Ioannis P. Vlahavas

发表

A Novel Bacteria-Based Broadcast System Exploiting Chemotaxis

Stathis B. Mavridopoulos, Petros Nicopolitidis, Olga Tsave, 2016, NANOCOM.

Transferring Evolved Reservoir Features in Reinforcement Learning Tasks

Ioannis P. Vlahavas, Ioannis Partalas, Pericles A. Mitkas, 2011, EWRL.

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

Yiannis Kompatsiaris, Grigorios Tsoumakas, Ioannis P. Vlahavas, 2009, 2009 Seventh International Workshop on Content-Based Multimedia Indexing.

Capturing RDF Descriptive Semantics in an Object Oriented Knowledge Base System

Ioannis P. Vlahavas, Nick Bassiliades, 2003, WWW.

Cooperative CG-Wrappers for Web Content Extraction

Ioannis P. Vlahavas, Nick Bassiliades, Fotis Kokkoras, 2007, ICCS.

Transfer Learning in Multi-Agent Reinforcement Learning Domains

Ioannis P. Vlahavas, Ioannis Partalas, Georgios Boutsioukis, 2011, EWRL.

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

Georgios Meditskos, Ioannis P. Vlahavas, Nick Bassiliades, 2008, IBERAMIA.

DEVICE: Compiling production rules into event-driven rules using complex events

Ioannis P. Vlahavas, Nick Bassiliades, I. Vlahavas, 1997, Inf. Softw. Technol..

AUTH-Atypon at BioASQ 3: Large-Scale Semantic Indexing in Biomedicine

Yannis Papanikolaou, Grigorios Tsoumakas, Ioannis P. Vlahavas, 2015, CLEF.

Heuristic Planning with Resources

Ioannis P. Vlahavas, Ioannis Refanidis, I. Vlahavas, 2000, ECAI.

Parallel planning via the distribution of operators

Ioannis P. Vlahavas, Dimitris Vrakas, Ioannis Refanidis, 2001, J. Exp. Theor. Artif. Intell..

A Visualization Environment for Planning

Ioannis P. Vlahavas, Dimitris Vrakas, I. Vlahavas, 2005, Int. J. Artif. Intell. Tools.

R-DEVICE: A Deductive RDF Rule Language

Ioannis P. Vlahavas, Nick Bassiliades, I. Vlahavas, 2004, RuleML.

The GRT Planner

Ioannis P. Vlahavas, Ioannis Refanidis, 2001, AI Mag..

On the Stratification of Multi-label Data

Grigorios Tsoumakas, Ioannis P. Vlahavas, Konstantinos Sechidis, 2011, ECML/PKDD.

HAPRC: an automatically configurable planning system

Grigorios Tsoumakas, Ioannis P. Vlahavas, Nick Bassiliades, 2005, AI Commun..

Autonomous Selection of Inter-Task Mappings in Transfer Learning (extended abstract)

Ioannis P. Vlahavas, Matthew E. Taylor, Ioannis Partalas, 2013, AAAI Spring Symposium: Lifelong Machine Learning.

Deep Reinforcement Learning: A State-of-the-Art Walkthrough

Ioannis P. Vlahavas, Anestis Fachantidis, Aristotelis Lazaridis, 2020, J. Artif. Intell. Res..

Learning Rules for Adaptive Planning

Grigorios Tsoumakas, Ioannis P. Vlahavas, Nick Bassiliades, 2003, ICAPS.

A Defeasible Logic Reasoner for the Semantic Web

Ioannis P. Vlahavas, Nick Bassiliades, Grigoris Antoniou, 2004, Int. J. Semantic Web Inf. Syst..

Mining Multi-label Data

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Katakis, 2010, Data Mining and Knowledge Discovery Handbook.

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

Ioannis P. Vlahavas, George Tzanis, Christos Berberidis, 2005, Panhellenic Conference on Informatics.

Focused Ensemble Selection: A Diversity-Based Method for Greedy Ensemble Selection

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Partalas, 2008, ECAI.

An ensemble uncertainty aware measure for directed hill climbing ensemble pruning

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Partalas, 2010, Machine Learning.

Clustering classifiers for knowledge discovery from physically distributed databases

Lefteris Angelis, Grigorios Tsoumakas, Ioannis P. Vlahavas, 2004, Data Knowl. Eng..

