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Georgios Paliouras: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Hans C. Jessen, Georgios Paliouras
    Data Mining in Economics, Finance, and Marketing. [Citation Graph (0, 0)][DBLP]
    Machine Learning and Its Applications, 2001, pp:295-299 [Conf]
  2. Georgios Petasis, Sergios Petridis, Georgios Paliouras, Vangelis Karkaletsis, Stavros J. Perantonis, Constantine D. Spyropoulos
    Symbolic and Neural Learning of Named-Entity Recognition and Classification Systems in Two Languages. [Citation Graph (0, 0)][DBLP]
    Advances in Computational Intelligence and Learning, 2002, pp:193-210 [Conf]
  3. Georgios Petasis, Frantz Vichot, Francis Wolinski, Georgios Paliouras, Vangelis Karkaletsis, Constantine D. Spyropoulos
    Using Machine Learning to Maintain Rule-based Named-Entity Recognition and Classification Systems. [Citation Graph (0, 0)][DBLP]
    ACL, 2001, pp:418-425 [Conf]
  4. Eirinaios Michelakis, Ion Androutsopoulos, Georgios Paliouras, Georgios Sakkis, Panagiotis Stamatopoulos
    Filtron: A Learning-Based Anti-Spam Filter. [Citation Graph (0, 0)][DBLP]
    CEAS, 2004, pp:- [Conf]
  5. Georgios Sigletos, Georgios Paliouras, Constantine D. Spyropoulos, Takis Stamapoulos
    Stacked Generalization for Information Extraction. [Citation Graph (0, 0)][DBLP]
    ECAI, 2004, pp:549-553 [Conf]
  6. Georgios Paliouras, David S. Brée
    The Effect of Numeric Features on the Scalability of Inductive Learning Programs. [Citation Graph (0, 0)][DBLP]
    ECML, 1995, pp:218-231 [Conf]
  7. Alexandros G. Valarakos, Georgios Paliouras, Vangelis Karkaletsis, George A. Vouros
    Enhancing Ontological Knowledge Through Ontology Population and Enrichment. [Citation Graph (0, 0)][DBLP]
    EKAW, 2004, pp:144-156 [Conf]
  8. Konstantinos Chandrinos, Ion Androutsopoulos, Georgios Paliouras, Constantine D. Spyropoulos
    Automatic Web Rating: Filtering Obscene Content on the Web. [Citation Graph (0, 0)][DBLP]
    ECDL, 2000, pp:403-406 [Conf]
  9. Georgios Paliouras, Christos Papatheodorou, Vangelis Karkaletsis, Constantine D. Spyropoulos, Victoria Malaveta
    Learning User Communities for Improving the Services of Information Providers. [Citation Graph (0, 0)][DBLP]
    ECDL, 1998, pp:367-383 [Conf]
  10. Dimitrios Pierrakos, Georgios Paliouras, Christos Papatheodorou, Vangelis Karkaletsis, Marios D. Dikaiakos
    Web Community Directories: A New Approach to Web Personalization. [Citation Graph (0, 0)][DBLP]
    EWMF, 2003, pp:113-129 [Conf]
  11. Georgios Sigletos, Georgios Paliouras, Constantine D. Spyropoulos, Michael Hatzopoulos
    Mining Web Sites Using Wrapper Induction, Named Entities, and Post-processing. [Citation Graph (0, 0)][DBLP]
    EWMF, 2003, pp:97-112 [Conf]
  12. Georgios Paliouras
    On the Need to Bootstrap Ontology Learning with Extraction Grammar Learning. [Citation Graph (0, 0)][DBLP]
    ICCS, 2005, pp:119-135 [Conf]
  13. Nikolaos Karampatziakis, Georgios Paliouras, Dimitrios Pierrakos, Panagiotis Stamatopoulos
    Navigation Pattern Discovery Using Grammatical Inference. [Citation Graph (0, 0)][DBLP]
    ICGI, 2004, pp:187-198 [Conf]
  14. Georgios Petasis, Georgios Paliouras, Constantine D. Spyropoulos, Constantine Halatsis
    eg-GRIDS: Context-Free Grammatical Inference from Positive Examples Using Genetic Search. [Citation Graph (0, 0)][DBLP]
    ICGI, 2004, pp:223-234 [Conf]
  15. Georgios Paliouras, Christos Papatheodorou, Vangelis Karkaletsis, Constantine D. Spyropoulos
    Clustering the Users of Large Web Sites into Communities. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:719-726 [Conf]
  16. D. Kosmopoulos, Sergios Petridis, Ioannis Pratikakis, V. Gatos, Stavros J. Perantonis, Vangelis Karkaletsis, Georgios Paliouras
    Knowledge Acquisition from Multimedia Content using an Evolution Framework. [Citation Graph (0, 0)][DBLP]
    AIAI, 2006, pp:557-565 [Conf]
  17. Georgios Paliouras, Vangelis Karkaletsis, Constantine D. Spyropoulos
    Learning Rules for Large Vocabulary Word Sense Disambiguation. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1999, pp:674-681 [Conf]
  18. Georgios Paliouras, Mouzakidis Alexandros, Christos Ntoutsis, Angelos Alexopoulos, Christos Skourlas
    PNS: Personalized Multi-source News Delivery. [Citation Graph (0, 0)][DBLP]
    KES (2), 2006, pp:1152-1161 [Conf]
  19. Georgios Paliouras, Vangelis Karkaletsis, Ion Androutsopoulos, Constantine D. Spyropoulos
