computation Conference (2021) (23)
A Tool for Collaborative Construction of Large Biological Ontologies (2006) (23)
On the Utility of Curricula in Unsupervised Learning of Probabilistic Grammars (2011) (22)
Optimization of Classifiers Using Genetic Algorithms (2001) (22)
Selecting and Composing Web Services through Iterative Reformulation of Functional Specifications (2006) (22)
Detection of gene orthology from gene co-expression and protein interaction networks (2010) (22)
Algorithmic Bias in Recidivism Prediction: A Causal Perspective (2019) (22)
MTiling A Constructive Neural Network Learning Algorithm for Multi Category Pattern Classi cation (1996) (20)
Learning Relational Bayesian Classifiers from RDF Data (2011) (20)
Data-Driven Generation of Decision Trees for Motif-Based Assignment of Protein Sequences to Functional Families (2000) (20)
Multi-Instance Multi-Label Learning for Image Classification with Large Vocabularies (2011) (20)
Combining Super-Structuring and Abstraction on Sequence Classification (2009) (20)
A multiagent system infrastructure and negotiation framework for electric power systems (2001) (19)
Unsupervised Learning of Probabilistic Context-Free Grammar using Iterative Biclustering (2008) (19)
Personalized Sleep Parameters Estimation from Actigraphy: A Machine Learning Approach (2019) (19)
Coordination and control structures and processes: possibilities for connectionist networks (CN) (1990) (19)
Generation, Local Receptive Fields and Global Convergence Improve Perceptual Learning in Connectionist Networks (1989) (19)
Multinomial Event Model Based Abstraction for Sequence and Text Classification (2005) (19)
MUpstart-a constructive neural network learning algorithm for multi-category pattern classification (1997) (19)
Representing and Reasoning with Qualitative Preferences for Compositional Systems (2011) (19)
Toward learning systems that integrate multiple strategies and representations (1994) (18)
Integrating Symbol Processing Systems and Connectionist Networks (1995) (18)
Assessing the Performance of Macromolecular Sequence Classifiers (2007) (18)
Big Data, Data Science, and Civil Rights (2017) (18)
Analysis of Neurocontrollers Designed by Simulated Evolution (1995) (18)
AN EMPIRICAL COMPARISON OF FLAT � SPOT ELIMINATION TECHNIQUES IN BACK � PROPAGATION NETWORKS (1992) (17)
Learning Ontology-Aware Classifiers (2005) (17)
On the Relationship between Models for Learning in Helpful Environments (2000) (17)
Semi-supervised prediction of protein subcellular localization using abstraction augmented Markov models (2010) (16)
Ontology Language Extensions to Support Localized Semantics, Modular Reasoning, and Collaborative Ontology Design and Ontology Reuse (2004) (16)
Learning Support Vector Machines from Distributed Data Sources (2005) (16)
Secrecy-Preserving Query Answering for Instance Checking in EL\mathcal{EL} (2010) (16)
Multiagent system solutions for distributed computing, communications, and data integration needs in the power industry (2003) (16)
Analysis of Decision Boundaries Generated by Constructive Neural Network Learning Algorithms (1995) (16)
Towards simple, easy-to-understand, yet accurate classifiers (2003) (16)
Multi-view Network Embedding via Graph Factorization Clustering and Co-regularized Multi-view Agreement (2018) (16)
Discovering Protein Function Classification Rules from Reduced Alphabet Representations of Protein Sequences (2002) (16)
Learning from Attribute Value Taxonomies and Partially Specified Instances (2003) (16)
Template-based protein–protein docking exploiting pairwise interfacial residue restraints (2016) (16)
Temporal Causality Analysis of Sentiment Change in a Cancer Survivor Network (2016) (15)
Information Integration from Semantically Heterogeneous Biological Data Sources (2005) (15)
Constructive learning: inducing grammars and neural networks (1998) (15)
FastRNABindR: Fast and Accurate Prediction of Protein-RNA Interface Residues (2016) (15)
Predicting Protective Linear B-Cell Epitopes Using Evolutionary Information (2008) (15)
Multiple label prediction for image annotation with multiple Kernel correlation models (2009) (15)
Object-oriented data warehouse for information fusion from heterogeneous distributed data and knowledge sources (1998) (15)
Assembling Composite Web Services from Autonomous Components (2007) (15)
