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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.
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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.
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L. Angelis, N. Bassiliades, Y. Manolopoulos, “On the Necessity of Multiple University Rankings”, COLLNET Journal of Scientometrics and Information Management, Vol. 13, Iss. 1, pp. 11-36, 2019, DOI: 10.1080/09737766.2018.1550043.
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Papanikolaou Y., Tsoumakas, G., Katakis, I. (2018) Hierarchical partitioning of the output space in multi-label data, Data & Knowledge Engineering 116, pp 42-60
E. Papagiannopoulou, G. Tsoumakas (2018) Local Word Vectors Guiding Keyphrase Extraction, Information Processing & Management, 54(6):888-902
E. Rigas, S. Karapostolakis, N. Bassiliades, S. D. Ramchurn, “EVLibSim: A Tool for the Simulation of Electric Vehicles' Charging Stations Using the EVLib Library”, Simulation Modelling Practice and Theory, Vol. 87, pp. 99-119, 2018.
E. Rigas, S. Ramchurn, N. Bassiliades, “Algorithms for Electric Vehicle Scheduling in Large-Scale Mobility-on-Demand Schemes”, Artificial Intelligence, Volume 262, September 2018, Pages 248-278.
N. Bassiliades, "A Tool for Transforming Semantic Web Rule Language to SPARQL Infererecing Notation", International Journal on Semantic Web and Information Systems, Vol. 16, Iss. 1, Art. 5, 2020.
G. Tsoumakas (2018) A survey of machine learning techniques for food sales prediction, Artificial Intelligence Review
C. Nalmpantis, D. Vrakas, Machine learning approaches for non-intrusive load monitoring: from qualitative to quantitative comparation, Artificial Intelligence Review, 2018
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