    Learning Rules for Large-Vocabulary Word Sense Disambiguation: A Comparison of Various Classifiers. [Citation Graph (0, 0)][DBLP]
    Natural Language Processing, 2000, pp:383-394 [Conf]
  20. Stasinos Konstantopoulos, Georgios Paliouras, Symeon Chatzinotas
    SHARE-ODS: An Ontology Data Service for Search and Rescue Operations. [Citation Graph (0, 0)][DBLP]
    SETN, 2006, pp:525-528 [Conf]
  21. Alexandros M. Grigoriadis, Georgios Paliouras
    Focused Crawling Using Temporal Difference-Learning. [Citation Graph (0, 0)][DBLP]
    SETN, 2004, pp:142-153 [Conf]
  22. Georgios Sigletos, Georgios Paliouras, Vangelis Karkaletsis
    Role Identification from Free Text Using Hidden Markov Models. [Citation Graph (0, 0)][DBLP]
    SETN, 2002, pp:167-178 [Conf]
  23. Alexandros G. Valarakos, Georgios Paliouras, Vangelis Karkaletsis, George A. Vouros
    A Name-Matching Algorithm for Supporting Ontology Enrichment. [Citation Graph (0, 0)][DBLP]
    SETN, 2004, pp:381-389 [Conf]
  24. Georgios Petasis, Alessandro Cucchiarelli, Paola Velardi, Georgios Paliouras, Vangelis Karkaletsis, Constantine D. Spyropoulos
    Automatic adaptation of proper noun dictionaries through cooperation of machine learning and probabilistic methods. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2000, pp:128-135 [Conf]
  25. Dimitrios Pierrakos, Georgios Paliouras
    Exploiting Probabilistic Latent Information for the Construction of Community Web Directories. [Citation Graph (0, 0)][DBLP]
    User Modeling, 2005, pp:89-98 [Conf]
  26. Georgios Sigletos, Dimitra Farmakiotou, Konstantinos Stamatakis, Georgios Paliouras, Vangelis Karkaletsis
    Annotating Web pages for the needs of Web Information Extraction Applications. [Citation Graph (0, 0)][DBLP]
    WWW (Posters), 2003, pp:- [Conf]
  27. Ion Androutsopoulos, John Koutsias, Konstantinos Chandrinos, George Paliouras, Constantine D. Spyropoulos
    An evaluation of Naive Bayesian anti-spam filtering [Citation Graph (0, 0)][DBLP]
    CoRR, 2000, v:0, n:, pp:- [Journal]
  28. Ion Androutsopoulos, Georgios Paliouras, Vangelis Karkaletsis, Georgios Sakkis, Constantine D. Spyropoulos, Panagiotis Stamatopoulos
    Learning to Filter Spam E-Mail: A Comparison of a Naive Bayesian and a Memory-Based Approach [Citation Graph (0, 0)][DBLP]
    CoRR, 2000, v:0, n:, pp:- [Journal]
  29. Georgios Sakkis, Ion Androutsopoulos, Georgios Paliouras, Vangelis Karkaletsis, Constantine D. Spyropoulos, Panagiotis Stamatopoulos
    Stacking classifiers for anti-spam filtering of e-mail [Citation Graph (0, 0)][DBLP]
    CoRR, 2001, v:0, n:, pp:- [Journal]
  30. Georgios Petasis, Vangelis Karkaletsis, Georgios Paliouras, Ion Androutsopoulos, Constantine D. Spyropoulos
    Ellogon: A New Text Engineering Platform [Citation Graph (0, 0)][DBLP]
    CoRR, 2002, v:0, n:, pp:- [Journal]
  31. Georgios Petasis, Georgios Paliouras, Vangelis Karkaletsis, Constantine D. Spyropoulos, Ion Androutsopoulos
    Resolving Part-of-Speech Ambiguity in the Greek Language Using Learning Techniques [Citation Graph (0, 0)][DBLP]
    CoRR, 1999, v:0, n:, pp:- [Journal]
  32. Georgios Sakkis, Ion Androutsopoulos, Georgios Paliouras, Vangelis Karkaletsis, Constantine D. Spyropoulos, Panagiotis Stamatopoulos
    A Memory-Based Approach to Anti-Spam Filtering for Mailing Lists. [Citation Graph (0, 0)][DBLP]
    Inf. Retr., 2003, v:6, n:1, pp:49-73 [Journal]
  33. Georgios Paliouras, Christos Papatheodorou, Vangelis Karkaletsis, Constantine D. Spyropoulos
    Discovering user communities on the Internet using unsupervised machine learning techniques. [Citation Graph (0, 0)][DBLP]
    Interacting with Computers, 2002, v:14, n:6, pp:761-791 [Journal]
  34. Georgios Sigletos, Georgios Paliouras, Constantine D. Spyropoulos, Michael Hatzopoulos
    Combining Information Extraction Systems Using Voting and Stacked Generalization. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2005, v:6, n:, pp:1751-1782 [Journal]
  35. Georgios Paliouras, Yasubumi Sakakibara
    Guest editorial to the special issue on grammatical inference. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2007, v:66, n:1, pp:3-5 [Journal]
  36. Dimitrios Pierrakos, Georgios Paliouras, Christos Papatheodorou, Constantine D. Spyropoulos
    Web Usage Mining as a Tool for Personalization: A Survey. [Citation Graph (0, 0)][DBLP]
    User Model. User-Adapt. Interact., 2003, v:13, n:4, pp:311-372 [Journal]
  37. Evangelos Dellis, Georgios Paliouras
    Management of Large Spatial Ontology Bases. [Citation Graph (0, 0)][DBLP]
    ODBIS, 2006, pp:102-118 [Conf]

