Text mining with information-theoretic clustering. - Jacob Kogan; Charles K. Nicholas; Vladimir Volkovich 001 (Comput. Sci. Eng., 2003)

The method of N-grams in large-scale clustering of DNA texts. - Zeev Volkovich; Valery M. Kirzhner; Alexander Bolshoy; Eviatar Nevo; Abraham B. Korol (Pattern Recognit., 2005)

Sampling Methods for Building Initial Partitions. - Zeev Volkovich; Jacob Kogan; Charles K. Nicholas (Grouping Multidimensional Data, 2006)

On prokaryotes' clustering based on curvature distribution. - Limor Kozobay-Avraham; Alexander Bolshoy; Zeev Volkovich (Advances in Web Intelligence and Data Mining, 2006)

A cluster stability criteria based on the two-sample test concept. - Zeev Volkovich; Zeev Barzily; L. Morozensky (Advances in Web Intelligence and Data Mining, 2006)

Building initial partitions through sampling techniques. - Vladimir Volkovich 001; Jacob Kogan; Charles K. Nicholas (Eur. J. Oper. Res., 2007)

A statistical model of cluster stability. - Zeev Volkovich; Zeev Barzily; L. Morozensky (Pattern Recognit., 2008)

Whole-genome prokaryotic clustering based on gene lengths. - Alexander Bolshoy; Zeev Volkovich (Discret. Appl. Math., 2009)

Prokaryote clustering based on DNA curvature distributions. - Limor Kozobay-Avraham; Sergey Hosid; Zeev Volkovich; Alexander Bolshoy (Discret. Appl. Math., 2009)

On a Minimal Spanning Tree Approach in the Cluster Validation Problem. - Zeev Barzily; Zeev Volkovich; Basak Akteke-Öztürk; Gerhard-Wilhelm Weber (Informatica, 2009)

A linguistic approach to classification of bacterial genomes. - Zeev Volkovich; Valery M. Kirzhner; Zeev Barzily; Sergey Hosid; Katerina Korenblat (Pattern Recognit., 2010)

Genome Clustering - From Linguistic Models to Classification of Genetic Texts - Alexander Bolshoy; Zeev Volkovich; Valery M. Kirzhner; Zeev Barzily (Springer, 2010)

Necessary conditions for the confidence level of the randomized algorithm of finding the true number of clusters. - Oleg N. Granichin; Mikhail Morozkov; Zeev Volkovich (ISIC, 2011)

Resampling approach for cluster model selection. - Zeev Volkovich; Zeev Barzily; Gerhard-Wilhelm Weber; Dvora Toledano-Kitai; Renata Avros (Mach. Learn., 2011)

An Approach to Model Selection in Spectral Clustering with Application to the Writing Style Determination Problem. - Renata Avros; Avi Soffer; Zeev Volkovich; Orly Yahalom (IC3K, 2012)

Model Selection and Stability in Spectral Clustering . - Zeev Volkovich; Renata Avros (KDIR, 2012)

Robust classifying of prokaryotic genomes. - Katerina Korenblat; Zeev Volkovich; Alexander Bolshoy (Comput. Biol. Chem., 2012)

An application of the minimal spanning tree approach to the cluster stability problem. - Zeev Volkovich; Zeev Barzily; Gerhard-Wilhelm Weber; Dvora Toledano-Kitai; Renata Avros (Central Eur. J. Oper. Res., 2012)

Trade-Offs in Social and Behavioral Modeling in Mobile Networks. - Yaniv Altshuler; Michael Fire; Nadav Aharony; Zeev Volkovich; Yuval Elovici; Alex Pentland (SBP, 2013)

A Systematic Approach to Computations on Decomposable Graphs. - Elena V. Ravve; Zeev Volkovich (SYNASC, 2013)

Self-learning K-means clustering: a global optimization approach. - Zeev Volkovich; Dvora Toledano-Kitai; Gerhard-Wilhelm Weber (J. Glob. Optim., 2013)

A binomial noised model for cluster validation. - Dvora Toledano-Kitai; Renata Avros; Zeev Volkovich; Gerhard-Wilhelm Weber; Orly Yahalom (J. Intell. Fuzzy Syst., 2013)

Stochastic Model for Medical Image Segmentation. - Zeev Barzily; Mingyue Ding; Zeev Volkovich (ARES, 2014)

Detecting Non-Uniform Clusters in Large-Scale Interaction Graphs. - Nissan Levtov; Sandeep Amberkar; Zakharia M. Frenkel; Lars Kaderali; Zeev Volkovich (J. Comput. Biol., 2014)

A Uniform Approach to Incremental Automated Reasoning on Strongly Distributed Structures. - Elena V. Ravve; Zeev Volkovich; Gerhard-Wilhelm Weber (GCAI, 2015)

