Application of Siamese Networks to the Recognition of the Drill Wear State Based on Images of Drilled Holes. - Jaroslaw Kurek; Izabella Antoniuk; Bartosz Swiderski; Albina Jegorowa; Michal Bukowski (Sensors, 2020)

Decision Confidence Assessment in Multi-Class Classification. - Michal Bukowski; Jaroslaw Kurek; Izabella Antoniuk; Albina Jegorowa (Sensors, 2021)

Multiclass Image Classification Using GANs and CNN Based on Holes Drilled in Laminated Chipboard. - Grzegorz Wieczorek; Marcin Chlebus; Janusz Gajda; Katarzyna Chyrowicz; Kamila Kontna; Michal Korycki; Albina Jegorowa; Michal Kruk (Sensors, 2021)

Advanced Feature Extraction Methods from Images of Drillings in Melamine Faced Chipboard for Automatic Diagnosis of Drill Wear. - Izabella Antoniuk; Jaroslaw Kurek; Artur Krupa; Grzegorz Wieczorek; Michal Bukowski; Michal Kruk; Albina Jegorowa (Sensors, 2023)

Custom Loss Functions in XGBoost Algorithm for Enhanced Critical Error Mitigation in Drill-Wear Analysis of Melamine-Faced Chipboard. - Michal Bukowski; Jaroslaw Kurek; Bartosz Swiderski; Albina Jegorowa (Sensors, 2024)