School of Informatics AUTh
I. Katakis, G. Tsoumakas, I. Vlahavas, “Multilabel Text Classification for Automated Tag Suggestion”, Proceedings of the ECML/PKDD 2008 Discovery Challenge, Antwerp, 2008.
G. Tzanis, I. Kavakiotis, I. Vlahavas, “Polyadenylation Site Prediction Using Interesting Emerging Pattern”, 8th IEEE International Conference on Bioinformatics and Bioengineering, IEEE, Athens, Greece, 2008.
G. Tsoumakas, I. Katakis, I. Vlahavas, “Effective and Efficient Multilabel Classification in Domains with Large Number of Labels”, Proc. ECML/PKDD 2008 Workshop on Mining Multidimensional Data (MMD'08), Antwerp, Belgium, 2008.
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.
K. Trohidis, G. Tsoumakas, G. Kalliris, I. Vlahavas, “Multilabel Classification of Music into Emotions”, Proc. 9th International Conference on Music Information Retrieval (ISMIR 2008), pp. 325-330, Philadelphia, PA, USA, 2008.
I. Partalas, G. Tsoumakas, I. Vlahavas (2008) “Focused Ensemble Selection: A Diversity-Based Method for Greedy Ensemble Selection”, 18th European Conference on Artificial Intelligence, IOS Press, pp. 117-121, Patras, Greece.
I. Katakis, G. Tsoumakas, I. Vlahavas, “An Ensemble of Classifiers for coping with Recurring Contexts in Data Streams”, 18th European Conference on Artificial Intelligence, IOS Press, pp. 763-764, Patras, Greece, 2008.
G. Tzanis, I. Vlahavas, “Mining High Quality Clusters of SAGE Data”, Proceedings of the 2nd VLDB Workshop on Data Mining in Bioinformatics, Vienna, Austria, 2007.
G. Tzanis, I. Vlahavas, “Accurate Classification of SAGE Data Based on Frequent Patterns of Gene Expression”, Proceedings of the IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), IEEE, Patras, Greece, 2007.
G. Tzanis, C. Berberidis, I. Vlahavas, “MANTIS: A Data Mining Methodology for Effective Translation Initiation Site Prediction”, Proceedings of the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE, Lyon, France, 2007.
