A RISC prolog machine architecture. - Ioannis P. Vlahavas; Constantin Halatsis (Microprocess. Microprogramming, 1987)

L-machine: A low-cost personal sequential inference machine. - Ioannis P. Vlahavas; Constantin Halatsis (J. Syst. Softw., 1989)

An abstract prolog machine based on parallel resolution principle. - Ioannis P. Vlahavas; Petros Kefalas (Microprocess. Microprogramming, 1992)

A parallel Prolog resolution based on multiple unifications. - Ioannis P. Vlahavas; Petros Kefalas (Parallel Comput., 1992)

Flow control and switching strategy for preventing congestion in multistage networks. - Andreas S. Pombortsis; Ioannis P. Vlahavas (Architecture and Protocols for High-Speed Networks, 1993)

A novel flow control and switching strategy for preventing hotspot congestion in multistage networks. - Andreas S. Pombortsis; Ioannis P. Vlahavas (Microprocess. Microsystems, 1993)

Modelling Constraints with Exceptions in Object-Oriented Databases. - Nick Bassiliades; Ioannis P. Vlahavas (ER, 1994)

A contribution to the problem of avoiding congestion in multistage networks in the presence of unbalanced traffic. - Andreas S. Pombortsis; Ioannis P. Vlahavas (J. Syst. Softw., 1994)

A Non-Uniform Data Fragmentation Strategy for Parallel Main-Menory Database Systems. - Nick Bassiliades; Ioannis P. Vlahavas (VLDB, 1995)

Comfresh: A Common Framework for Expert Systems and Hypertext. - Fotis Kokkoras; Ioannis P. Vlahavas (Inf. Process. Manag., 1995)

PRACTIC: A Concurrent Object Data Model for a Parallel Object-Oriented Database System. - Nick Bassiliades; Ioannis P. Vlahavas (Inf. Sci., 1995)

Constraint Checking in a Parallel Object-oriented Database System. - Nick Bassiliades; Ioannis P. Vlahavas (Parallel Algorithms Appl., 1995)

Multiple OR-Parallel Resolution: Meta-Level Control of Parallel Logic Programs. - Petros Kefalas; Ioannis P. Vlahavas (Euro-Par, Vol. I, 1996)

Hierarchical Query Execution in a Parallel Object-Oriented Database System. - Nick Bassiliades; Ioannis P. Vlahavas (Parallel Comput., 1996)

Processing Production Rules in DEVICE, and Active Knowledge Base System. - Nick Bassiliades; Ioannis P. Vlahavas (Data Knowl. Eng., 1997)

DEVICE: Compiling production rules into event-driven rules using complex events. - Nick Bassiliades; Ioannis P. Vlahavas (Inf. Softw. Technol., 1997)

System Architecture of a Distributed Expert System for the Management of a National Data Network. - Ioannis P. Vlahavas; Nick Bassiliades; Ilias Sakellariou; Martín Molina; Sascha Ossowski; Ivan Futó; Zoltán Pásztor; János Szeredi; Igor Velbitskiy; Sergey Yershov; Sergey Golub; Igor Netesin (AIMSA, 1998)

Exploiting and-or parallelism in Prolog: The OASys computational model and abstract architecture. - Ioannis P. Vlahavas (J. Syst. Softw., 1998)

GRT: A Domain Independent Heuristic for STRIPS Worlds Based on Greedy Regression Tables. - Ioannis Refanidis; Ioannis P. Vlahavas (ECP, 1999)

ESSE: an expert system for software evaluation. - Ioannis P. Vlahavas; Ioannis Stamelos; Ioannis Refanidis; Alexis Tsoukiàs (Knowl. Based Syst., 1999)

OASys: an AND/OR parallel logic programming system. - Ioannis P. Vlahavas; Petros Kefalas; Constantin Halatsis (Parallel Comput., 1999)

PARCIS: a robust parallel VLSI circuit simulator. - Panagiotis Linardis; Ioannis P. Vlahavas (Simul. Pract. Theory, 1999)

Exploiting State Constraints in Heuristic State-Space Planning. - Ioannis Refanidis; Ioannis P. Vlahavas (AIPS, 2000)

Heuristic Planning with Resources. - Ioannis Refanidis; Ioannis P. Vlahavas (ECAI, 2000)

The GRT Planner: New Results. - Ioannis Refanidis; Ioannis P. Vlahavas (Local Search for Planning and Scheduling, 2000)

Knowledge based evaluation of software systems: a case study. - Ioannis Stamelos; Ioannis P. Vlahavas; Ioannis Refanidis; Alexis Tsoukiàs (Inf. Softw. Technol., 2000)

E-DEVICE: An Extensible Active Knowledge Base System with Multiple Rule Type Support. - Nick Bassiliades; Ioannis P. Vlahavas; Ahmed K. Elmagarmid (IEEE Trans. Knowl. Data Eng., 2000)

A Knowledge Based Approach on Educational Metadata Use. - Fotis Kokkoras; Demetrios G. Sampson; Ioannis P. Vlahavas (Panhellenic Conference on Informatics, 2001)

The GRT Planner. - Ioannis Refanidis; Ioannis P. Vlahavas (AI Mag., 2001)

The GRT Planning System: Backward Heuristic Construction in Forward State-Space Planning. - Ioannis Refanidis; Ioannis P. Vlahavas (J. Artif. Intell. Res., 2001)

Parallel planning via the distribution of operators. - Dimitris Vrakas; Ioannis Refanidis; Ioannis P. Vlahavas (J. Exp. Theor. Artif. Intell., 2001)

A Heuristic for Planning Based on Action Evaluation. - Dimitris Vrakas; Ioannis P. Vlahavas (AIMSA, 2002)

Multiple and Partial Periodicity Mining in Time Series Databases. - Christos Berberidis; Walid G. Aref; Mikhail J. Atallah; Ioannis P. Vlahavas; Ahmed K. Elmagarmid (ECAI, 2002)

