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Conference/Workshop Papers: 12 articles
[2009]
[2008]
[<2008]
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2009 |
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G. Tsoumakas, E. Loza Mencia, I. Katakis, S. Park, J. Furnkrnaz, “On the combination of two decompositive multi-label classification methods”, Workshop on Preference Learning, ECML PKDD 09, Eyke Hullermeir, Johannes Furnkranz (Ed.), pp. 114-133, Bled, Slovenia, 2009.
(1)
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I. Katakis, G. Meditskos, G. Tsoumakas, N. Bassiliades, I. Vlahavas, “On the Combination of Textual and Semantic Descriptions for Automated Semantic Web Service Classification”, Proceedings of the 5th IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI 2009), Springer, Thessaloniki, 2009.
(14)
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Year Total: 2 |
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2008
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I. Katakis, G. Tsoumakas, I. Vlahavas, “Multilabel Text Classification for Automated Tag Suggestion”, Proceedings of the ECML/PKDD 2008 Discovery Challenge, Antwerp, 2008.
(38)
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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.
(37)
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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.
(14)
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E. Banos, I. Katakis, N. Bassiliades, G. Tsoumakas, I. Vlahavas, “PersoNews: A Personalized News Reader Enhanced by Machine Learning and Semantic Filtering”, 5th International Conference on Ontologies, DataBases, and Applications of Semantics (ODBASE 2006), R. Meersman, Z. Tari (Ed.), Springer-Verlag, pp. 975-982, Montpellier, France, 2006.
(24)
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I. Katakis, G. Tsoumakas, I. Vlahavas, “Dynamic Feature Space and Incremental Feature Selection for the Classification of Textual Data Streams”, ECML/PKDD-2006 International Workshop on Knowledge Discovery from Data Streams, pp. 107-116, Berlin, Germany, 2006.
(14)
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G. Tzanis, I. Katakis, I. Partalas, I. Vlahavas, “Modern Applications of Machine Learning”, Proceedings of the 1st Annual SEERC Doctoral Student Conference, Thessaloniki, Greece, 2006.
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G. Tsoumakas, I. Katakis, I. Vlahavas, “A Review of Multi-Label Classification Methods”, 2nd ADBIS Workshop on Data Mining and Knowledge Discovery, pp. 99-109, 2006.
(9)
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I. Partalas, G. Tsoumakas, I. Katakis, I. Vlahavas, “Ensemble Pruning using Reinforcement Learning”, Proc. 4th Hellenic Conference on Artificial Intelligence (SETN-06), G. Antoniou, G. Potamias, D. Plexousakis, C. Spyropoulos (Ed.), Springer-Verlag, LNAI 3955, pp. 301-310, Heraklion, Crete, 18-20 May, 2006.
(11)
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I. Katakis, G. Tsoumakas, I. Vlahavas, “On the Utility of Incremental Feature Selection for the Classification of Textual Data Streams”, 10th Panhellenic Conference on Informatics (PCI 2005), P. Bozanis and E.N. Houstis (Eds.), Springer-Verlag, LNCS 3746, pp. 338-348, Volos, Greece, 11-13 November, 2005.
(7)
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G. Tsoumakas, I. Katakis, I. Vlahavas, “Effective Voting of Heterogeneous Classifiers”, Proc. European Conference on Machine Learning, ECML 04, Jean-Francois Boulicaut, Floriana Esposito, Fosca Giannoti, Dino Pedreschi (Ed.), LNAI 3201, pp. 465-476, Pisa, Italy, 2004.
(28)
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Year Total: 10 |
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