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All Categories: 248 articles

[2013]  [2012]  [2011]  [2010]  [2009]  [2008]  [2007]  [2006]  [2005]  [<2005]

	2013
	T. Stavropoulos, K. Gottis, D. Vrakas, I. Vlahavas, “aWESoME: a Web Service Middleware for Ambient Intelligence”, Expert Systems With Applications, Elsevier, 2013.
	Year Total: 1
	2012
	C. Liaskos, G. Koutitas, I. Vlahavas, “Virtual Laboratories on Wireless Communications: A contemporary, extensible approach”, IEEE EDUCON, IEEE, Morocco, 2012.
	A. Fachantidis, I. Partalas, G. Tsoumakas, I. Vlahavas, “Transferring Task Models in Reinforcement Learning Agents”, Neurocomputing, Elsevier, 2012.
	I. Kavakiotis, G. Tzanis, I. Vlahavas, “Mining Frequent Patterns and Association Rules from Biological Data”, Biological Knowledge Discovery Handbook: Preprocessing, Mining and Postprocessing of Biological Data, Mourad Elloumi and Albert Y. Zomaya (Eds.), Wiley-Blackwell (John Wiley & Sons), 2012.
	G. Meditskos, N. Bassiliades, D. Vrakas, I. Vlahavas, “IRISPortal: A Semantic Portal for Industrial Risk Cases Management”, Proc. 2nd International Conference on Web Intelligence, Mining and Semantics (WIMS’ 12), Dumitru Dan Burdescu, Rajendra Akerkar, Costin Badica (Ed.), ACM, pp. 243-250, Craiova, Romania, June 13-15, 2012, 2012.
	E. Spyromitros-Xioufis, S. Papadopoulos, I. Kompatsiaris, G. Tsoumakas, I. Vlahavas, “An empirical study on the combination of surf features with VLAD vectors for image search”, 13th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS), IEEE, 2012.
	G. Tzanis, C. Berberidis, I. Vlahavas, “StackTIS: A Stacked Generalization Approach for Effective Prediction of Translation Initiation Sites”, Computers in Biology and Medicine, Elsevier, Vol. 42, No. 1, pp. 61-69, 2012.
	K. Chatzidimitriou, I. Partalas, P. Mitkas, I. Vlahavas, “Transferring Evolved Reservoir Features in Reinforcement Learning Tasks”, Recent Advances in Reinforcement Learning, Lecture Notes in Computer Science, Springer-Verlag, 7188, pp. 213-224, 2012.
	O. Hatzi, D. Vrakas, M. Nikolaidou, N. Bassiliades, D. Anagnostopoulos, I. Vlahavas, “An Integrated Approach to Automated Semantic Web Service Composition through Planning”, IEEE Transactions on Services Computing, IEEE, 5(3), 2012. (4)
	Year Total: 8
	2011
	K. Trohidis, G. Tsoumakas, G. Kalliris, I. Vlahavas, “Multi-label classification of music by emotion”, EURASIP Journal on Audio, Speech, and Music Processing, 2011:4, 2011.
	T. Stavropoulos, D. Vrakas, I. Vlahavas, “A Survey of Service Composition in Ambient Intelligence Environments”, Artificial Intelligence Review, Springer, 2011. (2)
	A. Fachantidis, I. Partalas, M. Taylor, I. Vlahavas, “Transfer Learning via Multiple Inter-Task Mappings”, Accepted for presentation at the 9th European Workshop on Reinforcement Learning and to be published in the Workshop Proceedings, 2011.
	G. Boutsioukis, I. Partalas, I. Vlahavas, “Transfer Learning in Multi-agent Reinforcement Learning Domains”, Accepted for presentation at the 9th European Workshop on Reinforcement Learning and to be published in the Workshop Proceedings, 2011.
	E. Spyromitros-Xioufis, K. Sechidis, G. Tsoumakas, I. Vlahavas, “MLKD's Participation at the CLEF 2011 Photo Annotation and Concept-Based Retrieval Tasks”, ImageClef Lab of CLEF 2011 Conference on Multilingual and Multimodal Information Access Evaluation, Amsterdam, Netherlands, 2011.
	E. Spyromitros-Xioufis, E. Stachtiari, G. Tsoumakas, I. Vlahavas, “A Hybrid Approach for Cold-start Recommendations of Videolectures”, Proceedings ECML/PKDD 2011 Discovery Challenge Workshop, Athens, Greece, 2011.
	T. Stavropoulos, D. Vrakas, A. Arvanitidis, I. Vlahavas, “A System for Energy Savings in an Ambient Intelligence Environment”, Proc. ICT-GLOW 2011, Toulouse, France, 2011. (1)
	A. Fachantidis, I. Partalas, G. Tsoumakas, I. Vlahavas, “Transferring Models in Hybrid Reinforcement Learning Agents”, Accepted for presentation at the 12th Conference on Engineering Application of Neural Networks and to be published in the Conference Proceedings, 2011.
	K. Sechidis, G. Tsoumakas, I. Vlahavas, “On the Stratification of Multi-Label Data”, Proceedings of ECML PKDD 2011, Athens, Greece, 2011.
	E. Spyromitros-Xioufis, G. Tsoumakas, I. Vlahavas, “Multi-label Learning Approaches for Music Instrument Recognition”, Proc. 9th International Symposium on Methodologies for Intelligent Systems (ISMIS 2011), Warsaw, Poland, 2011.
	E. Spyromitros-Xioufis, M. Spiliopoulou, G. Tsoumakas, I. Vlahavas, “Dealing with Concept Drift and Class Imbalance in Multi-label Stream Classification”, Proc. 22nd International Conference on Artificial Intelligence (IJCAI 2011), AAAI press, Barcelona, Spain, 2011. (8)
	G. Tzanis, I. Kavakiotis, I. Vlahavas, “PolyA-iEP: A Data Mining Method for the Effective Prediction of Polyadenylation Sites”, Expert Systems with Applications (to appear), Elsevier, 2011.
	G. Tsoumakas, E. Spyromitros-Xioufis, J. Vilcek, I. Vlahavas, “Mulan: A Java Library for Multi-Label Learning”, Journal of Machine Learning Research, 12, pp. 2411-2414, 2011. (19)
	G. Tsoumakas, I. Katakis, I. Vlahavas, “Random k-Labelsets for Multi-Label Classification”, IEEE Transactions on Knowledge and Data Engineering, IEEE, 23(7), pp. 1079-1089, 2011. (25)
	I. Vlahavas, P. Kefalas, N. Bassiliades, F. Kokkoras, I. Sakellariou, “Artificial Intelligence, 3rd edition (in Greek - Τεχνητή Νοημοσύνη, Γ' Έκδοση)”, Book, Έκδοση/Διάθεση: Εκδόσεις Πανεπιστημίου Μακεδονίας, ISBN 978-960-8396-64-7, 2011. (22)
	Year Total: 15
	2010
	I. Vlahavas, N. Bassiliades, “Special issue on Artificial Intelligence Techniques for Pervasive Computing: Preface”, International Journal on Artificial Intelligence Tools, World Scientific, 19(2), pp. 133-135, 2010.
	G. Tsoumakas, E. Spyromitros-Xioufis, J. Vilcek, I. Vlahavas, “Mulan: A Java Library for Multi-Label Learning”, ICML 2010 Workshop on Machine Learning Open Source Software (MLOSS 2010), Demo/Poster Session, Haifa, Israel, 2010.
	O. Hatzi, D. Vrakas, N. Bassiliades, D. Anagnostopoulos, I. Vlahavas, “The PORSCE II Framework: Using AI Planning for Automated Semantic Web Service Composition”, The Knowledge Engineering Review, Cambridge University Press, 2010. (1)
	F. Markatopoulou, G. Tsoumakas, I. Vlahavas, “Instance-Based Ensemble Pruning via Multi-Label Classification”, 22nd International Conference on Tools with Artificial Intelligence, 27-29 October 2010., IEEE, Arras, France, 2010. (2)
	M. Ioannou, G. Sakkas, G. Tsoumakas, I. Vlahavas, “Obtaining Bipartitions from Score Vectors for Multi-Label Classification”, 22nd International Conference on Tools with Artificial Intelligence, 27-29 October 2010., IEEE, Arras, France, 2010. (4)
	T. Stavropoulos, A. Tsioliaridou, G. Koutitas, D. Vrakas, I. Vlahavas, “System Architecture for a Smart University Building”, ICANN '10 Intelligent Environmental Monitoring, Modelling and Management Systems for better QoL Workshop, Thessaloniki, 2010. (3)
	M. Befa, E. Kontopoulos, N. Bassiliades, C. Berberidis, I. Vlahavas, “Deploying a Semantically-Enabled Content Management System in a State University”, Proceedings of EGOVIS 2010, K. N. Andersen et al. (Eds.), Springer, Heidelberg, LNCS 6267, pp. 257-264, 2010. (3)
	G. Tzanis, I. Vlahavas, “Mining for Mutually Exclusive Gene Expressions”, 6th Hellenic Conference on Artificial Intelligence, S. Konstantopoulos, S. Perantonis, et al. (Ed.), Springer Verlag, Athens, Greece, 2010.
