An Enhanced Approach to Rule Base Simplification of First-Order Takagi-Sugeno Fuzzy Inference Systems. - Caro Fuchs; Anna Wilbik; Saskia van Loon; Arjen-Kars Boer; Uzay Kaymak (EUSFLAT/IWIFSGN (2), 2017)

Towards More Specific Estimation of Membership Functions for Data-Driven Fuzzy Inference Systems. - Caro Fuchs; Anna Wilbik; Uzay Kaymak (FUZZ-IEEE, 2018)

On the Interaction Between Feature Selection and Parameter Determination in Fuzzy Modelling. - Peipei Chen; Caro Fuchs; Anna Wilbik; Tak-Ming Chan; Saskia van Loon; Arjen-Kars Boer; Xudong Lu; Volkher Scharnhorst; Uzay Kaymak (IPMU (3), 2018)

The understanding of the quantifiers 'many' and 'most'. - Caro Fuchs; Els Vlooswijk; Uzay Kaymak; Anna Wilbik (SSCI, 2018)

A Smartphone-Based Clinical Decision Support System for Tremor Assessment. - Guillaume Zamora; Caro Fuchs; Aurélie Degeneffe; Pieter Leonard Kubben; Uzay Kaymak (CIBB, 2019)

A Swarm Intelligence Approach to Avoid Local Optima in Fuzzy C-Means Clustering. - Caro Fuchs; Simone Spolaor; Marco S. Nobile; Uzay Kaymak (FUZZ-IEEE, 2019)

A Novel Multi-objective Approach to Fuzzy Clustering. - Simone Spolaor; Caro Fuchs; Uzay Kaymak; Marco S. Nobile (SSCI, 2019)

pyFUME: a Python Package for Fuzzy Model Estimation. - Caro Fuchs; Simone Spolaor; Marco S. Nobile; Uzay Kaymak (FUZZ-IEEE, 2020)

A Graph Theory Approach to Fuzzy Rule Base Simplification. - Caro Fuchs; Simone Spolaor; Marco S. Nobile; Uzay Kaymak (IPMU (1), 2020)

Simpful: A User-Friendly Python Library for Fuzzy Logic. - Simone Spolaor; Caro Fuchs; Paolo Cazzaniga; Uzay Kaymak; Daniela Besozzi; Marco S. Nobile (Int. J. Comput. Intell. Syst., 2020)

Tremor assessment using smartphone sensor data and fuzzy reasoning. - Caro Fuchs; Marco S. Nobile; Guillaume Zamora; Aurélie Degeneffe; Pieter Leonard Kubben; Uzay Kaymak (BMC Bioinform., 2021)

The Impact of Variable Selection and Transformation on the Interpretability and Accuracy of Fuzzy Models. - Caro Fuchs; Simone Spolaor; Uzay Kaymak; Marco S. Nobile (CIBCB, 2022)

Predicting and Characterizing Legal Claims of Hospitals with Computational Intelligence: the Legal and Ethical Implications. - Chiara Gallese; Caro Fuchs; Simone G. Riva; Emanuela Foglia; Fabrizio Schettini; Lucrezia Ferrario; Elena Falletti; Marco S. Nobile (CIBCB, 2022)

Comparing Interpretable AI Approaches for the Clinical Environment: an Application to COVID-19. - Mohsen Abbaspour Onari; Marco S. Nobile; Isel Grau; Caro Fuchs; Yingqian Zhang 001; Arjen-Kars Boer; Volkher Scharnhorst (CIBCB, 2022)

Building Interpretable and Parsimonious Fuzzy Models using a Multi-Objective Approach. - Caro Fuchs; Uzay Kaymak; Marco S. Nobile (FUZZ-IEEE, 2022)

Estimation of Fuzzy Models from Mixed Data Sets with pyFUME. - Daniele M. Papetti; Caro Fuchs; Vasco Coelho; Uzay Kaymak; Marco S. Nobile (CIBCB, 2023)

Applications of IFIS python library in interval-valued fuzzy inference problems. - Barbara Pékala; Piotr Grochowalski; Dawid Kosior; Dorota Gil; Wojciech Koziol; Krzysztof Dyczkowski; Uzay Kaymak; Caro Fuchs; Marco S. Nobile (FUZZ, 2024)

Python library for interval-valued fuzzy inference. - Krzysztof Dyczkowski; Piotr Grochowalski; Dawid Kosior; Dorota Gil; Wojciech Koziol; Barbara Pekala; Uzay Kaymak; Caro Fuchs; Marco S. Nobile (SoftwareX, 2024)