Reinforcement learning agents providing advice in complex video games

Ioannis P. Vlahavas, Matthew E. Taylor, Anestis Fachantidis, 2014, Connect. Sci..

Applying adaptive prediction to sea-water quality measurements

Ioannis P. Vlahavas, Jari J. Hätönen, Nick Bassiliades, 2009, Expert Syst. Appl..

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

Grigorios Tsoumakas, Ioannis P. Vlahavas, William Groves, 2012, Machine Learning.

Multi-target feature selection through output space clustering

Ioannis P. Vlahavas, Konstantinos Sechidis, Eleftherios Spyromitros Xioufis, 2019, ESANN.

Random K-labelsets for Multilabel Classification

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Katakis, 2022 .

Dealing with Concept Drift and Class Imbalance in Multi-Label Stream Classification

Grigorios Tsoumakas, Myra Spiliopoulou, Ioannis P. Vlahavas, 2011, IJCAI.

System Architecture of a Distributed Expert System for the Management of a National Data Network

Sascha Ossowski, Ioannis P. Vlahavas, Nick Bassiliades, 1998, AIMSA.

Multi-label classification of music by emotion

Grigorios Tsoumakas, Ioannis P. Vlahavas, George Kalliris, 2011, EURASIP J. Audio Speech Music. Process..

A Heuristic for Planning Based on Action Evaluation

Ioannis P. Vlahavas, Dimitris Vrakas, I. Vlahavas, 2002, AIMSA.

"Cultures in negotiation": teachers' acceptance/resistance attitudes considering the infusion of technology into schools

Ioannis P. Vlahavas, Andreas S. Pomportsis, Stavros N. Demetriadis, 2003, Comput. Educ..

Editorial

George A. Tsihrintzis, Ioannis P. Vlahavas, Themis Panayiotopoulos, 2014, Int. J. Artif. Intell. Tools.

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

Ioannis P. Vlahavas, Nick Bassiliades, Grigoris Antoniou, 2005, Panhellenic Conference on Informatics.

Intelligent Querying of Web Documents Using a Deductive XML Repository

Ioannis P. Vlahavas, Nick Bassiliades, 2002, SETN.

An Empirical Study of Lazy Multilabel Classification Algorithms

Grigorios Tsoumakas, Ioannis P. Vlahavas, Eleftherios Spyromitros Xioufis, 2008, SETN.

Hierarchical Query Execution in a Parallel Object-Oriented Database System

Ioannis P. Vlahavas, Nick Bassiliades, 1996, Parallel Comput..

An ontology-based planning system for e-course generation

Ioannis P. Vlahavas, Nick Bassiliades, Efstratios Kontopoulos, 2008, Expert Syst. Appl..

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

Grigorios Tsoumakas, Ioannis P. Vlahavas, William Groves, 2012, Machine Learning.

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

Ioannis P. Vlahavas, Ioannis Kavakiotis, Patroklos Samaras, 2017, Comput. Biol. Medicine.

R-DEVICE: An Object-Oriented Knowledge Base for RDF Metadata

Ioannis P. Vlahavas, Nick Bassiliades, I. Vlahavas, 2006, Int. J. Semantic Web Inf. Syst..

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

Ioannis P. Vlahavas, Ioannis Kavakiotis, George Tzanis, 2011, Expert Syst. Appl..

Multi-target Regression via Random Linear Target Combinations pdf

Grigorios Tsoumakas, Ioannis P. Vlahavas, Eleftherios Spyromitros Xioufis, 2014, ECML/PKDD.

An adaptive personalized news dissemination system

Grigorios Tsoumakas, Ioannis P. Vlahavas, Nick Bassiliades, 2009, Journal of Intelligent Information Systems.

HYBRID ACE: COMBINING SEARCH DIRECTIONS FOR HEURISTIC PLANNING

Ioannis P. Vlahavas, Dimitris Vrakas, I. Vlahavas, 2005, Comput. Intell..

CSPCONS: A Communicating Sequential Prolog with Constraints

Ioannis P. Vlahavas, Ilias Sakellariou, Ivan Futó, 2002, SETN.

Instance-Based Ensemble Pruning via Multi-Label Classification

Grigorios Tsoumakas, Ioannis P. Vlahavas, Fotini Markatopoulou, 2010, 2010 22nd IEEE International Conference on Tools with Artificial Intelligence.

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

Ioannis P. Vlahavas, George Tzanis, 2007, 19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007).