Principles of Artificial Intelligence Fall 2005 Handout (15)
Constructive theory refinement in knowledge based neural networks (1998) (15)
An incremental interactive algorithm for grammar inference (1996) (14)
Feature Subset Selection Using a Genetic Algorithm Feature Subset Selection Using a Genetic Algorithm (1998) (14)
Analysis of Utility-Theoretic Heuristics for Intelligent Adaptive Network Routing (1996) (14)
Predicting the Binding Patterns of Hub Proteins: A Study Using Yeast Protein Interaction Networks (2013) (14)
A Conceptual Framework for Secrecy-preserving Reasoning in Knowledge Bases (2014) (14)
Combined Biological Metaphors (2001) (14)
Inductive learning using generalized distance measures (1992) (14)
Toward Learning Systems That Integrate Different Strategies and Representations (1993) (14)
Experimental Comparison of Feature Subset Selection Using GA and ACO Algorithm (2006) (14)
Feature Selection Using a Genetic Algorithm for Intrusion Detection (1999) (14)
Predicting Protein-Protein Interaction Sites From Amino Acid Sequence (2002) (14)
Two-dimensional hybrid organic–inorganic perovskites as emergent ferroelectric materials (2020) (13)
Handbook of Natural Language Processing (1998) (13)
Sleep/wake state prediction and sleep parameter estimation using unsupervised classification via clustering (2017) (13)
Inter-element dependency models for sequence classification (2004) (13)
Integrated Decision Algorithms for Auto-steered Electric Transmission System Asset Management (2007) (13)
Perceptual Development and Learning: From Behavioral, Neurophysiological, and Morphological Evidence To Computational Models (1989) (13)
On Utilizing Qualitative Preferences in Web Service Composition: A CP-net Based Approach (2008) (13)
Accelerating Science: A Computing Research Agenda (2016) (13)
TRIPPER: Rule Learning Using Taxonomies (2006) (13)
A Computational Model of Rodent Spatial Learning and Some Behavioral Experiments (1998) (13)
Efficient Learning of Regular Languages Using Teacher-Supplied Positive Samples and Learner-Generated Queries (1993) (13)
Machine Learning in Computational Biology (2009) (13)
Building classifier ensembles for B-cell epitope prediction. (2014) (13)
PlasmoSEP: Predicting surface-exposed proteins on the malaria parasite using semisupervised self-training and expert-annotated data (2016) (13)
Evolutionary and Neural Synthesis of Intelligent Agents (2001) (13)
Advances in Artificial Intelligence Require Progress Across all of Computer Science (2017) (12)
Model Checking of Qualitative Sensitivity Preferences to Minimize Credential Disclosure (2012) (12)
Evolving Heterogeneous Neural Agents by Local Selection (2001) (12)
Generatlve Learning Structures and Processes for Connectionist Networks (1993) (12)
Comparison of performance of variants of single-layer perceptron algorithms on nonseparable data (2000) (12)
An object oriented approach to simulating large communication networks (1998) (12)
Biomarker discovery in inflammatory bowel diseases using network-based feature selection (2019) (12)
Clustering remote RDF data using SPARQL update queries (2013) (12)
Coordination of distributed knowledge networks using contract net protocol (1998) (11)
Divide and Conquer Semantic Web with Modular Ontologies - A Brief Review of Modular Ontology Language Formalisms (2006) (11)
Methods for transcriptomic analyses of the porcine host immune response: application to Salmonella infection using microarrays. (2010) (11)
A negotiation model in agent-mediated electronic commerce (2000) (11)
Warehousing Structured and Unstructured Data for Data Mining. (1997) (11)
Machine learning: Principles and applications (1999) (11)
Characterization of ProteinProtein Interfaces (2008) (11)
Analysis of Protein Protein Dimeric Interfaces (2007) (11)
GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, New York, USA, 9-13 July 2002 (2002) (11)
Artificial Intelligence : An Overview (2014) (11)
Efficient Dominance Testing for Unconditional Preferences (2010) (11)
Causal Transportability of Experiments on Controllable Subsets of Variables: z-Transportability (2013) (10)
Automata-Based Verification of Security Requirements of Composite Web Services (2010) (10)
A Characterization of Markov Equivalence Classes of Relational Causal Models under Path Semantics (2016) (10)
