An Impact of Different Images Color Spaces on the Efficiency of Convolutional Neural Networks. - Kamil Szyc (DepCoS-RELCOMEX, 2019)

IoT-Based Cow Health Monitoring System. - Olgierd Unold; Maciej Nikodem; Marek Piasecki; Kamil Szyc; Henryk Maciejewski; Marek A. Bawiec; Pawel Dobrowolski; Michal Zdunek (ICCS (5), 2020)

On Validity of Extreme Value Theory-Based Parametric Models for Out-of-Distribution Detection. - Tomasz Walkowiak; Kamil Szyc; Henryk Maciejewski (ICCS (3), 2021)

Checking Robustness of Representations Learned by Deep Neural Networks. - Kamil Szyc; Tomasz Walkowiak; Henryk Maciejewski (ECML/PKDD (5), 2021)

Why Out-of-distribution Detection in CNNs Does Not Like Mahalanobis - and What to Use Instead. - Kamil Szyc; Tomasz Walkowiak; Henryk Maciejewski (CoRR, 2021)

Out-of-Distribution Detection in High-Dimensional Data Using Mahalanobis Distance - Critical Analysis. - Henryk Maciejewski; Tomasz Walkowiak; Kamil Szyc (ICCS (1), 2022)

Combining Outlierness Scores and Feature Extraction Techniques for Improvement of OoD and Adversarial Attacks Detection in DNNs. - Tomasz Walkowiak; Kamil Szyc; Henryk Maciejewski (ICCS (1), 2023)

Why Out-of-Distribution detection experiments are not reliable - subtle experimental details muddle the OOD detector rankings. - Kamil Szyc; Tomasz Walkowiak; Henryk Maciejewski (UAI, 2023)

Bluetooth low energy indoor localization for large industrial areas and limited infrastructure. - Kamil Szyc; Maciej Nikodem; Michal Zdunek (Ad Hoc Networks, 2023)

Beyond Overall Accuracy: Exploring Per-Class Performance Reveals Robustness and Safety Gaps in Deep Models. - Kamil Szyc; Tomasz Walkowiak; Henryk Maciejewski (ICDM (Workshops), 2024)