Protein Classification with Multiple Algorithms

Grigorios Tsoumakas, Ioannis P. Vlahavas, Pericles A. Mitkas, 2005, Panhellenic Conference on Informatics.

Constraint Checking in a Parallel Object-oriented Database System

Ioannis P. Vlahavas, Nick Bassiliades, 1995, Parallel Algorithms Appl..

A Knowledge Based Approach on Educational Metadata Use

Ioannis P. Vlahavas, Demetrios G. Sampson, Fotis Kokkoras, 2001, Panhellenic Conference on Informatics.

Detection and Prediction of Rare Events in Transaction Databases

Ioannis P. Vlahavas, Christos Berberidis, I. Vlahavas, 2007, Int. J. Artif. Intell. Tools.

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

Angelo Cangelosi, Ioannis P. Vlahavas, Anestis Fachantidis, 2013, 2013 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB).

The GRT Planning System: Backward Heuristic Construction in Forward State-Space Planning pdf

Ioannis P. Vlahavas, Ioannis Refanidis, I. Vlahavas, 2001, J. Artif. Intell. Res..

GRT: A Domain Independent Heuristic for STRIPS Worlds Based on Greedy Regression Tables

Ioannis P. Vlahavas, Ioannis Refanidis, I. Vlahavas, 1999, ECP.

Predicting Missing Parts in Time Series Using Uncertainty Theory

Nicos Maglaveras, Ioannis P. Vlahavas, Sokratis Konias, 2004, ISBMDA.

L-machine: A low-cost personal sequential inference machine

Ioannis P. Vlahavas, Constantin Halatsis, 1989, J. Syst. Softw..

Transferring task models in Reinforcement Learning agents

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Partalas, 2013, Neurocomputing.

Using Logic for Querying XML Data

Ioannis P. Vlahavas, Nick Bassiliades, Demetrios G. Sampson, 2003, Web-Powered Databases.

Transfer learning with probabilistic mapping selection

Ioannis P. Vlahavas, Matthew E. Taylor, Ioannis Partalas, 2015, Adapt. Behav..

An Ensemble Pruning Primer

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Partalas, 2009, Applications of Supervised and Unsupervised Ensemble Methods.

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

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Katakis, 2005, Panhellenic Conference on Informatics.

Multi-Label Classification of Music into Emotions

Grigorios Tsoumakas, Ioannis P. Vlahavas, George Kalliris, 2008, ISMIR.

Pruning an ensemble of classifiers via reinforcement learning

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Partalas, 2009, Neurocomputing.

Pattern discovery for microsatellite genome analysis

Ioannis P. Vlahavas, Ioannis Kavakiotis, Evangelos Konstantinidis, 2014, Comput. Biol. Medicine.

Machine Learning Methods for Customer's Payment Acceptance Prediction in an Electricity Distribution Company

Lefteris Angelis, Grigorios Tsoumakas, Ioannis P. Vlahavas, 2017, PCI.

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

Grigorios Tsoumakas, Ioanna Chouvarda, Nicos Maglaveras, 2016, BMC Bioinformatics.

The GRT Planner: New Results

Ioannis P. Vlahavas, Ioannis Refanidis, I. Vlahavas, 2000, Local Search for Planning and Scheduling.

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

Grigorios Tsoumakas, Ioannis P. Vlahavas, Anestis Fachantidis, 2015, Panhellenic Conference on Informatics.

ExperNet: An Intelligent Multiagent System for WAN Management

Sascha Ossowski, Ioannis P. Vlahavas, Nick Bassiliades, 2002, IEEE Intell. Syst..

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

Thanos G. Stavropoulos, Ioannis P. Vlahavas, Nick Bassiliades, 2015, Pervasive Mob. Comput..

Software Defect Prediction Using Regression via Classification

Ioannis Stamelos, Grigorios Tsoumakas, Ioannis P. Vlahavas, 2006, IEEE International Conference on Computer Systems and Applications, 2006..

A Hybrid Multiagent Reinforcement Learning Approach Using Strategies and Fusion

Ioannis P. Vlahavas, Ioannis Partalas, Ioannis Feneris, 2008, Int. J. Artif. Intell. Tools.

Smart VideoText: a video data model based on conceptual graphs

Walid G. Aref, Ioannis P. Vlahavas, Ahmed K. Elmagarmid, 2002, Multimedia Systems.