Verifying Intervention Policies to Counter Infection Propagation over Networks: A Model Checking Approach (2011) (10)
Constructive Neural Network Learning Algorithms (1996) (10)
Data-driven theory refinement algorithms for bioinformatics (1999) (10)
Package-Based Description Logics - Preliminary Results (2006) (10)
Evolutionary Synthesis of Bayesian Networks for Optimization (2001) (10)
Development in Neural Networks (2001) (10)
Discovering Web Services over the Semantic Web (2005) (10)
Sequence-Based Prediction of RNA-Binding Residues in Proteins. (2017) (10)
Striking Similarities in Diverse Telomerase Proteins Revealed by Combining Structure Prediction and Machine Learning Approaches (2007) (10)
RNBL-MN: A Recursive Naive Bayes Learner for Sequence Classification (2006) (10)
Ranking docked models of protein-protein complexes using predicted partner-specific protein-protein interfaces: a preliminary study (2011) (10)
Introduction to Systems Biology for Animal Scientists (2011) (10)
Feature subset selection for rule induction using RIPPER (1999) (10)
FARE: Enabling Fine-grained Attack Categorization under Low-quality Labeled Data (2021) (9)
Quo Vadis - A Framework for Intelligent Routing in Large Communication Networks (1997) (9)
Attribute Value Taxonomy Generation through Matrix Based Adaptive Genetic Algorithm (2008) (9)
A Multiagent Security Economy Decision Support Infrastructure for Deregulated Electric Power Systems (2002) (9)
Toward personalized sleep-wake prediction from actigraphy (2018) (9)
Learning Classifiers from Large Databases Using Statistical Queries (2008) (9)
Characterization of the retinal proteome during rod photoreceptor genesis (2010) (9)
Self-Discrepancy Conditional Independence Test (2017) (9)
DFA Learning from Simple Examples (2001) (9)
Exemplar-based Robust Coherent Biclustering (2011) (9)
Representing and Reasoning with Modular Ontologies (2006) (9)
Composing Web Services through Automatic Reformulation of Service Specifications (2008) (9)
Representing and Reasoning with Qualitative Preferences: Tools and Applications (2016) (8)
Identifying protein-protein interaction sites from surface residues-a support vector machine approac (2004) (8)
LMLFM: Longitudinal Multi-Level Factorization Machine (2019) (8)
Spatial Learning and Localization in Animals: A Computational Model and Behavioral Experiments (1998) (8)
Pruning strategies for the MTiling constructive learning algorithm (1997) (8)
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 (2006) (8)
Integration of cognitive systems across disciplinary boundaries (1999) (8)
Some Biases for EfficientLearning of Spatial, Temporal, and Spatio-Temporal Patterns (1992) (7)
Intelligent Diagnosis (1998) (7)
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 (2007) (7)
A Neural Architecture for Content as well as Address-based Storage and Recall: Theory and Applications (1995) (7)
Quo Vadis - Adaptive Heuristics for Routing in Large Communication Networks (1995) (7)
Temporal Causality of Social Support in an Online Community for Cancer Survivors (2015) (7)
Metadata Repository (2009) (7)
Generation of Attribute Value Taxonomies from Data and Their Use in Data-Driven Construction of Accurate and Compact Naive Bayes Classifiers (2004) (7)
Visualization for Classification Problems , with Examples Using Support Vector Machines (2002) (7)
Predicting protective bacterial antigens using random forest classifiers (2012) (7)
Towards Robust Relational Causal Discovery (2019) (7)
Using a Seed-Network to Query Multiple Large-Scale Gene Expression Datasets from the Developing Retina in Order to Identify and Prioritize Experimental Targets (2008) (7)
Identifying Interaction Sites in (2005) (7)
Evolutionary Neurogenesis Applied to Mobile Robotics (2001) (7)
A Causal Lens for Peeking into Black Box Predictive Models: Predictive Model Interpretation via Causal Attribution (2020) (7)
PSPACE Tableau Algorithms for Acyclic Modalized $\boldsymbol{\mathcal{ALC}}$ (2011) (7)
Verifying Preferential Equivalence and Subsumption via Model Checking (2013) (7)
Auto-steered Information-Decision Processes for Electric System Asset Management (2006) (7)
Longitudinal Deep Kernel Gaussian Process Regression (2020) (7)
Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time Intervals (2020) (6)