	I. Partalas, G. Tsoumakas, I. Vlahavas, “An Ensemble Uncertainty Aware Measure for Directed Hill Climbing Ensemble Pruning”, Machine Learning, Springer, 2010. (7)
	O. Hatzi, D. Vrakas, N. Bassiliades, D. Anagnostopoulos, I. Vlahavas, “Semantic Awareness in Automated Web Service Composition through Planning”, 6th Hellenic Conference on Artificial Intelligence (SETN 2010), Springer, LNAI, Vol. 6040, pp. 123-132, Athens, Greece, 4-7 May, 2010. (4)
	O. Hatzi, D. Vrakas, N. Bassiliades, D. Anagnostopoulos, I. Vlahavas, “A visual programming system for automated problem solving”, Expert Systems with Applications, Elsevier, 37(6), pp. 4611-4625, 2010. (7)
	G. Tsoumakas, I. Katakis, I. Vlahavas, “Mining Multi-label Data”, Data Mining and Knowledge Discovery Handbook, Part 6, O. Maimon, L. Rokach (Ed.), Springer, 2nd edition, pp. 667-685, 2010. (122)
	I. Katakis, G. Tsoumakas, I. Vlahavas, “Tracking Recurring Contexts using Ensemble Classifiers: An Application to Email Filtering”, Knowledge and Information Systems, Springer, 22(3), pp. 371-391, 2010. (28)
	Year Total: 13
	2009
	L. Iliadis, I. Maglogiannis, G. Tsoumakas, I. Vlahavas, M. Bramer, “Artificial Intelligence Applications and Innovations: Proceedings of the 5th IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI'2009)”, ISBN: 978-1441902207, Springer, 2009.
	N. Bassiliades, I. Antoniades, E. Hatzikos, I. Vlahavas, G. Koutitas, “An Intelligent System for Monitoring and Predicting Water Quality”, Proceedings of the European conference TOWARDS eENVIRONMENT, pp. 534-542, Prague, Czech Republic, March 2009, 2009.
	O. Hatzi, G. Meditskos, D. Vrakas, N. Bassiliades, D. Anagnostopoulos, I. Vlahavas, “PORSCE II: Using Planning for Semantic Web Service Composition”, 3rd International Competition on Knowledge Engineering for Planning and Scheduling, ICAPS-09, Roman Bartak, Simone Frattini, Lee McCluskey (Ed.), pp. 38-45, Thessaloniki, Greece, 2009. (6)
	O. Hatzi, G. Meditskos, D. Vrakas, N. Bassiliades, D. Anagnostopoulos, I. Vlahavas, “Semantic Web Service Composition Using Planning and Ontology Concept Relevance”, 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, pp. 418-421, Milan, Italy, 2009. (3)
	G. Tsoumakas, A. Dimou, E. Spyromitros-Xioufis, V. Mezaris, I. Kompatsiaris, I. Vlahavas, “Correlation-Based Pruning of Stacked Binary Relevance Models for Multi-Label Learning”, Proceedings of the 1st International Workshop on Learning from Multi-Label Data (MLD'09), G. Tsoumakas, Min-Ling Zhang, Zhi-Hua Zhou (Ed.), pp. 101-116, Bled, Slovenia, 2009. (12)
	E. Hatzikos, J. Hatonen, N. Bassiliades, I. Vlahavas, E. Fournou, “Applying adaptive prediction to sea-water quality measurements”, Expert Systems with Applications, Elsevier, Vol. 36, Iss. 3, Part 2, pp. 6773-6779, 2009. (4)
	A. Dimou, G. Tsoumakas, V. Mezaris, I. Kompatsiaris, I. Vlahavas, “An Empirical Study Of Multi-Label Learning Methods For Video Annotation”, 7th International Workshop on Content-Based Multimedia Indexing, IEEE, Chania, Crete, 2009. (15)
	I. Partalas, G. Tsoumakas, K. Tzevanidis, I. Vlahavas, “Transferring Experience in Reinforcement Learning through Task Decomposition”, International Conference on Autonomous Agents and Multiagent Systems, 2009.
	G. Tsoumakas, I. Partalas, I. Vlahavas, “An Ensemble Pruning Primer”, Supervised and Unsupervised Methods and Their Applications to Ensemble Methods (SUEMA 2009), Oleg Okun and Giorgio Valentini (Eds.), Springer Verlag, Volume 245/2009, pp. 1-13, 2009. (11)
	I. Katakis, G. Meditskos, G. Tsoumakas, N. Bassiliades, I. Vlahavas, “On the Combination of Textual and Semantic Descriptions for Automated Semantic Web Service Classification”, Proceedings of the 5th IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI 2009), Springer, Thessaloniki, 2009. (5)
	G. Tzanis, C. Berberidis, I. Vlahavas, “Machine Learning and Data Mining in Bioinformatics”, Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends, L.C. Rivero, J.H. Door, V.E. Ferraggine (Ed.), IGI Global, 2009.
	I. Partalas, G. Tsoumakas, I. Vlahavas, “Pruning an Ensemble of Classifiers via Reinforcement Learning”, Neurocomputing, Elsevier, 72(7-9), pp. 1900-1909, 2009. (12)
	I. Katakis, G. Tsoumakas, E. Banos, N. Bassiliades, I. Vlahavas, “An Adaptive Personalized News Dissemination System”, Journal of Intelligent Information Systems, Springer, 32 (2), pp. 191-201, 2009. (22)
	Year Total: 13
	2008
	F. Kokkoras, E. Lampridou, K. Ntonas, I. Vlahavas, “Summarization of Multiple, Metadata Rich, Product Reviews”, Workshop on Mining Social Data (MSoDa), 18th European Conference on Artificial Intelligence (ECAI '08), Patras, Greece, 2008. (1)
	F. Kokkoras, E. Lampridou, K. Ntonas, I. Vlahavas, “MOpiS: a Multiple Opinion Summarizer”, Proc. 5th Hellenic Conference on Artificial Intelligence, LNAI 5138, J. Darzentas et al. (Ed.), Springer-Verlag Berlin Heidelberg, pp. 110-122, Syros, Greece, 2008. (4)
	I. Katakis, G. Tsoumakas, I. Vlahavas, “Multilabel Text Classification for Automated Tag Suggestion”, Proceedings of the ECML/PKDD 2008 Discovery Challenge, Antwerp, 2008. (38)
	G. Tzanis, I. Kavakiotis, I. Vlahavas, “Polyadenylation Site Prediction Using Interesting Emerging Pattern”, 8th IEEE International Conference on Bioinformatics and Bioengineering, IEEE, Athens, Greece, 2008.
	G. Tsoumakas, I. Katakis, I. Vlahavas, “Effective and Efficient Multilabel Classification in Domains with Large Number of Labels”, Proc. ECML/PKDD 2008 Workshop on Mining Multidimensional Data (MMD'08), Antwerp, Belgium, 2008. (37)
	E. Spyromitros-Xioufis, G. Tsoumakas, I. Vlahavas, “An Empirical Study of Lazy Multilabel Classification Algorithms”, Proc. 5th Hellenic Conference on Artificial Intelligence (SETN 2008), Springer, LNAI Vol.5138, pp. 401-406, Syros, Greece, 2008. (18)
	O. Hatzi, G. Meditskos, D. Vrakas, N. Bassiliades, D. Anagnostopoulos, I. Vlahavas, “A Synergy of Planning and Ontology Concept Ranking for Semantic Web Service Composition”, 11th Ibero-American Conference on Artificial Intelligence, H. Geffner et al. (Ed.), Springer-Verlag, LNAI 5290, pp. 42-51, Lisbon, Portugal, 2008. (2)
	I. Partalas, I. Feneris, I. Vlahavas, “A Hybrid Multiagent Reinforcement Learning Approach using Strategies and Fusion”, International Journal of Artificial Intelligence Tools (IJAIT), World Scientific, 17 (5), pp. 945-961, 2008.