An empirical study on the combination of surf features with VLAD vectors for image search

Yiannis Kompatsiaris, Grigorios Tsoumakas, Ioannis P. Vlahavas, 2012, 2012 13th International Workshop on Image Analysis for Multimedia Interactive Services.

PARCIS: a robust parallel VLSI circuit simulator

Ioannis P. Vlahavas, Panagiotis Linardis, 1999, Simul. Pract. Theory.

Obtaining Bipartitions from Score Vectors for Multi-Label Classification

Grigorios Tsoumakas, Ioannis P. Vlahavas, Marios Ioannou, 2010, 2010 22nd IEEE International Conference on Tools with Artificial Intelligence.

InterBase-KB: Integrating a Knowledge Base System with a Multidatabase System for Data Warehousing

Ioannis P. Vlahavas, Ahmed K. Elmagarmid, Elias N. Houstis, 2003, IEEE Trans. Knowl. Data Eng..

Biological Data Mining

Ioannis P. Vlahavas, George Tzanis, Christos Berberidis, 2007 .

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

Ioannis P. Vlahavas, Nick Bassiliades, Efstratios Kontopoulos, 2010, EGOVIS.

An Ensemble of Classifiers for coping with Recurring Contexts in Data Streams

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Katakis, 2008, ECAI.

Mining for Mutually Exclusive Gene Expressions

Ioannis P. Vlahavas, George Tzanis, 2010, SETN.

Transferring experience in reinforcement learning through task decomposition

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Partalas, 2009, AAMAS.

Proceedings of the 7th Hellenic conference on Artificial Intelligence: theories and applications

Ioannis P. Vlahavas, Vassilis P. Plagianakos, Ilias Maglogiannis, 2012 .

Effective Stacking of Distributed Classifiers

Grigorios Tsoumakas, Ioannis P. Vlahavas, Grigorios Tsoumakas, 2002, ECAI.

Learning to Teach Reinforcement Learning Agents pdf

Ioannis P. Vlahavas, Matthew E. Taylor, Anestis Fachantidis, 2017, Mach. Learn. Knowl. Extr..

PRACTIC: A Concurrent Object Data Model for a Parallel Object-Oriented Database System

Ioannis P. Vlahavas, Nick Bassiliades, 1995, Inf. Sci..

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

Ioannis P. Vlahavas, George Tzanis, Christos Berberidis, 2012, Comput. Biol. Medicine.

Improving Diversity in Image Search via Supervised Relevance Scoring

Yiannis Kompatsiaris, Ioannis P. Vlahavas, Symeon Papadopoulos, 2015, ICMR.

Transferring Models in Hybrid Reinforcement Learning Agents

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Partalas, 2011, EANN/AIAI.

Combining Inter-Review Learning-to-Rank and Intra-Review Incremental Training for Title and Abstract Screening in Systematic Reviews

Grigorios Tsoumakas, Ioannis P. Vlahavas, Athanasios Lagopoulos, 2017, CLEF.

Ensemble Approaches for Large-Scale Multi-Label Classification and Question Answering in Biomedicine

Yannis Papanikolaou, Grigorios Tsoumakas, Ioannis P. Vlahavas, 2014, CLEF.

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

Ioannis P. Vlahavas, Nick Bassiliades, Evaggelos V. Hatzikos, 2007, Expert Syst. J. Knowl. Eng..

Additional Referees

Ioannis Stamelos, Yannis Avrithis, Georgios Dounias, 2005, ITCC.

A Defeasible Logic Reasoner for the Semantic Web

Ioannis P. Vlahavas, Nick Bassiliades, Grigoris Antoniou, 2004, RuleML.

Processing Production Rules in DEVICE, and Active Knowledge Base System

Ioannis P. Vlahavas, Nick Bassiliades, I. Vlahavas, 1997, Data Knowl. Eng..

A parallel Prolog resolution based on multiple unifications

Ioannis P. Vlahavas, Petros Kefalas, 1992, Parallel Comput..

MLKD's Participation at the CLEF 2011 Photo Annotation and Concept-Based Retrieval Tasks

Grigorios Tsoumakas, Ioannis P. Vlahavas, Konstantinos Sechidis, 2011, CLEF.

Dynamic ensemble pruning based on multi-label classification

Grigorios Tsoumakas, Ioannis P. Vlahavas, Fotini Markatopoulou, 2015, Neurocomputing.