Feeding the machine: Challenges to reproducible predictive modeling in resting-state connectomics (2021) (6)
Adapt OWL as a Modular Ontology Language (2006) (6)
Visualization for classification problems (2004) (6)
A framework for developing epitope prediction tools (2010) (6)
Learning Relational Bayesian Classifiers on the Semantic Web (2006) (6)
Learning Parsimonious Representations of Three-Dimensional Shapes (1992) (6)
Visual Methods for Examining Support Vector Machine Results, with Applications to Gene Expression Data Analysis (2005) (6)
MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio (2009) (6)
Data-Driven Theory Refinement Using KBDistAl (1999) (6)
Ontology-guided Extraction of Complex Nested Relationships (2010) (6)
Detection of Gene Orthology Based on Protein-Protein Interaction Networks (2009) (6)
Abstraction Augmented Markov Models (2010) (6)
Multi-Agent Negotiation Models for Power System Applications (2003) (6)
Adaptive learning rate for increasing learning speed in backpropagation networks (1993) (6)
Biologically inspired computational structures and processes for autonomous agents and robots (1998) (6)
Data-Driven Discovery of Protein Function Classifiers: Decision Trees Based on MEME Motifs outperform PROSITE Patterns and Profiles on Peptidase Families (2002) (6)
Microbiomarkers Discovery in Inflammatory Bowel Diseases using Network-Based Feature Selection (2018) (6)
A Simple Randomized Quantization Algorithm for Neural Network Pattern Classifiers (1996) (6)
Learning Classifiers from Chains of Multiple Interlinked RDF Data Stores (2013) (6)
Learning Classifiers from Distributed Data Sources (2009) (6)
Preference Based Service Adaptation Using Service Substitution (2013) (5)
Learning Decision Trees from Multi-Relational Data (2003) (5)
Pruning strategies for constructive neural network learning algorithms (1997) (5)
Learning Link-Based Classifiers from Ontology-Extended Textual Data (2009) (5)
Failure Analysis for Composition of Web Services Represented as Labeled Transition Systems (2010) (5)
Structure-based prediction of protein-protein interaction sites (2012) (5)
Recognition Cones: A neuronal architecture for perception and learning (1987) (5)
Learning in open-ended environments: Distributed learning and incremental learning (2001) (5)
Exploring innovative methods to evaluate the efficacy and safety of mobile health (2013) (5)
Unsupervised learning of probabilistic grammars (2012) (5)
Learning Naive Bayes Classifiers From Attribute Value Taxonomies and Partially Specified Data (2004) (5)
Lifted Representation of Relational Causal Models Revisited: Implications for Reasoning and Structure Learning (2015) (5)
Top-N-Rank: A Scalable List-wise Ranking Method for Recommender Systems (2018) (5)
The Virtual Data Collaboratory: A Regional Cyberinfrastructure for Collaborative Data-Driven Research (2020) (5)
Autonomous agents for coordinated distributed parameterized heuristic routing in large dynamic communication networks (2001) (5)
Identifying and Eliminating Inconsistencies in Mappings across Hierarchical Ontologies (2010) (5)
A kernel conditional independence test for relational data (2017) (5)
Learning Decision Tree Classifiers When Classes are not Mutually Exclusive (2002) (5)
Learning Classifiers from Distributed, Ontology-Extended Data Sources (2006) (5)
An Object Oriented Approach to Modeling and Simulation of Routing in Large Communication Networks (1995) (5)
SrVARM: State Regularized Vector Autoregressive Model for Joint Learning of Hidden State Transitions and State-Dependent Inter-Variable Dependencies from Multi-variate Time Series (2021) (5)
Query Translation for Ontology-extended Data Sources (2007) (5)
Supporting organizational knowledge management with agents (2000) (5)
Data-Driven Discovery of Rules for Protein Function Classification Based on Sequence Motifs (2003) (5)
Scalable, updatable predictive models for sequence data (2010) (5)
Adaptive Structural Co-regularization for Unsupervised Multi-view Feature Selection (2019) (5)
Evolving Neuro-Controllers and Sensors for Artificial Agents (2001) (5)
Commuting Network Spillovers and COVID-19 Deaths Across US Counties (2020) (5)
Power System Security Margin Prediction Using Radial Basis Function Networks (1997) (5)
Statistics Gathering for Learning from Distributed, Heterogeneous and Autonomous Data Sources (2003) (4)
