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ORCIDSebastian Porebski
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2020 – today
- 2022
[j3]Sebastian Porebski
:
Evaluation of fuzzy membership functions for linguistic rule-based classifier focused on explainability, interpretability and reliability. Expert Syst. Appl. 199: 117116 (2022)- 2021
- [c5]Rafal Potempa, Sebastian Porebski:
Comparing Concepts of Quantum and Classical Neural Network Models for Image Classification Task. CORES/IP&C/ACS 2021: 61-71 - [i1]Rafal Potempa, Sebastian Porebski:
Comparing concepts of quantum and classical neural network models for image classification task. CoRR abs/2108.08875 (2021)
2010 – 2019
- 2019
- [c4]Sebastian Porebski, Ewa Straszecka:
Improving the Quality of Clustering-Based Diagnostic Rules by Lowering Dimension of the Cluster Prototypes. CORES 2019: 47-56 - 2018
- [j2]Sebastian Porebski, Piotr Porwik, Ewa Straszecka, Tomasz Orczyk:
Liver fibrosis diagnosis support using the Dempster-Shafer theory extended for fuzzy focal elements. Eng. Appl. Artif. Intell. 76: 67-79 (2018) - [j1]Sebastian Porebski, Ewa Straszecka:
Extracting easily interpreted diagnostic rules. Inf. Sci. 426: 19-37 (2018) - [c3]Sebastian Porebski, Ewa Straszecka:
Using Fuzzy Numbers for Modeling Series of Medical Measurements in a Diagnosis Support Based on the Dempster-Shafer Theory. ICAISC (2) 2018: 217-228 - 2017
- [c2]Sebastian Porebski, Ewa Straszecka:
Diagnostic Rule Extraction Using the Dempster-Shafer Theory Extended for Fuzzy Focal Elements. CORES 2017: 63-72 - 2016
- [c1]Sebastian Porebski, Ewa Straszecka:
Rule Extraction Using the Dempster-Shafer Theory in the Medical Diagnosis Support. ENIC 2016: 195-202
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