An Iterative Projective Clustering Method. - Renata Avros; Zakharia M. Frenkel; Dvora Toledano-Kitai; Zeev Volkovich (KES, 2015)

Automatic Definition of Optimal Default Parameters of Models: Image Matting Application. - Elena V. Ravve; Zeev Volkovich; Gerhard-Wilhelm Weber (SYNASC, 2015)

Incremental Reasoning on Strongly Distributed Multi-agent Systems. - Elena V. Ravve; Zeev Volkovich; Gerhard-Wilhelm Weber (SYNASC, 2015)

Randomized Algorithms in Automatic Control and Data Mining - Oleg N. Granichin; Zeev Volkovich; Dvora Toledano-Kitai (Springer, 2015)

Text Classification Using a Novel Time Series based Methodology. - Zeev Volkovich; Renata Avros (KES, 2016)

A Time Series Model of the Writing Process. - Zeev Volkovich (MLDM, 2016)

An estimate of the objective function optimum for the network Steiner problem. - Valery M. Kirzhner; Zeev Volkovich; Elena V. Ravve; Gerhard-Wilhelm Weber (Ann. Oper. Res., 2016)

Literary writing style recognition via a minimal spanning tree-based approach. - Dmitry S. Shalymov; Oleg N. Granichin; Lev Klebanov; Zeev Volkovich (Expert Syst. Appl., 2016)

Modeling and visualization of media in Arabic. - Zeev Volkovich; Oleg N. Granichin; Oleg Redkin; Olga Bernikova (J. Informetrics, 2016)

Spectral profiling of writing process. - Natalia Kizhaeva; Zeev Volkovich; Oleg N. Granichin; Olga Granichina; Vladimir Kiyaev (CCTA, 2017)

Boosted decision trees for behaviour mining of concurrent programmes. - Renata Avros; V. Dudka; Bohuslav Krena; Zdenek Letko; Hana Pluhácková; Shmuel Ur; Tomás Vojnar; Zeev Volkovich (Concurr. Comput. Pract. Exp., 2017)

Entropy "2"-Soft Classification of Objects. - Yuri S. Popkov; Zeev Volkovich; Yu. A. Dubnov; Renata Avros; Elena V. Ravve (Entropy, 2017)

Detection of Computer-Generated Papers Using One-Class SVM and Cluster Approaches. - Renata Avros; Zeev Volkovich (MLDM (2), 2018)

Patterning of writing style evolution by means of dynamic similarity. - Konstantin S. Amelin; Oleg N. Granichin; Natalia Kizhaeva; Zeev Volkovich (Pattern Recognit., 2018)

A "Sentimental Analysis" of Computer-Generated Papers. - Dan Lemberg; Zeev Volkovich (MLDM (2), 2019)

Multi-agent control of airplane wing stability under the flexural torsion flutter. - Dmitry S. Shalymov; Oleg N. Granichin; Zeev Volkovich; Gerhard-Wilhelm Weber (CoRR, 2020)

Entropy-Based Approach for the Detection of Changes in Arabic Newspapers' Content. - Olga Bernikova; Oleg N. Granichin; Dan Lemberg; Oleg Redkin; Zeev Volkovich (Entropy, 2020)

Deep Sentimental Analysis of the Arabic Medieval Documents. - Renata Avros; Zeev Volkovich (KES, 2022)

An Approach to Predicting Social Events via Dailies Tracking. - Renata Avros; Dan Lemberg; Elena V. Ravve; Zeev Volkovich (IWANN (2), 2023)

Study on Semantic Inpainting Deep Learning Models for Artefacts with Traditional Motifs. - Catalin Stoean; Nebojsa Bacanin; Zeev Volkovich; Leonard Ionescu; Ruxandra Stoean (IWANN (2), 2023)

COVID-19 genomes classification using the Deep Impostors approach. - Renata Avros; Kfir Avioz; On Avioz; Zeev Volkovich (KES, 2023)

Detecting Manipulated Citations through Disturbed Node2Vec Embedding. - Renata Avros; Saar Keshet; Dvora Toledano-Kitai; Evgeny Vexler; Zeev Volkovich (SYNASC, 2023)

Exploring Compressed Sensing for Proficient Cryptocurrency Mining. - Renata Avros; Uri Kesselman; Zeev Volkovich (KES, 2024)

Indoor Navigation in Facilities with Repetitive Structures. - Zeev Volkovich; Elena V. Ravve; Renata Avros (Sensors, 2024)

Comprehension of the Shakespeare authorship question through deep impostors approach. - Zeev Volkovich; Renata Avros (Digit. Scholarsh. Humanit., 2025)