	K. Trohidis, G. Tsoumakas, G. Kalliris, I. Vlahavas, “Multilabel Classification of Music into Emotions”, Proc. 9th International Conference on Music Information Retrieval (ISMIR 2008), pp. 325-330, Philadelphia, PA, USA, 2008. (116)
	G. Tsoumakas, I. Partalas, I. Vlahavas, “A Taxonomy and Short Review of Ensemble Selection”, ECAI, Workshop on Supervised and Unsupervised Ensemble Methods and Their Applications, Patras, Greece, 2008. (10)
	I. Partalas, G. Tsoumakas, E. Hatzikos, I. Vlahavas, “Greedy Regression Ensemble Selection: Theory and an Application to Water Quality”, Information Sciences, Elsevier, 178(20), pp. 3867-3879, 2008. (13)
	I. Partalas, G. Paliouras, I. Vlahavas, “Reinforcement Learning with Classifier Selection for Focused Crawling”, 18th European Conference on Artificial Intelligence, IOS Press, pp. 759-760, 2008. (1)
	I. Partalas, G. Tsoumakas, I. Vlahavas, “Focused Ensemble Selection: A Diversity-Based Method for Greedy Ensemble Selection”, 18th European Conference on Artificial Intelligence, IOS Press, pp. 117-121, Patras, Greece, 2008. (11)
	I. Katakis, G. Tsoumakas, I. Vlahavas, “An Ensemble of Classifiers for coping with Recurring Contexts in Data Streams”, 18th European Conference on Artificial Intelligence, IOS Press, pp. 763-764, Patras, Greece, 2008. (14)
	S. Bibi, G. Tsoumakas, I. Stamelos, I. Vlahavas, “Regression via Classification applied on Software Defect Prediction”, Expert Systems with Applications, Elsevier, 34(3), pp. 2091-2101, 2008. (16)
	I. Partalas, D. Vrakas, I. Vlahavas, “Reinforcement Learnign and Automated Planning: A Survey”, Artificial Intelligence for Advanced Problem Solving Techniques, D. Vrakas and I. Vlahavas (Eds.), IGI, pp. 148-165, 2008. (2)
	E. Kontopoulos, D. Vrakas, F. Kokkoras, N. Bassiliades, I. Vlahavas, “An Ontology-based Planning System for e-Course Generation”, Expert Systems with Applications, Elsevier, 35 (1-2), pp. 398-406, 2008. (55)
	E. Hatzikos, G. Tsoumakas, G. Tzanis, N. Bassiliades, I. Vlahavas, “An Empirical Study of Sea Water Quality Prediction”, Knowledge-Based Systems, Elsevier, 21(6), pp. 471-478, 2008. (8)
	G. Tsoumakas, I. Vlahavas, “Distributed Data Mining”, Encyclopedia of Data Warehousing and Mining - 2nd Edition, John Wang (Ed.), Idea Group Reference, pp. 709-715, 2008. (5)
	Year Total: 19
	2007
	G. Hondris, I. Vlahavas, S. Demetriadis, “Negotiation of meaning and digital textbooks in the CLIL classroom.”, Diverse Contexts – Converging Goals, CLIL in Europe, David Marsh, Dieter Wolff (Ed.), Peter Lang Publications, pp. 319-330, 2007.
	O. Hatzi, D. Vrakas, N. Bassiliades, D. Anagnostopoulos, I. Vlahavas, “VLEPpO: A Visual Language for Problem Representation”, 26th Workshop of the UK Planning and Scheduling Special Interest Group, Roman Bartak (Ed.), pp. 60 - 66, Prague, Czech Republic, 2007. (1)
	D. Vrakas, I. Vlahavas, “Eds”, Artificial Intelligence for Advanced Problem Solving Techniques, IGI, 2007. (13)
	O. Hatzi, D. Vrakas, N. Bassiliades, D. Anagnostopoulos, I. Vlahavas, “Visual Representation of Web Service Composition Problems through VLEPpO”, International Workshop on Intelligent Web Based Tools, 19th IEEE International conference on Tools with Artificial Intelligence, Juan D. Velasquez (Ed.), pp. 42 - 49, Patras, Greece, 2007. (1)
	I. Partalas, I. Feneris, I. Vlahavas, “Multi-Agent Reinforcement Learning using Strategies and Voting”, Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), (to be presented), IEEE, 2007. (2)
	G. Tzanis, I. Vlahavas, “Accurate Classification of SAGE Data Based on Frequent Patterns of Gene Expression”, Proceedings of the IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), IEEE, Patras, Greece, 2007. (1)
	G. Tzanis, I. Vlahavas, “Mining High Quality Clusters of SAGE Data”, Proceedings of the 2nd VLDB Workshop on Data Mining in Bioinformatics, Vienna, Austria, 2007.
	G. Tsoumakas, I. Vlahavas, “Random k-Labelsets: An Ensemble Method for Multilabel Classification”, Proceedings of the 18th European Conference on Machine Learning (ECML 2007), J.N. Kok, J. Koronacki, R.L. de Mantaras, S. Matwin, D. Mladenic, A. Skowron (Ed.), Springer Verlag, LNAI 4701, pp. 406-417, Warsaw, Poland, 2007. (111)
	G. Tzanis, C. Berberidis, I. Vlahavas, “MANTIS: A Data Mining Methodology for Effective Translation Initiation Site Prediction”, Proceedings of the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE, Lyon, France, 2007.
	I. Partalas, E. Hatzikos, G. Tsoumakas, I. Vlahavas, “Ensemble Selection for Water Quality Prediction”, Proceedings of the 10th International Conference on Engineering Applications of Neural Networks, Thessaloniki, 2007. (3)
	F. Kokkoras, N. Bassiliades, I. Vlahavas, “Cooperative CG-Wrappers for Web Content Extraction”, Proc. 15th International Conference on Conceptual Structures (ICCS '07), U. Priss, S. Polovina, and R. Hill (Eds.), Springer-Verlag Berlin Heidelberg, LNAI 4604, pp. 476-479, Sheffield, UK, 2007.
	D. Vrakas, O. Hatzi, N. Bassiliades, D. Anagnostopoulos, I. Vlahavas, “A Visual Programming Tool for Designing Planning Problems for Semantic Web Service Composition”, Visual Languages for Interactive Computing: Definitions and Formalizations, F. Ferri (Ed.), Idea Group Publishing, pp. 302 - 326, 2007. (1)
	E. Hatzikos, N. Bassiliades, L. Asmanis, I. Vlahavas, “Monitoring Water Quality through a Telematic Sensor Network and a Fuzzy Expert System”, Expert Systems, Blackwell, 24(3), pp. 143-161, 2007. (11)
	D. Vrakas, G. Tsoumakas, F. Kokkoras, N. Bassiliades, I. Vlahavas, D. Anagnostopoulos, “PASER: A Curricula Synthesis System based on Automated Problem Solving”, International Journal on Teaching and Case Studies, Special Issue on "Information Systems: The New Research Agenda, the Emerging Curriculum and the New Teaching Paradigm", Inderscience, Vol. 1, Nos. 1/2, pp. 159-170, 2007. (15)
	C. Berberidis, I. Vlahavas, “Detection and Prediction of Rare Events in Transaction Databases”, International Journal on Artificial Intelligence Tools, World Scientific Publishing Company, 16(5), pp. 829 - 848, 2007.
	G. Tsoumakas, I. Vlahavas, “An interoperable and scalable Web-based system for classifier sharing and fusion”, Expert Systems with Applications, Elsevier, 33(3), pp. 716-724, 2007. (5)
	Year Total: 16
	2006
	G. Tzanis, C. Berberidis, I. Vlahavas, “A Novel Data Mining Approach for the Accurate Prediction of Translation Initiation Sites”, 7th International Symposium on Biological and Medical Data Analysis, Nicos Maglaveras et al. (Ed.), Springer-Verlag, pp. 92-103, Thessaloniki, Greece, 2006. (1)
	G. Tzanis, C. Berberidis, I. Vlahavas, “On the Discovery of Mutually Exclusive Items in a Market Basket Database”, 2nd ADBIS Workshop on Data Mining and Knowledge Discovery, pp. 1-12, Thessaloniki, Greece, 2006. (1)
	E. Banos, I. Katakis, N. Bassiliades, G. Tsoumakas, I. Vlahavas, “PersoNews: A Personalized News Reader Enhanced by Machine Learning and Semantic Filtering”, 5th International Conference on Ontologies, DataBases, and Applications of Semantics (ODBASE 2006), R. Meersman, Z. Tari (Ed.), Springer-Verlag, pp. 975-982, Montpellier, France, 2006. (16)
	I. Katakis, G. Tsoumakas, I. Vlahavas, “Dynamic Feature Space and Incremental Feature Selection for the Classification of Textual Data Streams”, ECML/PKDD-2006 International Workshop on Knowledge Discovery from Data Streams, pp. 107-116, Berlin, Germany, 2006. (14)
	G. Tzanis, I. Katakis, I. Partalas, I. Vlahavas, “Modern Applications of Machine Learning”, Proceedings of the 1st Annual SEERC Doctoral Student Conference, Thessaloniki, Greece, 2006.
