Inductive learning of classifiers via complex fuzzy sets and logic. - Mojtaba Yeganejou; Scott Dick (FUZZ-IEEE, 2017)

Classification via Deep Fuzzy c-Means Clustering. - Mojtaba Yeganejou; Scott Dick (FUZZ-IEEE, 2018)

Improved Deep Fuzzy Clustering for Accurate and Interpretable Classifiers. - Mojtaba Yeganejou; Scott Dick (FUZZ-IEEE, 2019)

Interpretable Deep Convolutional Fuzzy Classifier. - Mojtaba Yeganejou; Scott Dick; James Miller 001 (IEEE Trans. Fuzzy Syst., 2020)

Surgical Skill Evaluation From Robot-Assisted Surgery Recordings. - Abed Soleymani; Ali Akbar Sadat Asl; Mojtaba Yeganejou; Scott Dick; Mahdi Tavakoli; Xingyu Li (ISMR, 2021)

An End-to-End Trainable Deep Convolutional Neuro-Fuzzy Classifier. - Mojtaba Yeganejou; Ryan Kluzinski; Scott Dick; James Miller 001 (FUZZ-IEEE, 2022)

Accurate and Explainable Retinal Disease Recognition via DCNFIS. - Mojtaba Yeganejou; Mohammad Keshmiri; Scott Dick (NAFIPS, 2023)

DCNFIS: Deep Convolutional Neuro-Fuzzy Inference System. - Mojtaba Yeganejou; Kimia Honari; Ryan Kluzinski; Scott Dick; Michael Lipsett; James Miller 001 (CoRR, 2023)