Segmento: An R-based Visualization-rich System for Customer Segmentation and Targeting

Grigorios Tsoumakas, Ioannis P. Vlahavas, Anestis Fachantidis, 2016, SETN.

E-DEVICE: An Extensible Active Knowledge Base System with Multiple Rule Type Support

Ioannis P. Vlahavas, Ahmed K. Elmagarmid, Nick Bassiliades, 2000, IEEE Trans. Knowl. Data Eng..

Ensemble Feature Selection using Rank Aggregation Methods for Population Genomic Data

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Kavakiotis, 2016, SETN.

DR-DEVICE: A Defeasible Logic System for the Semantic Web

Ioannis P. Vlahavas, Nick Bassiliades, Grigoris Antoniou, 2004, PPSWR.

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

Yannis Papanikolaou, Grigorios Tsoumakas, Ioannis P. Vlahavas, 2017, Journal of Biomedical Semantics.

Semantic Web Service Composition Using Planning and Ontology Concept Relevance

Georgios Meditskos, Ioannis P. Vlahavas, Nick Bassiliades, 2009, 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology.

Using the k-Nearest Problems for Adaptive Multicriteria Planning

Grigorios Tsoumakas, Ioannis P. Vlahavas, Nick Bassiliades, 2004, SETN.

A contribution to the problem of avoiding congestion in multistage networks in the presence of unbalanced traffic

Ioannis P. Vlahavas, Andreas S. Pomportsis, 1994, J. Syst. Softw..

Semantic Awareness in Automated Web Service Composition through Planning

Ioannis P. Vlahavas, Nick Bassiliades, Dimosthenis Anagnostopoulos, 2010, SETN.

Real Time Location Based Sentiment Analysis on Twitter: The AirSent System

Ioannis P. Vlahavas, Dimitrios Michailidis, Nikolaos Stylianou, 2018, SETN.

A System for Energy Savings in an Ambient Intelligence Environment

Thanos G. Stavropoulos, Ioannis P. Vlahavas, Dimitris Vrakas, 2011, ICT-GLOW.

On the Discovery of Weak Periodicities in Large Time Series

Walid G. Aref, Mikhail J. Atallah, Ioannis P. Vlahavas, 2002, PKDD.

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

Olga Tsave, Athanasios Salifoglou, Ioannis P. Vlahavas, 2017, 2017 24th International Conference on Telecommunications (ICT).

Large-Scale Semantic Indexing of Biomedical Publications

Grigorios Tsoumakas, Ioannis P. Vlahavas, Manos Laliotis, 2013, BioASQ@CLEF.

A visual programming system for automated problem solving

Ioannis P. Vlahavas, Nick Bassiliades, Dimosthenis Anagnostopoulos, 2010, Expert Syst. Appl..

Selective fusion of heterogeneous classifiers

Lefteris Angelis, Grigorios Tsoumakas, Ioannis P. Vlahavas, 2005, Intell. Data Anal..

Mining for weak periodic signals in time series databases

Ioannis P. Vlahavas, Christos Berberidis, 2005, Intell. Data Anal..

A Novel Data Mining Approach for the Accurate Prediction of Translation Initiation Sites

Ioannis P. Vlahavas, George Tzanis, Christos Berberidis, 2006, ISBMDA.

A smart university platform for building energy monitoring and savings

Thanos G. Stavropoulos, George Koutitas, Ioannis P. Vlahavas, 2016, J. Ambient Intell. Smart Environ..

Multi-target regression via output space quantization

Ioannis P. Vlahavas, Konstantinos Sechidis, Eleftherios Spyromitros Xioufis, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Lazy Adaptive Multicriteria Planning

Grigorios Tsoumakas, Ioannis P. Vlahavas, Nick Bassiliades, 2004, ECAI.

System Architecture for a Smart University Building

Thanos G. Stavropoulos, George Koutitas, Ioannis P. Vlahavas, 2010, ICANN.

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

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Katakis, 2009, Knowledge and Information Systems.

Multi-label Learning Approaches for Music Instrument Recognition

Grigorios Tsoumakas, Ioannis P. Vlahavas, Eleftherios Spyromitros Xioufis, 2011, ISMIS.

Semantically Aware Web Service Composition Through AI Planning

Mara Nikolaidou, Ioannis P. Vlahavas, Nick Bassiliades, 2015, Int. J. Artif. Intell. Tools.

Transfer Learning via Multiple Inter-task Mappings

Ioannis P. Vlahavas, Matthew E. Taylor, Ioannis Partalas, 2011, EWRL.

