| 2026 | ICCS | Rule-Based Federated Learning for Healthcare. | Kamil Wozniak, Jos L. R. Sousa, Bartlomiej Sniezynski |
| 2023 | ICCS | Prediction of Casting Mechanical Parameters Based on Direct Microstructure Image Analysis Using Deep Neural Network and Graphite Forms Classification. | Bartlomiej Sniezynski, Dorota Wilk-Kolodziejczyk, Radoslaw Lazarz, Krzysztof Jaskowiec |
| 2022 | DSAA | Active Lifelong Anomaly Detection with Experience Replay. | Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Nathalie Japkowicz |
| 2022 | ICCS | Effect of Feature Discretization on Classification Performance of Explainable Scoring-Based Machine Learning Model. | Arkadiusz Pajor, Jakub Zolnierek, Bartlomiej Sniezynski, Arkadiusz Sitek |
| 2022 | IJCNN | LIFEWATCH: Lifelong Wasserstein Change Point Detection. | Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Michael Baron, Nathalie Japkowicz |
| 2021 | ACIIDS | Heterogeneous Information Access System with a Natural Language Interface in the Context of Organization of Events. | Piotr Nawrocki, Dominik Radziszowski, Bartlomiej Sniezynski |
| 2021 | CCGRID | Autoencoder-based IDS for cloud and mobile devices. | Kamil Faber, Lukasz Faber, Bartlomiej Sniezynski |
| 2021 | CCGRID | Security-aware job allocation in mobile cloud computing. | Piotr Nawrocki, Jakub Pajor, Bartlomiej Sniezynski, Joanna Kolodziej |
| 2021 | ICCS | Pruned Simulation-Based Optimal Sailboat Path Search Using Micro HPC Systems. | Roman Debski, Bartlomiej Sniezynski |
| 2021 | ICCS | Electrocardiogram Quality Assessment with Autoencoder. | Jan Garus, Mateusz Pabian, Marcin Wisniewski, Bartlomiej Sniezynski |
| 2020 | CCGRID | Adaptive context-aware energy optimization for services on mobile devices with use of machine learning considering security aspects. | Piotr Nawrocki, Bartlomiej Sniezynski, Joanna Kolodziej, Pawel Szynkiewicz |
| 2019 | ICCS | Multi-agent Environment for Decision-Support in Production Systems Using Machine Learning Methods. | Jaroslaw Kozlak, Bartlomiej Sniezynski, Dorota Wilk-Kolodziejczyk, Albert Lesniak, Krzysztof Jaskowiec |
| 2019 | ICRA | Adapting Everyday Manipulation Skills to Varied Scenarios. | Pawel Gajewski, Paulo Abelha Ferreira, Georg Bartels, Chaozheng Wang, Frank Guerin, Bipin Indurkhya, Michael Beetz, Bartlomiej Sniezynski |
| 2019 | RO-MAN | On the Role of Trust in Child-Robot Interaction. | Paulina Zguda, Bartlomiej Sniezynski, Bipin Indurkhya, Anna Kolota, Mateusz Jarosz, Filip Sondej, Takamune Izui, Maria Dziok, Anna Belowska, Wojciech Jedras, Gentiane Venture |
| 2018 | ICCCI | Agent-Based Decision-Information System Supporting Effective Resource Management of Companies. | Jaroslaw Kozlak, Bartlomiej Sniezynski, Dorota Wilk-Kolodziejczyk, Stanislawa Kluska-Nawarecka, Krzysztof Jaskowiec, Malgorzata Zabinska |
| 2017 | ACIIDS | Creative Expert System: Comparison of Proof Searching Strategies. | Bartlomiej Sniezynski, Grzegorz Legien, Dorota Wilk-Kolodziejczyk, Stanislawa Kluska-Nawarecka, Edward Nawarecki, Krzysztof Jaskowiec |
| 2017 | ICCS | Agent-based Decision Support System for Technology Recommendation. | Grzegorz Legien, Bartlomiej Sniezynski, Dorota Wilk-Kolodziejczyk, Stanislawa Kluska-Nawarecka, Edward Nawarecki, Krzysztof Jaskowiec |
| 2016 | DEXA | Creative Expert System: Result of Inference and Machine Learning Integration. | Bartlomiej Sniezynski, Grzegorz Legien, Dorota Wilk-Kolodziejczyk, Stanislawa Kluska-Nawarecka, Edward Nawarecki, Krzysztof Jaskowiec |
| 2015 | DEXA | Expert System with Web Interface Based on Logic of Plausible Reasoning. | Grzegorz Legien, Bartlomiej Sniezynski, Dorota Wilk-Kolodziejczyk, Stanislawa Kluska-Nawarecka, Edward Nawarecki, Krzysztof Jaskowiec |
| 2015 | ICCCI | Combining Machine Learning and Multi-agent Approach for Controlling Traffic at Intersections. | Mateusz Krzyszton, Bartlomiej Sniezynski |
| 2014 | ICCS | Agent-based Adaptation System for Service-oriented Architectures Using Supervised Learning. | Bartlomiej Sniezynski |
| 2014 | KES | Training Example Generation Method for Supervised Learning Agents in Sequential Scenarios. | Pawel Stobiecki, Bartlomiej Sniezynski |
| 2013 | ICCCI | Comparison of Reinforcement and Supervised Learning Methods in Farmer-Pest Problem with Delayed Rewards. | Bartlomiej Sniezynski |
| 2011 | ICCCI | Agent-Based System with Learning Capabilities for Transport Problems. | Bartlomiej Sniezynski, Jaroslaw Kozlak |
| 2010 | DEXA | B2R: An Algorithm for Converting Bayesian Networks to Sets of Rules. | Bartlomiej Sniezynski, Tomasz Lukasik, Marek Mierzwa |
| 2010 | ICMLA | Combining Rule Induction and Reinforcement Learning: An Agent-based Vehicle Routing. | Bartlomiej Sniezynski, Wojciech Wjcik, Jan D. Gehrke, Janusz Wojtusiak |
| 2009 | ICCS | Toward the New Generation of Intelligent Distributed Computing Systems. | Robert Schaefer, Krzysztof Cetnarowicz, Bojin Zheng, Bartlomiej Sniezynski |
| 2009 | ICCS | Agent Strategy Generation by Rule Induction in Predator-Prey Problem. | Bartlomiej Sniezynski |
| 2008 | ICCS | Intelligent Agents and Evolvable Systems. | Krzysztof Cetnarowicz, Robert Schaefer, Bojin Zheng, Maciej Paszynski, Bartlomiej Sniezynski |
| 2008 | ICCS | An Architecture for Learning Agents. | Bartlomiej Sniezynski |
| 2007 | ICCS | Resource Management in a Multi-agent System by Means of Reinforcement Learning and Supervised Rule Learning. | Bartlomiej Sniezynski |
| 2006 | DEXA | Converting a Naive Bayes Models with Multi-valued Domains into Sets of Rules. | Bartlomiej Sniezynski |
| 2006 | ICCS | Multiagent Simulation of Physical Phenomena by Means of Aspect Programming. | Slawomir Bieniasz, Stanislaw Ciszewski, Bartlomiej Sniezynski |
| 2006 | ICCS | Learning in a Multi-agent System as a Mean for Effective Resource Management. | Bartlomiej Sniezynski, Jaroslaw Kozlak |
| 2002 | ISMIS | Basic Semantics of the Logic of Plausible Reasoning. | Bartlomiej Sniezynski |