	G. Tsoumakas, I. Katakis, I. Vlahavas, “A Review of Multi-Label Classification Methods”, 2nd ADBIS Workshop on Data Mining and Knowledge Discovery, pp. 99-109, 2006. (9)
	G. Tzanis, I. Vlahavas, “Prediction of Translation Initiation Sites Using Classifier Selection”, Proc. 4th Hellenic Conference on Artificial Intelligence (SETN-06), G. Antoniou, G. Potamias, D. Plexousakis, C. Spyropoulos (Ed.), Springer-Verlag, LNAI 3955, pp. 367-377, Heraklion, Crete, 18-20 May, 2006. (4)
	I. Partalas, G. Tsoumakas, I. Katakis, I. Vlahavas, “Ensemble Pruning using Reinforcement Learning”, Proc. 4th Hellenic Conference on Artificial Intelligence (SETN-06), G. Antoniou, G. Potamias, D. Plexousakis, C. Spyropoulos (Ed.), Springer-Verlag, LNAI 3955, pp. 301-310, Heraklion, Crete, 18-20 May, 2006. (11)
	S. Bibi, G. Tsoumakas, I. Stamelos, I. Vlahavas, “Software Defect Prediction Using Regression via Classification”, Proc. 4th ACS/IEEE International Conference on Computer Systems and Applications, AICCSA '06, (accepted for presentation), pp. 330- 336, 2006. (10)
	D. Vrakas, F. Kokkoras, N. Bassiliades, I. Vlahavas, “Towards Automatic Synthesis of Educational Resources through Automated Planning”, Proc. 4th Hellenic Conference on Artificial Intelligence (SETN-06), Grigoris Antoniou, George Potamias, Costas Spyropoulos, Dimitris Plexousakis (Ed.), Springer Berlin, LNAI 3955, pp. 421-431, Heraklion, Crete, 18-20 May, 2006. (2)
	I. Katakis, G. Tsoumakas, I. Vlahavas, “Email Mining: Emerging Techniques for Email Management”, Web Data Management Practices: Emerging Techniques and Technologies, Athena Vakali, George Pallis (Ed.), Idea Group Publishing, pp. 219-240, 2006. (12)
	N. Bassiliades, G. Antoniou, I. Vlahavas, “A Defeasible Logic Reasoner for the Semantic Web”, International Journal on Semantic Web and Information Systems, Amit Sheth , Miltiadis D. Lytras (Ed.), IDEA Group Publishing, Vol. 2, No. 1, pp. 1-41, 2006. (38)
	I. Sakellariou, I. Vlahavas, I. Futo, Z. Pasztor, J. Szeredi, “Communicating Sequential Processes for Distributed Constraint Solving”, Information Sciences, Elsevier, 176(5), pp. 490-521, 2006. (1)
	N. Bassiliades, I. Vlahavas, “R-DEVICE: An Object-Oriented Knowledge Base System for RDF Metadata”, International Journal on Semantic Web and Information Systems, Amit Sheth , Miltiadis D. Lytras (Ed.), Idea Group, Vol. 2, No. 2, pp. 24-90, 2006. (3)
	Year Total: 14
	2005
	S. Konias, G. Gogou, P. Bamidis, I. Vlahavas, N. Maglaveras, “Predicting missing values in a home care database using an adaptive uncertainty rule method.”, Methods Inf Med, 44 (5), pp. 639-646, 2005.
	S. Konias, I. Chouvarda, I. Vlahavas, N. Maglaveras, “A novel approach for incremental uncertainty rule generation from databases with missing values handling: Application to dynamic medical databases.”, Med Inform Internet Med, 30 (3), pp. 211-225, 2005.
	I. Sakellariou, G. Eleftherakis, I. Vlahavas, P. Kefalas, “Animating Formal Models in a Communicating Sequential Process Platform”, 10th Panhellenic Conference on Informatics, Local Proceedings, P. Bozanis and E. Houstis (Eds.), pp. 174-183, 2005.
	E. Hatzikos, L. Anastasakis, N. Bassiliades, I. Vlahavas, “Applying neural networks with active neurons to sea-water quality measurements”, 2nd Int. Scientific Conf. on Computer Science, Plamenka Borovska, Sofoklis Christofordis (Ed.), IEEE Computer Society, Bulgarian Section, 30th Sep-2nd Oct 2005, Halkidiki, Greece, 2005. (5)
	D. Vrakas, I. Vlahavas, “Hybrid AcE: Combining Search Directions for Heuristic Planning”, Computational Intelligence, Blackwell, 21(3), pp. 306-331, 2005. (3)
	D. Vrakas, I. Vlahavas, “A Visualization Environment for Planning”, International Journal on Artificial Intelligence Tools, World Scientific, Vol. 14(6), pp. 975-998, 2005. (2)
	S. Diplaris, G. Tsoumakas, P. Mitkas, I. Vlahavas, “Protein Classification with Multiple Algorithms”, 10th Panhellenic Conference on Informatics (PCI 2005), P. Bozanis and E.N. Houstis (Eds.), Springer-Verlag, LNCS 3746, pp. 448-456, Volos, Greece, 11-13 November, 2005. (39)
	N. Bassiliades, E. Kontopoulos, G. Antoniou, I. Vlahavas, “A Graphical Rule Authoring Tool for Defeasible Reasoning in the Semantic Web”, 10th Panhellenic Conference on Informatics (PCI 2005), P. Bozanis and E.N. Houstis (Eds.), Springer-Verlag, LNCS 3746, Volos, Greece, 11-13 November, 2005.
	I. Katakis, G. Tsoumakas, I. Vlahavas, “On the Utility of Incremental Feature Selection for the Classification of Textual Data Streams”, 10th Panhellenic Conference on Informatics (PCI 2005), P. Bozanis and E.N. Houstis (Eds.), Springer-Verlag, LNCS 3746, pp. 338-348, Volos, Greece, 11-13 November, 2005. (7)
	G. Tzanis, C. Berberidis, A. Alexandridou, I. Vlahavas, “Improving the Accuracy of Classifiers for the Prediction of Translation Initiation Sites in Genomic Sequences”, 10th Panhellenic Conference on Informatics (PCI'2005), P. Bozanis and E.N. Houstis (Eds.), Springer-Verlag, LNCS 3746, pp. 426-436, Volos, Greece, 11-13 November, 2005. (6)
	C. Berberidis, G. Tzanis, I. Vlahavas, “Mining for Contiguous Frequent Itemsets in Transaction Databases”, IEEE 3rd International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS'2005), IEEE, pp. 679-685, Sofia, Bulgaria, 2005. (1)
	G. Tzanis, C. Berberidis, I. Vlahavas, “Biological Data Mining”, Encyclopedia of Database Technologies and Applications, Laura C. Rivero, Jorge H. Doorn and Viviana E. Ferraggine (Eds.), Idea Group Publishing, pp. 35-41, 2005. (2)
	G. Tsoumakas, L. Angelis, I. Vlahavas, “Selective Fusion of Heterogeneous Classifiers”, Intelligent Data Analysis, IOS Press, 9(6), pp. 511-525, 2005. (4)
	I. Vlahavas, D. Vrakas, “Eds.”, Intelligent Techniques for Planning, IDEA Group Publishing, 2005. (4)
	D. Vrakas, G. Tsoumakas, N. Bassiliades, I. Vlahavas, “HAPrc: An Automatically Configurable Planning System”, AI Communications, 18 (1), pp. 41-60, 2005. (3)
	C. Berberidis, I. Vlahavas, “Mining for weak periodic signals in time series databases”, Intelligent Data Analysis, Dr. F. Famili (Ed.), IOS Press, 9(1), 2005.
	D. Vrakas, G. Tsoumakas, N. Bassiliades, I. Vlahavas, “Machine Learning for Adaptive Planning”, Intelligent Techniques for Planning, I. Vlahavas and D. Vrakas (Eds.), IDEA GROUP PUBLISHING, Ch. 3, pp. 90-120, 2005. (3)
	N. Bassiliades, D. Anagnostopoulos, I. Vlahavas, “Web Service Composition Using a Deductive XML Rule Language”, Distributed and Parallel Databases, Ahmed K. Elmagarmid (Ed.), Kluwer, Vol. 17, No. 2, pp. 135-178, 2005. (6)
	F. Kokkoras, N. Bassiliades, I. Vlahavas, “Aggregator: A Knowledge based Comparison Chart Builder for e-Shopping”, Intelligent Knowledge-Based Systems: Business and Technology in the New Millennium, C.T. Leondes (Ed.), Kluwer Academic Publishers, Vol. 1: Knowledge-Based Systems, Ch. 6, pp. 140-163, 2005.