MACLP: multi agent constraint logic programming

Ioannis P. Vlahavas, I. Vlahavas, 2002, Inf. Sci..

ESSE: an expert system for software evaluation

Ioannis Stamelos, Ioannis P. Vlahavas, Alexis Tsoukiàs, 1999, Knowl. Based Syst..

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

Georgios Meditskos, Ioannis P. Vlahavas, Nick Bassiliades, 2017, Expert Syst. Appl..

An empirical study on sea water quality prediction

Grigorios Tsoumakas, Ioannis P. Vlahavas, Nick Bassiliades, 2008, Knowl. Based Syst..

Information Theoretic Multi-Target Feature Selection via Output Space Quantization †

Ioannis P. Vlahavas, Konstantinos Sechidis, Eleftherios Spyromitros Xioufis, 2019, Entropy.

aWESoME: A web service middleware for ambient intelligence

Thanos G. Stavropoulos, Ioannis P. Vlahavas, Dimitris Vrakas, 2013, Expert Syst. Appl..

Multiobjective heuristic state-space planning

Ioannis P. Vlahavas, Ioannis Refanidis, I. Vlahavas, 2003, Artif. Intell..

Multiple and Partial Periodicity Mining in Time Series Databases

Walid G. Aref, Mikhail J. Atallah, Ioannis P. Vlahavas, 2002, ECAI.

A survey of service composition in ambient intelligence environments

Thanos G. Stavropoulos, Ioannis P. Vlahavas, Dimitris Vrakas, 2013, Artificial Intelligence Review.

Virtual laboratories on wireless communications: A contemporary, extensible approach

Ioannis P. Vlahavas, Christos K. Liaskos, George C. Koutitas, 2012, Proceedings of the 2012 IEEE Global Engineering Education Conference (EDUCON).

Communicating sequential processes for distributed constraint satisfaction

Ioannis P. Vlahavas, Ilias Sakellariou, Ivan Futó, 2006, Inf. Sci..

Prediction of Translation Initiation Sites Using Classifier Selection

Ioannis P. Vlahavas, George Tzanis, 2006, SETN.

Towards Automatic Synthesis of Educational Resources Through Automated Planning

Ioannis P. Vlahavas, Nick Bassiliades, Fotis Kokkoras, 2006, SETN.

PersoNews: A Personalized News Reader Enhanced by Machine Learning and Semantic Filtering

Grigorios Tsoumakas, Ioannis P. Vlahavas, Nick Bassiliades, 2006, OTM Conferences.

Distributed singleton consistency

Ioannis P. Vlahavas, Ilias Sakellariou, I. Vlahavas, 2004, J. Exp. Theor. Artif. Intell..

On the Combination of Textual and Semantic Descriptions for Automated Semantic Web Service Classification

Georgios Meditskos, Grigorios Tsoumakas, Ioannis P. Vlahavas, 2009, AIAI.

A Multi-agent Coordination Framework for Smart Building Energy Management

Thanos G. Stavropoulos, Ioannis P. Vlahavas, Nick Bassiliades, 2014, 2014 25th International Workshop on Database and Expert Systems Applications.

Flow control and switching strategy for preventing congestion in multistage networks

Ioannis P. Vlahavas, Andreas S. Pomportsis, 1993, Architecture and Protocols for High-Speed Networks.

Web Service Composition Using a Deductive XML Rule Language

Ioannis P. Vlahavas, Nick Bassiliades, Dimosthenis Anagnostopoulos, 2005, Distributed and Parallel Databases.

Random k -Labelsets: An Ensemble Method for Multilabel Classification

Grigorios Tsoumakas, Ioannis P. Vlahavas, Grigorios Tsoumakas, 2007, ECML.

Feature Evaluation Metrics for Population Genomic Data

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Kavakiotis, 2014, SETN.

IRISPortal: a semantic portal for industrial risk cases management

Georgios Meditskos, Ioannis P. Vlahavas, Nick Bassiliades, 2012, WIMS '12.

Polyadenylation site prediction using interesting emerging patterns

Ioannis P. Vlahavas, Ioannis Kavakiotis, George Tzanis, 2008, 2008 8th IEEE International Conference on BioInformatics and BioEngineering.

An interoperable and scalable Web-based system for classifier sharing and fusion

Grigorios Tsoumakas, Ioannis P. Vlahavas, Grigorios Tsoumakas, 2007, Expert Syst. Appl..