Effective Stacking of Distributed Classifiers. - Grigorios Tsoumakas; Ioannis P. Vlahavas (ECAI, 2002)

On the Discovery of Weak Periodicities in Large Time Series. - Christos Berberidis; Ioannis P. Vlahavas; Walid G. Aref; Mikhail J. Atallah; Ahmed K. Elmagarmid (PKDD, 2002)

Intelligent Querying of Web Documents Using a Deductive XML Repository. - Nick Bassiliades; Ioannis P. Vlahavas (SETN, 2002)

CSPCONS: A Communicating Sequential Prolog with Constraints. - Ioannis P. Vlahavas; Ilias Sakellariou; Ivan Futó; Zoltán Pásztor; János Szeredi (SETN, 2002)

ExperNet: An Intelligent Multiagent System for WAN Management. - Ioannis P. Vlahavas; Nick Bassiliades; Ilias Sakellariou; Martín Molina; Sascha Ossowski; Ivan Futó; Zoltán Pásztor; János Szeredi; Igor Velbitskiy; Sergey Yershov; Igor Netesin (IEEE Intell. Syst., 2002)

MACLP: multi agent constraint logic programming. - Ioannis P. Vlahavas (Inf. Sci., 2002)

Smart VideoText: a video data model based on conceptual graphs. - Fotis Kokkoras; Haitao Jiang; Ioannis P. Vlahavas; Ahmed K. Elmagarmid; Elias N. Houstis; Walid G. Aref (Multim. Syst., 2002)

Using Logic for Querying XML Data. - Nick Bassiliades; Ioannis P. Vlahavas; Demetrios G. Sampson (Web-Powered Databases, 2003)

Learning Rules for Adaptive Planning. - Dimitris Vrakas; Grigorios Tsoumakas; Nick Bassiliades; Ioannis P. Vlahavas (ICAPS, 2003)

Capturing RDF Descriptive Semantics in an Object Oriented Knowledge Base System. - Nick Bassiliades; Ioannis P. Vlahavas (WWW (Posters), 2003)

Multiobjective heuristic state-space planning. - Ioannis Refanidis; Ioannis P. Vlahavas (Artif. Intell., 2003)

"Cultures in negotiation": teachers' acceptance/resistance attitudes considering the infusion of technology into schools. - Stavros N. Demetriadis; A. Barbas; A. Molohides; George Palaigeorgiou; D. Psillos; Ioannis P. Vlahavas; Ioannis A. Tsoukalas; Andreas S. Pombortsis (Comput. Educ., 2003)

InterBase-KB: Integrating a Knowledge Base System with a Multidatabase System for Data Warehousing. - Nick Bassiliades; Ioannis P. Vlahavas; Ahmed K. Elmagarmid; Elias N. Houstis (IEEE Trans. Knowl. Data Eng., 2003)

Lazy Adaptive Multicriteria Planning. - Grigorios Tsoumakas; Dimitris Vrakas; Nick Bassiliades; Ioannis P. Vlahavas (ECAI, 2004)

Effective Voting of Heterogeneous Classifiers. - Grigorios Tsoumakas; Ioannis Katakis 001; Ioannis P. Vlahavas (ECML, 2004)

Predicting Missing Parts in Time Series Using Uncertainty Theory. - Sokratis Konias; Nicos Maglaveras; Ioannis P. Vlahavas (ISBMDA, 2004)

DR-DEVICE: A Defeasible Logic System for the Semantic Web. - Nick Bassiliades; Grigoris Antoniou; Ioannis P. Vlahavas (PPSWR, 2004)

R-DEVICE: A Deductive RDF Rule Language. - Nick Bassiliades; Ioannis P. Vlahavas (RuleML, 2004)

Using the k-Nearest Problems for Adaptive Multicriteria Planning. - Grigorios Tsoumakas; Dimitris Vrakas; Nick Bassiliades; Ioannis P. Vlahavas (SETN, 2004)

Clustering classifiers for knowledge discovery from physically distributed databases. - Grigorios Tsoumakas; Lefteris Angelis; Ioannis P. Vlahavas (Data Knowl. Eng., 2004)

Distributed singleton consistency. - Ilias Sakellariou; Ioannis P. Vlahavas (J. Exp. Theor. Artif. Intell., 2004)

Biological Data Mining. - George Tzanis; Christos Berberidis; Ioannis P. Vlahavas (Encyclopedia of Database Technologies and Applications, 2005)

A Graphical Rule Authoring Tool for Defeasible Reasoning in the Semantic Web. - Nick Bassiliades; Efstratios Kontopoulos; Grigoris Antoniou; Ioannis P. Vlahavas (Panhellenic Conference on Informatics, 2005)

Protein Classification with Multiple Algorithms. - Sotiris Diplaris; Grigorios Tsoumakas; Pericles A. Mitkas; Ioannis P. Vlahavas (Panhellenic Conference on Informatics, 2005)

On the Utility of Incremental Feature Selection for the Classification of Textual Data Streams. - Ioannis Katakis 001; Grigorios Tsoumakas; Ioannis P. Vlahavas (Panhellenic Conference on Informatics, 2005)

Improving the Accuracy of Classifiers for the Prediction of Translation Initiation Sites in Genomic Sequences. - George Tzanis; Christos Berberidis; Anastasia Alexandridou; Ioannis P. Vlahavas (Panhellenic Conference on Informatics, 2005)

HAPRC: an automatically configurable planning system. - Dimitris Vrakas; Grigorios Tsoumakas; Nick Bassiliades; Ioannis P. Vlahavas (AI Commun., 2005)

Hybrid ACE: Combining Search Directions for Heuristic Planning. - Dimitris Vrakas; Ioannis P. Vlahavas (Comput. Intell., 2005)

