Publications

  1. A. Saravanou, I. Katakis, G. Valkanas, V. Kalogeraki, D. Gunopulos, Revealing the Hidden Links in Content Networks: An Application to Event Discovery, CIKM 2017, International Conference on Information and Knowledge Management, 6-10 Nov 2017,  Singapore.
  2. I. Litou, V. Kalogeraki, I. Katakis, D. Gunopulos,”Efficient and Timely Misinformation Blocking under varying Cost Constraints“, Online Social Networks and Media, Elsevier, 2017.
  3. P. Agathangelou, I. Katakis, L. Rori, D. Gunopulos and B. Richards, “Understanding Online Political Networks: The case of the far-right and far-left in Greece,  in the proceedings of the 9th International Conference on Social Informatics (SocInfo 2017), Oxford, UK, 13-15 September 2017.
  4. A. Gal, D. Gunopulos, V. Kalogeraki, I. Katakis, N. Panagiotou, N. Rivetti and A. Senderovich, “REMI, Reusable Elements for Multi-Level Information Availability“, in the proceedings of the 11th ACM International Conference on Distributed and Event-Based Systems (DEBS 2017), June 19-23, 2017, Barcelona, Spain.
  5. P. Agathangelou, I. Katakis, I. Koutoulakis, F. Kokkoras, D. Gunopulos, Learning Patterns for Discovering Domain Oriented Opinion Words. Knowledge and Information Systems, Springer, 2017.
  6. N. Panagiotou, N. Zygouras, I. Katakis, D. Gunopulos, N. Zacheilas, I. Boutsis, V. Kalogeraki, S. Lynch, B. O’Brien,  Intelligent Urban Data Monitoring for Smart Cities, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML/PKDD’16), Riva del Garda, Italy, September 19–23, 2016.
  7. N. Panagiotou, N. Zygouras I. Katakis, D. Gunopulos, N. Zacheilas, …, G. Andrienko, “INSIGHT: Dynamic Traffic Management Using Heterogeneous Urban Data“,  European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML/PKDD’16), Riva del Garda, Italy, September 19–23, 2016.
  8. N. Panagiotou, I. Katakis, D. Gunopulos, V. Kalogeraki, E. Daly, J. Yuan Yu, Brendan O’ Brien, “Mining Hidden Constrained Streams in Practice: Informed Search in Dynamic Filter Spaces”, The 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016, San Francisco, CA, USA, 18 – 21 August, 2016.
  9. P. Agathangelou, I. Katakis, F. Mendez, U. Serdult. D. Gunopulos, `The lifecycle of internet voters: Data mining for sequences in Swiss referendum data’, presented at 24th World Congress of Political Science, July 23-28, 201, Poznań, Poland
  10. L. Rori, P. Agathangelou, I. Katakis, D. Gunopulos, B. Richards, “Online Dynamics of Far-Right and Far-Left Communities: The Case of the September 2015 Parliamentary Elections in Greece“, presented at the European Consortium for Political Research (ECPR) Joint Sessions, Scuola Normale Superiore, Scuola Superiore Sant’ Anna and University of Pisa, Pisa, 24-28 April 2016
  11. I. Litou, V. Kalogeraki, I. Katakis, D. Gunopulos, “Real-Time and Cost-Effective Limitation of Misinformation Propagation”,  IEEE International Conference on Mobile Data Management (MDM 2016), 13-16 June, 2016, Porto, Portugal.
  12. N. Panagiotou, I. Katakis, D. Gunopulos, “Detecting Events in Online Social Networks: Definitions, Trends and Challenges“, in Solving Large Scale Learning Tasks: Challenges and Algorithms, S. Michaelis, N. Piatkowski, and M. Stolpe, Eds., Springer International Publishing, 2016.
