Publications

Found 47 results
[ Author(Asc)] Title Type Year
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P
Paliouras, G., H. C. Jessen, and UK. Athens, "Statistical and learning approaches to nonlinear modeling of labour force participation", Neural Network World, vol. 9: THE IDG COMPANY, CZECHOSLOVAKIA, pp. 341–364, 1999.
Paliouras, G., A. Mouzakidis, V. Moustakas, and C. Skourlas, "PNS: A personalized news aggregator on the web", Intelligent interactive systems in knowledge-based environments: Springer, pp. 175–197, 2008.
Paliouras, G., C. Papatheodorou, V. Karkaletsis, and C. D. Spyropoulos, "Discovering user communities on the Internet using unsupervised machine learning techniques", Interacting with Computers, vol. 14, no. 6: Elsevier, pp. 761–791, 2002.
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.
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.
A
Athanasopoulos, G., G. Paliouras, D. Vogiatzis, G. Tzortzis, and N. Katzouris, "Predicting the Evolution of Communities with Online Inductive Logic Programming", Proceedings of 25th International Symposium on Temporal Representation and Reasoning (TIME), 2018.
Androutsopoulos, I., J. Koutsias, K. V. Chandrinos, G. Paliouras, and C. D. Spyropoulos, "An evaluation of naive bayesian anti-spam filtering", arXiv preprint cs/0006013, 2000.
Androutsopoulos, I., G. Paliouras, and E. Michelakis, Learning to filter unsolicited commercial e-mail, : " DEMOKRITOS", National Center for Scientific Research, 2004.
Androutsopoulos, I., G. Paliouras, V. Karkaletsis, G. Sakkis, C. D. Spyropoulos, and P. Stamatopoulos, "Learning to filter spam e-mail: A comparison of a naive bayesian and a memory-based approach", arXiv preprint cs/0009009, 2000.

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