Web Service Composition Using a Deductive XML Rule Language. - Nick Bassiliades; Dimosthenis Anagnostopoulos; Ioannis P. Vlahavas (Distributed Parallel Databases, 2005)

Mining for weak periodic signals in time series databases. - Christos Berberidis; Ioannis P. Vlahavas (Intell. Data Anal., 2005)

Selective fusion of heterogeneous classifiers. - Grigorios Tsoumakas; Lefteris Angelis; Ioannis P. Vlahavas (Intell. Data Anal., 2005)

A Visualization Environment for Planning. - Dimitris Vrakas; Ioannis P. Vlahavas (Int. J. Artif. Intell. Tools, 2005)

Software Defect Prediction Using Regression via Classification. - Stamatia Bibi; Grigorios Tsoumakas; Ioannis Stamelos; Ioannis P. Vlahavas (AICCSA, 2006)

A Novel Data Mining Approach for the Accurate Prediction of Translation Initiation Sites. - George Tzanis; Christos Berberidis; Ioannis P. Vlahavas (ISBMDA, 2006)

PersoNews: A Personalized News Reader Enhanced by Machine Learning and Semantic Filtering. - Evangelos Banos; Ioannis Katakis 001; Nick Bassiliades; Grigorios Tsoumakas; Ioannis P. Vlahavas (OTM Conferences (1), 2006)

Ensemble Pruning Using Reinforcement Learning. - Ioannis Partalas; Grigorios Tsoumakas; Ioannis Katakis 001; Ioannis P. Vlahavas (SETN, 2006)

Prediction of Translation Initiation Sites Using Classifier Selection. - George Tzanis; Ioannis P. Vlahavas (SETN, 2006)

Towards Automatic Synthesis of Educational Resources Through Automated Planning. - Dimitris Vrakas; Fotis Kokkoras; Nick Bassiliades; Ioannis P. Vlahavas (SETN, 2006)

A Defeasible Logic Reasoner for the Semantic Web. - Nick Bassiliades; Grigoris Antoniou; Ioannis P. Vlahavas (Int. J. Semantic Web Inf. Syst., 2006)

R-DEVICE: An Object-Oriented Knowledge Base for RDF Metadata. - Nick Bassiliades; Ioannis P. Vlahavas (Int. J. Semantic Web Inf. Syst., 2006)

Communicating sequential processes for distributed constraint satisfaction. - Ilias Sakellariou; Ioannis P. Vlahavas; Ivan Futó; Zoltán Pásztor; János Szeredi (Inf. Sci., 2006)

Random k -Labelsets: An Ensemble Method for Multilabel Classification. - Grigorios Tsoumakas; Ioannis P. Vlahavas (ECML, 2007)

Cooperative CG-Wrappers for Web Content Extraction. - Fotis Kokkoras; Nick Bassiliades; Ioannis P. Vlahavas (ICCS, 2007)

Multi-agent Reinforcement Learning Using Strategies and Voting. - Ioannis Partalas; Ioannis Feneris; Ioannis P. Vlahavas (ICTAI (2), 2007)

Accurate Classification of SAGE Data Based on Frequent Patterns of Gene Expression. - George Tzanis; Ioannis P. Vlahavas (ICTAI (1), 2007)

Monitoring water quality through a telematic sensor network and a fuzzy expert system. - Evaggelos V. Hatzikos; Nick Bassiliades; Leonidas Asmanis; Ioannis P. Vlahavas (Expert Syst. J. Knowl. Eng., 2007)

An interoperable and scalable Web-based system for classifier sharing and fusion. - Grigorios Tsoumakas; Ioannis P. Vlahavas (Expert Syst. Appl., 2007)

Detection and Prediction of Rare Events in Transaction Databases. - Christos Berberidis; Ioannis P. Vlahavas (Int. J. Artif. Intell. Tools, 2007)

Polyadenylation site prediction using interesting emerging patterns. - George Tzanis; Ioannis Kavakiotis; Ioannis P. Vlahavas (BIBE, 2008)

An Ensemble of Classifiers for coping with Recurring Contexts in Data Streams. - Ioannis Katakis 001; Grigorios Tsoumakas; Ioannis P. Vlahavas (ECAI, 2008)

Reinforcement Learning with Classifier Selection for Focused Crawling. - Ioannis Partalas; Georgios Paliouras; Ioannis P. Vlahavas (ECAI, 2008)

Focused Ensemble Selection: A Diversity-Based Method for Greedy Ensemble Selection. - Ioannis Partalas; Grigorios Tsoumakas; Ioannis P. Vlahavas (ECAI, 2008)

A Synergy of Planning and Ontology Concept Ranking for Semantic Web Service Composition. - Ourania Hatzi; Georgios Meditskos; Dimitris Vrakas; Nick Bassiliades; Dimosthenis Anagnostopoulos; Ioannis P. Vlahavas (IBERAMIA, 2008)

Multi-Label Classification of Music into Emotions. - Konstantinos Trohidis; Grigorios Tsoumakas; George Kalliris; Ioannis P. Vlahavas (ISMIR, 2008)

MOpiS: A Multiple Opinion Summarizer. - Fotis Kokkoras; Efstratia Lampridou; Konstantinos Ntonas; Ioannis P. Vlahavas (SETN, 2008)

An Empirical Study of Lazy Multilabel Classification Algorithms. - Eleftherios Spyromitros Xioufis; Grigorios Tsoumakas; Ioannis P. Vlahavas (SETN, 2008)

Regression via Classification applied on software defect estimation. - Stamatia Bibi; Grigorios Tsoumakas; Ioannis Stamelos; Ioannis P. Vlahavas (Expert Syst. Appl., 2008)

An ontology-based planning system for e-course generation. - Efstratios Kontopoulos; Dimitris Vrakas; Fotis Kokkoras; Nick Bassiliades; Ioannis P. Vlahavas (Expert Syst. Appl., 2008)

