| 2026 | ICCS | PISC: Physics-Informed Scene Constraints Method for Markerless 3D Human Localization for Safe Human-Robot Collaboration. | Rafal Kozik, Szymon Bus, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras |
| 2025 | AINA | Application of Selected Machine Learning Models in Leaf-Based Plant Health Assessment. | Jakub Filipek, Marek Pawlicki, Ryszard S. Choras, Rafal Kozik, Aleksandra Pawlicka, Michal Choras |
| 2025 | AINA | Evaluation of Selected Few-Shot Learning Methods in Network Intrusion Detection. | Eryk Winiecki, Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras |
| 2025 | ESORICS | Transparent and Trustworthy eXpainable AI (xAI) in Smart Human-Robot Collaboration Environment. | Michal Choras, Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik |
| 2025 | ICDM | Generative AI in Workplaces Worldwide: Emerging Ethical Risks and Mitigation Guidelines. | Aleksandra Pawlicka, Renata Tomaszewska, Marek Pawlicki, Rafal Kozik, Michal Choras |
| 2024 | ACIIDS | ULTIMATE Project Toolkit for Robotic AI-Based Data Analysis and Visualization. | Rafal Kozik, Damian Puchalski, Aleksandra Pawlicka, Szymon Bus, Jakub Glwka, Krishna Chandramouli, Marco Tiemann, Marek Pawlicki, Rafal Renk, Michal Choras |
| 2024 | ESORICS | Proposition of a Novel Type of Attacks Targetting Explainable AI Algorithms in Cybersecurity. | Sebastian Szelest, Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras |
| 2024 | ICCCI | From Detection Through Display to Understanding: Bridging AI and UI in Disinformation and Fake News Analysis. | Rafal Kozik, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras |
| 2024 | ICDM | Towards Transparent AI-Powered Cybersecurity in Financial Systems: The Deployment of Federated Learning and Explainable AI in the CaixaBank pilot. | Aikaterini Karampasi, Panagiotis I. Radoglou-Grammatikis, Marek Pawlicki, Ryszard S. Choras, Ramon Martn de Pozuelo, Panagiotis G. Sarigiannidis, Damian Puchalski, Aleksandra Pawlicka, Rafal Kozik, Michal Choras |
| 2024 | ICDM | Real-world Application Facilitating Trustworthy Human-Robot Collaboration with Innovative Explainable Neuro-symbolic Reasoning. | Rafal Kozik, Szymon Bus, Grzegorz Gawdzik, Marek Pawlicki, Aleksandra Pawlicka, Michal Choras |
| 2024 | ICDM | Enhancing Clinical Trust: The Role of AI Explainability in Transforming Healthcare. | Aleksandra Pawlicka, Marek Pawlicki, Dagmara Jaroszewska-Choras, Rafal Kozik, Michal Choras |
| 2024 | ICDM | Semi-Supervised Learning Trumps Active Learning in Cold-Starting Netflow-Based AI Network Intrusion Detection Systems on Scarce and Difficult Data. | Marek Pawlicki, Aleksandra Pawlicka, Ryszard S. Choras, Rafal Kozik, Michal Choras |
| 2023 | DSAA | Combating Disinformation with Holistic Architecture, Neuro-symbolic AI and NLU Models. | Rafal Kozik, Wojciech Mazurczyk, Krzysztof Cabaj, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras |
| 2023 | DSAA | Model Stitching Algorithm for Fake News Detection Problem. | Rafal Kozik, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras |
| 2023 | ESORICS | Not Only Security and Privacy: The Evolving Ethical and Legal Challenges of E-Commerce. | Michal Choras, Aleksandra Pawlicka, Dagmara Jaroszewska-Choras, Marek Pawlicki |
| 2023 | ICDM | The Need for Practical Legal and Ethical Guidelines for Explainable AI-based Network Intrusion Detection Systems. | Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Michal Choras |
| 2021 | ICCS | The Methods and Approaches of Explainable Artificial Intelligence. | Mateusz Szczepanski, Michal Choras, Marek Pawlicki, Aleksandra Pawlicka |