Evgeni Tsivtsivadze

发表

Learning to Rank with Pairwise Regularized Least-Squares

T. Salakoski, J. Boberg, T. Pahikkala, 2007 .

From ranking to intransitive preference learning: rock-paper-scissors and beyond

B. Baets, T. Salakoski, T. Pahikkala, 2009 .

Unsupervised Multi-View Feature Selection via Co-Regularization

Evgeni Tsivtsivadze, B. Keijser, S. Imangaliyev, 2015 .

A Study of the Variation in the Salivary Peptide Profiles of Young Healthy Adults Acquired Using MALDI-TOF MS

W. Crielaard, Evgeni Tsivtsivadze, E. Veerman, 2016, PloS one.

2 J ul 2 01 3 Semi-supervised Ranking Pursuit

T. Heskes, Evgeni Tsivtsivadze, 2013 .

Learning Semantics for Automated Reasoning

T. Heskes, J. Urban, Evgeni Tsivtsivadze, 2011 .

Early respiratory microbiota composition determines bacterial succession patterns and respiratory health in children.

R. Veenhoven, E. Sanders, Evgeni Tsivtsivadze, 2014, American journal of respiratory and critical care medicine.

Lactobacillus-dominated cervicovaginal microbiota associated with reduced HIV/STI prevalence and genital HIV viral load in African women

J. Wijgert, Evgeni Tsivtsivadze, M. Marzorati, 2014, The ISME Journal.

Correlates of the molecular vaginal microbiota composition of African women

S. Delany-Moretlwe, Suzanna C. Francis, J. H. van de Wijgert, 2015, BMC Infectious Diseases.

Interindividual variation, correlations, and sex-related differences in the salivary biochemistry of young healthy adults.

W. Crielaard, Evgeni Tsivtsivadze, E. Veerman, 2015, European journal of oral sciences.

Learning Preferences with Co-Regularized Least-Squares

Tapio Salakoski, Tapio Pahikkala, Fabian Gieseke, 2008 .

Lipoprotein Metabolism Indicators Improve Cardiovascular Risk Prediction

A. D. de Graaf, J. van der Greef, J. Ordovás, 2013, PloS one.

Pattern Recognition in Bioinformatics

Elena Marchiori, Tom Heskes, Tjeerd M. H. Dijkstra, 2010 .

OmpU as a biomarker for rapid discrimination between toxigenic and epidemic Vibrio cholerae O1/O139 and non-epidemic Vibrio cholerae in a modified MALDI-TOF MS assay

Evgeni Tsivtsivadze, M. Niemcewicz, A. D. de Jong, 2014, BMC Microbiology.

Personalized microbial network inference via co-regularized spectral clustering.

W. Crielaard, Evgeni Tsivtsivadze, B. Keijser, 2015, Methods.

Learning intransitive reciprocal relations with kernel methods

Tapio Salakoski, Bernard De Baets, Tapio Pahikkala, 2010, Eur. J. Oper. Res..

Learning Preferences with Kernel-Based Methods

Evgeni Tsivtsivadze, Evgeni Tsivtsivadze, 2009 .

The Impact of Hormonal Contraception and Pregnancy on Sexually Transmitted Infections and on Cervicovaginal Microbiota in African Sex Workers

J. H. van de Wijgert, F. Wit, Evgeni Tsivtsivadze, 2015, Sexually transmitted diseases.

OmpU as a biomarker for rapid discrimination between toxigenic and epidemic Vibrio cholerae O1/O139 and non-epidemic Vibrio cholerae in a modified MALDI-TOF MS assay

Evgeni Tsivtsivadze, M. Niemcewicz, A. D. de Jong, 2014, BMC Microbiology.

Personalized microbial network inference via co-regularized spectral clustering

Sultan Imangaliyev, Evgeni Tsivtsivadze, Bart Keijser, 2015, 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

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

Tom Heskes, Evgeni Tsivtsivadze, L. Niels Cornelisse, 2012, PLoS Comput. Biol..

Locality-Convolution Kernel and Its Application to Dependency Parse Ranking

Tapio Salakoski, Tapio Pahikkala, Evgeni Tsivtsivadze, 2006, IEA/AIE.

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

Tom Heskes, Evgeni Tsivtsivadze, Rita Verhelst, 2013, PSL.

Semantic Graph Kernels for Automated Reasoning

Josef Urban, Herman Geuvers, Tom Heskes, 2011, SDM.

Premise Selection for Mathematics by Corpus Analysis and Kernel Methods

Jesse Alama, Josef Urban, Evgeni Tsivtsivadze, 2011, Journal of Automated Reasoning.

Overview and Evaluation of Premise Selection Techniques for Large Theory Mathematics

Josef Urban, Tom Heskes, Evgeni Tsivtsivadze, 2012, IJCAR.

Online Co-regularized Algorithms

Tom Heskes, Evgeni Tsivtsivadze, Tom de Ruijter, 2012, Discovery Science.

Online semi-supervised learning: Algorithm and application in metagenomics

Sultan Imangaliyev, Evgeni Tsivtsivadze, Bart Keijser, 2013, 2013 IEEE International Conference on Bioinformatics and Biomedicine.

Large Scale Co-Regularized Ranking

Tom Heskes, Evgeni Tsivtsivadze, K. Hofmann, 2012 .

An efficient algorithm for learning to rank from preference graphs

Tapio Pahikkala, Antti Airola, Jouni Järvinen, 2009, Machine Learning.

Locality Kernels for Protein Classification

Tapio Salakoski, Evgeni Tsivtsivadze, Jorma Boberg, 2007, WABI.

Evolutionary analysis in PPI networks and applications

P. Jancura, J. Mooij, E. Marchiori, 2008 .

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

M. Verhage, Evgeni Tsivtsivadze, J. Haugh, 2012, PLoS Comput. Biol..

Kernels for Text Analysis

Tapio Salakoski, Tapio Pahikkala, Evgeni Tsivtsivadze, 2008, Advances of Computational Intelligence in Industrial Systems.

Kernel Methods

J. Boberg, T. Pahikkala, Evgeni Tsivtsivadze, 2020, Data Mining and Machine Learning.

Regularized Least-Squares for Parse Ranking

Tapio Salakoski, Sampo Pyysalo, Tapio Pahikkala, 2005, IDA.

Locality kernels for sequential data and their applications to parse ranking

Tapio Salakoski, Tapio Pahikkala, Evgeni Tsivtsivadze, 2009, Applied Intelligence.

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

Tom Heskes, Evgeni Tsivtsivadze, Armand Paauw, 2013, MCS.

Co-Regularized Least-Squares for Label Ranking

Tapio Salakoski, Tapio Pahikkala, Tom Heskes, 2010, Preference Learning.

Semi-supervised Ranking Pursuit pdf

Tom Heskes, Evgeni Tsivtsivadze, T. Heskes, 2013, ArXiv.