Leonid Zhukov

Orcid: 0000-0003-2604-1057

According to our database1, Leonid Zhukov authored at least 35 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Graph-Based Retriever Captures the Long Tail of Biomedical Knowledge.
CoRR, 2024

2023
SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes.
Artif. Intell., November, 2023

2022
Project Achoo: A Practical Model and Application for COVID-19 Detection From Recordings of Breath, Voice, and Cough.
IEEE J. Sel. Top. Signal Process., 2022

New drugs and stock market: how to predict pharma market reaction to clinical trial announcements.
CoRR, 2022

Anomaly segmentation model for defects detection in electroluminescence images of heterojunction solar cells.
CoRR, 2022

Eco2AI: carbon emissions tracking of machine learning models as the first step towards sustainable AI.
CoRR, 2022

Advanced service data provisioning in ROF-based mobile backhauls/fronthauls.
CoRR, 2022

Towards Computationally Feasible Deep Active Learning.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Uncertainty Estimation of Transformer Predictions for Misclassification Detection.
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.
J. Ind. Inf. Integr., 2021

2019
Dual network embedding for representing research interests in the link prediction problem on co-authorship networks.
PeerJ Comput. Sci., 2019

2018
Recommending Co-authorship via Network Embeddings and Feature Engineering: The case of National Research University Higher School of Economics.
Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, 2018

Co-authorship Network Embedding and Recommending Collaborators via Network Embedding.
Proceedings of the Analysis of Images, Social Networks and Texts, 2018

Joint Node-Edge Network Embedding for Link Prediction.
Proceedings of the Analysis of Images, Social Networks and Texts, 2018

2017
Classifying Phenotypes Based on the Community Structure of Human Brain Networks.
Proceedings of the Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, 2017

Scientific Matchmaker: Collaborator Recommender System.
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.
CoRR, 2016

Boosting connectome classification via combination of geometric and topological normalizations.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016

Classification of structural brain networks based on information divergence of graph spectra.
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.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2014
Learning Alternative Name Spellings.
CoRR, 2014

Parallel Corpus Approach for Name Matching in Record Linkage.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013
Can triconcepts become triclusters?
Int. J. Gen. Syst., 2013

2011
From Triconcepts to Triclusters.
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.
Proceedings of the Visualization Handbook., 2005

2004
Influence of head tissue conductivity in forward and inverse magnetoencephalographic Simulations using realistic head models.
IEEE Trans. Biomed. Eng., 2004

SVD based Term Suggestion and Ranking System.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Methods for MiningWeb Communities: Bibliometric, Spectral, and Flow.
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.
J. Electronic Imaging, 2003

Heart-Muscle Fiber Reconstruction from Diffusion Tensor MRI.
Proceedings of the 14th IEEE Visualization Conference, 2003

2002
Direct Pattern Tracking On Flexible Geometry.
Proceedings of the 10-th International Conference in Central Europe on Computer Graphics, 2002

Oriented Tensor Reconstruction: Tracing Neural Pathways from Diffusion Tensor MRI.
Proceedings of the 13th IEEE Visualization Conference, 2002

Level-Set Segmentation From Multiple Non-Uniform Volume Datasets.
Proceedings of the 13th IEEE Visualization Conference, 2002

Dynamic deformable models for 3D MRI heart segmentation.
Proceedings of the Medical Imaging 2002: Image Processing, 2002

2001
3D modeling and segmentation of diffusion weighted MRI data.
Proceedings of the Medical Imaging 2001: Visualization, 2001


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