Leonid Zhukov

According to our database, Leonid Zhukov authored at least 35 papers between 2001 and 2024.

Collaborative distances:

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

2024

Graph-Based Retriever Captures the Long Tail of Biomedical Knowledge.

Julien Delile, Srayanta Mukherjee, Anton Van Pamel, Leonid Zhukov

CoRR, 2024

2023

SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes.

Maksim Golyadkin, Vitaliy Pozdnyakov, Leonid Zhukov, Ilya Makarov

Artif. Intell., November, 2023

2022

Project Achoo: A Practical Model and Application for COVID-19 Detection From Recordings of Breath, Voice, and Cough.

Alexander Ponomarchuk, Ilya Burenko, Elian Malkin, Ivan Nazarov, Vladimir Kokh, Manvel Avetisian, Leonid Zhukov

IEEE J. Sel. Top. Signal Process., 2022

New drugs and stock market: how to predict pharma market reaction to clinical trial announcements.

Semen A. Budennyy, Alexey Kazakov, Elizaveta Kovtun, Leonid Zhukov

CoRR, 2022

Anomaly segmentation model for defects detection in electroluminescence images of heterojunction solar cells.

Alexey N. Korovin, Artem I. Vasilyev, Fedor Egorov, Dmitry Saykin, Evgeny Terukov, Igor Shakhray, Leonid Zhukov, Semen A. Budennyy

CoRR, 2022

Eco2AI: carbon emissions tracking of machine learning models as the first step towards sustainable AI.

Semen A. Budennyy, Vladimir D. Lazarev, Nikita Zakharenko, Alexey N. Korovin, Olga Plosskaya, Denis Dimitrov, Vladimir Arkhipkin, Ivan V. Oseledets, Ivan Barsola, Ilya Egorov, Aleksandra Kosterina, Leonid Zhukov

CoRR, 2022

Advanced service data provisioning in ROF-based mobile backhauls/fronthauls.

Mikhail E. Belkin, Leonid Zhukov, Alexander S. Sigov

CoRR, 2022

Towards Computationally Feasible Deep Active Learning.

Akim Tsvigun, Artem Shelmanov, Gleb Kuzmin, Leonid Sanochkin, Daniil Larionov, Gleb Gusev, Manvel Avetisian, Leonid Zhukov

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Uncertainty Estimation of Transformer Predictions for Misclassification Detection.

Artem Vazhentsev, Gleb Kuzmin, Artem Shelmanov, Akim Tsvigun, Evgenii Tsymbalov, Kirill Fedyanin, Maxim Panov, Alexander Panchenko, Gleb Gusev, Mikhail Burtsev, Manvel Avetisian, Leonid Zhukov

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Fault detection in Tennessee Eastman process with temporal deep learning models.

Ildar Lomov, Mark Lyubimov, Ilya Makarov, Leonid E. Zhukov

J. Ind. Inf. Integr., 2021

2019

Dual network embedding for representing research interests in the link prediction problem on co-authorship networks.

Ilya Makarov, Olga Gerasimova, Pavel Sulimov, Leonid E. Zhukov

PeerJ Comput. Sci., 2019

2018

Recommending Co-authorship via Network Embeddings and Feature Engineering: The case of National Research University Higher School of Economics.

Ilya Makarov, Olga Gerasimova, Pavel Sulimov, Leonid E. Zhukov

Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, 2018

Co-authorship Network Embedding and Recommending Collaborators via Network Embedding.

Ilya Makarov, Olga Gerasimova, Pavel Sulimov, Leonid E. Zhukov

Proceedings of the Analysis of Images, Social Networks and Texts, 2018

Joint Node-Edge Network Embedding for Link Prediction.

Ilya Makarov, Olga Gerasimova, Pavel Sulimov, Ksenia Korovina, Leonid E. Zhukov

Proceedings of the Analysis of Images, Social Networks and Texts, 2018

2017

Classifying Phenotypes Based on the Community Structure of Human Brain Networks.

Anvar Kurmukov, Marina Ananyeva, Yulia Dodonova, Boris Gutman, Joshua Faskowitz, Neda Jahanshad, Paul M. Thompson, Leonid Zhukov

Proceedings of the Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, 2017

Scientific Matchmaker: Collaborator Recommender System.

