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2020 – today
- 2023
[j1]Mateusz Szczepanski, Marek Pawlicki, Rafal Kozik, Michal Choras:
The Application of Deep Learning Imputation and Other Advanced Methods for Handling Missing Values in Network Intrusion Detection. Vietnam. J. Comput. Sci. 10(1): 1-23 (2023)- 2022
- [c7]Mateusz Szczepanski, Marek Pawlicki, Rafal Kozik, Michal Choras:
Fast Hybrid Oracle-Explainer Approach to Explainability Using Optimized Search of Comprehensible Decision Trees. DSAA 2022: 1-10 - [c6]Rafal Kozik, Marek Pawlicki, Mateusz Szczepanski, Rafal Renk, Michal Choras:
Efficient Post Event Analysis and Cyber Incident Response in IoT and E-commerce Through Innovative Graphs and Cyberthreat Intelligence Employment. ICIC (3) 2022: 257-266 - 2021
- [c5]Mateusz Szczepanski, Michal Choras, Marek Pawlicki
, Aleksandra Pawlicka:
The Methods and Approaches of Explainable Artificial Intelligence. ICCS (4) 2021: 3-17 - [c4]Mateusz Szczepanski, Mikolaj Komisarek, Marek Pawlicki, Rafal Kozik, Michal Choras:
The Proposition of Balanced and Explainable Surrogate Method for Network Intrusion Detection in Streamed Real Difficult Data. ICCCI (CCIS Volume) 2021: 241-252 - 2020
- [c3]Mateusz Szczepanski, Michal Choras, Marek Pawlicki, Rafal Kozik:
Achieving Explainability of Intrusion Detection System by Hybrid Oracle-Explainer Approach. IJCNN 2020: 1-8
2010 – 2019
- 2018
- [c2]Mateusz Szczepanski, David Malec, Pascal Maussion, Benoit Petitgas, Philippe Manfe:
Use of Design of Experiments (DoE) predictive models as a method of comparison of enameled wires used in low voltage inverter-fed motors. IAS 2018: 1-8 - 2017
- [c1]Mateusz Szczepanski, David Malec, Pascal Maussion, Benoit Petitgas, Philippe Manfe:
Prediction of the lifespan of enameled wires used in low voltage inverter-fed motors by using the Design of Experiments (DoE). IAS 2017: 1-6
Coauthor Index
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