A novel flow control and switching strategy for preventing hotspot congestion in multistage networks

Ioannis P. Vlahavas, Andreas S. Pomportsis, 1993, Microprocess. Microsystems.

An abstract prolog machine based on parallel resolution principle

Ioannis P. Vlahavas, Petros Kefalas, 1992, Microprocess. Microprogramming.

The Tomaco Hybrid Matching Framework for SAWSDL Semantic Web Services

Thanos G. Stavropoulos, Ioannis P. Vlahavas, Nick Bassiliades, 2016, IEEE Transactions on Services Computing.

An Integrated Approach to Automated Semantic Web Service Composition through Planning

Mara Nikolaidou, Ioannis P. Vlahavas, Nick Bassiliades, 2012, IEEE Transactions on Services Computing.

Modelling Constraints with Exceptions in Object-Oriented Databases

Ioannis P. Vlahavas, Nick Bassiliades, 1994, ER.

OASys: an AND/OR parallel logic programming system

Ioannis P. Vlahavas, Constantin Halatsis, Petros Kefalas, 1999, Parallel Comput..

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

Ioannis P. Vlahavas, Nick Bassiliades, Dimosthenis Anagnostopoulos, 2013, Knowl. Eng. Rev..

MULAN: A Java Library for Multi-Label Learning

Grigorios Tsoumakas, Ioannis P. Vlahavas, Eleftherios Spyromitros Xioufis, 2011, J. Mach. Learn. Res..

Iridescent: a tool for rapid semantic annotation of web service descriptions

Thanos G. Stavropoulos, Ioannis P. Vlahavas, Dimitris Vrakas, 2013, WIMS '13.

PaaSport semantic model: An ontology for a platform-as-a-service semantically interoperable marketplace

Georgios Meditskos, Ioannis P. Vlahavas, Nick Bassiliades, 2017, Data Knowl. Eng..

Multi-agent Reinforcement Learning Using Strategies and Voting

Ioannis P. Vlahavas, Ioannis Partalas, Ioannis Feneris, 2007, 19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007).

Effective Voting of Heterogeneous Classifiers

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Katakis, 2004, ECML.

Comfresh: A Common Framework for Expert Systems and Hypertext

Ioannis P. Vlahavas, Fotis Kokkoras, I. Vlahavas, 1995, Inf. Process. Manag..

Ensemble Pruning Using Reinforcement Learning

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Partalas, 2006, SETN.

Multiple OR-Parallel Resolution: Meta-Level Control of Parallel Logic Programs

Ioannis P. Vlahavas, Petros Kefalas, 1996, Euro-Par, Vol. I.

MOpiS: A Multiple Opinion Summarizer

Ioannis P. Vlahavas, Fotis Kokkoras, Konstantinos Ntonas, 2008, SETN.

A Holistic Virtual Laboratory on Wireless Communications and Sensor Networks

George Koutitas, Ioannis P. Vlahavas, Christos Liaskos, 2013, Int. J. Interact. Mob. Technol..

Exploiting State Constraints in Heuristic State-Space Planning

Ioannis P. Vlahavas, Ioannis Refanidis, 2000, AIPS.

A Non-Uniform Data Fragmentation Strategy for Parallel Main-Menory Database Systems

Ioannis P. Vlahavas, Nick Bassiliades, I. Vlahavas, 1995, VLDB.

An Autonomous Transfer Learning Algorithm for TD-Learners

Ioannis P. Vlahavas, Matthew E. Taylor, Ioannis Partalas, 2014, SETN.

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

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Partalas, 2008, Inf. Sci..

Reinforcement Learning with Classifier Selection for Focused Crawling

Ioannis P. Vlahavas, Georgios Paliouras, Ioannis Partalas, 2008, ECAI.

Regression via Classification applied on software defect estimation

Ioannis Stamelos, Grigorios Tsoumakas, Ioannis P. Vlahavas, 2008, Expert Syst. Appl..

TP-DDI: Transformer-based pipeline for the extraction of Drug-Drug Interactions

Ioannis P. Vlahavas, Dimitrios Zaikis, 2021, Artif. Intell. Medicine.

Improved Biomedical Entity Recognition via Longer Context Modeling

Ioannis P. Vlahavas, Nikolaos Stylianou, Panagiotis Kosmoliaptsis, 2021, AIAI.