Maksim Kholiavchenko

According to our database, Maksim Kholiavchenko authored at least 16 papers between 2018 and 2024.

Collaborative distances:

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

2024

Species-Agnostic Patterned Animal Re-identification by Aggregating Deep Local Features.

Ekaterina A. Nepovinnykh, Ilja Chelak, Tuomas Eerola, Veikka Immonen, Heikki Kälviäinen, Maksim Kholiavchenko, Charles V. Stewart

Int. J. Comput. Vis., September, 2024

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).

Jenna Kline, Maksim Kholiavchenko, Otto Brookes, Tanya Y. Berger-Wolf, Charles V. Stewart, Christopher Stewart

CoRR, 2024

BaboonLand Dataset: Tracking Primates in the Wild and Automating Behaviour Recognition from Drone Videos.

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

CoRR, 2024

KABR: In-Situ Dataset for Kenyan Animal Behavior Recognition from Drone Videos.

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

2023

A Framework for Autonomic Computing for In Situ Imageomics.

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

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2023

2022

Artificial Intelligence for the Analysis of Workload-Related Changes in Radiologists' Gaze Patterns.

Ilya Pershin, Maksim Kholiavchenko, Bulat Maksudov, Tamerlan Mustafaev, Dilyara Ibragimova, Bulat Ibragimov

IEEE J. Biomed. Health Informatics, 2022

AI-based analysis of radiologist's eye movements for fatigue estimation: a pilot study on chest X-rays.

Ilya Pershin, Maksim Kholiavchenko, Bulat Maksudov, Tamerlan Mustafaev, Bulat Ibragimov

Proceedings of the Medical Imaging 2022: Image Perception, 2022

Gaze-based attention to improve the classification of lung diseases.

Maksim Kholiavchenko, Ilya Pershin, Bulat Maksudov, Tamerlan Mustafaev, Yixuan Yuan, Bulat Ibragimov

Proceedings of the Medical Imaging 2022: Image Processing, 2022

2021

Deep Learning for Diagnosis and Segmentation of Pneumothorax: The Results on the Kaggle Competition and Validation Against Radiologists.

Alexey Tolkachev, Ilyas Sirazitdinov, Maksym Kholiavchenko, Tamerlan Mustafaev, Bulat Ibragimov

IEEE J. Biomed. Health Informatics, 2021

2020

Contour-aware multi-label chest X-ray organ segmentation.

Maksym Kholiavchenko, Ilyas Sirazitdinov, Konstantin Kubrak, R. Badrutdinova, Ramil Kuleev, Yixuan Yuan, Tomaz Vrtovec, Bulat Ibragimov

Int. J. Comput. Assist. Radiol. Surg., 2020

Evaluation of Deep Learning Methods for Bone Suppression from Dual Energy Chest Radiography.

Ilyas Sirazitdinov, Konstantin Kubrak, Semen Kiselev, Alexey Tolkachev, Maksym Kholiavchenko, Bulat Ibragimov

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019

One time is not enough: iterative tensor decomposition for neural network compression.

Julia Gusak, Maksym Kholyavchenko, Evgeny Ponomarev, Larisa Markeeva, Ivan V. Oseledets, Andrzej Cichocki

CoRR, 2019

Deep neural network ensemble for pneumonia localization from a large-scale chest x-ray database.

Ilyas Sirazitdinov, Maksym Kholiavchenko, Tamerlan Mustafaev, Yixuan Yuan, Ramil Kuleev, Bulat Ibragimov

Comput. Electr. Eng., 2019

Data Augmentation for Chest Pathologies Classification.

Ilyas Sirazitdinov, Maksym Kholiavchenko, Ramil Kuleev, Bulat Ibragimov

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Automated Multi-Stage Compression of Neural Networks.

Julia Gusak, Maksym Kholyavchenko, Evgeny Ponomarev, Larisa Markeeva, Philip Blagoveschensky, Andrzej Cichocki, Ivan V. Oseledets

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Iterative Low-Rank Approximation for CNN Compression.

Maksym Kholiavchenko

CoRR, 2018