Check the results of the PASCAL Large Scale Hierarchical Text Classification challenge.
We are also organising a Large Scale Hierarchical Classification workshop at ECIR-2010.
We are participating in the following research projects: SYNC3, PRONTO, CASAM and SERVIVE.
We are also participating in the PASCAL2 network of excellence.
Undergrad and postgrad dissertations offered in our lab (titles and short descriptions in Greek)
Joined the editorial board of UMUAI
Check the Seminar Series of I.I.&T., NCSR

1. D. Pierrakos, G. Paliouras, "Personalizing Web Directories with the aid of Web Usage Data," IEEE Transactions on Knowledge and Data Engineering, to appear. (abstract) (IEEE online version)

2. G. Petasis, V. Karkaletsis, G. Paliouras and C.D. Spyropoulos, "Learning context-free grammars to extract relations from text," In Proceedings of the the European Conference on Artificial Intelligence (ECAI) , IOS Press, pp. 303-307, Patras, Greece, July 2008. (abstract) (pdf)

3. E. Zavitsanos, G. Paliouras, G. Vouros and S. Petridis, "Determining Automatically the Size of Learned Ontologies," In Proceedings of the the European Conference on Artificial Intelligence (ECAI) , IOS Press, pp. 775-776, Patras, Greece, July 2008. (abstract) (pdf)

4. I. Partalas, G. Paliouras and I. Vlahavas, "Reinforcement Learning with Classifier Selection for Focused Crawling," In Proceedings of the the European Conference on Artificial Intelligence (ECAI) , IOS Press, pp. 759-760, Patras, Greece, July 2008. (abstract) (pdf)

5. G. Korfiatis and G. Paliouras, "Modeling Web Navigation using Grammatical Inference," Applied Artificial Intelligence, v. 22, n. 1 & 2, pp. 116-138, 2008. (abstract) (pdf preprinit)

6. N. Trogkanis, G. Paliouras, "TPN²: Using positive-only learning to deal with the heterogeneity of labeled and unlabeled data", In Proceedings of the Discovery Challenge at the Joint European Conference on Machine Learning and on Principles and Practices of Knowledge Discovery in Databases (ECML/PKDD), Berlin, Germany, September, 2006.  (abstract) (pdf)

7. V. Metsis, I. Androutsopoulos, G. Paliouras, "Spam Filtering with Naive Bayes - Which Naive Bayes?" In Proceedings of the third Conference on Email and Anti-Spam (CEAS), Mountain View, CA, USA, 2006. (abstract) (pdf)

8. G. Sigletos, G. Paliouras, C.D. Spyropoulos and M. Hatzopoulos, "Combining Information Extraction Systems Using Voting and Stacked Generalization," Journal of Machine Learning Research, v.6, pp. 1751-1782, 2005. (abstract) (pdf)

9. G. Paliouras, "On the Need to Bootstrap Ontology Learning with Extraction Grammar Learning," In Proceedings of the International Conference on Conceptual Structures (ICCS), Kassel, Germany, July, Lecture Notes in Artificial Intelligence, n. 3596, pp. 119-135, Springer Verlag, 2005. (abstract) (pdf)

10. D. Pierrakos, G. Paliouras, "Exploiting Probabilistic Latent Information for the Construction of Community Web Directories," In Proceedings of the International User Modelling Conference (UM), Edinburgh, UK, July, Lecture Notes in Artificial Intelligence, n. 3538, pp. 89-98, Springer Verlag, 2005. (abstract) (pdf)