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2020 – today
- 2024
[j3]Krzysztof Dyczkowski
, Piotr Grochowalski, Dawid Kosior, Dorota Gil, Wojciech Koziol, Barbara Pekala, Uzay Kaymak, Caro Fuchs, Marco S. Nobile:
Python library for interval-valued fuzzy inference. SoftwareX 26: 101730 (2024)- [c15]Barbara Pékala, Piotr Grochowalski, Dawid Kosior, Dorota Gil, Wojciech Koziol, Krzysztof Dyczkowski, Uzay Kaymak, Caro Fuchs, Marco S. Nobile:
Applications of IFIS python library in interval-valued fuzzy inference problems. FUZZ 2024: 1-9 - 2023
- [c14]Daniele M. Papetti, Caro Fuchs, Vasco Coelho, Uzay Kaymak, Marco S. Nobile:
Estimation of Fuzzy Models from Mixed Data Sets with pyFUME. CIBCB 2023: 1-8 - 2022
- [c13]Caro Fuchs, Simone Spolaor, Uzay Kaymak, Marco S. Nobile:
The Impact of Variable Selection and Transformation on the Interpretability and Accuracy of Fuzzy Models. CIBCB 2022: 1-8 - [c12]Chiara Gallese, Caro Fuchs, Simone G. Riva, Emanuela Foglia, Fabrizio Schettini, Lucrezia Ferrario, Elena Falletti, Marco S. Nobile:
Predicting and Characterizing Legal Claims of Hospitals with Computational Intelligence: the Legal and Ethical Implications. CIBCB 2022: 1-9 - [c11]Mohsen Abbaspour Onari, Marco S. Nobile, Isel Grau, Caro Fuchs, Yingqian Zhang, Arjen-Kars Boer, Volkher Scharnhorst:
Comparing Interpretable AI Approaches for the Clinical Environment: an Application to COVID-19. CIBCB 2022: 1-8 - [c10]Caro Fuchs, Uzay Kaymak, Marco S. Nobile:
Building Interpretable and Parsimonious Fuzzy Models using a Multi-Objective Approach. FUZZ-IEEE 2022: 1-8 - 2021
- [j2]Caro Fuchs, Marco S. Nobile, Guillaume Zamora, Aurélie Degeneffe, Pieter Leonard Kubben, Uzay Kaymak:
Tremor assessment using smartphone sensor data and fuzzy reasoning. BMC Bioinform. 22-S(2): 57 (2021) - 2020
- [j1]Simone Spolaor, Caro Fuchs, Paolo Cazzaniga, Uzay Kaymak, Daniela Besozzi, Marco S. Nobile:
Simpful: A User-Friendly Python Library for Fuzzy Logic. Int. J. Comput. Intell. Syst. 13(1): 1687-1698 (2020) - [c9]Caro Fuchs, Simone Spolaor, Marco S. Nobile, Uzay Kaymak:
pyFUME: a Python Package for Fuzzy Model Estimation. FUZZ-IEEE 2020: 1-8 - [c8]Caro Fuchs, Simone Spolaor, Marco S. Nobile, Uzay Kaymak:
A Graph Theory Approach to Fuzzy Rule Base Simplification. IPMU (1) 2020: 387-401
2010 – 2019
- 2019
- [c7]Guillaume Zamora, Caro Fuchs, Aurélie Degeneffe, Pieter Leonard Kubben, Uzay Kaymak:
A Smartphone-Based Clinical Decision Support System for Tremor Assessment. CIBB 2019: 3-12 - [c6]Caro Fuchs, Simone Spolaor, Marco S. Nobile, Uzay Kaymak:
A Swarm Intelligence Approach to Avoid Local Optima in Fuzzy C-Means Clustering. FUZZ-IEEE 2019: 1-6 - [c5]Simone Spolaor, Caro Fuchs, Uzay Kaymak, Marco S. Nobile:
A Novel Multi-objective Approach to Fuzzy Clustering. SSCI 2019: 850-857 - 2018
- [c4]Caro Fuchs, Anna Wilbik, Uzay Kaymak:
Towards More Specific Estimation of Membership Functions for Data-Driven Fuzzy Inference Systems. FUZZ-IEEE 2018: 1-8 - [c3]Peipei Chen, Caro Fuchs, Anna Wilbik, Tak-Ming Chan, Saskia van Loon, Arjen-Kars Boer, Xudong Lu, Volkher Scharnhorst, Uzay Kaymak:
On the Interaction Between Feature Selection and Parameter Determination in Fuzzy Modelling. IPMU (3) 2018: 150-161 - [c2]Caro Fuchs, Els Vlooswijk, Uzay Kaymak, Anna Wilbik:
The understanding of the quantifiers 'many' and 'most'. SSCI 2018: 189-195 - 2017
- [c1]Caro Fuchs, Anna Wilbik, Saskia van Loon, Arjen-Kars Boer, Uzay Kaymak:
An Enhanced Approach to Rule Base Simplification of First-Order Takagi-Sugeno Fuzzy Inference Systems. EUSFLAT/IWIFSGN (2) 2017: 92-103
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