  13. Sylvia Steenhoek, Gennady Andrienko, Natalia Andrienko, Ioannis Katakis, Antonia Saravanou, George Valkanas, Dimitrios Gunopulos, George Fuchs, and Hendrik Stange, “Storms and Floods in Social Media: How the @INSIGHT project follows extreme #weather phenomena“, Crisis Prevention, Beta Verlag und Marketinggesellschaft mbH, Issue 4 (2015), in German (Stürme und Hochwasser in Social Media: Wie das INSIGHT Projekt #extreme @Wetterphänomene beobachtet)
  14. I. Katakis, D. Gunopulos, Integrating Heterogeneous Urban Data for Emergency Response: The INSIGHT project into Dublin’s Traffic Control Room, European Data Forum (EDF 2015), Luxembourg, November 16-17, 2015.
  15. D. Kotsakos, P. Sakkos, I. Katakis, D. Gunopulos, “Language Agnostic Meme-Filtering for Hashtag-based Social Network Analysis“, Social Network Analysis and Mining, Springer.
  16. N. Zygouras, N. Panagiotou, N. Zacheilas, I. Boutsis, V. Kalogeraki, I. Katakis and D. Gunopulos. “Towards detection of faulty traffic sensors in real-time“, 2nd International Workshop on Mining Urban Data (MUD2), International Conference on Machine Learning (ICML 2015), Lille, France.
  17. P. Agathangelou, I. Katakis, F. Kokkoras, K. Ntonas, “Mining Domain-Specific Dictionaries of Opinion Words“, 15th International Conference on Web Information System Engineering (WISE 2014)
  18. D. Kotsakos, P. Sakkos, I. Katakis, D. Gunopulos, “#tag: Meme or Event?“, The 2014 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM 2014), Beijing, China, August 17-20, 2014.
  19. G. Valkanas, I. Katakis, D. Gunopulos, A. Stefanidis, “Mining Twitter Data with Resource Constraints“,  The 2014 IEEE/WIC/ACM International Conference on Web Intelligence, 11-14 August 2014, Warsaw, Poland.
  20. I. Katakis, N. Tsapatsoulis, F. Mendez, V. Triga, C. Djouvas, “Social Voting Advice Applications – Definitions, Challenges, Datasets and Evaluation“, IEEE Transactions on Cybernetics, IEEE, 2013.
  21. M. Agathokleous, N. Tsapatsoulis, I. Katakis, “On the quantificiation of missing value impact on Voting Advice Applications“, In proceedings of EANN 2013 : 14th Engineering Applications of Neural Networks, Halkidiki Greece, Chalkidiki, 2013.
  22. Ioannis Katakis, Nicolas Tsapatsoulis, Vasiliki Triga, Constantinos Tziouvas and Fernando Mendez, “Clustering Online Poll Data: Towards a Voting Assistance System”,7th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP 12), Luxembourg-Krichberg, December 3-4, 2012.
  23. I. Katakis, G. Pallis, M.D. Dikaiakos, O. Onoufriou, “Automated Tagging for the Retrieval of SoftwareResources in Grid and Cloud Infrastructures”, IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, Ottawa, Canada, 2012.
  24. G. Tsoumakas, I. Katakis, I. Vlahavas, “Random k-Labelsets for Multi-Label Classification”, IEEE Transactions on Knowledge and Data Engineering, IEEE, 2010.
  25. G. Tsoumakas, E. Loza Mencia, I. Katakis, S. Park, J. Furnkrnaz, “On the combination of two decompositive multi-label classification methods”, Workshop on Preference Learning, ECML PKDD 09, Eyke Hullermeir, Johannes Furnkranz (Ed.), pp. 114-133, Bled, Slovenia, 2009.
  26. G. Tsoumakas, I. Katakis, I. Vlahavas, “Mining Multi-label Data”, Data Mining and Knowledge Discovery Handbook, O. Maimon, L. Rokach (Ed.), Springer, 2nd edition, 2009
  27. I. Katakis, G. Tsoumakas, I. Vlahavas, “Tracking Recurring Contexts using Ensemble Classifiers: An Application to Email Filtering”, Knowledge and Information Systems, Springer, 2009.
  28. I. Katakis, G. Meditskos, G. Tsoumakas, N. Bassiliades, I. Vlahavas, “On the Combination of Textual and Semantic Descriptions for Automated Semantic Web Service Classification”, Proceedings of the 5th IFIP Conference on Artificial Intelligence Applications & Innovations (AIAI 2009), Springer, Thessaloniki, 2009.