  38. Spam Filtering with Naive Bayes - Which Naive Bayes? [Citation Graph (, )][DBLP]


  39. Logic-based representation, reasoning and machine learning for event recognition. [Citation Graph (, )][DBLP]


  40. Learning context-free grammars to extract relations from text. [Citation Graph (, )][DBLP]


  41. Determining Automatically the Size of Learned Ontologies. [Citation Graph (, )][DBLP]


  42. Reinforcement Learning with Classifier Selection for Focused Crawling. [Citation Graph (, )][DBLP]


  43. Behaviour Recognition using the Event Calculus. [Citation Graph (, )][DBLP]


  44. KDTA: Automated Knowledge-Driven Text Annotation. [Citation Graph (, )][DBLP]


  45. Scalable Semantic Annotation of Text Using Lexical and Web Resources. [Citation Graph (, )][DBLP]


  46. MyCites: An Intelligent Information System for Maintaining Citations. [Citation Graph (, )][DBLP]


  47. Learning Ontologies of Appropriate Size. [Citation Graph (, )][DBLP]


  48. Discovering Subsumption Hierarchies of Ontology Concepts from Text Corpora. [Citation Graph (, )][DBLP]


  49. SaR Resource Management Based on Description Logics. [Citation Graph (, )][DBLP]


  50. Ontology-Based Rescue Operation Management. [Citation Graph (, )][DBLP]


  51. Modeling Web Navigation Using Grammatical Inference. [Citation Graph (, )][DBLP]


  52. A Logic Programming Approach to Behaviour Recognition [Citation Graph (, )][DBLP]


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