	Year Total: 19
	<2005
	I. Sakellariou, I. Vlahavas, “Simple Distributed Filtering on a CLP Platform”, 3rd Hellenic Conference on Artificial Intelligence (Companion Volume), G. Vouros and T. Panagiotopoulos (Eds.), pp. 318-327, 2004.
	S. Konias, N. Maglaveras, I. Vlahavas, “Predicting Missing Parts in Time Series Using Uncertainty Theory”, Biological and Medical Data Analysis: 5th International Symposium, ISBMDA 2004, J. M. Barreiro, F. Martin-Sanchez, V. Maojo, et al. (Ed.), Springer-Verlag, 3337, pp. 313-321, Barcelona, Spain, November 18-19, 2004, 2004. (1)
	N. Bassiliades, G. Antoniou, I. Vlahavas, “DR-DEVICE: A Defeasible Logic RDF Rule Language”, 3rd International Semantic Web Conference (ISWC2004), Demonstrations Program, Hiroshima, Japan, 7-11 Nov. 2004, 2004.
	C. Berberidis, L. Angelis, I. Vlahavas, “PREVENT: An algorithm for mining inter-transactional patterns for the prediction of rare events”, 2nd European Starting AI Researcher Symposium (STAIRS' 04), IOS Press, pp. 128-136, Valencia, Spain, 2004. (2)
	N. Bassiliades, G. Antoniou, I. Vlahavas, “A Defeasible Logic Reasoner for the Semantic Web”, Third International Workshop on Rules and Rule Markup Languages for the Semantic Web (RuleML 2004), G. Antoniou, H. Boley (Ed.), Springer-Verlag, LNCS 3323, pp. 49-64, Hiroshima, Japan, 8 Nov. 2004, 2004. (17)
	N. Bassiliades, I. Vlahavas, “R-DEVICE: A Deductive RDF Rule Language”, Third International Workshop on Rules and Rule Markup Languages for the Semantic Web (RuleML 2004), G. Antoniou, H. Boley (Ed.), Springer-Verlag, LNCS 3323, pp. 65-80, Hiroshima, Japan, 8 Nov. 2004, 2004. (5)
	N. Bassiliades, G. Antoniou, I. Vlahavas, “DR-DEVICE: A Defeasible Logic System for the Semantic Web”, Second International Workshop on Principles and Practice of Semantic Web Reasoning (PPSWR04), Sebastian Schaffert (Ed.), Springer-Verlag, LNCS 3208, pp. 134-148, St Malo, France, 6-10 Sept., 2004. (33)
	G. Tsoumakas, G. Meditskos, D. Vrakas, N. Bassiliades, I. Vlahavas, “Web Services for Adaptive Planning”, Proc. ECAI04 Workshop on Planning and Scheduling: Bridging Theory to Practice, D. Borrajo (Ed.), IOS Press, Valencia Spain, 2004. (4)
	G. Tsoumakas, I. Katakis, I. Vlahavas, “Effective Voting of Heterogeneous Classifiers”, Proc. European Conference on Machine Learning, ECML 04, Jean-Francois Boulicaut, Floriana Esposito, Fosca Giannoti, Dino Pedreschi (Ed.), LNAI 3201, pp. 465-476, Pisa, Italy, 2004. (28)
	C. Berberidis, L. Angelis, I. Vlahavas, “Inter-Transaction Association Rules Mining for Rare Events Prediction”, Proc. 3rd Hellenic Conference on Artificial Intellligence (SETN '04), Samos, Greece, 2004. (3)
	S. Demetriadis, I. Vlahavas, “Institutional efforts in tertiary education for promoting the integration of technology in instruction: a case study”, Proc. 5th International Conference on Information and Communication Technologies in Education (ICICTE), July 1-3, 2004, Samos, Greece, 2004.
	G. Tsoumakas, D. Vrakas, N. Bassiliades, I. Vlahavas, “Lazy Adaptive Multicriteria Planning”, Proc. 16th European Conference on Artificial Intelligence, ECAI 2004, R. Lopez de Mantaras and L. Saitta (Eds.), IOS Press, pp. 693-697, Valencia, Spain, 2004. (8)
	F. Kokkoras, N. Bassiliades, I. Vlahavas, “Modelling Information Extraction Wrappers with Conceptual Graphs”, Proc. (2nd Volume) 3rd Panhellenic Conference on Artificial Intelligence (SETN'04), Zitis Publications, ISBN 960-431-910-8, 5-8 May 2004, Samos, Greece, 2004. (1)
	I. Sakellariou, I. Vlahavas, “Distributed Singleton Consistency”, Journal of Experimental and Theoretical Artificial Intelligence, Taylor and Francis, 16(2), pp. 107-124, 2004.
	G. Tsoumakas, D. Vrakas, N. Bassiliades, I. Vlahavas, “Using the k-nearest problems for adaptive multicriteria planning”, Proc. 3rd Hellenic Conference on Artificial Intellligence (SETN '04), G. Vouros and T. Panayiotopoulos (Eds.), Springer-Verlag, LNAI 3025, pp. 132-141, Samos, Greece, 2004. (1)
	G. Tsoumakas, N. Bassiliades, I. Vlahavas, “A Knowledge-based Web Information System for the Federation of Distributed Classifiers”, Web Information Systems, D. Taniar and W. Rahayu (Eds.), Idea-Group Publishing, Chapter 8, pp. 271-308, 2004. (4)
	G. Tsoumakas, L. Angelis, I. Vlahavas, “Clustering Classifiers for Knowledge Discovery from Physically Distributed Databases”, Data and Knowledge Engineering, Elsevier, 49(3), pp. 223-242, 2004. (29)
	I. Vlahavas, “Preface of Special Issue on Knowledge Discovery from Distributed Information Sources”, Information Sciences, Elsevier, 155(3-4), pp. 179-180, 2003.
	D. Vrakas, I. Vlahavas, “ViTAPlan: A Visual Tool for Adaptive Planning”, Proceedings of the 9th Panhellenic Conference on Informatics, Thessaloniki, Greece, 2003. (4)
	D. Vrakas, I. Vlahavas, “A Graphical Interface for Adaptive Planning”, Proceedings of the Doctoral Consortium of the 13th International Conference on Automated Planning and Scheduling, AAAI, Trento, Italy, 2003.
	C. Berberidis, I. Vlahavas, “Periodicity Mining in Industrial Data: A Real World Example on Power Data”, First International Conference for Mathematics and Informatics for Industry (MII2003), Thessaloniki, 2003.
	N. Bassiliades, I. Vlahavas, “Capturing RDF Descriptive Semantics in an Object Oriented Knowledge Base System”, Proc. 12th Int. WWW Conf. (WWW2003), ACM, CDROM (Poster), Budapest, Hungary, May 2003, 2003. (4)
	N. Bassiliades, I. Vlahavas, “A Knowledge-based Framework for Building Web Service Domains”, 9th Panhellenic Conference on Informatics (PCI'2003), pp. 331-345, Thessaloniki, Greece, November 2003, 2003.
	F. Kokkoras, I. Vlahavas, “Metadata Aware Peer-to-Peer Agents for the e-Learner”, A "Hercma03" Symposium on "AI Techniques in e-Learning", accepted for publication, Athens, Greece, 2003.
	I. Sakellariou, F. Kokkoras, I. Vlahavas, “Applying a Distributed CLP Platform to a Workforce Management Problem”, Proc. 12th Conference on Intelligent Systems Application to Power Systems (ISAP '03), (electronic proceedings), Greece, 2003.
	N. Bassiliades, I. Vlahavas, A. Elmagarmid, E. Houstis, “Interbase-KB: A Knowledge-based Multidatabase Sustem for Data Warehousing”, IEEE Transactions on Knowledge and Data Engineering, Vol. 15, No. 5, pp. 1188-1205, 2003. (8)
	D. Vrakas, G. Tsoumakas, N. Bassiliades, I. Vlahavas, “Learning Rules for Adaptive Planning”, Proc. 13th International Conference on Automated Planning and Scheduling (ICAPS '03), pp. 82-91, Trento, Italy, June 2003, 2003. (14)
	S. Demetriadis, A. Barbas, A. Molohides, G. Palaigeorgiou, D. Psillos, I. Vlahavas, L. Tsoukalas, A. Pombortsis, “Cultures in Negotiation: Teachers' Acceptance/Resistance Attitudes Considering the Infusion of Technology into Schools”, Computers and Education, Elsevier, 41 (1), pp. 19-37, 2003. (31)
	F. Kokkoras, D. Sampson, I. Vlahavas, “A Knowledge Based Approach on Educational Metadata Use”, 8th Panhellenic Conference on Informatics, PCI 2001. Nicosia, Cyprus, November 8-10, 2001, Revised Selected Papers, Y. Manolopoulos, S. Evripidou and A. Kakas (Eds.), Springer-Verlag, LNCS 2563, pp. 201-216, 2003.
