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Journal Papers: 79 articles

[2016]  [2015]  [2014]  [2013]  [2012]  [2011]  [2010]  [2009]  [2008]  [<2008]

	2016
	E. Spyromitros-Xioufis, G. Tsoumakas, W. Groves, I. Vlahavas, “Multi-Target Regression via Input Space Expansion: Treating Targets as Inputs”, Machine Learning, Johannes Furnkranz (Ed.), Springer, 2016.
	Year Total: 1
	2015
	T. Stavropoulos, G. Koutitas, D. Vrakas, E. Kontopoulos, I. Vlahavas, “A smart university platform for building energy monitoring and savings”, Journal of Ambient Intelligence and Smart Environments, IOS Press, IF 2014: 1.082 (to appear), 2015.
	T. Stavropoulos, S. Andreadis, N. Bassiliades, D. Vrakas, I. Vlahavas, “The Tomaco Hybrid Matching Framework for SAWSDL Semantic Web Services”, IEEE Transactions on Services Computing, IEEE, IF: 1.985 (to appear), 2015.
	F. Markatopoulou, G. Tsoumakas, I. Vlahavas, “Dynamic Ensemble Pruning based on Multi-Label Classification”, Neurocomputing, Elsevier, Volume 150, Part B, pp. 501-512, 2015.
	T. Stavropoulos, E. Kontopoulos, N. Bassiliades, J. Argyriou, A. Bikakis, D. Vrakas, I. Vlahavas, “Rule-based Approaches for Energy Savings in an Ambient Intelligence Environment”, Journal of Pervasive and Mobile Computing, Elsevier, Vol. 19, pp. 1-23, 2015.
	Year Total: 4
	2014
	O. Hatzi, M. Nikolaidou, D. Vrakas, N. Bassiliades, D. Anagnostopoulos, I. Vlahavas, “Semantically Aware Web Service Composition Through AI Planning”, International Journal on Artificial Intelligence Tools, Nikolaos Bourbakis (Ed.), World Scientific, 24, pp. 1450015, 2014.
	E. Spyromitros-Xioufis, S. Papadopoulos, I. Kompatsiaris, G. Tsoumakas, I. Vlahavas, “A Comprehensive Study over VLAD and Product Quantization in Large-scale Image Retrieval”, IEEE Transactions on Multimedia, IEEE, 2014.
	M. Taylor, N. Charboni, A. Fachantidis, I. Vlahavas, L. Torrey, “Reinforcement Learning Agents Providing Advice in Complex Video Games”, Connection Science, Taylor & Francis, (in press), 2014.
	I. Kavakiotis, A. Triantafyllidis, P. Samaras, A. Voulgaridis, N. Karaiskou, E. Konstantinidis, I. Vlahavas, “Pattern discovery for microsatellite genome analysis”, Computers in Biology and Medicine, Edward John Ciaccio (Ed.), Elsevier, 2014.
	Year Total: 4
	2013
	C. Liaskos, G. Koutitas, I. Vlahavas, “A holistic virtual laboratory on wireless communications and sensor networks”, Journal of Interactive Mobile Technologies, International Association of Online Engineering, 2013.
	T. Stavropoulos, K. Gottis, D. Vrakas, I. Vlahavas, “aWESoME: a Web Service Middleware for Ambient Intelligence”, Expert Systems With Applications, Elsevier, 40 (11), pp. 4380-4392, 2013. (20)
	A. Fachantidis, I. Partalas, G. Tsoumakas, I. Vlahavas, “Transferring Task Models in Reinforcement Learning Agents”, Neurocomputing, Elsevier, 107, pp. 23-32, 2013.
	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, Vol. 28, No. 2, pp. 137-156, 2013. (8)
	Year Total: 4
	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. (1)
	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. (34)
	Year Total: 2
	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. (17)
	G. Tzanis, I. Kavakiotis, I. Vlahavas, “PolyA-iEP: A Data Mining Method for the Effective Prediction of Polyadenylation Sites”, Expert Systems with Applications, Elsevier, 38(10), pp. 1239812408, 2011. (6)
	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. (75)
	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)
	Year Total: 5
	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.
	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, “A visual programming system for automated problem solving”, Expert Systems with Applications, Elsevier, 37(6), pp. 4611-4625, 2010. (8)
	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: 4
	2009
	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. (8)
	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. (36)
	Year Total: 3
	2008
	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.
	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)
	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)
	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. (73)
	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. (13)
	Year Total: 5
	<2008
	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. (16)
	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. (17)
	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)
	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. (41)
	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)
	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.
	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)
	G. Tsoumakas, L. Angelis, I. Vlahavas, “Selective Fusion of Heterogeneous Classifiers”, Intelligent Data Analysis, IOS Press, 9(6), pp. 511-525, 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.
	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. (7)
	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, 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.
	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. (11)
	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)
	I. Refanidis, I. Vlahavas, “Multiobjective Heuristic State-Space Planning”, Artificial Intelligence, Elsevier, Vol. 145, Issues 1-2, pp. 1-32, 2003. (2)
	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. (18)
	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. (26)
	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)
	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. (10)
	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. 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)
	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)
	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. 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. 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, 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. (7)
	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. (18)
	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, “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, “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.
	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.
	I. Vlahavas, P. Kefalas, “A Parallel Prolog Resolution Based on Multiple Unifications”, Parallel Computing, Elsevier, Vol. 18, pp. 1275-1283, 1992. (1)
	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.
	Year Total: 47