Analytical Solution for Long Battery Lifetime Prediction in Nonadaptive Systems. - Dmitry Ivanov; Kim G. Larsen; Sibylle Schupp; Jirí Srba (QEST, 2018)

Identifying Bid Leakage in Procurement Auctions: Machine Learning Approach. - Dmitry Ivanov; Alexander S. Nesterov (EC, 2019)

Static analysis for worst-case battery utilization. - Dmitry Ivanov; Sibylle Schupp (FormaliSE@ICSE, 2019)

DEDPUL: Method for Mixture Proportion Estimation and Positive-Unlabeled Classification based on Density Estimation. - Dmitry Ivanov (CoRR, 2019)

DEDPUL: Difference-of-Estimated-Densities-based Positive-Unlabeled Learning. - Dmitry Ivanov (ICMLA, 2020)

Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World. - Florian Laurent; Manuel Schneider; Christian Scheller; Jeremy D. Watson; Jiaoyang Li 001; Zhe Chen 016; Yi Zheng; Shao-Hung Chan; Konstantin Makhnev; Oleg Svidchenko; Vladimir Egorov; Dmitry Ivanov; et al. (NeurIPS (Competition and Demos), 2020)

Balancing Rational and Other-Regarding Preferences in Cooperative-Competitive Environments. - Dmitry Ivanov; Vladimir Egorov; Aleksei Shpilman (AAMAS, 2021)

Introduction to the Minitrack on Modeling and Decision Making in Manufacturing and Logistics in the Age of Industry 4.0. - Stefan Galka; Tobias Reggelin; Sebastian Lang 001; Dmitry Ivanov (HICSS, 2021)

The Advertising Prediction Model Based on Machine Learning Technologies. - Anastasiia Ivanytska; Liudmyla Zubyk; Yaroslav Zubyk; Dmitry Ivanov (IT&I Workshops, 2021)

UtBot at the SBST2021 Tool Competition. - Dmitry Ivanov; Nikolay Bukharev; Alexey Menshutin; Arsen Nagdalian; Gleb Stromov; Artem Ustinov (SBST@ICSE, 2021)

From Supply Chain Resilience to Ecosystem Viability: Lessons from and Thinking Beyond the COVID-19 Pandemic. - Dmitry Ivanov (DATA, 2022)

Introduction to the Minitrack on Simulation Modeling and Digital Twins for Decision Making in the Age of Industry 4.0. - Tobias Reggelin; Dmitry Ivanov; Sebastian Lang 001; Stefan Galka (HICSS, 2022)

ProExamit: Development of Cross-Platform, Fully Automated and Expandable in Terms of Detectable Violations Proctoring. - Kirill Krinkin; Valeriia Dopira; Mark Zaslavskiy; Maxim Subbotin; Nikita Iyerussalimov; Sergey Sorokumov; Yaroslav Gosudarkin; Sergey Glazunov; Dmitry Ivanov (IDC, 2022)

Optimal-er Auctions through Attention. - Dmitry Ivanov; Iskander Safiulin; Igor Filippov; Ksenia Balabaeva (NeurIPS, 2022)

UTBot Java at the SBST2022 Tool Competition. - Dmitry Ivanov; Alexey Menshutin; Denis Fokin; Yury Kamenev; Sergey Pospelov; Egor Kulikov; Nikita Stroganov (SBST@ICSE, 2022)

Neural Network Optimization for Reinforcement Learning Tasks Using Sparse Computations. - Dmitry Ivanov; Mikhail Kiselev; Denis A. Larionov (CoRR, 2022)

Improving State-of-the-Art in One-Class Classification by Leveraging Unlabeled Data. - Farid Bagirov; Dmitry Ivanov; Aleksei Shpilman (CoRR, 2022)

Self-Imitation Learning from Demonstrations. - Georgiy Pshikhachev; Dmitry Ivanov; Vladimir Egorov; Aleksei Shpilman (CoRR, 2022)

Neuromorphic Artificial Intelligence Systems. - Dmitry Ivanov; Aleksandr Chezhegov; Andrey Grunin; Mikhail V. Kiselev; Denis A. Larionov (CoRR, 2022)

Mediated Multi-Agent Reinforcement Learning. - Dmitry Ivanov; Ilya Zisman; Kirill Chernyshev (AAMAS, 2023)

Review of Drone Swarms Usage for 3D Reconstruction. - Dmitry Ivanov; Mark Zaslavskiy (FRUCT, 2023)

UnitTestBot: Automated Unit Test Generation for C Code in Integrated Development Environments. - Dmitry Ivanov; Alexey Babushkin; Saveliy Grigoryev; Pavel Iatchenii; Vladislav Kalugin; Egor Kichin; Egor Kulikov; Aleksandr Misonizhnik; Dmitry Mordvinov; Sergey Morozov 004; Olga Naumenko; Alexey Pleshakov; et al. (ICSE Companion, 2023)

