Rule Extraction Using the Dempster-Shafer Theory in the Medical Diagnosis Support. - Sebastian Porebski; Ewa Straszecka (ENIC, 2016)

Diagnostic Rule Extraction Using the Dempster-Shafer Theory Extended for Fuzzy Focal Elements. - Sebastian Porebski; Ewa Straszecka (CORES, 2017)

Using Fuzzy Numbers for Modeling Series of Medical Measurements in a Diagnosis Support Based on the Dempster-Shafer Theory. - Sebastian Porebski; Ewa Straszecka (ICAISC (2), 2018)

Liver fibrosis diagnosis support using the Dempster-Shafer theory extended for fuzzy focal elements. - Sebastian Porebski; Piotr Porwik; Ewa Straszecka; Tomasz Orczyk (Eng. Appl. Artif. Intell., 2018)

Extracting easily interpreted diagnostic rules. - Sebastian Porebski; Ewa Straszecka (Inf. Sci., 2018)

Improving the Quality of Clustering-Based Diagnostic Rules by Lowering Dimension of the Cluster Prototypes. - Sebastian Porebski; Ewa Straszecka (CORES, 2019)

Comparing Concepts of Quantum and Classical Neural Network Models for Image Classification Task. - Rafal Potempa; Sebastian Porebski (CORES/IP&C/ACS, 2021)

Evaluation of fuzzy membership functions for linguistic rule-based classifier focused on explainability, interpretability and reliability. - Sebastian Porebski (Expert Syst. Appl., 2022)