School of Informatics AUTh
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.
E. Spyromitros-Xioufis, G. Tsoumakas, W. Groves, I. Vlahavas (2016) Multi-Target Regression via Input Space Expansion: Treating Targets as Inputs. Machine Learning Journal 104(1), 55-98.
I. Kavakiotis, A. Xochelli, A. Agathangelidis, G. Tsoumakas, N. Maglaveras, K. Stamatopoulos, A. Hadzidimitriou, I. Vlahavas, I. Chouvarda (2016) Integrating Multiple Immunogenetic Data Sources For Feature Extraction and Mining Mutation Patterns: The Case of Chronic Lymphocytic Leukemia Shared Mutations BMC Bioinformatics 17 (5), 375
F. Markatopoulou, G. Tsoumakas, I. Vlahavas (2015) “Dynamic Ensemble Pruning based on Multi-Label Classification”, Neurocomputing, Elsevier, Volume 150, Part B, pp. 501-512.
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.
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.
A. Fachantidis, I. Partalas, G. Tsoumakas, I. Vlahavas, “Transferring Task Models in Reinforcement Learning Agents”, Neurocomputing, Elsevier, 107, pp. 23-32, 2013.
