Lista de obras - Ioannis Vlahavas - Dominio Público Uruguay

A Comprehensive Study Over VLAD and Product Quantization in Large-Scale Image Retrieval

A Defeasible Logic Reasoner for the Semantic Web

article by Nick Bassiliades et al published 2004 in Lecture Notes in Computer Science

A Graphical Rule Authoring Tool for Defeasible Reasoning in the Semantic Web

A Multi-agent Coordination Framework for Smart Building Energy Management

A Synergy of Planning and Ontology Concept Ranking for Semantic Web Service Composition

article

A System for Energy Savings in an Ambient Intelligence Environment

A novel approach for incremental uncertainty rule generation from databases with missing values handling: application to dynamic medical databases

artículo científico publicado en 2005

A prediction model of passenger demand using AVL and APC data from a bus fleet

A semantic recommendation algorithm for the PaaSport platform-as-a-service marketplace

A smart university platform for building energy monitoring and savings

A survey of service composition in ambient intelligence environments

article

A visual programming system for automated problem solving

Accurate Classification of SAGE Data Based on Frequent Patterns of Gene Expression

article

An Autonomous Transfer Learning Algorithm for TD-Learners

An Empirical Study of Lazy Multilabel Classification Algorithms

scholarly article published in Lecture Notes in Computer Science

An Empirical Study of Multi-label Learning Methods for Video Annotation

An Ensemble Pruning Primer

An Integrated Approach to Automated Semantic Web Service Composition through Planning

article

An adaptive personalized news dissemination system

An empirical study on sea water quality prediction

An ensemble uncertainty aware measure for directed hill climbing ensemble pruning

Applying adaptive prediction to sea-water quality measurements

Biological Data Mining

Chronic Lymphocytic Leukemia with Mutated IGHV4-34 Receptors: Shared and Distinct Immunogenetic Features and Clinical Outcomes

artículo científico publicado en 2017

Clustering classifiers for knowledge discovery from physically distributed databases

Communicating sequential processes for distributed constraint satisfaction

Deploying a Semantically-Enabled Content Management System in a State University

Distributed singleton consistency

Dynamic ensemble pruning based on multi-label classification

E-DEVICE: an extensible active knowledge base system with multiple rule type support

E-mail Mining

EBM+: Advancing Evidence-Based Medicine via two level automatic identification of Populations, Interventions, Outcomes in medical literature

scientific article published on 13 August 2020

Editorial

Ensemble Feature Selection using Rank Aggregation Methods for Population Genomic Data

Ensemble Pruning Using Reinforcement Learning

scholarly article by Ioannis Partalas et al published 2006 in Lecture Notes in Computer Science

FIFS: A data mining method for informative marker selection in high dimensional population genomic data.

artículo científico publicado en 2017

Feature Evaluation Metrics for Population Genomic Data

Greedy regression ensemble selection: Theory and an application to water quality prediction

HYBRID ACE: COMBINING SEARCH DIRECTIONS FOR HEURISTIC PLANNING

Hierarchical query execution in a parallel object-oriented database system

IRISPortal

Immunoglobulin heavy variable (IGHV) genes and alleles: new entities, new names and implications for research and prognostication in chronic lymphocytic leukaemia

artículo científico publicado en 2014

Improving Diversity in Image Search via Supervised Relevance Scoring

article published in 2015

Improving the Accuracy of Classifiers for the Prediction of Translation Initiation Sites in Genomic Sequences

Instance-Based Ensemble Pruning via Multi-Label Classification

scholarly article published October 2010

Integrating multiple immunogenetic data sources for feature extraction and mining somatic hypermutation patterns: the case of "towards analysis" in chronic lymphocytic leukaemia

artículo científico publicado en 2016

Interbase-KB: Integrating a knowledge base system with a multidatabase system for data warehousing

Large-scale online semantic indexing of biomedical articles via an ensemble of multi-label classification models

artículo científico publicado en 2017

MANTIS: a data mining methodology for effective translation initiation site prediction

artículo científico publicado en 2007

MOpiS: A Multiple Opinion Summarizer

Machine Learning and Data Mining Methods in Diabetes Research

artículo científico publicado en 2017

Message dissemination dynamics in biological communication systems: A reaction-diffusion approach