Ilya Makarov, Oleg Bulanov, Olga Gerasimova, Natalia Meshcheryakova, Ilia Karpov, Leonid E. Zhukov

Proceedings of the Analysis of Images, Social Networks and Texts, 2017

2016

Kernel classification of connectomes based on earth mover's distance between graph spectra.

Yulia Dodonova, Mikhail Belyaev, Anna Tkachev, Dmitry Petrov, Leonid Zhukov

CoRR, 2016

Boosting connectome classification via combination of geometric and topological normalizations.

Dmitry Petrov, Yulia Dodonova, Leonid Zhukov, Mikhail Belyaev

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016

Classification of structural brain networks based on information divergence of graph spectra.

Yulia Dodonova, Sergey Korolev, Anna Tkachev, Dmitry Petrov, Leonid Zhukov, Mikhail Belyaev

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Classification of Normal and Pathological Brain Networks Based on Similarity in Graph Partitions.

Anvar Kurmukov, Yulia Dodonova, Leonid Zhukov

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2014

Learning Alternative Name Spellings.

Jeffrey Sukharev, Leonid Zhukov, Alexandrin Popescul

CoRR, 2014

Parallel Corpus Approach for Name Matching in Record Linkage.

Jeffrey Sukharev, Leonid Zhukov, Alexandrin Popescul

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013

Can triconcepts become triclusters?

Dmitry I. Ignatov, Sergei O. Kuznetsov, Jonas Poelmans, Leonid E. Zhukov

Int. J. Gen. Syst., 2013

2011

From Triconcepts to Triclusters.

Dmitry I. Ignatov, Sergei O. Kuznetsov, Ruslan A. Magizov, Leonid E. Zhukov

Proceedings of the Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 2011

2005

Oriented Tensor Reconstruction Portions reprinted, with permission, from Zhukov and Barr [26]. Copyright © 2002, IEEE.

Leonid Zhukov, Alan H. Barr

Proceedings of the Visualization Handbook., 2005

2004

Influence of head tissue conductivity in forward and inverse magnetoencephalographic Simulations using realistic head models.

Robert Van Uitert, Chris R. Johnson, Leonid Zhukov

IEEE Trans. Biomed. Eng., 2004

SVD based Term Suggestion and Ranking System.

David F. Gleich, Leonid Zhukov

Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Methods for MiningWeb Communities: Bibliometric, Spectral, and Flow.

Gary William Flake, Kostas Tsioutsiouliklis, Leonid Zhukov

Proceedings of the Web Dynamics - Adapting to Change in Content, Size, Topology and Use, 2004

2003

Level set modeling and segmentation of diffusion tensor magnetic resonance imaging brain data.

Leonid Zhukov, Ken Museth, David E. Breen, Alan H. Barr, Ross T. Whitaker

J. Electronic Imaging, 2003

Heart-Muscle Fiber Reconstruction from Diffusion Tensor MRI.

Leonid Zhukov, Alan H. Barr

Proceedings of the 14th IEEE Visualization Conference, 2003

2002

Direct Pattern Tracking On Flexible Geometry.

Igor Guskov, Leonid Zhukov

Proceedings of the 10-th International Conference in Central Europe on Computer Graphics, 2002

Oriented Tensor Reconstruction: Tracing Neural Pathways from Diffusion Tensor MRI.

Leonid Zhukov, Alan H. Barr

Proceedings of the 13th IEEE Visualization Conference, 2002

Level-Set Segmentation From Multiple Non-Uniform Volume Datasets.

Ken Museth, David E. Breen, Leonid Zhukov, Ross T. Whitaker

Proceedings of the 13th IEEE Visualization Conference, 2002

Dynamic deformable models for 3D MRI heart segmentation.

Leonid Zhukov, Zhaosheng Bao, Igor Guskov, John Wood, David E. Breen

Proceedings of the Medical Imaging 2002: Image Processing, 2002

2001

3D modeling and segmentation of diffusion weighted MRI data.

Leonid Zhukov, Ken Museth, David E. Breen, Ross T. Whitaker

Proceedings of the Medical Imaging 2001: Visualization, 2001