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2020 – today
- 2023
[j1]Andrzej Janusz
, Andzelika Zalewska, Lukasz Wawrowski, Piotr Biczyk, Jan Ludziejewski, Marek Sikora, Dominik Slezak:
BrightBox - A rough set based technology for diagnosing mistakes of machine learning models. Appl. Soft Comput. 141: 110285 (2023)- [c5]Piotr Biczyk, Lukasz Wawrowski:
Towards automated detection of adversarial attacks on tabular data. FedCSIS 2023: 247-251 - [c4]Michal Czerwinski, Marcin Michalak, Piotr Biczyk, Blazej Adamczyk, Daniel Iwanicki, Iwona Kostorz, Maksym Brzeczek, Andrzej Janusz, Marek Hermansa, Lukasz Wawrowski, Artur Kozlowski:
Cybersecurity Threat Detection in the Behavior of IoT Devices: Analysis of Data Mining Competition Results. FedCSIS 2023: 1289-1293 - [c3]Marcin Michalak, Piotr Biczyk, Blazej Adamczyk, Maksym Brzeczek, Marek Hermansa, Iwona Kostorz, Lukasz Wawrowski, Michal Czerwinski:
A New Data Model for Behavioral Based Anomaly Detection in IoT Device Monitoring. IJCRS 2023: 599-611 - 2020
- [c2]Andrzej Janusz, Mateusz Przyborowski, Piotr Biczyk, Dominik Slezak:
Network Device Workload Prediction: A Data Mining Challenge at Knowledge Pit. FedCSIS 2020: 77-80
2010 – 2019
- 2018
- [c1]Mateusz Przyborowski, Tomasz Tajmajer, Lukasz Grad, Andrzej Janusz, Piotr Biczyk, Dominik Slezak:
Toward Machine Learning on Granulated Data - a Case of Compact Autoencoder-based Representations of Satellite Images. IEEE BigData 2018: 2657-2662
Coauthor Index
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