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Evgeni Tsivtsivadze
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2010 – 2019
- 2014
- [j5]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): 191-213 (2014) - [c13]Sultan Imangaliyev, Bart Keijser, Wim Crielaard, Evgeni Tsivtsivadze:
Personalized microbial network inference via co-regularized spectral clustering. BIBM 2014: 484-488 - 2013
- [c12]Sultan Imangaliyev, Bart Keijser, Wim Crielaard, Evgeni Tsivtsivadze:
Online semi-supervised learning: Algorithm and application in metagenomics. BIBM 2013: 521-525 - [c11]Evgeni Tsivtsivadze, Tom Heskes
Multi-view Multi-class Classification for Identification of Pathogenic Bacterial Strains. MCS 2013: 61-72 - [c10]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: 80-90 - [i2]Evgeni Tsivtsivadze, Tom Heskes:
Semi-supervised Ranking Pursuit. CoRR abs/1307.0846 (2013) - 2012
- [j4]L. Niels Cornelisse
Molecular Machines in the Synapse: Overlapping Protein Sets Control Distinct Steps in Neurosecretion. PLoS Comput. Biol. 8(4) (2012) - [c9]Daniel Kühlwein, Twan van Laarhoven, Evgeni Tsivtsivadze, Josef Urban, Tom Heskes
Overview and Evaluation of Premise Selection Techniques for Large Theory Mathematics. IJCAR 2012: 378-392 - [c8]Tom de Ruijter, Evgeni Tsivtsivadze, Tom Heskes
Online Co-regularized Algorithms. Discovery Science 2012: 184-193 - 2011
- [c7]Daniel Kühlwein, Josef Urban, Evgeni Tsivtsivadze, Herman Geuvers, Tom Heskes:
Multi-output Ranking for Automated Reasoning. KDIR 2011: 42-51 - [c6]Daniel Kühlwein, Josef Urban, Evgeni Tsivtsivadze, Herman Geuvers, Tom Heskes
Learning2Reason. Calculemus/MKM 2011: 298-300 - [c5]Evgeni Tsivtsivadze, Josef Urban, Herman Geuvers, Tom Heskes
Semantic Graph Kernels for Automated Reasoning. SDM 2011: 795-803 - [i1]Jesse Alama, Daniel Kühlwein, Evgeni Tsivtsivadze, Josef Urban, Tom Heskes:
Premise Selection for Mathematics by Corpus Analysis and Kernel Methods. CoRR abs/1108.3446 (2011) - 2010
- [j3]Tapio Pahikkala
Learning intransitive reciprocal relations with kernel methods. Eur. J. Oper. Res. 206(3): 676-685 (2010) - [p2]Evgeni Tsivtsivadze, Tapio Pahikkala
Co-Regularized Least-Squares for Label Ranking. Preference Learning 2010: 107-123 - [e1]Tjeerd Dijkstra, Evgeni Tsivtsivadze, Elena Marchiori, Tom Heskes:
Pattern Recognition in Bioinformatics - 5th IAPR International Conference, PRIB 2010, Nijmegen, The Netherlands, September 22-24, 2010. Proceedings. Lecture Notes in Computer Science 6282, Springer 2010, ISBN 978-3-642-16000-4 [contents]
2000 – 2009
- 2009
- [j2]Evgeni Tsivtsivadze, Tapio Pahikkala
Locality kernels for sequential data and their applications to parse ranking. Appl. Intell. 31(1): 81-88 (2009) - [j1]Tapio Pahikkala
An efficient algorithm for learning to rank from preference graphs. Mach. Learn. 75(1): 129-165 (2009) - 2008
- [c4]Evgeni Tsivtsivadze, Tapio Pahikkala, Antti Airola, Jorma Boberg, Tapio Salakoski:
A Sparse Regularized Least-Squares Preference Learning Algorithm. SCAI 2008: 76-83 - [p1]Evgeni Tsivtsivadze, Tapio Pahikkala
Kernels for Text Analysis. Advances of Computational Intelligence in Industrial Systems 2008: 81-97 - 2007
- [c3]Evgeni Tsivtsivadze, Jorma Boberg, Tapio Salakoski:
Locality Kernels for Protein Classification. WABI 2007: 2-11 - 2006
- [c2]Evgeni Tsivtsivadze, Tapio Pahikkala
Locality-Convolution Kernel and Its Application to Dependency Parse Ranking. IEA/AIE 2006: 610-618 - 2005
- [c1]Evgeni Tsivtsivadze, Tapio Pahikkala
Regularized Least-Squares for Parse Ranking. IDA 2005: 464-474
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