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Articles in journals (3):

Articles in proceedings (12):

  • Antolin Janssen, Evgeni Tsivtsivadze, Jorma Boberg, Tjeerd M.H. Dijkstra, Tom Heskes, Efficient Remote Homology Detection. In: Supplementary Proceedings of Pattern Recognition in Bioinformatics, 5th IAPR International Conference, PRIB 2010 Nijmegen, The Netherlands, September 22-24, 2010, 2010.
  • Tapio Pahikkala, Willem Waegeman, Evgeni Tsivtsivadze, Bernard De Baets, Tapio Salakoski, Learning Intransitive Reciprocal Relations with Regularized Least-Squares. In: Menno van Zaanen, Herman Stehouwer, Marieke van Erp (Eds.), Proceedings of the 18th Annual Belgian-Dutch Conference on Machine Learning (Benelearn 09), 13-20, 2009.
  • Tapio Pahikkala, Willem Waegeman, Evgeni Tsivtsivadze, Tapio Salakoski, Bernard De Baets, From Ranking to Intransitive Preference Learning: Rock-Paper-Scissors and beyond. In: Eyke Hüllermeier, Johannes Fürnkranz (Eds.), Proceedings of the ECML/PKDD-Workshop on Preference Learning (PL-09), 84-100, 2009.
  • Tapio Pahikkala, Evgeni Tsivtsivadze, Antti Airola, Tapio Salakoski, Regularized Least-Squares for Learning Non-Transitive Preferences between Strategies. In: Pentti Haikonen Tapani Raiko, Jaakko Väyrynen (Eds.), Proceedings of the 13th Finnish Artificial Intelligence Conference, STeP 2008, 94-98, Finnish Artificial Intelligence Society (STeS), 2008.
  • Evgeni Tsivtsivadze, Fabian Gieseke, Tapio Pahikkala, Jorma Boberg, Tapio Salakoski, Learning Preferences with Co-Regularized Least-Squares. In: Proceedings of the ECML/PKDD Workshop on Preference Learning (PL-08), 2008.
  • Evgeni Tsivtsivadze, Tapio Pahikkala, Antti Airola, Jorma Boberg, Tapio Salakoski, A Sparse Regularized Least-Squares Preference Learning Algorithm. In: Anders Holst, Per Kreuger, Peter Funk (Eds.), Proceedings of the Tenth Scandinavian Conference on Artificial Intelligence (SCAI 2008), Frontiers in Artificial Intelligence and Applications 173, 76–83, IOS Press, 2008.
  • Tapio Pahikkala, Evgeni Tsivtsivadze, Antti Airola, Jorma Boberg, Tapio Salakoski, Learning to Rank with Pairwise Regularized Least-Squares. In: Thorsten Joachims, Hang Li, Tie-Yan Liu, ChengXiang Zhai (Eds.), SIGIR 2007 Workshop on Learning to Rank for Information Retrieval, 27-33, 2007.
  • Evgeni Tsivtsivadze, Jorma Boberg, Tapio Salakoski, Locality Kernels for Protein Classification. In: Sridhar Hannenhalli Raffaele Giancarlo (Ed.), Algorithms in Bioinformatics, 7th International Workshop, Lecture Notes in Computer Science 4645, 2–11, Springer, 2007.
  • Tapio Pahikkala, Evgeni Tsivtsivadze, Jorma Boberg, Tapio Salakoski, Graph Kernels versus Graph Representations: a Case Study in Parse Ranking. In: Thomas Gärtner, Gemma C. Garriga, Thorsten Meinl (Eds.), Proceedings of the ECML/PKDD'06 workshop on Mining and Learning with Graphs (MLG'06), 181-188, 2006.
  • Evgeni Tsivtsivadze, Tapio Pahikkala, Jorma Boberg, Tapio Salakoski, Locality-Convolution Kernel and Its Application to Dependency Parse Ranking. In: Advances in Applied Artificial Intelligence, 19th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2006, Annecy, France, June 27-30, 2006. Proceedings, Lecture Notes in Computer Science 4031, 610–618, Springer, 2006.
  • Filip Ginter, Tapio Pahikkala, Sampo Pyysalo, Evgeni Tsivtsivadze, Jorma Boberg, Jouni Järvinen, Aleksandr Mylläri, Tapio Salakoski, Information Extraction from Biomedical Text: The BioText Project. In: Margit Langemets, Priit Penjam (Eds.), Proceedings of the Second Baltic Conference on Human Language Technologies (HLT 2005), 131-136, Institute of Cybernetics, Tallinn University of Technology and Institute of the Estonian Language, 2005.
  • Evgeni Tsivtsivadze, Tapio Pahikkala, Sampo Pyysalo, Jorma Boberg, Aleksandr Mylläri, Tapio Salakoski, Regularized Least-Squares for Parse Ranking. In: In proceedings of the 6th International Symposiumon Intelligent Data Analysis, Lecture Notes in Computer Science, 464–474, Springer-Verlag Berlin Heidelberg 2005, 2005.

Chapters in edited books (2):

  • Evgeni Tsivtsivadze, Tapio Pahikkala, Jorma Boberg, Tapio Salakoski, Tom Heskes, Co-Regularized Least-Squares for Label Ranking. In: Johannes Fürnkranz, Eyke Hüllermeier (Eds.), Preference Learning, 107–123, Springer, 2010.
  • Evgeni Tsivtsivadze, Tapio Pahikkala, Jorma Boberg, Tapio Salakoski, Kernels for Text Analysis. In: Aixin Sun Han Tong Loh Wen Feng Lu Ee-Peng Lim Ying Liu (Ed.), Advances of Computational Intelligence in Industrial Systems, Studies in Computational Intelligence Volume 116/2008, 81–97, Springer Berlin / Heidelberg, 2008.

Ph.D. thesis (1):