Publications

Found 51 results
Author Title [ Type(Desc)] Year
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Conference Paper
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.
Pavlopoulou, M. Evangelia, G. Tzortzis, D. Vogiatzis, and G. Paliouras, "Predicting the evolution of communities in social networks using structural and temporal features", 12th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP), 2017: IEEE, 2017.
Pavlopoulou, M. Evangelia, G. Tzortzis, D. Vogiatzis, and G. Paliouras, "Predicting the evolution of communities in social networks using structural and temporal features", 12th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP), 2017: IEEE, 2017.
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.
Zamani, K., G. Paliouras, and D. Vogiatzis, "Similarity-based user identification across social networks", International Workshop on Similarity-Based Pattern Recognition: Springer, 2015.
Metsis, V., I. Androutsopoulos, and G. Paliouras, "Spam filtering with naive bayes-which naive bayes?", CEAS, pp. 27–28, 2006.
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.
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.
Journal Article
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.
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., 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., "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.
Petasis, G., V. Karkaletsis, G. Paliouras, I. Androutsopoulos, and C. D. Spyropoulos, "Ellogon: A new text engineering platform", arXiv preprint cs/0205017, 2002.
Petasis, G., V. Karkaletsis, G. Paliouras, I. Androutsopoulos, and C. D. Spyropoulos, "Ellogon: A new text engineering platform", arXiv preprint cs/0205017, 2002.
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.
Vogiatzis, D., D. Pierrakos, G. Paliouras, S. Jenkyn-Jones, and BJHHA. Possen, "Expert and community based style advice", Expert Systems with Applications, vol. 39, no. 12: Elsevier, pp. 10647–10655, 2012.
Vogiatzis, D., D. Pierrakos, G. Paliouras, S. Jenkyn-Jones, and BJHHA. Possen, "Expert and community based style advice", Expert Systems with Applications, vol. 39, no. 12: Elsevier, pp. 10647–10655, 2012.
Vogiatzis, D., D. Pierrakos, G. Paliouras, S. Jenkyn-Jones, and BJHHA. Possen, "Expert and community based style advice", Expert Systems with Applications, vol. 39, no. 12: Elsevier, pp. 10647–10655, 2012.
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.
Sakkis, G., I. Androutsopoulos, G. Paliouras, V. Karkaletsis, C. D. Spyropoulos, and P. Stamatopoulos, "A memory-based approach to anti-spam filtering for mailing lists", Information retrieval, vol. 6, no. 1: Springer, pp. 49–73, 2003.
Sakkis, G., I. Androutsopoulos, G. Paliouras, V. Karkaletsis, C. D. Spyropoulos, and P. Stamatopoulos, "Stacking classifiers for anti-spam filtering of e-mail", arXiv preprint cs/0106040, 2001.
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.
Pierrakos, D., G. Paliouras, C. Papatheodorou, and C. D. Spyropoulos, "Web usage mining as a tool for personalization: A survey", User modeling and user-adapted interaction, vol. 13, no. 4: Springer, pp. 311–372, 2003.
Pierrakos, D., G. Paliouras, C. Papatheodorou, and C. D. Spyropoulos, "Web usage mining as a tool for personalization: A survey", User modeling and user-adapted interaction, vol. 13, no. 4: Springer, pp. 311–372, 2003.
Pierrakos, D., G. Paliouras, C. Papatheodorou, and C. D. Spyropoulos, "Web usage mining as a tool for personalization: A survey", User modeling and user-adapted interaction, vol. 13, no. 4: Springer, pp. 311–372, 2003.

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