Leonid Zhukov - RankMe

36 papers A* 4A 3B 1Misc 1Journal 18Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AI-Guided Discovery of Novel Ionic Liquid Solvents for Industrial CO2 Capture. CoRR Davide Garbelotto, Alexander Lobo, Urvi Awasthi, Oleg N. Medvedev, Srayanta Mukherjee, Anton Aristov, Konstantin Polunin, Alex De Mur, Leonid Zhukov, Azad Huseynov, Murad Abdullayev
2026	J	`jnl`	Hierarchy-Guided Topology Latent Flow for Molecular Graph Generation. CoRR Urvi Awasthi, Alexander Lobo, Leonid Zhukov
2026	J	`jnl`	Property-Guided Molecular Generation and Optimization via Latent Flows. CoRR Alexander Lobo, Urvi Awasthi, Leonid Zhukov
2025	J	`jnl`	TEDDY: A Family Of Foundation Models For Understanding Single Cell Biology. CoRR Alexis Chevalier, Soumya Ghosh, Urvi Awasthi, James Watkins, Julia Bieniewska, Nichita Mitrea, Olga Kotova, Kirill Shkura, Andrew Noble, Michael Steinbaugh, Julien Delile, Christoph Meier, Leonid Zhukov, Iya Khalil, Srayanta Mukherjee, Judith Mueller
2024	J	`jnl`	Graph-Based Retriever Captures the Long Tail of Biomedical Knowledge. CoRR Julien Delile, Srayanta Mukherjee, Anton Van Pamel, Leonid Zhukov
2024	A*	`conf`	Plug-and-Play Unsupervised Fault Detection and Diagnosis for Complex Industrial Monitoring. IJCAI Maksim Golyadkin, Maria Shtark, Petr Ivanov, Alexander Kozhevnikov, Leonid Zhukov, Ilya Makarov
2024	A*	`conf`	SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes (Abstract Reprint). IJCAI Maksim Golyadkin, Vitaliy Pozdnyakov, Leonid Zhukov, Ilya Makarov
2023	J	`jnl`	SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes. Artif. Intell. Maksim Golyadkin, Vitaliy Pozdnyakov, Leonid Zhukov, Ilya Makarov
2022	J	`jnl`	Advanced service data provisioning in ROF-based mobile backhauls/fronthauls. CoRR Mikhail E. Belkin, Leonid Zhukov, Alexander S. Sigov
2022	J	`jnl`	Anomaly segmentation model for defects detection in electroluminescence images of heterojunction solar cells. CoRR Alexey N. Korovin, Artem I. Vasilyev, Fedor Egorov, Dmitry Saykin, Evgeny Terukov, Igor Shakhray, Leonid Zhukov, Semen A. Budennyy
2022	J	`jnl`	Eco2AI: carbon emissions tracking of machine learning models as the first step towards sustainable AI. CoRR 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
2022	J	`jnl`	New drugs and stock market: how to predict pharma market reaction to clinical trial announcements. CoRR Semen A. Budennyy, Alexey Kazakov, Elizaveta Kovtun, Leonid Zhukov
2022	J	`jnl`	Project Achoo: A Practical Model and Application for COVID-19 Detection From Recordings of Breath, Voice, and Cough. IEEE J. Sel. Top. Signal Process. Alexander Ponomarchuk, Ilya Burenko, Elian Malkin, Ivan Nazarov, Vladimir Kokh, Manvel Avetisian, Leonid Zhukov
2022	J	`jnl`	SensorSCAN: Self-Supervised Learning and Deep Clustering for Fault Diagnosis in Chemical Processes. CoRR Maksim Golyadkin, Vitaliy Pozdnyakov, Leonid Zhukov, Ilya Makarov
2022	—	`conf`	Towards Computationally Feasible Deep Active Learning. NAACL-HLT (Findings) Akim Tsvigun, Artem Shelmanov, Gleb Kuzmin, Leonid Sanochkin, Daniil Larionov, Gleb Gusev, Manvel Avetisian, Leonid Zhukov
2022	J	`jnl`	Towards Computationally Feasible Deep Active Learning. CoRR Akim Tsvigun, Artem Shelmanov, Gleb Kuzmin, Leonid Sanochkin, Daniil Larionov, Gleb Gusev, Manvel Avetisian, Leonid Zhukov