Mining for Contiguous Frequent Itemsets in Transaction Databases

article

Mining for Mutually Exclusive Gene Expressions

article

Model-based reinforcement learning for humanoids: A study on forming rewards with the iCub platform

scholarly article published April 2013

Monitoring water quality through a telematic sensor network and a fuzzy expert system

Multi-agent Reinforcement Learning Using Strategies and Voting

scholarly article published October 2007

Multi-label Learning Approaches for Music Instrument Recognition

Multi-label classification of music by emotion

Multi-target Regression via Random Linear Target Combinations ⬇️

Multi-target regression via input space expansion: treating targets as inputs

article

Multiobjective heuristic state-space planning

Obtaining Bipartitions from Score Vectors for Multi-Label Classification

On the Stratification of Multi-label Data

article by Konstantinos Sechidis et al published 2011 in Lecture Notes in Computer Science

On the Utility of Incremental Feature Selection for the Classification of Textual Data Streams

PRACTIC: A concurrent object data model for a parallel object-oriented database system

Parallel planning via the distribution of operators

Pattern discovery for microsatellite genome analysis

artículo científico publicado en 2014

PolyA-iEP: A data mining method for the effective prediction of polyadenylation sites

Polyadenylation Site Prediction Using PolyA-iEP Method

Polyadenylation site prediction using interesting emerging patterns

Prediction of Translation Initiation Sites Using Classifier Selection

Protein Classification with Multiple Algorithms

scholarly article by Sotiris Diplaris et al published 2005 in Lecture Notes in Computer Science

Pruning an ensemble of classifiers via reinforcement learning

scholarly article by Ioannis Partalas et al published March 2009 in Neurocomputing

R-DEVICE: A Deductive RDF Rule Language

Random k-Labelsets for Multilabel Classification

Reinforcement Learning and Automated Planning

scholarly article published 2008

Reinforcement learning agents providing advice in complex video games

scholarly article by Matthew E. Taylor et al published 2 January 2014 in Connection Science

Rule-based approaches for energy savings in an ambient intelligence environment

scholarly article by Thanos G. Stavropoulos et al published May 2015 in Pervasive and Mobile Computing

Segmento

Semantic Awareness in Automated Web Service Composition through Planning

article

Semantic Web Service Composition Using Planning and Ontology Concept Relevance

article

Semantically Aware Web Service Composition Through AI Planning

article

StackTIS: a stacked generalization approach for effective prediction of translation initiation sites

artículo científico publicado en 2011

System Architecture for a Smart University Building

TRES: Identification of Discriminatory and Informative SNPs from Population Genomic Data

artículo científico publicado en 2015

The PORSCE II framework: using AI planning for automated Semantic Web service composition

article

The Tomaco Hybrid Matching Framework for SAWSDL Semantic Web Services

Towards Automatic Synthesis of Educational Resources Through Automated Planning

Tracking recurring contexts using ensemble classifiers: an application to email filtering

Transfer Learning in Multi-Agent Reinforcement Learning Domains

scholarly article by Georgios Boutsioukis et al published 2012 in Lecture Notes in Computer Science

Transfer Learning via Multiple Inter-task Mappings

Transfer learning with probabilistic mapping selection

Transferring Evolved Reservoir Features in Reinforcement Learning Tasks

scholarly article by Kyriakos C. Chatzidimitriou et al published 2012 in Lecture Notes in Computer Science

Transferring Models in Hybrid Reinforcement Learning Agents

scholarly article by Anestis Fachantidis et al published 2011 in IFIP Advances in Information and Communication Technology

Transferring task models in Reinforcement Learning agents

scholarly article by Anestis Fachantidis et al published May 2013 in Neurocomputing

Web Service Composition Using a Deductive XML Rule Language

article

Lista de obras de Ioannis Vlahavas

A Comprehensive Study Over VLAD and Product Quantization in Large-Scale Image Retrieval

A Defeasible Logic Reasoner for the Semantic Web

A Graphical Rule Authoring Tool for Defeasible Reasoning in the Semantic Web

A Multi-agent Coordination Framework for Smart Building Energy Management

A Synergy of Planning and Ontology Concept Ranking for Semantic Web Service Composition

A System for Energy Savings in an Ambient Intelligence Environment

A novel approach for incremental uncertainty rule generation from databases with missing values handling: application to dynamic medical databases

A prediction model of passenger demand using AVL and APC data from a bus fleet

A semantic recommendation algorithm for the PaaSport platform-as-a-service marketplace

