The Gap between Packet Level QoS and Objective QoE Assessment of WWW on Mobile Devices. - Adam Flizikowski; Damian Puchalski; Kacper Sachajdak; Witold Holubowicz (IP&C, 2010)

Online Social Networks: Emerging Security and Safety Applications. - Michal Choras; Marco Manso; Damian Puchalski; Rafal Kozik; Krzysztof Samp (IP&C, 2012)

A Concept of Unobtrusive Method for Complementary Emotive User Profiling and Personalization for IPTV Platforms. - Adam Flizikowski; Mateusz Majewski; Damian Puchalski; Hassnaa Moustafa; Michal Choras (IP&C, 2012)

Correlation Approach for SQL Injection Attacks Detection. - Michal Choras; Rafal Kozik; Damian Puchalski; Witold Holubowicz (CISIS/ICEUTE/SOCO Special Sessions, 2012)

Pattern Recognition Solutions for Fake News Detection. - Michal Choras; Agata Gielczyk; Konstantinos P. Demestichas; Damian Puchalski; Rafal Kozik (CISIM, 2018)

Platform for Software Quality and Dependability Data Analysis. - Rafal Kozik; Michal Choras; Damian Puchalski; Rafal Renk (DepCoS-RELCOMEX, 2018)

Increasing product owners' cognition and decision-making capabilities by data analysis approach. - Michal Choras; Rafal Kozik; Damian Puchalski; Rafal Renk (Cogn. Technol. Work., 2019)

Q-Rapids framework for advanced data analysis to improve rapid software development. - Rafal Kozik; Michal Choras; Damian Puchalski; Rafal Renk (J. Ambient Intell. Humaniz. Comput., 2019)

Stegomalware detection through structural analysis of media files. - Damian Puchalski; Luca Caviglione; Rafal Kozik; Adrian Marzecki; Slawomir Krawczyk; Michal Choras (ARES, 2020)

Machine Learning - The Results Are Not the only Thing that Matters! What About Security, Explainability and Fairness? - Michal Choras; Marek Pawlicki; Damian Puchalski; Rafal Kozik (ICCS (4), 2020)

Towards AI-Based Reaction and Mitigation for e-Commerce - the ENSURESEC Engine. - Marek Pawlicki; Rafal Kozik; Damian Puchalski; Michal Choras (ICIC (3), 2021)

How to secure the IoT-based surveillance systems in an ELEGANT way. - Aleksandra Pawlicka; Damian Puchalski; Marek Pawlicki; Rafal Kozik; Michal Choras (CSR, 2023)

Introducing a Multi-Perspective xAI Tool for Better Model Explainability. - Marek Pawlicki; Damian Puchalski; Sebastian Szelest; Aleksandra Pawlicka; Rafal Kozik; Michal Choras (ARES, 2024)

Trustworthy AI-based Cyber-Attack Detector for Network Cyber Crime Forensics. - Damian Puchalski; Marek Pawlicki; Rafal Kozik; Rafal Renk; Michal Choras (ARES, 2024)

ULTIMATE Project Toolkit for Robotic AI-Based Data Analysis and Visualization. - Rafal Kozik; Damian Puchalski; Aleksandra Pawlicka; Szymon Bus; Jakub Glówka; Krishna Chandramouli; Marco Tiemann; Marek Pawlicki; Rafal Renk; Michal Choras (ACIIDS (2), 2024)

When an Old Telecommunication Law Meets Generative AI: the Manifesto to Unbundle AI. - Aleksandra Pawlicka; Marek Pawlicki; Dagmara Jaroszewska-Choras; Damian Puchalski; Rafal Kozik; Michal Choras (IEEE Big Data, 2024)

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 Choras; Ramon Martín de Pozuelo; Panagiotis G. Sarigiannidis; Damian Puchalski; Aleksandra Pawlicka; Rafal Kozik; Michal Choras (ICDM (Workshops), 2024)