Alexey Zakharov

According to our database, Alexey Zakharov authored at least 23 papers between 2010 and 2024.

Collaborative distances:

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

2024

The impact of deep learning aid on the workload and interpretation accuracy of radiologists on chest computed tomography: a cross-over reader study.

Anvar Kurmukov, Valeria Chernina, Regina Gareeva, Maria Dugova, Ekaterina Petrash, Olga Aleshina, Maxim Pisov, Boris Shirokikh, Valentin Samokhin, Vladislav Proskurov, Stanislav Shimovolos, Maria Basova, Mikhail Goncahrov, Eugenia Soboleva, Maria Donskova, Farukh Yaushev, Alexey Shevtsov, Alexey Zakharov, Talgat Saparov, Victor Gombolevskiy, Mikhail Belyaev

CoRR, 2024

2023

Interpretable vertebral fracture quantification via anchor-free landmarks localization.

Alexey Zakharov, Maxim Pisov, Alim Bukharaev, Alexey Petraikin, Sergey Morozov, Victor Gombolevskiy, Mikhail Belyaev

Medical Image Anal., 2023

2022

Long-horizon video prediction using a dynamic latent hierarchy.

Alexey Zakharov, Qinghai Guo, Zafeirios Fountas

CoRR, 2022

Modelling non-reinforced preferences using selective attention.

Noor Sajid, Panagiotis Tigas, Zafeirios Fountas, Qinghai Guo, Alexey Zakharov, Lancelot Da Costa

CoRR, 2022

Bayesian sense of time in biological and artificial brains.

Zafeirios Fountas, Alexey Zakharov

CoRR, 2022

Variational Predictive Routing with Nested Subjective Timescales.

Alexey Zakharov, Qinghai Guo, Zafeirios Fountas

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Exploration and preference satisfaction trade-off in reward-free learning.

Noor Sajid, Panagiotis Tigas, Alexey Zakharov, Zafeirios Fountas, Karl J. Friston

CoRR, 2021

2020

Episodic Memory for Learning Subjective-Timescale Models.

Alexey Zakharov, Matthew Crosby, Zafeirios Fountas

CoRR, 2020

Style transfer with variational autoencoders is a promising approach to RNA-Seq data harmonization and analysis.

Nikolay Russkikh, Denis V. Antonets, Dmitry Shtokalo, Alexander Makarov, Yuri Vyatkin, Alexey Zakharov, Evgeny Terentyev

Bioinform., 2020

Geometric Deep Learning for Post-Menstrual Age Prediction Based on the Neonatal White Matter Cortical Surface.

Vitalis Vosylius, Andy Wang, Cemlyn Waters, Alexey Zakharov, Francis Ward, Loïc Le Folgoc, John Cupitt, Antonios Makropoulos, Andreas Schuh, Daniel Rueckert, Amir Alansary

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020

Keypoints Localization for Joint Vertebra Detection and Fracture Severity Quantification.

Maxim Pisov, Vladimir Kondratenko, Alexey Zakharov, Alexey Petraikin, Victor Gombolevskiy, Sergey Morozov, Mikhail Belyaev

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2017

Data and Reliability Characterization Strategy for Automatic Detection of Valve Stiction in Control Loops.

Octavio Pozo Garcia, Alexey Zakharov, Sirkka-Liisa Jämsä Jounela

IEEE Trans. Control. Syst. Technol., 2017

2016

On One Multicriteria Optimal Control Problem of Economic Growth.

Alexey Zakharov

Proceedings of the Supplementary Proceedings of the 9th International Conference on Discrete Optimization and Operations Research and Scientific School (DOOR 2016), Vladivostok, Russia, September 19, 2016

2015

A performance optimization algorithm for controller reconfiguration in fault tolerant distributed model predictive control.

Alexey Zakharov, Elena Zattoni, Miao Yu, Sirkka-Liisa Jämsä Jounela

Proceedings of the IEEE International Conference on Automation Science and Engineering, 2015

2014

Multicriteria Group Choice via Majority Preference Relation Based on Cone Individual Preference Relations.

Alexey Zakharov

Proceedings of the Operations Research Proceedings 2014, 2014

The Majority Preference Relation based on Cone Preference Relations of the Decision Makers.

Alexey Zakharov

Proceedings of the Second International Conference on Information Technology and Quantitative Management, 2014

A dynamic prognosis algorithm in distributed fault tolerant model predictive control.

Alexey Zakharov, Miao Yu, Sirkka-Liisa Jämsä Jounela

Proceedings of the 2014 IEEE Conference on Control Applications, 2014

2013

Data characterization for automatic selection of valve stiction detection algorithms.

Alexey Zakharov, Elena Zattoni, Lei Xie, Octavio Pozo Garcia, Sirkka-Liisa Jämsä Jounela

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012

A Reuse-Oriented Development Process for Component-Based Robotic Systems.

Davide Brugali, Luca Gherardi, A. Biziak, Andrea Luzzana, Alexey Zakharov

Proceedings of the Simulation, Modeling, and Programming for Autonomous Robots, 2012

Outline of a fault diagnosis system for a large-scale board machine.

Sirkka-Liisa Jämsä Jounela, Vesa-Matti Tikkala, Alexey Zakharov, Octavio Pozo Garcia

Proceedings of the IEEE International Conference on Control Applications, 2012

2011

Application of the Enhanced Dynamic Causal Digraph Method on a Three-Layer Board Machine.

Hui Cheng, Vesa-Matti Tikkala, Alexey Zakharov, Tommi Myller, Sirkka-Liisa Jämsä Jounela

IEEE Trans. Control. Syst. Technol., 2011

Iterative optimization of the economic efficiency of an industrial process within the validity area of the static plant model and its application to a Pulp Mill.

Alexey Zakharov, Sirkka-Liisa Jämsä Jounela

Comput. Chem. Eng., 2011

2010

Component-based refactoring of motion planning libraries.

Davide Brugali, Walter Nowak, Luca Gherardi, Alexey Zakharov, Erwin Prassler

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010