School of Informatics AUTh
G. Tsoumakas, I. Partalas, I. Vlahavas (2009) “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.
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.
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.
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.
E. Spyromitros-Xioufis, G. Tsoumakas, W. Groves, I. Vlahavas, “Multi-Label Classification Methods for Multi-Target Regression”, Technical Report TR-LPIS-407-14, LPIS, Dept. of Informatics, Aristotle University of Thessaloniki, Greece, 2014.
I. Partalas, G. Tsoumakas, I. Vlahavas, “A Study on Greedy Algorithms for Ensemble Pruning”, Technical Report TR-LPIS-360-12, LPIS, Dept. of Informatics, Aristotle University of Thessaloniki, Greece, 2012.
I. Mamalikidis, C. Karapiperis, L. Angelis, G. Tsoumakas, I. Vlahavas (2017) Machine Learning Methods for Customer's Payment Acceptance Prediction in an Electricity Distribution Company, Proceedings of the 21st Pan-Hellenic Conference on Informatics
F. Briggs et al. (2013) The 9th annual MLSP competition: New methods for acoustic classification of multiple simultaneous bird species in a noisy environment. Proceedings of 2013 IEEE International Workshop on Machine Learning for Signal Processing.
G. Tsoumakas, I. Partalas, I. Vlahavas (2008) “A Taxonomy and Short Review of Ensemble Selection”, ECAI Workshop on Supervised and Unsupervised Ensemble Methods and Their Applications (SUEMA-08), pp 41-46, July 2008, Patras, Greece.
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.
