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ORCIDMaksim Kholiavchenko
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- affiliation: Rensselaer Polytechnic Institute, Troy, NY, USA
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2020 – today
- 2024
[j5]Ekaterina A. Nepovinnykh
, Ilja Chelak, Tuomas Eerola, Veikka Immonen, Heikki Kälviäinen, Maksim Kholiavchenko, Charles V. Stewart:
Species-Agnostic Patterned Animal Re-identification by Aggregating Deep Local Features. Int. J. Comput. Vis. 132(9): 4003-4018 (2024)- [c7]Maksim Kholiavchenko, Jenna Kline, Michelle Ramirez, Samuel Stevens, Alec Sheets, Reshma Ramesh Babu, Namrata Banerji, Elizabeth G. Campolongo, Matthew Thompson, Nina Van Tiel, Jackson Miliko, Eduardo Bessa, Isla Duporge, Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Charles V. Stewart:
KABR: In-Situ Dataset for Kenyan Animal Behavior Recognition from Drone Videos. WACV (Workshops) 2024: 31-40 - [i4]Isla Duporge, Maksim Kholiavchenko, Roi Harel, Scott Wolf, Daniel I. Rubenstein, Meg Crofoot, Tanya Y. Berger-Wolf, Stephen Lee, Julie Barreau, Jenna Kline, Michelle Ramirez, Charles V. Stewart:
BaboonLand Dataset: Tracking Primates in the Wild and Automating Behaviour Recognition from Drone Videos. CoRR abs/2405.17698 (2024) - [i3]Jenna Kline, Maksim Kholiavchenko, Otto Brookes, Tanya Y. Berger-Wolf, Charles V. Stewart, Christopher Stewart:
Integrating Biological Data into Autonomous Remote Sensing Systems for In Situ Imageomics: A Case Study for Kenyan Animal Behavior Sensing with Unmanned Aerial Vehicles (UAVs). CoRR abs/2407.16864 (2024) - 2023
- [c6]Jenna Kline, Christopher Stewart, Tanya Y. Berger-Wolf, Michelle Ramirez, Samuel Stevens, Reshma Ramesh Babu, Namrata Banerji, Alec Sheets, Sowbaranika Balasubramaniam, Elizabeth G. Campolongo, Matthew Thompson, Charles V. Stewart, Maksim Kholiavchenko, Daniel I. Rubenstein, Nina Van Tiel, Jackson Miliko:
A Framework for Autonomic Computing for In Situ Imageomics. ACSOS 2023: 11-16 - 2022
- [j4]Ilya Pershin, Maksim Kholiavchenko, Bulat Maksudov, Tamerlan Mustafaev, Dilyara Ibragimova, Bulat Ibragimov:
Artificial Intelligence for the Analysis of Workload-Related Changes in Radiologists' Gaze Patterns. IEEE J. Biomed. Health Informatics 26(9): 4541-4550 (2022) - [c5]Maksim Kholiavchenko, Ilya Pershin, Bulat Maksudov, Tamerlan Mustafaev, Yixuan Yuan, Bulat Ibragimov:
Gaze-based attention to improve the classification of lung diseases. Image Processing 2022 - [c4]Ilya Pershin, Maksim Kholiavchenko, Bulat Maksudov, Tamerlan Mustafaev, Bulat Ibragimov:
AI-based analysis of radiologist's eye movements for fatigue estimation: a pilot study on chest X-rays. Image Perception, Observer Performance, and Technology Assessment 2022 - 2021
- [j3]Alexey Tolkachev, Ilyas Sirazitdinov, Maksym Kholiavchenko, Tamerlan Mustafaev, Bulat Ibragimov:
Deep Learning for Diagnosis and Segmentation of Pneumothorax: The Results on the Kaggle Competition and Validation Against Radiologists. IEEE J. Biomed. Health Informatics 25(5): 1660-1672 (2021) - 2020
- [j2]Maksym Kholiavchenko, Ilyas Sirazitdinov, Konstantin Kubrak, R. Badrutdinova, Ramil Kuleev, Yixuan Yuan, Tomaz Vrtovec, Bulat Ibragimov:
Contour-aware multi-label chest X-ray organ segmentation. Int. J. Comput. Assist. Radiol. Surg. 15(3): 425-436 (2020) - [c3]Ilyas Sirazitdinov, Konstantin Kubrak, Semen Kiselev, Alexey Tolkachev, Maksym Kholiavchenko, Bulat Ibragimov:
Evaluation of Deep Learning Methods for Bone Suppression from Dual Energy Chest Radiography. ICANN (1) 2020: 247-257
2010 – 2019
- 2019
- [j1]Ilyas Sirazitdinov, Maksym Kholiavchenko, Tamerlan Mustafaev, Yixuan Yuan, Ramil Kuleev, Bulat Ibragimov:
Deep neural network ensemble for pneumonia localization from a large-scale chest x-ray database. Comput. Electr. Eng. 78: 388-399 (2019) - [c2]Julia Gusak, Maksym Kholyavchenko, Evgeny Ponomarev, Larisa Markeeva, Philip Blagoveschensky, Andrzej Cichocki, Ivan V. Oseledets:
Automated Multi-Stage Compression of Neural Networks. ICCV Workshops 2019: 2501-2508 - [c1]Ilyas Sirazitdinov, Maksym Kholiavchenko, Ramil Kuleev, Bulat Ibragimov:
Data Augmentation for Chest Pathologies Classification. ISBI 2019: 1216-1219 - [i2]Julia Gusak, Maksym Kholyavchenko, Evgeny Ponomarev, Larisa Markeeva, Ivan V. Oseledets, Andrzej Cichocki:
One time is not enough: iterative tensor decomposition for neural network compression. CoRR abs/1903.09973 (2019) - 2018
- [i1]Maksym Kholiavchenko:
Iterative Low-Rank Approximation for CNN Compression. CoRR abs/1803.08995 (2018)
Coauthor Index
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