A Hybrid Multiagent Reinforcement Learning Approach Using Strategies and Fusion. - Ioannis Partalas; Ioannis Feneris; Ioannis P. Vlahavas (Int. J. Artif. Intell. Tools, 2008)

Greedy regression ensemble selection: Theory and an application to water quality prediction. - Ioannis Partalas; Grigorios Tsoumakas; Evaggelos V. Hatzikos; Ioannis P. Vlahavas (Inf. Sci., 2008)

An empirical study on sea water quality prediction. - Evaggelos V. Hatzikos; Grigorios Tsoumakas; George Tzanis; Nick Bassiliades; Ioannis P. Vlahavas (Knowl. Based Syst., 2008)

Distributed Data Mining. - Grigorios Tsoumakas; Ioannis P. Vlahavas (Database Technologies: Concepts, Methodologies, Tools, and Applications, 2009)

Transferring experience in reinforcement learning through task decomposition. - Ioannis Partalas; Grigorios Tsoumakas; Konstantinos Tzevanidis; Ioannis P. Vlahavas (AAMAS (2), 2009)

An Empirical Study of Multi-label Learning Methods for Video Annotation. - Anastasios Dimou; Grigorios Tsoumakas; Vasileios Mezaris; Ioannis Kompatsiaris; Ioannis P. Vlahavas (CBMI, 2009)

On the Combination of Textual and Semantic Descriptions for Automated Semantic Web Service Classification. - Ioannis Katakis 001; Georgios Meditskos; Grigorios Tsoumakas; Nick Bassiliades; Ioannis P. Vlahavas (AIAI, 2009)

Semantic Web Service Composition Using Planning and Ontology Concept Relevance. - Ourania Hatzi; Georgios Meditskos; Dimitris Vrakas; Nick Bassiliades; Dimosthenis Anagnostopoulos; Ioannis P. Vlahavas (Web Intelligence, 2009)

Applying adaptive prediction to sea-water quality measurements. - Evaggelos V. Hatzikos; Jari J. Hätönen; Nick Bassiliades; Ioannis P. Vlahavas; Eleni Fournou (Expert Syst. Appl., 2009)

Pruning an ensemble of classifiers via reinforcement learning. - Ioannis Partalas; Grigorios Tsoumakas; Ioannis P. Vlahavas (Neurocomputing, 2009)

An adaptive personalized news dissemination system. - Ioannis Katakis 001; Grigorios Tsoumakas; Evangelos Banos; Nick Bassiliades; Ioannis P. Vlahavas (J. Intell. Inf. Syst., 2009)

An Ensemble Pruning Primer. - Grigorios Tsoumakas; Ioannis Partalas; Ioannis P. Vlahavas (Applications of Supervised and Unsupervised Ensemble Methods, 2009)

Deploying a Semantically-Enabled Content Management System in a State University. - Maria Befa; Efstratios Kontopoulos; Nick Bassiliades; Christos Berberidis; Ioannis P. Vlahavas (EGOVIS, 2010)

System Architecture for a Smart University Building. - Thanos G. Stavropoulos; Ageliki Tsioliaridou; George Koutitas; Dimitris Vrakas; Ioannis P. Vlahavas (ICANN (3), 2010)

Obtaining Bipartitions from Score Vectors for Multi-Label Classification. - Marios Ioannou; George Sakkas; Grigorios Tsoumakas; Ioannis P. Vlahavas (ICTAI (1), 2010)

Instance-Based Ensemble Pruning via Multi-Label Classification. - Fotini Markatopoulou; Grigorios Tsoumakas; Ioannis P. Vlahavas (ICTAI (1), 2010)

Semantic Awareness in Automated Web Service Composition through Planning. - Ourania Hatzi; Dimitris Vrakas; Nick Bassiliades; Dimosthenis Anagnostopoulos; Ioannis P. Vlahavas (SETN, 2010)

Mining for Mutually Exclusive Gene Expressions. - George Tzanis; Ioannis P. Vlahavas (SETN, 2010)

A visual programming system for automated problem solving. - Ourania Hatzi; Dimitris Vrakas; Nick Bassiliades; Dimosthenis Anagnostopoulos; Ioannis P. Vlahavas (Expert Syst. Appl., 2010)

Tracking recurring contexts using ensemble classifiers: an application to email filtering. - Ioannis Katakis 001; Grigorios Tsoumakas; Ioannis P. Vlahavas (Knowl. Inf. Syst., 2010)

An ensemble uncertainty aware measure for directed hill climbing ensemble pruning. - Ioannis Partalas; Grigorios Tsoumakas; Ioannis P. Vlahavas (Mach. Learn., 2010)

Mining Multi-label Data. - Grigorios Tsoumakas; Ioannis Katakis 001; Ioannis P. Vlahavas (Data Mining and Knowledge Discovery Handbook, 2010)

MLKD's Participation at the CLEF 2011 Photo Annotation and Concept-Based Retrieval Tasks. - Eleftherios Spyromitros Xioufis; Konstantinos Sechidis; Grigorios Tsoumakas; Ioannis P. Vlahavas (CLEF (Notebook Papers/Labs/Workshop), 2011)

Transfer Learning in Multi-Agent Reinforcement Learning Domains. - Georgios Boutsioukis; Ioannis Partalas; Ioannis P. Vlahavas (EWRL, 2011)

Transferring Evolved Reservoir Features in Reinforcement Learning Tasks. - Kyriakos C. Chatzidimitriou; Ioannis Partalas; Pericles A. Mitkas; Ioannis P. Vlahavas (EWRL, 2011)

Transfer Learning via Multiple Inter-task Mappings. - Anestis Fachantidis; Ioannis Partalas; Matthew E. Taylor; Ioannis P. Vlahavas (EWRL, 2011)

