Prediction of the lifespan of enameled wires used in low voltage inverter-fed motors by using the Design of Experiments (DoE). - Mateusz Szczepanski; David Malec; Pascal Maussion; Benoit Petitgas; Philippe Manfe (IAS, 2017)

Use of Design of Experiments (DoE) predictive models as a method of comparison of enameled wires used in low voltage inverter-fed motors. - Mateusz Szczepanski; David Malec; Pascal Maussion; Benoit Petitgas; Philippe Manfe (IAS, 2018)

Achieving Explainability of Intrusion Detection System by Hybrid Oracle-Explainer Approach. - Mateusz Szczepanski; Michal Choras; Marek Pawlicki; Rafal Kozik (IJCNN, 2020)

The Methods and Approaches of Explainable Artificial Intelligence. - Mateusz Szczepanski; Michal Choras; Marek Pawlicki; Aleksandra Pawlicka (ICCS (4), 2021)

The Proposition of Balanced and Explainable Surrogate Method for Network Intrusion Detection in Streamed Real Difficult Data. - Mateusz Szczepanski; Mikolaj Komisarek; Marek Pawlicki; Rafal Kozik; Michal Choras (ICCCI (CCIS Volume), 2021)

Fast Hybrid Oracle-Explainer Approach to Explainability Using Optimized Search of Comprehensible Decision Trees. - Mateusz Szczepanski; Marek Pawlicki; Rafal Kozik; Michal Choras (DSAA, 2022)

Efficient Post Event Analysis and Cyber Incident Response in IoT and E-commerce Through Innovative Graphs and Cyberthreat Intelligence Employment. - Rafal Kozik; Marek Pawlicki; Mateusz Szczepanski; Rafal Renk; Michal Choras (ICIC (3), 2022)

The Application of Deep Learning Imputation and Other Advanced Methods for Handling Missing Values in Network Intrusion Detection. - Mateusz Szczepanski; Marek Pawlicki; Rafal Kozik; Michal Choras (Vietnam. J. Comput. Sci., 2023)