Component-based refactoring of motion planning libraries. - Davide Brugali; Walter Nowak; Luca Gherardi; Alexey Zakharov; Erwin Prassler (IROS, 2010)

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)

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)

Outline of a fault diagnosis system for a large-scale board machine. - Sirkka-Liisa Jämsä Jounela; Vesa-Matti Tikkala; Alexey Zakharov; Octavio Pozo Garcia (CCA, 2012)

A Reuse-Oriented Development Process for Component-Based Robotic Systems. - Davide Brugali; Luca Gherardi; A. Biziak; Andrea Luzzana; Alexey Zakharov (SIMPAR, 2012)

Data characterization for automatic selection of valve stiction detection algorithms. - Alexey Zakharov; Elena Zattoni; Lei Xie; Octavio Pozo Garcia; Sirkka-Liisa Jämsä Jounela (CDC, 2013)

A dynamic prognosis algorithm in distributed fault tolerant model predictive control. - Alexey Zakharov; Miao Yu 002; Sirkka-Liisa Jämsä Jounela (CCA, 2014)

The Majority Preference Relation based on Cone Preference Relations of the Decision Makers. - Alexey Zakharov (ITQM, 2014)

Multicriteria Group Choice via Majority Preference Relation Based on Cone Individual Preference Relations. - Alexey Zakharov (OR, 2014)

A performance optimization algorithm for controller reconfiguration in fault tolerant distributed model predictive control. - Alexey Zakharov; Elena Zattoni; Miao Yu 002; Sirkka-Liisa Jämsä Jounela (CASE, 2015)

On One Multicriteria Optimal Control Problem of Economic Growth. - Alexey Zakharov (DOOR (Supplement), 2016)

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)

Keypoints Localization for Joint Vertebra Detection and Fracture Severity Quantification. - Maxim Pisov; Vladimir Kondratenko; Alexey Zakharov; Alexey Petraikin; Victor Gombolevskiy; Sergey Morozov 002; Mikhail Belyaev (MICCAI (6), 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 (UNSURE/GRAIL@MICCAI, 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)

Episodic Memory for Learning Subjective-Timescale Models. - Alexey Zakharov; Matthew Crosby; Zafeirios Fountas (CoRR, 2020)

Exploration and preference satisfaction trade-off in reward-free learning. - Noor Sajid; Panagiotis Tigas; Alexey Zakharov; Zafeirios Fountas; Karl J. Friston (CoRR, 2021)

Variational Predictive Routing with Nested Subjective Timescales. - Alexey Zakharov; Qinghai Guo; Zafeirios Fountas (ICLR, 2022)

Bayesian sense of time in biological and artificial brains. - Zafeirios Fountas; Alexey Zakharov (CoRR, 2022)

Modelling non-reinforced preferences using selective attention. - Noor Sajid; Panagiotis Tigas; Zafeirios Fountas; Qinghai Guo; Alexey Zakharov; Lancelot Da Costa (CoRR, 2022)

Long-horizon video prediction using a dynamic latent hierarchy. - Alexey Zakharov; Qinghai Guo; Zafeirios Fountas (CoRR, 2022)

Interpretable vertebral fracture quantification via anchor-free landmarks localization. - Alexey Zakharov; Maxim Pisov; Alim Bukharaev; Alexey Petraikin; Sergey Morozov 002; Victor Gombolevskiy; Mikhail Belyaev (Medical Image Anal., 2023)

The Impact of Deep Learning Aid on the Workload and Interpretation Accuracy of Radiologists on Chest Computed Tomography. - Anvar Kurmukov; Valeria Chernina; Regina Gareeva; Maria Dugova; Ekaterina Petrash; Olga Aleshina; Maxim Pisov; Boris Shirokikh; Valentin Samokhin; Vladislav Proskurov; Stanislav Shimovolos; Maria Basova; et al. (MICAD, 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; et al. (CoRR, 2024)

GoalLadder: Incremental Goal Discovery with Vision-Language Models. - Alexey Zakharov; Shimon Whiteson (CoRR, 2025)