A System for Energy Savings in an Ambient Intelligence Environment. - Thanos G. Stavropoulos; Dimitris Vrakas; Alexandros Arvanitidis; Ioannis P. Vlahavas (ICT-GLOW, 2011)

Transferring Models in Hybrid Reinforcement Learning Agents. - Anestis Fachantidis; Ioannis Partalas; Grigorios Tsoumakas; Ioannis P. Vlahavas (EANN, 2011)

Dealing with Concept Drift and Class Imbalance in Multi-Label Stream Classification. - Eleftherios Spyromitros Xioufis; Myra Spiliopoulou; Grigorios Tsoumakas; Ioannis P. Vlahavas (IJCAI, 2011)

Multi-label Learning Approaches for Music Instrument Recognition. - Eleftherios Spyromitros Xioufis; Grigorios Tsoumakas; Ioannis P. Vlahavas (ISMIS, 2011)

On the Stratification of Multi-label Data. - Konstantinos Sechidis; Grigorios Tsoumakas; Ioannis P. Vlahavas (ECML/PKDD (3), 2011)

Multi-label classification of music by emotion. - Konstantinos Trohidis; Grigorios Tsoumakas; George Kalliris; Ioannis P. Vlahavas (EURASIP J. Audio Speech Music. Process., 2011)

PolyA-iEP: A data mining method for the effective prediction of polyadenylation sites. - George Tzanis; Ioannis Kavakiotis; Ioannis P. Vlahavas (Expert Syst. Appl., 2011)

MULAN: A Java Library for Multi-Label Learning. - Grigorios Tsoumakas; Eleftherios Spyromitros Xioufis; Jozef Vilcek; Ioannis P. Vlahavas (J. Mach. Learn. Res., 2011)

Random k-Labelsets for Multilabel Classification. - Grigorios Tsoumakas; Ioannis Katakis 001; Ioannis P. Vlahavas (IEEE Trans. Knowl. Data Eng., 2011)

Virtual laboratories on wireless communications: A contemporary, extensible approach. - Christos K. Liaskos; George C. Koutitas; Ioannis P. Vlahavas (EDUCON, 2012)

An empirical study on the combination of surf features with VLAD vectors for image search. - Eleftherios Spyromitros Xioufis; Symeon Papadopoulos; Ioannis Kompatsiaris; Grigorios Tsoumakas; Ioannis P. Vlahavas (WIAMIS, 2012)

IRISPortal: a semantic portal for industrial risk cases management. - Georgios Meditskos; Nick Bassiliades; Dimitris Vrakas; Ioannis P. Vlahavas (WIMS, 2012)

StackTIS: A stacked generalization approach for effective prediction of translation initiation sites. - George Tzanis; Christos Berberidis; Ioannis P. Vlahavas (Comput. Biol. Medicine, 2012)

Multi-Label Classification Methods for Multi-Target Regression - Eleftherios Spyromitros Xioufis; William Groves; Grigorios Tsoumakas; Ioannis P. Vlahavas (CoRR, 2012)

An Integrated Approach to Automated Semantic Web Service Composition through Planning. - Ourania Hatzi; Dimitris Vrakas; Mara Nikolaidou; Nick Bassiliades; Dimosthenis Anagnostopoulos; Ioannis P. Vlahavas (IEEE Trans. Serv. Comput., 2012)

Autonomous Selection of Inter-Task Mappings in Transfer Learning (extended abstract). - Anestis Fachantidis; Ioannis Partalas; Matthew E. Taylor; Ioannis P. Vlahavas (AAAI Spring Symposium: Lifelong Machine Learning, 2013)

Model-based reinforcement learning for humanoids: A study on forming rewards with the iCub platform. - Anestis Fachantidis; Alessandro G. Di Nuovo; Angelo Cangelosi; Ioannis P. Vlahavas (CCMB, 2013)

Large-Scale Semantic Indexing of Biomedical Publications. - Grigorios Tsoumakas; Manos Laliotis; Nikos Markantonatos; Ioannis P. Vlahavas (BioASQ@CLEF, 2013)

Iridescent: a tool for rapid semantic annotation of web service descriptions. - Thanos G. Stavropoulos; Dimitris Vrakas; Ioannis P. Vlahavas (WIMS, 2013)

A survey of service composition in ambient intelligence environments. - Thanos G. Stavropoulos; Dimitris Vrakas; Ioannis P. Vlahavas (Artif. Intell. Rev., 2013)

aWESoME: A web service middleware for ambient intelligence. - Thanos G. Stavropoulos; Konstantinos Gottis; Dimitris Vrakas; Ioannis P. Vlahavas (Expert Syst. Appl., 2013)

A Holistic Virtual Laboratory on Wireless Communications and Sensor Networks. - Christos Liaskos; George Koutitas; Ioannis P. Vlahavas (Int. J. Interact. Mob. Technol., 2013)

Transferring task models in Reinforcement Learning agents. - Anestis Fachantidis; Ioannis Partalas; Grigorios Tsoumakas; Ioannis P. Vlahavas (Neurocomputing, 2013)

The PORSCE II framework: using AI planning for automated Semantic Web service composition. - Ourania Hatzi; Dimitris Vrakas; Nick Bassiliades; Dimosthenis Anagnostopoulos; Ioannis P. Vlahavas (Knowl. Eng. Rev., 2013)

Ensemble Approaches for Large-Scale Multi-Label Classification and Question Answering in Biomedicine. - Yannis Papanikolaou; Dimitrios Dimitriadis; Grigorios Tsoumakas; Manos Laliotis; Nikos Markantonatos; Ioannis P. Vlahavas (CLEF (Working Notes), 2014)

A Multi-agent Coordination Framework for Smart Building Energy Management. - Thanos G. Stavropoulos; Emmanouil S. Rigas; Efstratios Kontopoulos; Nick Bassiliades; Ioannis P. Vlahavas (DEXA Workshops, 2014)