	N. Bassiliades, I. Vlahavas, D. Sampson, “Using Logic for Querying XML Data”, Web Powered Databases, D. Taniar and W. Rahayu (Eds.), IDEA Group Publishing, Ch. 1, pp. 1-35, 2003.
	N. Bassiliades, F. Kokkoras, I. Vlahavas, D. Sampson, “An Intelligent Educational Metadata Repository”, Intelligent Systems, Techniques and Applications, C.T. Leondes (Ed.), CRC Press, Vol. 4, Ch.12, pp. 297-337, 2003. (13)
	I. Refanidis, I. Vlahavas, “Multiobjective Heuristic State-Space Planning”, Artificial Intelligence, Elsevier, Vol. 145, Issues 1-2, pp. 1-32, 2003. (2)
	I. Vlahavas, C. Spyropoulos (eds.), “Methods and Applications of Artificial Intelligence”, LNAI, Springer - Verlag, 2308, 2002.
	D. Vrakas, G. Tsoumakas, I. Vlahavas, “Towards Adaptive Heuristic Planning through Machine Learning”, Proc. 21st Workshop of the UK Planning and Scheduling Special Interest Group (PlanSIG '02), 2002. (3)
	I. Vlahavas, P. Kefalas, N. Bassiliades, I. Refanidis, F. Kokkoras, I. Sakellariou, “Artificial Intelligence (in Greek - Τεχνητή Νοημοσύνη)”, Book, Gartaganis Publications, ISBN 960-7013-28-X, 2002. (11)
	N. Bassiliades, I. Vlahavas, “Intelligent Querying of Web Documents Using a Deductive XML Repository”, Proc. 2nd Hellenic Conference on AI (SETN '02), I. Vlahavas, C. Spyrolpoulos (Ed.), Springer-Verlag, LNAI 2308, pp. 437-448, 2002. (4)
	I. Vlahavas, N. Bassiliades, I. Sakellariou, et al., “ExperNet: An Intelligent Multi-Agent System for WAN Managemen”, IEEE Intelligent Systems, Vol. 17, No. 1, pp. 62-72, 2002. (17)
	I. Vlahavas, “MACLP: Multi Agent Constraint Logic Programming”, Information Sciences, Elsevier, Vol. 144 (1-4), pp. 127-142, 2002. (3)
	F. Kokkoras, H. Jiang, I. Vlahavas, A. Elmagarmid, E. Houstis, W. Aref, “Smart Video Text: A Conceptual Graph based Video Data Model”, ACM Multimedia Systems Journal, ACM - Springer, Vol. 8, No 4, pp. 328-338, 2002. (21)
	I. Refanidis, I. Vlahavas, “The MO-GRT System: Heuristic Planning with Multiple Criteria”, Proc. AIPS 2002 Workshop on Planning and Scheduling with Multiple Criteria, 2002. (1)
	C. Berberidis, A. Walid, M. Atallah, I. Vlahavas, A. Elmagarmid, “Multiple and Partial Periodicity Mining in Time Series Databases”, Proc. 15th European Conference on Artificial Intelligence (ECAI '02), Frank Van Harmelen (Ed.), IOS Press, pp. 370-374, Lyon, France, 2002. (4)
	G. Tsoumakas, I. Vlahavas, “Effective Stacking of Distributed Classifiers”, Proc. 15th European Conference on Artificial Intelligence (ECAI '02), Frank van Harmelen (Ed.), IOS Press, pp. 340-344, 2002. (3)
	I. Vlahavas, I. Sakellariou, I. Futo, Z. Pasztor, J. Szeredi, “CSPCONS: A Communicating Sequential Prolog with Constraints”, Proc. 2nd Hellenic Conference on AI (SETN '02), Springer-Verlag, LNAI 2308, pp. 72-84, 2002.
	G. Tsoumakas, I. Vlahavas, “Distributed Data Mining of Large Classifier Ensembles”, Proc. (companion volume) 2nd Hellenic Conference on AI (SETN '02), I. Vlahavas, C. Spyropoulos (Ed.), pp. 249-255, Thessaloniki, Greece, 2002. (10)
	D. Sampson, V. Papaioannou, N. Bassiliades, I. Vlahavas, “An Educational Metadata Management System using a deductive object-oriented database approach”, Proc. ED-MEDIA World Conference on Educational Multimedia, Hypermedia and Telecommunications, pp. 1724-1728, 2002. (1)
	F. Kokkoras, I. Vlahavas, “eLPA: An e-Learner's Personal Assistant”, Proc. ICCS'02 Workshop on Applications of Conceptual Graphs, (electronic proceedings), Borovets, Bulgaria, 2002. (2)
	C. Berberidis, I. Vlahavas, W. Aref, M. Atallah, A. Elmagarmid, “On the Discovery of Weak Periodicities in Large Time Series”, Proc. 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD '02), Springer-Verlag, LNAI 2431, pp. 51-61, 2002. (13)
	D. Vrakas, I. Vlahavas, “A Heuristic for Planning based on Action Evaluation”, Proc. 10th International Conference on Artificial Intelligence: Methodology, Systems, Applications (AIMSA '02), Springer-Verlag, LNAI 2443, pp. 61-70, 2002.
	I. Refanidis, I. Vlahavas, K. Paparizos, “Resource Allocation for Crisis Management using Planning”, Proc. 15th National Conference of Hellenic Operational Research Society, Tripoli,Greece, 2002.
	D. Vrakas, I. Vlahavas, “Bi-Directional Heuristic Planning in State-Spaces”, Proc. Workshop on Education of Informaticians and Industrial Mathematicians: New Challenges and Needs, pp. 217-228, 2001. (1)
	I. Refanidis, I. Vlahavas, “Framework for Multi - Criteria Plan Evaluation in Heuristic State-Space Planning”, Proc. IJCAI'01 Workshop on planning with Resourses, 2001. (2)
	G. Tsoumakas, I. Vlahavas, “Land Evaluation: An Artificial Intelligence Approach”, Environmental Information Systems in Industry and Public Administration, C. Rautenstrauch and S. Patig (Eds.), IDEA Group Publishing, Ch. 9, pp. 158-166, 2001. (1)
	N. Bassiliades, I. Vlahavas, F. Kokkoras, “Knowledge Management and Artificial Intelligence”, Proc. Workshop on Education of Informaticians and Industrial Mathematicians: New Challenges and Needs, pp. 31-49, 2001.
	I. Refanidis, N. Bassiliades, I. Vlahavas, “AI Planning for Transportation Logistics”, Proc. 17th International Logistics Conference, pp. 241-248, Thessaloniki, October 2001, 2001. (2)
	V. Dimitroula, N. Bassiliades, I. Vlahavas, S. Dimitrakos, “FUNAGES: An Educational Expert System for Fundus Fluorescein Angiography”, Health Informatics Journal, Vol. 7, No. 3-4, pp. 214-221, 2001. (3)
	F. Kokkoras, D. Sampson, I. Vlahavas, “CG-PerLS: Conceptual Graphs for Personalized Learning Systems”, Proc. 8th Panhellenic Conference on Informatics, Livani Publishing Organization, Vol. 2, pp. 531-540, Nicosia, Cyprus, 2001. (2)
	D. Vrakas, I. Vlahavas, “Bi-Directional Heuristic Planning in State-Spaces”, Proc. 8th Panhellenic Conference on Informatics, Vol. 1, pp. 511-520, 2001.
	D. Vrakas, I. Vlahavas, “Combining Progression and Regression in State-Space Heuristic Planning”, Proc. 6th European Conference on Planning (ECP '01), 2001.
	G. Tsoumakas, I. Vlahavas, “Fuzzy Meta-Learning: Preliminary Results”, Proc. UK Workshop on Computational Intelligence (UKCI '01), pp. 43-48, 2001. (1)
	D. Vrakas, I. Refanidis, I. Vlahavas, “Parallel Planning via the Distribution of Operators”, Journal of Experimental and Theoretical Artificial Intelligence, Vol. 13 (3), pp. 211-226, 2001. (8)
	E. Hatzikraniotis, I. Lefkos, G. Bisdikian, D. Psillos, I. Refanidis, I. Vlahavas, “An Open Learning Environment for Thermal Phenomena”, Proc. 5th International Conference on Computer Based Learning in Science (CBLIS '01), 2001.