2022	—	`conf`	Uncertainty Estimation of Transformer Predictions for Misclassification Detection. ACL (1) Artem Vazhentsev, Gleb Kuzmin, Artem Shelmanov, Akim Tsvigun, Evgenii Tsymbalov, Kirill Fedyanin, Maxim Panov, Alexander Panchenko, Gleb Gusev, Mikhail Burtsev, Manvel Avetisian, Leonid Zhukov
2021	J	`jnl`	Project Achoo: A Practical Model and Application for COVID-19 Detection from Recordings of Breath, Voice, and Cough. CoRR Alexander Ponomarchuk, Ilya Burenko, Elian Malkin, Ivan Nazarov, Vladimir Kokh, Manvel Avetisian, Leonid Zhukov
2017	—	`conf`	Classifying Phenotypes Based on the Community Structure of Human Brain Networks. GRAIL/MFCA/MICGen@MICCAI Anvar Kurmukov, Marina Ananyeva, Yulia Dodonova, Boris Gutman, Joshua Faskowitz, Neda Jahanshad, Paul M. Thompson, Leonid Zhukov
2016	—	`conf`	Boosting connectome classification via combination of geometric and topological normalizations. PRNI Dmitry Petrov, Yulia Dodonova, Leonid Zhukov, Mikhail Belyaev
2016	—	`conf`	Classification of Normal and Pathological Brain Networks Based on Similarity in Graph Partitions. ICDM Workshops Anvar Kurmukov, Yulia Dodonova, Leonid Zhukov
2016	—	`conf`	Classification of structural brain networks based on information divergence of graph spectra. MLSP Yulia Dodonova, Sergey Korolev, Anna Tkachev, Dmitry Petrov, Leonid Zhukov, Mikhail Belyaev
2016	J	`jnl`	Kernel classification of connectomes based on earth mover's distance between graph spectra. CoRR Yulia Dodonova, Mikhail Belyaev, Anna Tkachev, Dmitry Petrov, Leonid Zhukov
2014	J	`jnl`	Learning Alternative Name Spellings. CoRR Jeffrey Sukharev, Leonid Zhukov, Alexandrin Popescul
2014	A*	`conf`	Parallel Corpus Approach for Name Matching in Record Linkage. ICDM Jeffrey Sukharev, Leonid Zhukov, Alexandrin Popescul
2005	—	`ch.`	Oriented Tensor Reconstruction Portions reprinted, with permission, from Zhukov and Barr [26]. Copyright © 2002, IEEE. The Visualization Handbook Leonid Zhukov, Alan H. Barr
2004	J	`jnl`	Influence of head tissue conductivity in forward and inverse magnetoencephalographic Simulations using realistic head models. IEEE Trans. Biomed. Eng. Robert Van Uitert, Chris R. Johnson, Leonid Zhukov
2004	—	`ch.`	Methods for MiningWeb Communities: Bibliometric, Spectral, and Flow. Web Dynamics Gary William Flake, Kostas Tsioutsiouliklis, Leonid Zhukov
2004	A*	`conf`	SVD based Term Suggestion and Ranking System. ICDM David F. Gleich, Leonid Zhukov
2003	A	`conf`	Heart-Muscle Fiber Reconstruction from Diffusion Tensor MRI. IEEE Visualization Leonid Zhukov, Alan H. Barr
2003	J	`jnl`	Level set modeling and segmentation of diffusion tensor magnetic resonance imaging brain data. J. Electronic Imaging Leonid Zhukov, Ken Museth, David E. Breen, Alan H. Barr, Ross T. Whitaker
2002	Misc	`conf`	Direct Pattern Tracking On Flexible Geometry. WSCG Igor Guskov, Leonid Zhukov
2002	B	`conf`	Dynamic deformable models for 3D MRI heart segmentation. Image Processing Leonid Zhukov, Zhaosheng Bao, Igor Guskov, John Wood, David E. Breen
2002	A	`conf`	Level-Set Segmentation From Multiple Non-Uniform Volume Datasets. IEEE Visualization Ken Museth, David E. Breen, Leonid Zhukov, Ross T. Whitaker
2002	A	`conf`	Oriented Tensor Reconstruction: Tracing Neural Pathways from Diffusion Tensor MRI. IEEE Visualization Leonid Zhukov, Alan H. Barr
2001	—	`conf`	3D modeling and segmentation of diffusion weighted MRI data. Image-Guided Procedures Leonid Zhukov, Ken Museth, David E. Breen, Ross T. Whitaker