Evgeni Tsivtsivadze

According to our database, Evgeni Tsivtsivadze authored at least 21 papers between 2005 and 2014.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2014

Premise Selection for Mathematics by Corpus Analysis and Kernel Methods.

Jesse Alama, Tom Heskes, Daniel Kühlwein, Evgeni Tsivtsivadze, Josef Urban

J. Autom. Reason., 2014

Personalized microbial network inference via co-regularized spectral clustering.

Sultan Imangaliyev, Bart Keijser, Wim Crielaard, Evgeni Tsivtsivadze

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013

Semi-supervised Ranking Pursuit.

Evgeni Tsivtsivadze, Tom Heskes

CoRR, 2013

Neighborhood Co-regularized Multi-view Spectral Clustering of Microbiome Data.

Evgeni Tsivtsivadze, Hanneke Borgdorff, Janneke van de Wijgert, Frank H. J. Schuren, Rita Verhelst, Tom Heskes

Proceedings of the Partially Supervised Learning - Second IAPR International Workshop, 2013

Multi-view Multi-class Classification for Identification of Pathogenic Bacterial Strains.

Evgeni Tsivtsivadze, Tom Heskes, Armand Paauw

Proceedings of the Multiple Classifier Systems, 11th International Workshop, 2013

Online semi-supervised learning: Algorithm and application in metagenomics.

Sultan Imangaliyev, Bart Keijser, Wim Crielaard, Evgeni Tsivtsivadze

Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012

Molecular Machines in the Synapse: Overlapping Protein Sets Control Distinct Steps in Neurosecretion.

L. Niels Cornelisse, Evgeni Tsivtsivadze, Marieke Meijer, Tjeerd Dijkstra, Tom Heskes, Matthijs Verhage

PLoS Comput. Biol., 2012

Online Co-regularized Algorithms.

Tom de Ruijter, Evgeni Tsivtsivadze, Tom Heskes

Proceedings of the Discovery Science - 15th International Conference, 2012

Overview and Evaluation of Premise Selection Techniques for Large Theory Mathematics.

Daniel Kühlwein, Twan van Laarhoven, Evgeni Tsivtsivadze, Josef Urban, Tom Heskes

Proceedings of the Automated Reasoning - 6th International Joint Conference, 2012

2011

Semantic Graph Kernels for Automated Reasoning.

Evgeni Tsivtsivadze, Josef Urban, Herman Geuvers, Tom Heskes

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Learning2Reason.

Daniel Kühlwein, Josef Urban, Evgeni Tsivtsivadze, Herman Geuvers, Tom Heskes

Proceedings of the Intelligent Computer Mathematics - 18th Symposium, 2011

Multi-output Ranking for Automated Reasoning.

Daniel Kühlwein, Josef Urban, Evgeni Tsivtsivadze, Herman Geuvers, Tom Heskes

Proceedings of the KDIR 2011, 2011

2010

Learning intransitive reciprocal relations with kernel methods.

Tapio Pahikkala, Willem Waegeman, Evgeni Tsivtsivadze, Tapio Salakoski, Bernard De Baets

Eur. J. Oper. Res., 2010

Co-Regularized Least-Squares for Label Ranking.

Evgeni Tsivtsivadze, Tapio Pahikkala, Jorma Boberg, Tapio Salakoski, Tom Heskes

Proceedings of the Preference Learning., 2010

2009

An efficient algorithm for learning to rank from preference graphs.

Tapio Pahikkala, Evgeni Tsivtsivadze, Antti Airola, Jouni Järvinen, Jorma Boberg

Mach. Learn., 2009

Locality kernels for sequential data and their applications to parse ranking.

Evgeni Tsivtsivadze, Tapio Pahikkala, Jorma Boberg, Tapio Salakoski

Appl. Intell., 2009

2008

Kernels for Text Analysis.

Evgeni Tsivtsivadze, Tapio Pahikkala, Jorma Boberg, Tapio Salakoski

Proceedings of the Advances of Computational Intelligence in Industrial Systems, 2008

A Sparse Regularized Least-Squares Preference Learning Algorithm.

Evgeni Tsivtsivadze, Tapio Pahikkala, Antti Airola, Jorma Boberg, Tapio Salakoski

Proceedings of the Tenth Scandinavian Conference on Artificial Intelligence, 2008

2007

Locality Kernels for Protein Classification.

Evgeni Tsivtsivadze, Jorma Boberg, Tapio Salakoski

Proceedings of the Algorithms in Bioinformatics, 7th International Workshop, 2007

2006

Locality-Convolution Kernel and Its Application to Dependency Parse Ranking.

Evgeni Tsivtsivadze, Tapio Pahikkala, Jorma Boberg, Tapio Salakoski

Proceedings of the Advances in Applied Artificial Intelligence, 2006

2005

Regularized Least-Squares for Parse Ranking.

Evgeni Tsivtsivadze, Tapio Pahikkala, Sampo Pyysalo, Jorma Boberg, Aleksandr Mylläri, Tapio Salakoski

Proceedings of the Advances in Intelligent Data Analysis VI, 2005