Leonid Zhukov

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 17

Top Topics

Chemical Process

Computationally Feasible

Machine Learning

Top Venues

IEEE J. Sel. Top. Signal Process.

NAACL-HLT (Findings)

Publications

Julien Delile, Srayanta Mukherjee, Anton Van Pamel, Leonid Zhukov
Graph-Based Retriever Captures the Long Tail of Biomedical Knowledge. CoRR (2024)
Maksim Golyadkin, Vitaliy Pozdnyakov, Leonid Zhukov, Ilya Makarov
SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes. Artif. Intell. 324 (2023)
Maksim Golyadkin, Vitaliy Pozdnyakov, Leonid Zhukov, Ilya Makarov
SensorSCAN: Self-Supervised Learning and Deep Clustering for Fault Diagnosis in Chemical Processes. CoRR (2022)
Akim Tsvigun, Artem Shelmanov, Gleb Kuzmin, Leonid Sanochkin, Daniil Larionov, Gleb Gusev, Manvel Avetisian, Leonid Zhukov
Towards Computationally Feasible Deep Active Learning. NAACL-HLT (Findings) (2022)
Akim Tsvigun, Artem Shelmanov, Gleb Kuzmin, Leonid Sanochkin, Daniil Larionov, Gleb Gusev, Manvel Avetisian, Leonid Zhukov
Towards Computationally Feasible Deep Active Learning. CoRR (2022)
Alexander Ponomarchuk, Ilya Burenko, Elian Malkin, Ivan Nazarov, Vladimir Kokh, Manvel Avetisian, Leonid Zhukov
Project Achoo: A Practical Model and Application for COVID-19 Detection From Recordings of Breath, Voice, and Cough. IEEE J. Sel. Top. Signal Process. 16 (2) (2022)
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
Eco2AI: carbon emissions tracking of machine learning models as the first step towards sustainable AI. CoRR (2022)
Artem Vazhentsev, Gleb Kuzmin, Artem Shelmanov, Akim Tsvigun, Evgenii Tsymbalov, Kirill Fedyanin, Maxim Panov, Alexander Panchenko, Gleb Gusev, Mikhail Burtsev, Manvel Avetisian, Leonid Zhukov
Uncertainty Estimation of Transformer Predictions for Misclassification Detection. ACL (1) (2022)
Semen A. Budennyy, Alexey Kazakov, Elizaveta Kovtun, Leonid Zhukov
New drugs and stock market: how to predict pharma market reaction to clinical trial announcements. CoRR (2022)
Alexey N. Korovin, Artem I. Vasilyev, Fedor Egorov, Dmitry Saykin, Evgeny Terukov, Igor Shakhray, Leonid Zhukov, Semen A. Budennyy
Anomaly segmentation model for defects detection in electroluminescence images of heterojunction solar cells. CoRR (2022)
Mikhail E. Belkin, Leonid Zhukov, Alexander S. Sigov
Advanced service data provisioning in ROF-based mobile backhauls/fronthauls. CoRR (2022)
Alexander Ponomarchuk, Ilya Burenko, Elian Malkin, Ivan Nazarov, Vladimir Kokh, Manvel Avetisian, Leonid Zhukov
Project Achoo: A Practical Model and Application for COVID-19 Detection from Recordings of Breath, Voice, and Cough. CoRR (2021)
Anvar Kurmukov, Marina Ananyeva, Yulia Dodonova, Boris Gutman, Joshua Faskowitz, Neda Jahanshad, Paul M. Thompson, Leonid Zhukov
Classifying Phenotypes Based on the Community Structure of Human Brain Networks. GRAIL/MFCA/MICGen@MICCAI (2017)
Yulia Dodonova, Sergey Korolev, Anna Tkachev, Dmitry Petrov, Leonid Zhukov, Mikhail Belyaev
Classification of structural brain networks based on information divergence of graph spectra. MLSP (2016)
Anvar Kurmukov, Yulia Dodonova, Leonid Zhukov
Classification of Normal and Pathological Brain Networks Based on Similarity in Graph Partitions. ICDM Workshops (2016)
Yulia Dodonova, Mikhail Belyaev, Anna Tkachev, Dmitry Petrov, Leonid Zhukov
Kernel classification of connectomes based on earth mover's distance between graph spectra. CoRR (2016)
Dmitry Petrov, Yulia Dodonova, Leonid Zhukov, Mikhail Belyaev
Boosting connectome classification via combination of geometric and topological normalizations. PRNI (2016)
Jeffrey Sukharev, Leonid Zhukov, Alexandrin Popescul
Parallel Corpus Approach for Name Matching in Record Linkage. ICDM (2014)
Jeffrey Sukharev, Leonid Zhukov, Alexandrin Popescul
Learning Alternative Name Spellings. CoRR (2014)
Robert Van Uitert, Chris R. Johnson, Leonid Zhukov
Influence of head tissue conductivity in forward and inverse magnetoencephalographic Simulations using realistic head models. IEEE Trans. Biomed. Eng. 51 (12) (2004)
David F. Gleich, Leonid Zhukov
SVD based Term Suggestion and Ranking System. ICDM (2004)
Leonid Zhukov, Ken Museth, David E. Breen, Alan H. Barr, Ross T. Whitaker
Level set modeling and segmentation of diffusion tensor magnetic resonance imaging brain data. J. Electronic Imaging 12 (1) (2003)
Leonid Zhukov, Alan H. Barr
Heart-Muscle Fiber Reconstruction from Diffusion Tensor MRI. IEEE Visualization (2003)
Igor Guskov, Leonid Zhukov
Direct Pattern Tracking On Flexible Geometry. WSCG (2002)
Ken Museth, David E. Breen, Leonid Zhukov, Ross T. Whitaker
Level-Set Segmentation From Multiple Non-Uniform Volume Datasets. IEEE Visualization (2002)
Leonid Zhukov, Zhaosheng Bao, Igor Guskov, John Wood, David E. Breen
Dynamic deformable models for 3D MRI heart segmentation. Medical Imaging: Image Processing (2002)
Leonid Zhukov, Alan H. Barr
Oriented Tensor Reconstruction: Tracing Neural Pathways from Diffusion Tensor MRI. IEEE Visualization (2002)
Leonid Zhukov, Ken Museth, David E. Breen, Ross T. Whitaker
3D modeling and segmentation of diffusion weighted MRI data. Medical Imaging: Image-Guided Procedures (2001)