UTBot at the SBFT 2023 Java Tool Competition. - Dmitry Ivanov; Alexey Menshutin; Maxim Pelevin; Daniil Stepanov; Denis Fokin; Yury Kamenev; Egor Kulikov; Artemiy Kononov; Sergey Pospelov; Ivan Volkov; Alena Lisevych; Timur Yuldashev; et al. (SBFT, 2023)

Relational Solver for Java Generics Type System. - Peter Lozov; Dmitry Kosarev; Dmitry Ivanov; Dmitry Boulytchev (LOPSTR, 2023)

Deep Contract Design via Discontinuous Networks. - Tonghan Wang 001; Paul Duetting; Dmitry Ivanov; Inbal Talgam-Cohen; David C. Parkes (NeurIPS, 2023)

Call Centre Optimization Based on Personalized Requests Distribution. - Elizaveta E. Tarasova; Dmitry Ivanov (OL2A (1), 2023)

Benchmark Framework with Skewed Workloads. - Vitaly Aksenov; Dmitry Ivanov; Ravil Galiev (CoRR, 2023)

Deep Contract Design via Discontinuous Piecewise Affine Neural Networks. - Tonghan Wang 001; Paul Dütting; Dmitry Ivanov; Inbal Talgam-Cohen; David C. Parkes (CoRR, 2023)

A review on reinforcement learning algorithms and applications in supply chain management. - Benjamin Rolf; Ilya Jackson; Marcel Müller; Sebastian Lang 001; Tobias Reggelin; Dmitry Ivanov (Int. J. Prod. Res., 2023)

Personalized Reinforcement Learning with a Budget of Policies. - Dmitry Ivanov; Omer Ben-Porat (AAAI, 2024)

KLEEF: Symbolic Execution Engine (Competition Contribution). - Aleksandr Misonizhnik; Sergey Morozov 004; Yurii Kostyukov; Vladislav Kalugin; Aleksei Babushkin; Dmitry Mordvinov; Dmitry Ivanov (FASE, 2024)

Trigram-Based Persistent IDE Indices with Quick Startup. - Zakhar Iakovlev; Alexey Chulkov; Nikita Golikov; Vyacheslav Lukianov; Nikita Zinoviev; Dmitry Ivanov; Vitaly Aksenov (IDE@ICSE, 2024)

Linear Search for an Escaping Target with Unknown Speed. - Jared Ray Coleman; Dmitry Ivanov; Evangelos Kranakis; Danny Krizanc; Oscar Morales-Ponce (IWOCA, 2024)

UTBot Python at the SBFT Tool Competition 2024. - Ekaterina Tochilina; Vyacheslav Tamarin; Dmitry Mordvinov; Valentyn Sobol; Sergey Pospelov; Alexey Menshutin; Yury Kamenev; Dmitry Ivanov (SBFT@ICSE, 2024)

Product upgrade and advanced quality disclosure in a supply chain. - Yang Liu 365; Bin Shen; Dmitry Ivanov (Comput. Ind. Eng., 2024)

Efficacy of Synthetic Data as a Benchmark. - Gaurav Maheshwari 005; Dmitry Ivanov; Kevin El Haddad (CoRR, 2024)

ASR Benchmarking: Need for a More Representative Conversational Dataset. - Gaurav Maheshwari 005; Dmitry Ivanov; Théo Johannet; Kevin El Haddad (ICASSP, 2025)

Multimodal Search on a Line. - Jared Ray Coleman; Dmitry Ivanov; Evangelos Kranakis; Danny Krizanc; Oscar Morales-Ponce (SIROCCO, 2025)

Effective Partitioning Method With Predictable Hardness for CircuitSAT. - Konstantin Chukharev; Irina Gribanova; Dmitry Ivanov; Stepan Kochemazov; Victor Kondratiev; Alexander A. Semenov (IEEE Access, 2025)

Life can't be too sweet: the effects of sugar-sweetened beverage labelling on the government's health battle. - Yang Liu 365; Bin Shen; Dmitry Ivanov (Int. J. Prod. Res., 2025)

Towards resilient and viable supply chains: a multidimensional model and empirical analysis. - Antonio Padovano; Dmitry Ivanov (Int. J. Prod. Res., 2025)

Operations & Supply Chain Management: Principles and Practice. - Fotios Petropoulos; Henk Akkermans; O. Zeynep Aksin; Imran Ali; Mohamed Zied Babai; Ana Barbosa-Póvoa; Olga Battaïa; Maria Besiou; Nils Boysen; Stephen Brammer; Alistair Brandon-Jones; Dirk Briskorn; et al. (CoRR, 2025)