Publications

Found 47 results
[ Author(Asc)] Title Type Year
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P
Paliouras, G., S. Papadopoulos, D. Vogiatzis, and Y. Kompatsiaris, User Community Discovery, : Springer, 2015.
Paliouras, G., C. Papatheodorou, V. Karkaletsis, C. Spyropoulos, and P. Tzitziras, "From web usage statistics to web usage analysis", Systems, Man, and Cybernetics, 1999. IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on, vol. 2: IEEE, pp. 159–164, 1999.
Paliouras, G., C. Papatheodorou, V. Karkaletsis, P. Tzitziras, and C. D. Spyropoulos, "Large-scale mining of usage data on web sites", AAAI Spring Symposium on Adaptive User Interfaces, pp. 92–97, 2000.
Paliouras, G., M. Alexandros, C. Ntoutsis, A. Alexopoulos, and C. Skourlas, "PNS: Personalized multi-source news delivery", Knowledge-Based Intelligent Information and Engineering Systems: Springer, pp. 1152–1161, 2006.
Paliouras, G., and V. Karkaletsis, CS: Machine Learning and its Applications, : Springer-Verlag, Heidelberg, 2001.
Paliouras, G., C. Papatheodorou, V. Karkaletsis, C. Spyropoulos, and V. Malaveta, "Learning user communities for improving the services of information providers", Research and Advanced Technology for Digital Libraries: Springer, pp. 367–383, 1998.
Paliouras, G., V. Karkaletsis, I. Androutsopoulos, and C. D. Spyropoulos, "Learning rules for large-vocabulary word sense disambiguation: a comparison of various classifiers", Natural Language Processing—NLP 2000: Springer, pp. 383–394, 2000.
Paliouras, G., "On the need to bootstrap ontology learning with extraction grammar learning", Conceptual Structures: Common Semantics for Sharing Knowledge: Springer, pp. 119–135, 2005.
Paliouras, G., "Discovery of Web user communities and their role in personalization", User Modeling and User-Adapted Interaction, vol. 22, no. 1-2: Springer, pp. 151–175, 2012.
Paliouras, G., C. D. Spyropoulos, and G. Tsatsaronis, Knowledge-Driven Multimedia Information Extraction and Ontology Evolution, : Springer, 2011.
Paliouras, G., and D. S. Brée, "Adaptive Event Recognition with the use of Limited Training Data", Recent Advances in Information Science and Technology, NE Mastorakis (ed.), pp. 225–232, 1998.
M
Michelakis, E., I. Androutsopoulos, G. Paliouras, G. Sakkis, and P. Stamatopoulos, "Filtron: A learning-based anti-spam filter", PROCEEDINGS OF THE 1ST CONFERENCE ON EMAIL AND ANTI-SPAM. MOUNTAIN: Citeseer, 2004.
Metsis, V., I. Androutsopoulos, and G. Paliouras, "Spam filtering with naive bayes-which naive bayes?", CEAS, pp. 27–28, 2006.
K
Krithara, A., M. R. Amini, C. Goutte, and J-M. Renders, "Learning aspect models with partially labeled data", Pattern Recognition Letters, vol. 32, no. 2: Elsevier, pp. 297–304, 2011.
Krithara, A., and G. Paliouras, "TL-PLSA: Transfer learning between domains with different classes", Data Mining (ICDM), 2013 IEEE 13th International Conference on: IEEE, pp. 419–427, 2013.
Katsimpras, G., D. Vogiatzis, and G. Paliouras, "Determining influential users with supervised random walks", Proceedings of the 24th International Conference on World Wide Web: ACM, 2015.
Karavolia, A., D. Vogiatzis, B. Truong, A. Tapia, C. Caragea, A. Squicciarini, and G. Paliouras, "Tweet Type, Location and Popularity: Case Study Hurricane Sandy", KDD-LESI 2014: Proceedings of the 1st KDD Workshop on Learning about Emergencies from Social Information at KDD’14, pp. 34–38, 2014.
D
Diakidis, G., D. Karna, D. Fasarakis-Hilliard, D. Vogiatzis, and G. Paliouras, "Predicting the evolution of communities in social networks", Proceedings of the 5th International Conference on Web Intelligence, Mining and Semantics: ACM, 2015.

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