SocialSensor: Finding Diverse Images at MediaEval 2014. - Eleftherios Spyromitros Xioufis; Symeon Papadopoulos; Yiannis Kompatsiaris; Ioannis P. Vlahavas (MediaEval, 2014)

Multi-target Regression via Random Linear Target Combinations. - Grigorios Tsoumakas; Eleftherios Spyromitros Xioufis; Aikaterini Vrekou; Ioannis P. Vlahavas (ECML/PKDD (3), 2014)

An Autonomous Transfer Learning Algorithm for TD-Learners. - Anestis Fachantidis; Ioannis Partalas; Matthew E. Taylor; Ioannis P. Vlahavas (SETN, 2014)

Feature Evaluation Metrics for Population Genomic Data. - Ioannis Kavakiotis; Alexandros Triantafyllidis; Grigorios Tsoumakas; Ioannis P. Vlahavas (SETN, 2014)

Pattern discovery for microsatellite genome analysis. - Ioannis Kavakiotis; Alexandros Triantafyllidis; Patroklos Samaras; Antonios Voulgaridis; Nikoletta Karaiskou; Evangelos Konstantinidis; Ioannis P. Vlahavas (Comput. Biol. Medicine, 2014)

Reinforcement learning agents providing advice in complex video games. - Matthew E. Taylor; Nicholas Carboni; Anestis Fachantidis; Ioannis P. Vlahavas; Lisa Torrey (Connect. Sci., 2014)

Editorial. - George A. Tsihrintzis; Themis Panayiotopoulos; Ioannis P. Vlahavas; Sotiris G. Ziavras (Int. J. Artif. Intell. Tools, 2014)

A Comprehensive Study Over VLAD and Product Quantization in Large-Scale Image Retrieval. - Eleftherios Spyromitros Xioufis; Symeon Papadopoulos; Yiannis Kompatsiaris; Grigorios Tsoumakas; Ioannis P. Vlahavas (IEEE Trans. Multim., 2014)

AUTH-Atypon at BioASQ 3: Large-Scale Semantic Indexing in Biomedicine. - Yannis Papanikolaou; Grigorios Tsoumakas; Manos Laliotis; Nikos Markantonatos; Ioannis P. Vlahavas (CLEF (Working Notes), 2015)

Improving Diversity in Image Search via Supervised Relevance Scoring. - Eleftherios Spyromitros Xioufis; Symeon Papadopoulos; Alexandru-Lucian Gînsca; Adrian Popescu 001; Yiannis Kompatsiaris; Ioannis P. Vlahavas (ICMR, 2015)

A prediction model of passenger demand using AVL and APC data from a bus fleet. - Patroklos Samaras; Anestis Fachantidis; Grigorios Tsoumakas; Ioannis P. Vlahavas (Panhellenic Conference on Informatics, 2015)

Transfer learning with probabilistic mapping selection. - Anestis Fachantidis; Ioannis Partalas; Matthew E. Taylor; Ioannis P. Vlahavas (Adapt. Behav., 2015)

Semantically Aware Web Service Composition Through AI Planning. - Ourania Hatzi; Mara Nikolaidou; Dimitris Vrakas; Nick Bassiliades; Dimosthenis Anagnostopoulos; Ioannis P. Vlahavas (Int. J. Artif. Intell. Tools, 2015)

Dynamic ensemble pruning based on multi-label classification. - Fotini Markatopoulou; Grigorios Tsoumakas; Ioannis P. Vlahavas (Neurocomputing, 2015)

Rule-based approaches for energy savings in an ambient intelligence environment. - Thanos G. Stavropoulos; Efstratios Kontopoulos; Nick Bassiliades; John Argyriou; Antonis Bikakis; Dimitris Vrakas; Ioannis P. Vlahavas (Pervasive Mob. Comput., 2015)

A Novel Bacteria-Based Broadcast System Exploiting Chemotaxis. - Stathis B. Mavridopoulos; Petros Nicopolitidis; Olga Tsave; Athanasios Salifoglou; Ioannis P. Vlahavas (NANOCOM, 2016)

Segmento: An R-based Visualization-rich System for Customer Segmentation and Targeting. - Anestis Fachantidis; Athanasios Tsiaras; Grigorios Tsoumakas; Ioannis P. Vlahavas (SETN, 2016)

Ensemble Feature Selection using Rank Aggregation Methods for Population Genomic Data. - Ioannis Kavakiotis; Alexandros Triantafyllidis; Grigorios Tsoumakas; Ioannis P. Vlahavas (SETN, 2016)

Integrating multiple immunogenetic data sources for feature extraction and mining somatic hypermutation patterns: the case of "towards analysis" in chronic lymphocytic leukaemia. - Ioannis Kavakiotis; Aliki Xochelli; Andreas Agathangelidis; Grigorios Tsoumakas; Nicos Maglaveras; Kostas Stamatopoulos; Anastasia Hadzidimitriou; Ioannis P. Vlahavas; Ioanna Chouvarda (BMC Bioinform., 2016)

A smart university platform for building energy monitoring and savings. - Thanos G. Stavropoulos; George Koutitas; Dimitris Vrakas; Efstratios Kontopoulos; Ioannis P. Vlahavas (J. Ambient Intell. Smart Environ., 2016)

Multi-target regression via input space expansion: treating targets as inputs. - Eleftherios Spyromitros Xioufis; Grigorios Tsoumakas; William Groves; Ioannis P. Vlahavas (Mach. Learn., 2016)

The Tomaco Hybrid Matching Framework for SAWSDL Semantic Web Services. - Thanos G. Stavropoulos; Stelios Andreadis; Nick Bassiliades; Dimitris Vrakas; Ioannis P. Vlahavas (IEEE Trans. Serv. Comput., 2016)