	I. Refanidis, I. Vlahavas, “The GRT Planning System: Backward heuristic construction in Forward State - Space Planning”, Journal of Artificial Intelligence Research, vol. 15, pp. 115-161, 2001. (5)
	I. Refanidis, I. Vlahavas, “The GRT Planner”, AI Magazine, Vol. 22 (3), pp. 63-65, 2001. (1)
	I. Vlahavas, “Intelligent Industrial Applications Using Constraint Logic Programming”, Education of Informaticians and Industrial Mathematicians: New Challenges and Needs, pp. 193-216, 2001.
	S. Demetriadis, G. Palaigeorgiou, A. Barbas, A. Molohides, L. Tsoukalas, D. Psillos, I. Vlahavas, “Educating ICT Tutors: Conclusions from the Operation of ICT Tutor's School at Aristotle University of Thessaloniki”, Proc. Panhellenic Conference: Connecting Tertiary to Secondary Education, 2001.
	I. Refanidis, I. Vlahavas, “The GRT Planner: New Results”, Proc. ECAI 2000 Workshop on Local Search Techniques for Planning and Scheduling, 2000.
	I. Refanidis, I. Vlahavas, “A Heuristic Based Approach to Planning in Strips Domains”, Advances in Informatics, D.I. Fotiadis and S.D. Nikolopoulos (Eds.), World Scientific, pp. 305-312, 2000.
	N. Bassiliades, I. Vlahavas, “Active Knowledge-Based Systems: Techniques and Applications”, Knowledge Engineering: Systems Techniques and Applications, C.T. Leondes (Ed.), Academic Press, Vol. 1, pp. 1-36, 2000. (6)
	I. Stamelos, I. Vlahavas, I. Refanidis, A. Tsoukias, “Knowledge Based Evaluation of Software Systems: A Case Study”, Information and Software Technology, Elsevier, Vol. 42(5), pp. 333-345, 2000. (2)
	I. Refanidis, I. Vlahavas, “Exploiting State Constraints in Heuristic State-Space Planning”, Proc. 5th International Conference on Artificial Intelligence Planning and Scheduling Systems, pp. 363-370, 2000. (2)
	I. Stamelos, I. Refanidis, P. Katsaros, A. Tsoukias, I. Vlahavas, A. Pombortsis, “An Adaptable Framework for Educational Software Evaluation”, Recent Developments and Applications in Decision Making, S.H. Zanakis, C. Zopounidis and G. Doukidis (Eds.), Kluwer Academic Publishers, 2000.
	D. Vrakas, I. Refanidis, I. Vlahavas, “An Operator Distribution Method for Parallel Planning”, Proc. AAAI-2000 Workshop on Parallel and Distributed Search for Reasoning, pp. 17-21, 2000. (1)
	I. Refanidis, I. Vlahavas, “Heuristic Planning with Resources”, Proc. 14th European Conference on AI (ECAI '00), 2000. (5)
	N. Bassiliades, I. Vlahavas, A. Elmagarmid, “E-DEVICE: An Extensible Knowledge Base System with Multiple Rule Support”, IEEE Transactions on Knowledge and Data Engineering, Vol. 12, No. 5, pp. 824-844, 2000. (17)
	I. Refanidis, K. Korobilis, A. Barbas, D. Katsoulis, E. Hatzikraniotis, I. Vlahavas, P. Argirakis, D. Psillos, “Virtual Lab-Environment for Thermodynamics (in Greek)”, Proc. 1st National Conference on Education and Informatics, 2000.
	I. Lefkos, I. Refanidis, L. Gallos, G. Bisdikian, E. Petridou, E. Hatzikraniotis, I. Vlahavas, P. Argirakis, D. Psillos, “Virtual Lab-Environment for Thermal Phenomena (in Greek)”, Proc. 1st National Conference on Education and Informatics, 2000.
	D. Psillos, P. Argirakis, I. Vlahavas, E. Hatzikraniotis, G. Bisdikian, I. Refanidis, I. Lefkos, K. Korobilis, D. Vrakas, L. Gallos, E. Petridou, I. Nikolaidis, “Composite Virtual-Lab Environment for Teaching Heat and Thermodynamics (in Greek)”, Proc. 2nd National Conference on Information and Communication Technologies in Education, 2000. (4)
	E. Hatzikraniotis, G. Bisdikian, I. Refanidis, I. Vlahavas, D. Psillos, “A virtual laboratory on Heat Phenomena”, Proc. 5th Workshop on Multimedia in Physics Teaching and Learning, 2000.
	I. Vlahavas, I. Refanidis, I. Sakellariou, “A Multimedia System for teaching Prolog (in Greek)”, Proc. 1st National Conference on Education and Informatics, 2000.
	A. Pombortsis, I. Vlahavas, “Controlling Performance Degradation of Multistage Interconnection Networks with Non-uniform Traffic”, International Journal of Modeling and Simulation, Vol. 19 (3), 1999.
	I. Refanidis, I. Vlahavas, “SSPOP: A State Space Partial-Order Planner”, Proc. 3rd World Multiconference on Systemics, Cybernetics and Informatics (SCI '99), 1999.
	M. Karamanlidou, I. Vlahavas, “Stock Miner: A System for Knowledge Discovery and Financial Data”, Proc. ACAI '99 Workshop on Data Mining in Economics, Marketing and Finance, 1999.
	G. Tsoumakas, I. Vlahavas, “ISLE: An Intelligent System for Land Evaluation”, Proc. ACAI '99 Workshop on Intelligent Techniques for Spatio-Temporal Data Analysis in Environmental Applications, pp. 26-32, 1999. (3)
	I. Stamelos, I. Refanidis, P. Katsaros, A. Tsoukias, I. Vlahavas, A. Pombortsis, “Automating the Evaluation of Educational Software”, Proc. 5th International Conf. of the Decision Sciences Institute (DSI '99), pp. 1369-1373, 1999.
	I. Vlahavas, I. Stamelos, I. Refanidis, A. Tsoukias, “ESSE: An Expert System for Software Evaluation”, Knowledge-Based Systems, Elsevier, Vol. 12 (4), pp. 183-197, 1999. (8)
	I. Vlahavas, P. Kefalas, C. Halatsis, “OASys: An AND/OR Parallel Logic Programming System”, Parallel Computing, Elsevier, Vol. 25, pp. 321-336, 1999. (2)
	P. Linardis, I. Vlahavas, “PARCIS: A Robust Parallel VLSI Circuit Simulator”, Simulation Practice and Theory Journal, Elsevier, Vol. 7, pp. 91-103, 1999.
	I. Refanidis, I. Vlahavas, “GRT: A Domain Independent Heuristic for STRIPS Worlds based on Greedy Regression Tables”, Proc. 5th European Conference on Planning (ECP '99), Springer-Verlag, pp. 346-358, 1999. (23)
	I. Refanidis, I. Vlahavas, L. Tsoukalas, “On Determining and Completing Incomplete States in STRIPS Domains”, Proc. IEEE International Conference on Information, Intelligence and Systems, pp. 289-296, 1999.
	D. Vrakas, I. Refanidis, F. Milcent, I. Vlahavas, “On the Parallelization of Greedy Regression Tables”, Proc. 18th Workshop of the UK Planning and Scheduling Special Interest Group (PlanSIG '99), pp. 180-189, 1999. (1)
	I. Vlahavas, P. Tsarchopoulos, I. Sakellariou, “Parallel and Constraint Logic Programming”, Book, Kluwer Academic Publishers, ISBN 0-7923-8371-0, 1998.
	I. Vlahavas, N. Bassiliades, I. Sakellariou, et al., “System Architecture of a Distributed Expert System for the management of a National Data Network”, Proc. 8th International Conference on Artificial Intelligence (AIMSA '98), F. Giunchiglia (Ed.), Springer-Verlag, Vol. 1480, pp. 438-451, Sozopol, Bulgaria, September 1998, 1998. (2)
	I. Vlahavas, “Exploiting And-Or Parallelism in Prolog: The OASys Computational Model and Abstract Architecture”, The Journal of Systems and Software, Elsevier, Vol. 43(1), pp. 45-57, 1998. (1)
	I. Vlahavas, N. Bassiliades, “Parallel, Object-Oriented and Active Knowledge Base Systems”, Book, Kluwer Academic Publishers, ISBN 0-7923-8117-3, 1998. (16)
	N. Bourbakis, D. Goldman, R. Fermatt, I. Vlahavas, L. Tsoukalas, “Path Planning in a 2-D known Space using Neural Networks and Skeletonization”, Proc. IEEE International Conference on Systems Man and Cybernetics (SMC '97), 1997.