Use of machine learning algorithms to classify binary protein sequences as highly-designable or poorly-designable (2008) (4)
On the Decidability of Role Mappings between Modular Ontologies (2008) (4)
CRISNER: A Practically Efficient Reasoner for Qualitative Preferences (2015) (4)
Identifying Sustainable Designs Using Preferences over Sustainability Attributes (2011) (4)
Secrecy-Preserving Reasoning Over Entailment Systems: Theory and Applications (2008) (4)
Generating AVTs Using GA for Learning Decision Tree Classifiers with Missing Data (2004) (4)
A multiagent systems approach for managing dynamic information and decisions in competitive electric (2000) (4)
Learning concise and accurate na?ve bayes classifiers from attribute value taxonomies and data (2004) (4)
Federated ALCI: Preliminary Report (2008) (4)
Simple DFA are Polynomially Probably Exactly Learnable from Simple Examples (1999) (4)
From Evolving a Single Neural Network to Evolving Neural Network Ensembles (2001) (4)
Learning Classifiers from Distributional Data (2013) (4)
Faster Learning in Multi-Layer Networks by Handling Output-Layer Flat-Spots (1992) (4)
Functional Autoencoders for Functional Data Representation Learning (2021) (4)
iScore: An MPI supported software for ranking protein–protein docking models based on a random walk graph kernel and support vector machines (2019) (4)
Decision tree learning from distributed data (2001) (4)
Dynamical Gaussian Process Latent Variable Model for Representation Learning from Longitudinal Data (2020) (4)
Learning Sequential Decision Tasks through Symbiotic Evolution of Neural Networks (2001) (4)
Interactive and verifiable web services composition, specification reformulation and substitution (2007) (4)
Grammatical Inference: 4th International Colloquium, ICGI-98, Ames, Iowa, USA, July 12-14, 1998, Proceedings (1998) (3)
An analysis of conformational changes upon RNA-protein binding (2014) (3)
Labeling actors in multi-view social networks by integrating information from within and across multiple views (2016) (3)
Experiments in Evolutionary Synthesis of Robotic Neurocontrollers (1996) (3)
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BenSOA: A flexible service-oriented architecture for power system asset management (2009) (3)
Spatial Memory Structures for Sensor-Guided Robot Navigation (1997) (3)
A Dominance Relation for Unconditional Multi-Attribute Preferences (2009) (3)
An Empirical Analysis Of The Expected Source Values Rule (1992) (3)
Machine Learning in Bioinformatics (2009) (3)
Structural characterization of RNA-binding sites of proteins: Preliminary results (2007) (3)
Goal Directed Adaptive Behavior in Second-Order Neural Networks: Learning and Evolving in the MAXSON Architecture (2001) (3)
Incremental and Distributed Learning with Support Vector Machines (2000) (3)
A Neural Memory Architecture for Content As Well As Address-Based Storage & Recall: Theory and Applications (1995) (3)
Learn++: An in-cremental learning algorithm for multilayer neural networks (2000) (3)
Collaborative Package-based Ontology Building and Usage (2005) (3)
Partner‐specific prediction of RNA‐binding residues in proteins: A critical assessment (2018) (3)
F-ALCI : A Fully Contextualized , Federated Logic for the Semantic Web (2008) (3)
Learning Classification Trees from Distributed Horizontally and Vertically Fragmented Data Sets (2000) (3)
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A Neural Network Architecture for High-Speed Database Query Processing (1995) (3)
Spatial Learning for Robot Locialization (1997) (3)
Knowledge Acquisition from Semantically Heterogeneous Data (2009) (3)
Advanced Cyberinfrastructure for Science, Engineering, and Public Policy (2017) (2)
A PSpace Tableau Algorithm for Acyclic Modalized ALC (2010) (2)
Lightweight agents for intrusion detection q (2002) (2)
Evolution and Learning in Radial Basis Function Neural Networks - A Hybrid Approach (2001) (2)
On the utility of abstraction in labeling actors in social networks (2013) (2)
Learning Decision Trees form Distributed Heterogeneous Autonomous Data (2003) (2)
Subset Selection Using a Genetic Algorithm (2017) (2)
Neural network design and the complexity of learning, by J. Stephen Judd. Cambridge, MA: MIT Press, 1990 (1992) (2)
Labeling Actors in Social Networks Using a Heterogeneous Graph Kernel (2014) (2)