Combining Inter-Review Learning-to-Rank and Intra-Review Incremental Training for Title and Abstract Screening in Systematic Reviews. - Antonios Anagnostou; Athanasios Lagopoulos; Grigorios Tsoumakas; Ioannis P. Vlahavas (CLEF (Working Notes), 2017)

Message dissemination dynamics in biological communication systems: A reaction-diffusion approach. - Konstantinos F. Kantelis; Georgios I. Papadimitriou; Petros Nikopolitidis; Ioannis P. Vlahavas; Olga Tsave; Athanasios Salifoglou (ICT, 2017)

Machine Learning Methods for Customer's Payment Acceptance Prediction in an Electricity Distribution Company. - Ioannis Mamalikidis; Christos Karapiperis; Lefteris Angelis; Grigorios Tsoumakas; Ioannis P. Vlahavas (PCI, 2017)

Large-scale online semantic indexing of biomedical articles via an ensemble of multi-label classification models. - Yannis Papanikolaou; Grigorios Tsoumakas; Manos Laliotis; Nikos Markantonatos; Ioannis P. Vlahavas (J. Biomed. Semant., 2017)

FIFS: A data mining method for informative marker selection in high dimensional population genomic data. - Ioannis Kavakiotis; Patroklos Samaras; Alexandros Triantafyllidis; Ioannis P. Vlahavas (Comput. Biol. Medicine, 2017)

A semantic recommendation algorithm for the PaaSport platform-as-a-service marketplace. - Nick Bassiliades; Moisis Symeonidis; Georgios Meditskos; Efstratios Kontopoulos; Panagiotis Gouvas; Ioannis P. Vlahavas (Expert Syst. Appl., 2017)

Real Time Location Based Sentiment Analysis on Twitter: The AirSent System. - Dimitrios Michailidis; Nikolaos Stylianou; Ioannis P. Vlahavas (SETN, 2018)

PaaSport semantic model: An ontology for a platform-as-a-service semantically interoperable marketplace. - Nick Bassiliades; Moisis Symeonidis; Panagiotis Gouvas; Efstratios Kontopoulos; Georgios Meditskos; Ioannis P. Vlahavas (Data Knowl. Eng., 2018)

Multi-target feature selection through output space clustering. - Konstantinos Sechidis; Eleftherios Spyromitros Xioufis; Ioannis P. Vlahavas (ESANN, 2019)

Information Theoretic Multi-Target Feature Selection via Output Space Quantization. - Konstantinos Sechidis; Eleftherios Spyromitros Xioufis; Ioannis P. Vlahavas (Entropy, 2019)

Learning to Teach Reinforcement Learning Agents. - Anestis Fachantidis; Matthew E. Taylor; Ioannis P. Vlahavas (Mach. Learn. Knowl. Extr., 2019)

The anatomy of bacteria-inspired nanonetworks: Molecular nanomachines in message dissemination. - Olga Tsave; Ioannis Kavakiotis; Konstantinos F. Kantelis; Stathis B. Mavridopoulos; Petros Nicopolitidis; Georgios I. Papadimitriou; Ioannis P. Vlahavas; Athanasios Salifoglou (Nano Commun. Networks, 2019)

LionForests: local interpretation of random forests. - Ioannis Mollas; Nick Bassiliades; Ioannis P. Vlahavas; Grigorios Tsoumakas (NeHuAI@ECAI, 2020)

Multi-target regression via output space quantization. - Eleftherios Spyromitros Xioufis; Konstantinos Sechidis; Ioannis P. Vlahavas (IJCNN, 2020)

Serious Game Development for the Diagnosis of Major Depressive Disorder Cases Using Machine Learning Methods (short paper). - Athanasios Tsionas; Aristotelis Lazaridis; Ioannis P. Vlahavas (SETN Workshops, 2020)

Drug-Drug Interaction Classification Using Attention Based Neural Networks. - Dimitrios Zaikis; Ioannis P. Vlahavas (SETN, 2020)

EBM+: Advancing Evidence-Based Medicine via two level automatic identification of Populations, Interventions, Outcomes in medical literature. - Nikolaos Stylianou; Gerasimos Razis; Dimitrios G. Goulis; Ioannis P. Vlahavas (Artif. Intell. Medicine, 2020)

E.T.: Entity-Transformers. Coreference augmented Neural Language Model for richer mention representations via Entity-Transformer blocks. - Nikolaos Stylianou; Ioannis P. Vlahavas (CoRR, 2020)

Deep Reinforcement Learning: A State-of-the-Art Walkthrough. - Aristotelis Lazaridis; Anestis Fachantidis; Ioannis P. Vlahavas (J. Artif. Intell. Res., 2020)

Improved Biomedical Entity Recognition via Longer Context Modeling. - Nikolaos Stylianou; Panagiotis Kosmoliaptsis; Ioannis P. Vlahavas (AIAI, 2021)

TP-DDI: Transformer-based pipeline for the extraction of Drug-Drug Interactions. - Dimitrios Zaikis; Ioannis P. Vlahavas (Artif. Intell. Medicine, 2021)

CoreLM: Coreference-aware Language Model Fine-Tuning. - Nikolaos Stylianou; Ioannis P. Vlahavas (CoRR, 2021)

A neural Entity Coreference Resolution review. - Nikolaos Stylianou; Ioannis P. Vlahavas (Expert Syst. Appl., 2021)

TransforMED: End-to-Εnd Transformers for Evidence-Based Medicine and Argument Mining in medical literature. - Nikolaos Stylianou; Ioannis P. Vlahavas (J. Biomed. Informatics, 2021)

Architecture-Agnostic Time-Step Boosting: A Case Study in Short-Term Load Forecasting. - Ioannis Pierros; Ioannis P. Vlahavas (ICANN (3), 2022)

TraderNet-CR: Cryptocurrency Trading with Deep Reinforcement Learning. - Vasilis Kochliaridis; Eleftherios Kouloumpris; Ioannis P. Vlahavas (AIAI (1), 2022)

