IVIS: Highly customizable framework for visualization and processing of IoT data. - Lubomír Bulej; Tomás Bures; Petr Hnetynka; Václav Camra; Petr Siegl; Michal Töpfer (SEAA, 2020)

Super Mario A-Star Agent Revisited. - David Sosvald; Michal Töpfer; Jan Holan; Vojtech Cerný; Jakub Gemrot (ICTAI, 2021)

ML-DEECo: a Machine-Learning-Enabled Framework for Self-organizing Components. - Michal Töpfer; Milad Abdullah; Martin Krulis; Tomás Bures; Petr Hnetynka (ACSOS-C, 2022)

Introducing Estimators - Abstraction for Easy ML Employment in Self-adaptive Architectures. - Milad Abdullah; Michal Töpfer; Tomás Bures; Petr Hnetynka; Martin Krulis; Frantisek Plásil (ECSA (Tracks and Workshops), 2022)

Ensemble-Based Modeling Abstractions for Modern Self-optimizing Systems. - Michal Töpfer; Milad Abdullah; Tomás Bures; Petr Hnetynka; Martin Krulis (ISoLA (3), 2022)

Online ML Self-adaptation in Face of Traps. - Michal Töpfer; Frantisek Plásil; Tomás Bures; Petr Hnetynka; Martin Krulis; Danny Weyns (ACSOS, 2023)

Modeling Machine Learning Concerns in Collective Adaptive Systems. - Petr Hnetynka; Martin Krulis; Michal Töpfer; Tomás Bures (MODELSWARD, 2023)

Machine-learning abstractions for component-based self-optimizing systems. - Michal Töpfer; Milad Abdullah; Tomás Bures; Petr Hnetynka; Martin Krulis (Int. J. Softw. Tools Technol. Transf., 2023)

Robin: A Systematic Literature Mapping Management Tool. - Milad Abdullah; Michal Töpfer; Tomás Bures (SEAA, 2024)

How Well Do LLMs Understand DEECo Ensemble-Based Component Architectures. - Michal Töpfer; Danylo Khalyeyev; Tomás Bures; Petr Hnetynka; Frantisek Plásil (ISoLA (2), 2024)

Interpreting Workflow Architectures by LLMs. - Michal Töpfer; Tomás Bures; Frantisek Plásil; Petr Hnetynka (ENASE, 2025)