  29. I. Katakis, G. Tsoumakas, I. Vlahavas, “Multilabel Text Classification for Automated Tag Suggestion”, Proceedings of the ECML/PKDD 2008 Discovery Challenge, Antwerp, 2008.
  30. G. Tsoumakas, I. Katakis, I. Vlahavas, “Effective and Efficient Multilabel Classification in Domains with Large Number of Labels”, Proc. ECML/PKDD 2008 Workshop on Mining Multidimensional Data (MMD’08), Antwerp, Belgium, 2008.
  31. I. Katakis, G. Tsoumakas, I. Vlahavas, “An Ensemble of Classifiers for coping with Recurring Contexts in Data Streams”, 18th European Conference on Artificial Intelligence, IOS Press, Patras, Greece, 2008.
  32. I. Katakis, G. Tsoumakas, E. Banos, N. Bassiliades, I. Vlahavas, “An Adaptive Personalized News Dissemination System”, Journal of Intelligent Information Systems, Springer, 2008.
  33. G. Tsoumakas, I. Katakis, “Multi Label Classification: An Overview”, International Journal of Data Warehousing and Mining, David Taniar (Ed.), Idea Group Publishing, 3(3), pp. 1-13, 2007.
  34. E. Banos, I. Katakis, N. Bassiliades, G. Tsoumakas, I. Vlahavas, “PersoNews: A Personalized News Reader Enhanced by Machine Learning and Semantic Filtering”, 5th International Conference on Ontologies, DataBases, and Applications of Semantics (ODBASE 2006), R. Meersman, Z. Tari (Ed.), Springer-Verlag, pp. 975-982, Montpellier, France, 2006.
  35. I. Katakis, G. Tsoumakas, I. Vlahavas, “Dynamic Feature Space and Incremental Feature Selection for the Classification of Textual Data Streams”, ECML/PKDD-2006 International Workshop on Knowledge Discovery from Data Streams, pp. 107-116, Berlin, Germany, 2006.
  36. G. Tzanis, I. Katakis, I. Partalas, I. Vlahavas, “Modern Applications of Machine Learning”, Proceedings of the 1st Annual SEERC Doctoral Student Conference, Thessaloniki, Greece, 2006.
  37. G. Tsoumakas, I. Katakis, I. Vlahavas, “A Review of Multi-Label Classification Methods”, 2nd ADBIS Workshop on Data Mining and Knowledge Discovery, pp. 99-109, 2006.
  38. I. Partalas, G. Tsoumakas, I. Katakis, I. Vlahavas, “Ensemble Pruning using Reinforcement Learning”, Proc. 4th Hellenic Conference on Artificial Intelligence (SETN-06), G. Antoniou, G. Potamias, D. Plexousakis, C. Spyropoulos (Ed.), Springer-Verlag, LNAI 3955, pp. 301-310, Heraklion, Crete, 18-20 May, 2006.
  39. I. Katakis, G. Tsoumakas, I. Vlahavas, “Email Mining: Emerging Techniques for Email Management”, Web Data Management Practices: Emerging Techniques and Technologies, Athena Vakali, George Pallis (Ed.), Idea Group Publishing, pp. 219-240, 2006.
  40. I. Katakis, G. Tsoumakas, I. Vlahavas, “On the Utility of Incremental Feature Selection for the Classification of Textual Data Streams”, 10th Panhellenic Conference on Informatics (PCI 2005), P. Bozanis and E.N. Houstis (Eds.), Springer-Verlag, LNCS 3746, pp. 338-348, Volos, Greece, 11-13 November, 2005.
  41. G. Tsoumakas, I. Katakis, I. Vlahavas, “Effective Voting of Heterogeneous Classifiers”, Proc. European Conference on Machine Learning, ECML 04, Jean-Francois Boulicaut, Floriana Esposito, Fosca Giannoti, Dino Pedreschi (Ed.), LNAI 3201, pp. 465-476, Pisa, Italy, 2004.