	A. Likartsis, I. Vlahavas, L. Tsoukalas, “A New Hybrid Neural-Genetic Methodology for Improving Learning”, Proc. IEEE 9th International Conference on Tools with Artificial Intelligence (ICTAI '97), 1997. (10)
	I. Vlahavas, P. Kefalas, I. Sakellariou, C. Halatsis, “The Basic OASys Model: Preliminary Results”, Proc. 6th Hellenic Conference on Informatics, pp. 723-731, 1997.
	N. Bassiliades, I. Vlahavas, “A Deductive Object-Oriented Database System based on Active Rules”, Proc. 6th Hellenic Conference on Informatics, pp. 180-189, Athens, December 1997, 1997.
	I. Vlahavas, A. Pombortsis, I. Sakellariou, “IDIS-KS: an Intelligent Drug Information System as a Knowledge Server”, Proc. 14th International Congress of Medical Informatics Europe (MIE '97), pp. 368-372, 1997.
	N. Bassiliades, I. Vlahavas, “Processing Production Rules in DEVICE, an Active Knowledge Base System”, Data and Knowledge Engineering, Elsevier, Vol. 24, No. 2, pp. 117-155, 1997. (6)
	N. Bassiliades, I. Vlahavas, “DEVICE: Compiling Production Rules into Event-Driven Rules Using Complex Events”, Information and Software Technology, Elsevier, Vol. 39, No. 5, pp. 331-342, 1997. (15)
	K. Mamzoridi, M. Pirpasopoulos, I. Vlahavas, A. Pombortsis, “Towards a Drug Information Center: The Aesculapius project”, Proc. 1st EURO DRUG Conference, 1996.
	P. Kefalas, I. Vlahavas, “Multiple OR-Parallel Resolution: Meta-Level Control of Parallel Logic Programs”, Proc. Parallel Processing (Euro-Par '96), Bouge, P. Fraigniaud, A. Mignotte and Y. Robert (Eds.), Springer-Verlag, LNCS 1123, pp. 694-703, 1996. (1)
	N. Bassiliades, I. Vlahavas, “Hierarchical Query Execution in a Parallel Object-Oriented Database System”, Parallel Computing, Elsevier, Vol. 22, No. 7, pp. 1017-1048, 1996. (13)
	N. Bassiliades, I. Vlahavas, “A Non-Uniform Data Fragmentation Strategy for Parallel Main-Memory Database Systems”, Proc. 21st International Conference on Very Large Data Bases (VLDB '95), U. Dayal, P.M.D. Gray, S. Nishio (Ed.), Morgan Kaufmann, pp. 370-381, September 11-15, 1995, Zurich, Switzerland, 1995. (7)
	N. Bassiliades, I. Vlahavas, “PRACTIC: A Concurrent Object Data Model for a Parallel Object-Oriented Database System”, Information Sciences, Elsevier, Vol. 86 (1-3), pp. 149-178, 1995. (7)
	F. Kokkoras, I. Vlahavas, “COMFRESH: A Common Framework for Expert Systems and Hypertext”, Information Processing and Management, Pergamon, Elsevier, Vol. 31 (4), pp. 593-604, 1995. (3)
	N. Bassiliades, I. Vlahavas, “Constraint Checking in a Parallel Object-Oriented Database System”, Journal of Parallel Algorithms and Applications, Gordon and Breach, Vol. 5, No. 3-4, pp. 129-147, 1995.
	A. Pombortsis, I. Vlahavas, “Flow Control and Switching Strategy for Preventing Congestion in Multistage Networks”, Architecture and Protocols for High-speed Networks, O. Spaniol, A. Dantine and W. Effelsberg (Eds.), Kluwer Academic Publishers, 1994.
	A. Pombortsis, I. Vlahavas, “A Contribution to the Problem of Avoiding Congestion in Multistage Networks in the Presence of Unbalanced Traffic”, The Journal of Systems and Software, Elsevier, Vol. 26, pp. 273-284, 1994.
	N. Bassiliades, I. Vlahavas, “Modelling Constraints with Exceptions in Object-Oriented Databases”, Entity-Relationship Approach - ER'94, Business Modelling and Re-Engineering, 13th International Conference on the Entity-Relationship Approach, P. Loucopoulos (Ed.), Springer-Verlag, LNCS 881, pp. 189-204, Manchester, United Kingdom, December 1994, 1994. (14)
	C. Maciazek, N. Bassiliades, I. Vlahavas, “Parallel Management of Large Deductive Databases in a Multi-Processor Environment”, Proc. IEEE Mediterranean Electrotechnical Conference (Melecon '94), pp. 367-370, Antalya, Turkey, April 1994, 1994. (1)
	I. Sakellariou, I. Vlahavas, “An Expert System for Land Evaluation”, Proc. 6th Hellenic Physics Conference, 1993.
	N. Bassiliades, I. Vlahavas, “A Multiprocessor System for the Efficient Management of Large Knowledge Bases (in Greek)”, Proc. 6th Hellenic Physics Conference, pp. 217-221, Xanthi, Greece, March 1993, 1993.
	N. Bassiliades, I. Vlahavas, “A Multiprocessor Machine for the Parallel Management of an Active Object-Oriented DataBase (in Greek)”, Proc. 4th Hellenic Conference on Informatics, pp. 501-512, Patra, Greece, December 1993, 1993.
	A. Pombortsis, I. Vlahavas, “A Novel Flow Control and Switching Strategy for Preventing Hot Spot Congestion in Multistage Networks”, Microprocessors and Microsystems, Butterworth, Vol. 17 (7), 1993. (1)
	I. Vlahavas, P. Kefalas, “The AND/OR Parallel Prolog Machine APIM: Execution Model and Abstract Design”, Journal of Programming Languages, Chapman and Hall, Vol. 1, pp. 245-261, 1993.
	A. Pombortsis, I. Vlahavas, “Preventing Performance Degradation in Packet-Switched Multistage Interconnection Networks Under Nonuniform Traffic”, Proc. Microcomputer and Microprocessor Applications Conference, 1992.
	A. Pombortsis, I. Vlahavas, “Flow Control in Packet-Switched Multistaged Interconnection Networks”, Proc. CompEuro '92, 1992.
	I. Vlahavas, P. Kefalas, “An Abstract Prolog Machine Based on Parallel Resolution Principle”, Proc. Microprocessing and Microprogramming (Euromicro '92), North-Holland, No. 35, pp. 755-762, 1992.
	I. Vlahavas, P. Kefalas, “A Parallel Prolog Resolution Based on Multiple Unifications”, Parallel Computing, Elsevier, Vol. 18, pp. 1275-1283, 1992. (1)
	I. Vlahavas, “The Programming Language Pascal”, ISBN 960-7013-17-4, Gartaganis Publications, 1991.
	N. Bassiliades, I. Vlahavas, “LBASE: A Logical Database Management System”, General Conference of the Balkan Physical Union, pp. 640-642, Thessaloniki, Greece, September 1991, 1991.
	A. Pombortsis, I. Vlahavas, “A Communication Analysis For Optimizing Hierarchical Multicomputer Systems”, Proc. CompEuro '91, 1991.
	I. Vlahavas, A. Pombortsis, D. Stamatis, “Towards a Parallel Inference Machine: the APIM project”, Proc. Microprocessing and Microprogramming (Euromicro '90), North-Holland, No. 30, pp. 201-206, 1990.
	I. Vlahavas, C. Halatsis, “L-Machine: A Low Cost Personal Sequential Inference Machine”, The Journal of Systems and Software, Elsevier, Vol. 9, pp. 209-223, 1989.
	I. Vlahavas, C. Halatsis, “A New Abstract Prolog Instruction Set”, Proc. Avignon 87, Expert systems and their applications, 1987. (2)
	A. Pombortsis, I. Vlahavas, C. Halatsis, “On the Performance of Packet Switching Interconnection Networks for Multiprocessor Systems”, Proc. Parallel Processing and Applications, 1987.
	I. Vlahavas, C. Halatsis, “A RISC Prolog Machine Architecture”, Proc. Microprocessing and Microprogramming (Euromicro '87), North-Holland, No. 21, pp. 259-266, 1987.
	C. Konidaris, I. Vlahavas, “A Prolog Compiler for the L-Machine (in Greek)”, Proc. 4th Hellenic Physics Conference, 1986.
	Year Total: 130