School of Informatics AUTh
G. Tsoumakas, E. Spyromitros-Xioufis, J. Vilcek, I. Vlahavas, “Mulan: A Java Library for Multi-Label Learning”, ICML 2010 Workshop on Machine Learning Open Source Software (MLOSS 2010), Demo/Poster Session, Haifa, Israel, 2010.
G. Tsoumakas, A. Dimou, E. Spyromitros-Xioufis, V. Mezaris, I. Kompatsiaris, I. Vlahavas, “Correlation-Based Pruning of Stacked Binary Relevance Models for Multi-Label Learning”, Proceedings of the 1st International Workshop on Learning from Multi-Label Data (MLD'09), G. Tsoumakas, Min-Ling Zhang, Zhi-Hua Zhou (Ed.), pp. 101-116, Bled, Slovenia, 20
E. Spyromitros-Xioufis, G. Tsoumakas, I. Vlahavas, “An Empirical Study of Lazy Multilabel Classification Algorithms”, Proc. 5th Hellenic Conference on Artificial Intelligence (SETN 2008), Springer, LNAI Vol.5138, pp. 401-406, Syros, Greece, 2008.
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.
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.
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.
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.