Sebastian Porebski - researchr alias

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Viewing Publication 1 - 8 from 8

2022

Evaluation of fuzzy membership functions for linguistic rule-based classifier focused on explainability, interpretability and reliabilitySebastian Porebski. eswa, 199:117116, 2022. [doi]

2021

Comparing Concepts of Quantum and Classical Neural Network Models for Image Classification TaskRafal Potempa, Sebastian Porebski. cores 2022: 61-71 [doi]

2019

Improving the Quality of Clustering-Based Diagnostic Rules by Lowering Dimension of the Cluster PrototypesSebastian Porebski, Ewa Straszecka. cores 2020: 47-56 [doi]

2018

Extracting easily interpreted diagnostic rulesSebastian Porebski, Ewa Straszecka. isci, 426:19-37, 2018. [doi]

Using Fuzzy Numbers for Modeling Series of Medical Measurements in a Diagnosis Support Based on the Dempster-Shafer TheorySebastian Porebski, Ewa Straszecka. icaisc 2018: 217-228 [doi]

Liver fibrosis diagnosis support using the Dempster-Shafer theory extended for fuzzy focal elementsSebastian Porebski, Piotr Porwik, Ewa Straszecka, Tomasz Orczyk. eaai, 76:67-79, 2018. [doi]

2017

Diagnostic Rule Extraction Using the Dempster-Shafer Theory Extended for Fuzzy Focal ElementsSebastian Porebski, Ewa Straszecka. cores 2018: 63-72 [doi]

2016

Rule Extraction Using the Dempster-Shafer Theory in the Medical Diagnosis SupportSebastian Porebski, Ewa Straszecka. pci 2016: 195-202 [doi]

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