Toward Learning Systems That Integrate Diierent Strategies and Representations toward Learning Systems That Integrate Diierent Strategies and Representations (1994) (2)
Towards Semantics-Enabled Distributed Infrastructure for Knowledge Acquisition (2008) (2)
Multimodal Databases (2009) (2)
Zooming Into the Darknet: Characterizing Internet Background Radiation and its Structural Changes (2021) (2)
A Software Fault Tree Approa h to Requirements Analysis of anIntrusion Dete tion (2000) (2)
Symbolic Artificial Intelligence, Connectionist Networks & Beyond. (1994) (2)
A Semantic Importing Approach to Reusing Knowledge from Multiple Autonomous Ontology Modules (2007) (2)
Proceedings of the 1st Annual Conference on Genetic and Evolutionary Computation - Volume 2 (1999) (2)
Utility-Theoretic Heuristics for Intelligent Adaptive Routing in Large Communcation Networks (1995) (2)
Ontology elicitation: Structural Abstraction = Structuring + Abstraction + Multiple Ontologies (2003) (2)
Reconciling Inconsistencies Between Package-extended Ontology Modules (2005) (2)
MICCLLR: A Generalized Multiple-Instance Learning Algorithm Using Class Conditional Log Likelihood Ratio (2007) (2)
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Design and Implementation of a Query Planner for Data Integration (2009) (2)
Minimum Intervention Cover of a Causal Graph (2019) (2)
Learning in Presence of Ontology Mapping Errors (2010) (2)
An empirical comparison of the performance so single-layer algorithms for training threshold logic units (2000) (2)
A Graphical Model for Shallow Parsing Sequences (2004) (1)
Learning predictive models from massive, semantically disparate data (2011) (1)
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Simple Stochastic Temporal Constraint Networks (1995) (1)
Using Global Sequence Similarity to Enhance Biological Sequence Labeling (2008) (1)
Distributed Reasoning with Modular Ontologies (2007) (1)
Book Review:Neural Network Design and the Complexity of Learning, by J. Stephen Judd. Cambridge, MA: MIT Press, 1990 (1992) (1)
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A Neural Network Architecture for a High-Speed Database (2007) (1)
Independence, Decomposability and Functions which Take Values into an Abelian Group (2006) (1)
Programming is writing: why programs must be carefully evaluated (1998) (1)
Programming is Writing: Why Student Programs must be Carefully Read (1998) (1)
Co-Evolution and Ontogenetic Change in Competing Robots (2001) (1)
Package-based Description Logics: Syntax, Semantics and Complexity (2008) (1)
Combining Abstraction and SuperStructuring on Macromolecular Sequence Classification (2009) (1)
Representation and Learning of Spatial Maps (2000) (1)
An Efficient Interactive Algorithm for Regular Language Learning (1995) (1)
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Machine learning in clinical care: Quo vadis? (2019) (1)
B-cell Ligand Processing Pathways Detected by Large-scale Comparative Analysis (2012) (1)
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BioNetwork Bench: Database and Software for Storage, Query, and Analysis of Gene and Protein Networks (2012) (1)
Constructive Learning and Structural Learning (1999) (1)
Protein-RNA interface residue prediction using machine learning: an assessment of the state of the art (2012) (1)
1 ACCELERATING SCIENCE : A COMPUTING RESEARCH AGENDA (2016) (1)
A modular method to predict protein-protein interaction patches (2010) (1)
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Compositional Stochastic Average Gradient for Machine Learning and Related Applications (2018) (1)
Boundaries of Safe, Twilight, and Dark Zones used by HomPRIP. (2014) (1)
Shedding light into the darknet: scanning characterization and detection of temporal changes (2021) (1)
Abstraction Super-Structuring Normal Forms: Towards a Theory of Structural Induction (2011) (1)
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A General Strategy for Knowledge Acquisition from Semantically Heterogeneous Data Sources (2006) (1)
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Structural induction: towards automatic ontology elicitation (2008) (1)
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Learning classifiers from remote RDF data stores augmented with RDFS subclass hierarchies (2015) (1)
