Toward Machine Learning on Granulated Data - a Case of Compact Autoencoder-based Representations of Satellite Images. - Mateusz Przyborowski; Tomasz Tajmajer; Lukasz Grad; Andrzej Janusz; Piotr Biczyk; Dominik Slezak (IEEE BigData, 2018)

Network Device Workload Prediction: A Data Mining Challenge at Knowledge Pit. - Andrzej Janusz; Mateusz Przyborowski; Piotr Biczyk; Dominik Slezak (FedCSIS, 2020)

Towards automated detection of adversarial attacks on tabular data. - Piotr Biczyk; Lukasz Wawrowski (FedCSIS, 2023)

Cybersecurity Threat Detection in the Behavior of IoT Devices: Analysis of Data Mining Competition Results. - Michal Czerwinski; Marcin Michalak 001; Piotr Biczyk; Blazej Adamczyk; Daniel Iwanicki; Iwona Kostorz; Maksym Brzeczek; Andrzej Janusz; Marek Hermansa; Lukasz Wawrowski; Artur Kozlowski (FedCSIS, 2023)

A New Data Model for Behavioral Based Anomaly Detection in IoT Device Monitoring. - Marcin Michalak 001; Piotr Biczyk; Blazej Adamczyk; Maksym Brzeczek; Marek Hermansa; Iwona Kostorz; Lukasz Wawrowski; Michal Czerwinski (IJCRS, 2023)

BrightBox - A rough set based technology for diagnosing mistakes of machine learning models. - Andrzej Janusz; Andzelika Zalewska; Lukasz Wawrowski; Piotr Biczyk; Jan Ludziejewski; Marek Sikora; Dominik Slezak (Appl. Soft Comput., 2023)