Zeev Volkovich

According to our database, Zeev Volkovich authored at least 46 papers between 2003 and 2023.

Collaborative distances:

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

2023

COVID-19 genomes classification using the Deep Impostors approach.

Renata Avros, Kfir Avioz, On Avioz, Zeev Volkovich

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Study on Semantic Inpainting Deep Learning Models for Artefacts with Traditional Motifs.

Catalin Stoean, Nebojsa Bacanin, Zeev Volkovich, Leonard Ionescu, Ruxandra Stoean

Proceedings of the Advances in Computational Intelligence, 2023

An Approach to Predicting Social Events via Dailies Tracking.

Renata Avros, Dan Lemberg, Elena V. Ravve, Zeev Volkovich

Proceedings of the Advances in Computational Intelligence, 2023

2022

Deep Sentimental Analysis of the Arabic Medieval Documents.

Renata Avros, Zeev Volkovich

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

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

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

2019

A "Sentimental Analysis" of Computer-Generated Papers.

Dan Lemberg, Zeev Volkovich

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2019

2018

Patterning of writing style evolution by means of dynamic similarity.

Konstantin S. Amelin, Oleg N. Granichin, Natalia Kizhaeva, Zeev Volkovich

Pattern Recognit., 2018

Detection of Computer-Generated Papers Using One-Class SVM and Cluster Approaches.

Renata Avros, Zeev Volkovich

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018

2017

Entropy "2"-Soft Classification of Objects.

Yuri S. Popkov, Zeev Volkovich, Yu. A. Dubnov, Renata Avros, Elena V. Ravve

Entropy, 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

Spectral profiling of writing process.

Natalia Kizhaeva, Zeev Volkovich, Oleg N. Granichin, Olga Granichina, Vladimir Kiyaev

Proceedings of the IEEE Conference on Control Technology and Applications, 2017

2016

Modeling and visualization of media in Arabic.

Zeev Volkovich, Oleg N. Granichin, Oleg Redkin, Olga Bernikova

J. Informetrics, 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

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

A Time Series Model of the Writing Process.

Zeev Volkovich

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016

Text Classification Using a Novel Time Series based Methodology.

Zeev Volkovich, Renata Avros

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 20th International Conference KES-2016, 2016

2015

Randomized Algorithms in Automatic Control and Data Mining

Oleg N. Granichin, Zeev Volkovich, Dvora Toledano-Kitai

Intelligent Systems Reference Library 67, Springer, ISBN: 978-3-642-54786-7, 2015

Incremental Reasoning on Strongly Distributed Multi-agent Systems.

Elena V. Ravve, Zeev Volkovich, Gerhard-Wilhelm Weber

Proceedings of the 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2015

Automatic Definition of Optimal Default Parameters of Models: Image Matting Application.

Elena V. Ravve, Zeev Volkovich, Gerhard-Wilhelm Weber

Proceedings of the 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2015

An Iterative Projective Clustering Method.

Renata Avros, Zakharia M. Frenkel, Dvora Toledano-Kitai, Zeev Volkovich

Proceedings of the 19th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2015

A Uniform Approach to Incremental Automated Reasoning on Strongly Distributed Structures.

Elena V. Ravve, Zeev Volkovich, Gerhard-Wilhelm Weber

Proceedings of the Global Conference on Artificial Intelligence, 2015

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

Stochastic Model for Medical Image Segmentation.

Zeev Barzily, Mingyue Ding, Zeev Volkovich

Proceedings of the Ninth International Conference on Availability, 2014

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

Self-learning K-means clustering: a global optimization approach.

Zeev Volkovich, Dvora Toledano-Kitai, Gerhard-Wilhelm Weber

J. Glob. Optim., 2013

A Systematic Approach to Computations on Decomposable Graphs.

Elena V. Ravve, Zeev Volkovich

Proceedings of the 15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2013

Trade-Offs in Social and Behavioral Modeling in Mobile Networks.

Yaniv Altshuler, Michael Fire, Nadav Aharony, Zeev Volkovich, Yuval Elovici, Alex Pentland

Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2013

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

Robust classifying of prokaryotic genomes.

Katerina Korenblat, Zeev Volkovich, Alexander Bolshoy

Comput. Biol. Chem., 2012

Model Selection and Stability in Spectral Clustering .

Zeev Volkovich, Renata Avros

Proceedings of the KDIR 2012 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Barcelona, Spain, 4, 2012

An Approach to Model Selection in Spectral Clustering with Application to the Writing Style Determination Problem.

Renata Avros, Avi Soffer, Zeev Volkovich, Orly Yahalom

Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2012

2011

Resampling approach for cluster model selection.

Zeev Volkovich, Zeev Barzily, Gerhard-Wilhelm Weber, Dvora Toledano-Kitai, Renata Avros

Mach. Learn., 2011

Necessary conditions for the confidence level of the randomized algorithm of finding the true number of clusters.

Oleg N. Granichin, Mikhail Morozkov, Zeev Volkovich

Proceedings of the 2011 IEEE International Symposium on Intelligent Control, 2011

2010

Genome Clustering - From Linguistic Models to Classification of Genetic Texts

Alexander Bolshoy, Zeev Volkovich, Valery M. Kirzhner, Zeev Barzily

Studies in Computational Intelligence 286, Springer, ISBN: 978-3-642-12951-3, 2010

A linguistic approach to classification of bacterial genomes.

Zeev Volkovich, Valery M. Kirzhner, Zeev Barzily, Sergey Hosid, Katerina Korenblat

Pattern Recognit., 2010

2009

On a Minimal Spanning Tree Approach in the Cluster Validation Problem.

Zeev Barzily, Zeev Volkovich, Basak Akteke-Öztürk, Gerhard-Wilhelm Weber

Informatica, 2009

Prokaryote clustering based on DNA curvature distributions.

Limor Kozobay-Avraham, Sergey Hosid, Zeev Volkovich, Alexander Bolshoy

Discret. Appl. Math., 2009

Whole-genome prokaryotic clustering based on gene lengths.

Alexander Bolshoy, Zeev Volkovich

Discret. Appl. Math., 2009

2008

A statistical model of cluster stability.

Zeev Volkovich, Zeev Barzily, L. Morozensky

Pattern Recognit., 2008

2007

Building initial partitions through sampling techniques.

Vladimir Volkovich, Jacob Kogan, Charles K. Nicholas

Eur. J. Oper. Res., 2007

2006

A cluster stability criteria based on the two-sample test concept.

Zeev Volkovich, Zeev Barzily, L. Morozensky

Proceedings of the Advances in Web Intelligence and Data Mining, 2006

On prokaryotes' clustering based on curvature distribution.

Limor Kozobay-Avraham, Alexander Bolshoy, Zeev Volkovich

Proceedings of the Advances in Web Intelligence and Data Mining, 2006

Sampling Methods for Building Initial Partitions.

Zeev Volkovich, Jacob Kogan, Charles K. Nicholas

Proceedings of the Grouping Multidimensional Data - Recent Advances in Clustering, 2006

2005

The method of <i>N</i>-grams in large-scale clustering of DNA texts.

Zeev Volkovich, Valery M. Kirzhner, Alexander Bolshoy, Eviatar Nevo, Abraham B. Korol

Pattern Recognit., 2005

2003

Text mining with information-theoretic clustering.

Jacob Kogan, Charles K. Nicholas, Vladimir Volkovich

Comput. Sci. Eng., 2003