Learning Link-Based Naïve Bayes Classifiers from Ontology-Extended Distributed Data (2009) (1)
Detecting and Interpreting Changes in Scanning Behavior in Large Network Telescopes (2022) (1)
Toward Semantics-Enabled Infrastructure for Knowledge Acquisition from Distributed Data (2008) (1)
Privacy-Preserving Reasoning for Hypergraphical Knowledge Bases (2008) (1)
Cellular Encoding for Interactive Evolutionary Robotics (2001) (1)
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Evaluation of Ontology Based Tools (eon 2004) Organization Committee Program Committee Table of Contents a Benchmark Suite for Evaluating the Performance of the Webode Ontology Engineering Platform a Formalization of Ontology Learning from Text Doodle-owl: Owl-based Semi-automatic Ontology Developme (2004) (1)
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Warehousing Structured and Unstructured Data for Data (1997) (0)
Collaborative Knowledge Acquisition from Semantically Disparate, Distributed Data Sources (2013) (0)
Chapter LXIII Learning Classifiers from Distributed Data Sources (2019) (0)
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A Review of: “Parallel Distributed Processing: Implications for Psychology and Neurobiology” R. G. M. Morris (Ed.) Oxford: Clarendon Press, 1989 ISBN 0-19-852178-2, 339pp., £35.00 (1991) (0)
Regulatory RNA: Session Introduction (2016) (0)
PATENet: Pairwise Alignment of Time Evolving Networks (2018) (0)
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Protein-protein interface: database, analysis and prediction (2009) (0)
Intelligent Mobile Agents for InformationRetrieval and Knowledge Discovery fromDistributed Data and Knowledge (1998) (0)
Acceptability of Personal Sensing to Develop a Digital Biomarker of Stress-Related Injury Risk in Athletes (2018) (0)
Proteins with Safe Zone Homologs in RB111. (2014) (0)
Learning predictive models from large distributed autonomous data sources (2012) (0)
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Analysis of Utility-Theoretic Netw nt elligent A tive (1996) (0)
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Symbolic Artificial Intelligence , Connectionist Networks and Beyond TR 94-16 (1994) (0)
The Dynamical Gaussian Process Latent Variable Model in the Longitudinal Scenario (2019) (0)
HomPRIP Performance by Zone on RB28. (2014) (0)
Evaluation of Methods on the RB111 dataset. (2014) (0)
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Semi-supervised sequence classification using abstraction augmented Markov models (2010) (0)
Modular algorithms for biomolecular network alignment (2011) (0)
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Topics in knowledge bases: epistemic ontologies and secrecy-preserving reasoning (2012) (0)
Proceedings of the 2nd International Workshop on Modular Ontologies, WoMO 2007, Whistler, Canada, October 28, 2007 (2008) (0)
Associative Memory Content-ADDRESSED Memory Fault-TOLERANCE Multiple Associative Recall Adjustable-PRECISION Memory Binary Mappings Information Retrieval Address-BASED Memory High-CAPACITY Memory Interference (1995) (0)
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An Empirical Study of Hierarchical Dirichlet Process Priors for Grammar Induction (2009) (0)
Abstraction, aggregation and recursion for generating accurate and simple classifiers (2006) (0)
Machine-learning guided biophysical model development: application to ribosome catalysis (2022) (0)
Towards Semantics-Enabled Distributed Cyberinfrastructure for Knowledge Acquisition (2008) (0)
Connected in health: Place-to-place commuting networks and COVID-19 spillovers (2022) (0)
MIgories: an abstract model for interaction (2000) (0)
Machine Learning Prediction of Seizures after Ischemic Strokes. (S30.007) (2023) (0)
Introduction (2004) (0)
LXIII Learning Classifiers from Distributed Data Sources (2015) (0)
Multi-Agent Decision Tree Learning from Distributed Autonomous Data Sources (2000) (0)
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Learn-ing Classi ers from Semantically Heterogeneous Data Sources (2004) (0)
0102 Performance Evaluation of a 24-hour Sleep-Wake State Classifier Derived from Research-Grade Actigraphy (2022) (0)
PDB ID: 3NCU, Chain A: RIG-I. (2014) (0)
Using a Seed-Network to More Effectively Query Large-Scale Expression Data (2007) (0)
