Evgeni Tsivtsivadze

Publication Activity (10 Years)

Years Active: 2005-2014
Publications (10 Years): 0

Top Topics

Similarity Matrix

Spectral Clustering

Eigendecomposition

Top Venues

Discovery Science

Publications

Jesse Alama, Tom Heskes, Daniel Kühlwein, Evgeni Tsivtsivadze, Josef Urban
Premise Selection for Mathematics by Corpus Analysis and Kernel Methods. J. Autom. Reason. 52 (2) (2014)
Sultan Imangaliyev, Bart Keijser, Wim Crielaard, Evgeni Tsivtsivadze
Personalized microbial network inference via co-regularized spectral clustering. BIBM (2014)
Evgeni Tsivtsivadze, Hanneke Borgdorff, Janneke van de Wijgert, Frank H. J. Schuren, Rita Verhelst, Tom Heskes
Neighborhood Co-regularized Multi-view Spectral Clustering of Microbiome Data. PSL (2013)
Evgeni Tsivtsivadze, Tom Heskes, Armand Paauw
Multi-view Multi-class Classification for Identification of Pathogenic Bacterial Strains. MCS (2013)
Sultan Imangaliyev, Bart Keijser, Wim Crielaard, Evgeni Tsivtsivadze
Online semi-supervised learning: Algorithm and application in metagenomics. BIBM (2013)
Evgeni Tsivtsivadze, Tom Heskes
Semi-supervised Ranking Pursuit. CoRR (2013)
L. Niels Cornelisse, Evgeni Tsivtsivadze, Marieke Meijer, Tjeerd Dijkstra, Tom Heskes, Matthijs Verhage
Molecular Machines in the Synapse: Overlapping Protein Sets Control Distinct Steps in Neurosecretion. PLoS Comput. Biol. 8 (4) (2012)
Tom de Ruijter, Evgeni Tsivtsivadze, Tom Heskes
Online Co-regularized Algorithms. Discovery Science (2012)
Daniel Kühlwein, Twan van Laarhoven, Evgeni Tsivtsivadze, Josef Urban, Tom Heskes
Overview and Evaluation of Premise Selection Techniques for Large Theory Mathematics. IJCAR (2012)
Daniel Kühlwein, Josef Urban, Evgeni Tsivtsivadze, Herman Geuvers, Tom Heskes
Multi-output Ranking for Automated Reasoning. KDIR (2011)
Evgeni Tsivtsivadze, Josef Urban, Herman Geuvers, Tom Heskes
Semantic Graph Kernels for Automated Reasoning. SDM (2011)
Jesse Alama, Daniel Kühlwein, Evgeni Tsivtsivadze, Josef Urban, Tom Heskes
Premise Selection for Mathematics by Corpus Analysis and Kernel Methods CoRR (2011)
Daniel Kühlwein, Josef Urban, Evgeni Tsivtsivadze, Herman Geuvers, Tom Heskes
Learning2Reason. Calculemus/MKM (2011)
Tapio Pahikkala, Willem Waegeman, Evgeni Tsivtsivadze, Tapio Salakoski, Bernard De Baets
Learning intransitive reciprocal relations with kernel methods. Eur. J. Oper. Res. 206 (3) (2010)
Tapio Pahikkala, Evgeni Tsivtsivadze, Antti Airola, Jouni Järvinen, Jorma Boberg
An efficient algorithm for learning to rank from preference graphs. Mach. Learn. 75 (1) (2009)
Evgeni Tsivtsivadze, Tapio Pahikkala, Jorma Boberg, Tapio Salakoski
Locality kernels for sequential data and their applications to parse ranking. Appl. Intell. 31 (1) (2009)
Evgeni Tsivtsivadze, Tapio Pahikkala, Antti Airola, Jorma Boberg, Tapio Salakoski
A Sparse Regularized Least-Squares Preference Learning Algorithm. SCAI (2008)
Evgeni Tsivtsivadze, Jorma Boberg, Tapio Salakoski
Locality Kernels for Protein Classification. WABI (2007)
Evgeni Tsivtsivadze, Tapio Pahikkala, Jorma Boberg, Tapio Salakoski
Locality-Convolution Kernel and Its Application to Dependency Parse Ranking. IEA/AIE (2006)
Evgeni Tsivtsivadze, Tapio Pahikkala, Sampo Pyysalo, Jorma Boberg, Aleksandr Mylläri, Tapio Salakoski
Regularized Least-Squares for Parse Ranking. IDA (2005)