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
P. Delias, A. Lagopoulos, G. Tsoumakas, D. Grigori (2018) Using Multi-Target Feature Evaluation to Discover Factors that Affect Business Process Behavior, Computers in Industry, Volume 99, August 2018, Pages 253-261
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N. Bassiliades, G. Chalkiadakis, Editorial of Special issue on Artificial Intelligence Techniques for the Smart Grid, Advances in Building Energy Research, 12 (1), Taylor & Francis, 2018.
I. Viktoratos, A. Tsadiras, N. Bassiliades, “Combining Community-Based Knowledge with Association Rule Mining to Alleviate the Cold Start Problem in Context-Aware Recommender Systems”, Expert Systems with Applications, Vol. 101, July 2018, pp. 78–90
N. Bassiliades, M. Symeonidis, P. Gouvas, E. Kontopoulos, G. Meditskos, I. Vlahavas, “PaaSport Semantic Model: An Ontology for a Platform-as-a-Service Semantically Interoperable Marketplace”, Data and Knowledge Engineering, Vol. 113, Jan. 2018, pp. 81-115
Y. Papanikolaou, G. Tsoumakas, M. Laliotis, N. Markantonatos, I. Vlahavas (2017) Large-scale online semantic indexing of biomedical articles via an ensemble of multi-label classification models, Journal of Biomedical Semantics 8:43
E.A. Cherman, Y. Papanikolaou, G. Tsoumakas, M.C. Monard (2017) "Multi-Label Active Learning: Key Issues and a Novel Query Strategy", Evolving Systems
Y. Papanikolaou, J. Foulds, T. Rubin, G. Tsoumakas (2017) "Dense Distributions from Sparse Samples: Improved Gibbs Sampling Parameter Estimators for LDA" Journal of Machine Learning Research 8(62):1−58
I. Kavakiotis, O. Tsave, A. Salifoglou, N. Maglaveras, I. Vlahavas, I. Chouvarda (2017) "Machine Learning and Data Mining Methods in Diabetes Research" Computational and Structural Biotechnology Journal, Volume 15, 2017, Pages 104–116
N. Bassiliades, M. Symeonidis, G. Meditskos, E. Kontopoulos, P. Gouvas, I. Vlahavas, "A Semantic Recommendation Algorithm for the PaaSport Platform-as-a-Service Marketplace", Expert Systems with Applications, Vol. 67, Jan. 2017, pp. 203-227.
I. Viktoratos, A. Tsadiras, N. Bassiliades, "Modeling Human Daily Preferences through a Context-Aware Web-Mapping System Using Semantic Technologies", Pervasive and Mobile Computing, Vol 38, Part 1, July 2017, pp. 14-40, 2017
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