PS PACE Tableau Algorithms for Acyclic Modalized (2012) (0)
Machine Learning Approaches in Bioinformatics and Computational Biology (2004) (0)
Algorithmic and Systems Solutions for Ontology-Assisted Data Integration and Knowledge Acquisition in Computational Biology (2001) (0)
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Discovery Informatics in Biological and Biomedical Sciences: Research Challenges and Opportunities (2014) (0)
Towards Conditional Independence Test for Relational Data (2017) (0)
Principal Components Analysis (PCA) of interface conservation scores and sequence alignment statistics. (2014) (0)
MetaScore: A Novel Machine-Learning-Based Approach to Improve Traditional Scoring Functions for Scoring Protein–Protein Docking Conformations (2021) (0)
Performance of HomPRIP on RB198. (2014) (0)
Structure-based Methods for Predicting RNA-binding sites in Proteins. (2014) (0)
Coordination of Distributed KnowledgeNetworks Using Contract Net (1998) (0)
A Federated Tableau Algorithm for F-ALCI (2009) (0)
PRIDB: A P rotein- R NA I nterface D ata b ase (2010) (0)
Neural Network Design and the Complexity of Learning (Book Review) (1992) (0)
Tools for Integrating Heterogeneous Data Sources from a User Perspective (2004) (0)
Min-redundancy and max-relevance multi-view feature selection for predicting ovarian cancer survival using multi-omics data (2018) (0)
Principles of Artificial Intelligence Fall 2005 Handout # 2 Goal-Based Agents Vasant Honavar Artificial Intelligence (0)
Multi-dimensional Mapping (2009) (0)
Learning classifiers from linked data (2013) (0)
Symbolic and Subsymbolic Learning for Vision : Some Possibilities (1993) (0)
iScore: AnMPI supported software for ranking protein–protein dockingmodels based on a randomwalk graph kernel and support vectormachines (2020) (0)
Improving protein-RNA interface prediction by combining sequence homology based method with a naive Bayes classifier: preliminary results (2011) (0)
Gene expression data analysis (2008) (0)
HomPRIP, RNABindRPlus, and SVMOpt Performance by Zone on RB28. (2014) (0)
Computation , reduction , and teleology of consciousness Action (2001) (0)
8-18-1994 Symbolic Artificial Intelligence , Connectionist Networks & Beyond (2014) (0)
Prediction of protein function from structure (2005) (0)
Constructive Theory Re � nement in Knowledge Based Neural Networks (2003) (0)
On the Quality of Motifs for Protein Phosphorylation Site Prediction (2007) (0)
Federated description logics for the semantic web (2010) (0)
Proceedings of the 1st International Conference on Modular Ontologies - Volume 232 (2006) (0)
Evaluation of Methods on 28 proteins from the RB44 dataset. (2014) (0)
A Mixture Model of Bayesian Networks by Kyongryun Lee A thesis submitted to the graduate faculty in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Major: Computer Science Program of Study Committee: Dimitris Margaritis, Major Professor (0)
癌生存者ネットワークにおける感情変化の時間的因果関係解析【Powered by NICT】 (2016) (0)
Complexes of on-line self assembly (2008) (0)
Ëóóøûöö Ùðø Ìööö Òò Óðóööö Èøöö Aeaeø ××× Ëô Blockin Blockin (2007) (0)
Automata Induction � and Language Acquisition (1998) (0)
The Linear Model for Interface Conservation. (2014) (0)
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Forecasting User Interests Through Topic Tag Predictions in Online Health Communities (2022) (0)
Discovering meaning from biological sequences: focus on predicting misannotated proteins, binding patterns, and g4-quadruplex secondary structures (2013) (0)
Some experiments in the evolution of robot sensors (1999) (0)
Theoretical status of computational cognitive modeling Action (2008) (0)
Remembering GECCO-99A Short Summary (2000) (0)
Semantic web forb collaborative knowledge acquisition : Papers from the AAAI Fall Symposium : Technical Report FS-06-06 (2006) (0)
REGULATORY RNA. (2016) (0)
Learning from Semantically Heterogeneous Data (2009) (0)
Feeding the machine: challenges to reproducible predictive modeling in network neuroscience (2021) (0)
SrVARM: State Regularized Vector Autoregressive Model for Joint Learning of Hidden State Transitions and State-Dependent Inter-Variable Dependencies from Time Series Data (2021) (0)
1 Evolutionary and Neural Synthesis of Intelligent Agents (2005) (0)

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