AlphaBluff: An AI-Powered Heads-Up No-Limit Texas Hold'em Poker Video Game. - Aristotelis Lazaridis; Christos Perchanidis; Doxakis Chovardas; Ioannis P. Vlahavas (INISTA, 2022)

Retail Demand Forecasting for 1 Million Products. - Ioannis P. Pierros; Eleftherios Kouloumpris; Dimitrios Zaikis; Ioannis P. Vlahavas (ISDA (1), 2022)

Short-term Load Forecasting With Clustered Hybrid Models Based On Hour Granularity. - Eleftherios Kouloumpris; Athina Konstantinou; Stamatis Karlos; Grigorios Tsoumakas; Ioannis P. Vlahavas (SETN, 2022)

Transforming Drug-Drug Interaction Extraction from Biomedical Literature. - Dimitrios Zaikis; Stylianos Kokkas; Ioannis P. Vlahavas (SETN, 2022)

REIN-2: Giving birth to prepared reinforcement learning agents using reinforcement learning agents. - Aristotelis Lazaridis; Ioannis P. Vlahavas (Neurocomputing, 2022)

Sector-level sentiment analysis with deep learning. - Ioannis Almalis; Eleftherios Kouloumpris; Ioannis P. Vlahavas (Knowl. Based Syst., 2022)

DACL: A Domain-Adapted Contrastive Learning Approach to Low Resource Language Representations for Document Clustering Tasks. - Dimitrios Zaikis; Stylianos Kokkas; Ioannis P. Vlahavas (EANN, 2023)

Serious Escape Room Game for Personality Assessment. - George Liapis; Katerina Zacharia; Kejsi Rrasa; Ioannis P. Vlahavas (GALA, 2023)

Classifying Intelligence Tests Patterns Using Machine Learning Methods. - Georgios Liapis; Loukritira Stefanou; Ioannis P. Vlahavas (ICPRAM, 2023)

End-to-End Aspect Extraction and Aspect-Based Sentiment Analysis Framework for Low-Resource Languages. - Georgios Aivatoglou; Alexia Fytili; Georgios Arampatzis; Dimitrios Zaikis; Nikolaos Stylianou; Ioannis P. Vlahavas (IntelliSys (3), 2023)

Aristoxenus at SemEval-2023 Task 4: A Domain-Adapted Ensemble Approach to the Identification of Human Values behind Arguments. - Dimitrios Zaikis; Stefanos D. Stefanidis; Konstantinos Anagnostopoulos; Ioannis P. Vlahavas (SemEval@ACL, 2023)

Towards a Systems Pharmacology Ontology: the use of state-machines paradigm. - Achilleas Chytas; Nick Bassiliades; Ioannis P. Vlahavas; Pantelis Natsiavas (SWAT4HCLS, 2023)

From Pre-Training to Meta-Learning: A Journey in Low-Resource-Language Representation Learning. - Dimitrios Zaikis; Ioannis P. Vlahavas (IEEE Access, 2023)

Lucy-SKG: Learning to Play Rocket League Efficiently Using Deep Reinforcement Learning. - Vasileios Moschopoulos; Pantelis Kyriakidis; Aristotelis Lazaridis; Ioannis P. Vlahavas (CoRR, 2023)

Combining deep reinforcement learning with technical analysis and trend monitoring on cryptocurrency markets. - Vasilis Kochliaridis; Eleftherios Kouloumpris; Ioannis P. Vlahavas (Neural Comput. Appl., 2023)

ViT2 - Pre-training Vision Transformers for Visual Times Series Forecasting. - Vasileios Kochliaridis; Ioannis Pierros; Georgios Romanos; Ioannis P. Vlahavas (ICPR (7), 2024)

Predictive Maintenance Under Absence of Sensor Data. - Ioannis Pierros; Vasileios Kochliaridis; Eirini Apostolidou; Eleni Delimpasi; Vasileios Zygouris; Ioannis P. Vlahavas (AIAI (2), 2024)

Optimizing Pretrained Transformers for Autonomous Driving. - Vasileios Kochliaridis; Evaggelos Kostinoudis; Ioannis P. Vlahavas (SETN, 2024)

Machine Learning Methods for Emulating Personality Traits in a Gamified Environment. - Georgios Liapis; Anna Vordou; Ioannis P. Vlahavas (SETN, 2024)

SABER: Stochastic-Aware Bootstrap Ensemble Ranking for portfolio management. - Eleftherios Kouloumpris; Konstantinos Moutsianas; Ioannis P. Vlahavas (Expert Syst. Appl., 2024)

Diagnosing Attention Deficit Hyperactivity Disorder Using Machine Learning Methods on Serious Game-generated Data. - Eleftherios Kouloumpris; Aristotelis Lazaridis; Anestis Fachantidis; Ioannis P. Vlahavas (Int. J. Artif. Intell. Tools, 2024)

UNSURE - A machine learning approach to cryptocurrency trading. - Vasilis Kochliaridis; Anastasia Papadopoulou; Ioannis P. Vlahavas (Appl. Intell., 2024)

Scaling Multi-Frame Transformers for End-to-End Driving. - Vasileios Kochliaridis; Filippos Moumtzidellis; Ioannis P. Vlahavas (ICAART (3), 2025)

Markowitz random forest: Weighting classification and regression trees with modern portfolio theory. - Eleftherios Kouloumpris; Ioannis P. Vlahavas (Neurocomputing, 2025)

TransformDDI: The Transformer-Based Joint Multi-Task Model for End-to-End Drug-Drug Interaction Extraction. - Dimitrios Zaikis; Ioannis P. Vlahavas (IEEE J. Biomed. Health Informatics, 2025)

DACL+: domain-adapted contrastive learning for enhanced low-resource language representations in document clustering tasks. - Dimitrios Zaikis; Ioannis P. Vlahavas (Neural Comput. Appl., 2025)