A smart university platform for building energy monitoring and savings

A survey of service composition in ambient intelligence environments

A visual programming system for automated problem solving

Accurate Classification of SAGE Data Based on Frequent Patterns of Gene Expression

An Autonomous Transfer Learning Algorithm for TD-Learners

An Empirical Study of Lazy Multilabel Classification Algorithms

An Empirical Study of Multi-label Learning Methods for Video Annotation

An Ensemble Pruning Primer

An Integrated Approach to Automated Semantic Web Service Composition through Planning

An adaptive personalized news dissemination system

An empirical study on sea water quality prediction

An ensemble uncertainty aware measure for directed hill climbing ensemble pruning

Applying adaptive prediction to sea-water quality measurements

Biological Data Mining

Chronic Lymphocytic Leukemia with Mutated IGHV4-34 Receptors: Shared and Distinct Immunogenetic Features and Clinical Outcomes

Clustering classifiers for knowledge discovery from physically distributed databases

Communicating sequential processes for distributed constraint satisfaction

Deploying a Semantically-Enabled Content Management System in a State University

Distributed singleton consistency

Dynamic ensemble pruning based on multi-label classification

E-DEVICE: an extensible active knowledge base system with multiple rule type support

E-mail Mining

EBM+: Advancing Evidence-Based Medicine via two level automatic identification of Populations, Interventions, Outcomes in medical literature

Editorial

Ensemble Feature Selection using Rank Aggregation Methods for Population Genomic Data

Ensemble Pruning Using Reinforcement Learning

FIFS: A data mining method for informative marker selection in high dimensional population genomic data.

Feature Evaluation Metrics for Population Genomic Data

Greedy regression ensemble selection: Theory and an application to water quality prediction

HYBRID ACE: COMBINING SEARCH DIRECTIONS FOR HEURISTIC PLANNING

Hierarchical query execution in a parallel object-oriented database system

IRISPortal

Immunoglobulin heavy variable (IGHV) genes and alleles: new entities, new names and implications for research and prognostication in chronic lymphocytic leukaemia

Improving Diversity in Image Search via Supervised Relevance Scoring

Improving the Accuracy of Classifiers for the Prediction of Translation Initiation Sites in Genomic Sequences

Instance-Based Ensemble Pruning via Multi-Label Classification

Integrating multiple immunogenetic data sources for feature extraction and mining somatic hypermutation patterns: the case of "towards analysis" in chronic lymphocytic leukaemia

Interbase-KB: Integrating a knowledge base system with a multidatabase system for data warehousing

Large-scale online semantic indexing of biomedical articles via an ensemble of multi-label classification models

MANTIS: a data mining methodology for effective translation initiation site prediction

MOpiS: A Multiple Opinion Summarizer

Machine Learning and Data Mining Methods in Diabetes Research

Message dissemination dynamics in biological communication systems: A reaction-diffusion approach

Mining for Contiguous Frequent Itemsets in Transaction Databases

Mining for Mutually Exclusive Gene Expressions

Model-based reinforcement learning for humanoids: A study on forming rewards with the iCub platform

Monitoring water quality through a telematic sensor network and a fuzzy expert system

Multi-agent Reinforcement Learning Using Strategies and Voting

Multi-label Learning Approaches for Music Instrument Recognition

Multi-label classification of music by emotion

Multi-target Regression via Random Linear Target Combinations ⬇️

Multi-target regression via input space expansion: treating targets as inputs

Multiobjective heuristic state-space planning

Obtaining Bipartitions from Score Vectors for Multi-Label Classification

On the Stratification of Multi-label Data

On the Utility of Incremental Feature Selection for the Classification of Textual Data Streams

PRACTIC: A concurrent object data model for a parallel object-oriented database system

Parallel planning via the distribution of operators

Pattern discovery for microsatellite genome analysis

PolyA-iEP: A data mining method for the effective prediction of polyadenylation sites

Polyadenylation Site Prediction Using PolyA-iEP Method

Polyadenylation site prediction using interesting emerging patterns

Prediction of Translation Initiation Sites Using Classifier Selection

Protein Classification with Multiple Algorithms

Pruning an ensemble of classifiers via reinforcement learning

R-DEVICE: A Deductive RDF Rule Language

Random k-Labelsets for Multilabel Classification

Reinforcement Learning and Automated Planning

Reinforcement learning agents providing advice in complex video games

Rule-based approaches for energy savings in an ambient intelligence environment