Mojtaba Yeganejou

According to our database, Mojtaba Yeganejou authored at least 8 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2023

DCNFIS: Deep Convolutional Neuro-Fuzzy Inference System.

Mojtaba Yeganejou, Kimia Honari, Ryan Kluzinski, Scott Dick, Michael Lipsett, James Miller

CoRR, 2023

Accurate and Explainable Retinal Disease Recognition via DCNFIS.

Mojtaba Yeganejou, Mohammad Keshmiri, Scott Dick

Proceedings of the Fuzzy Information Processing 2023, 2023

2022

An End-to-End Trainable Deep Convolutional Neuro-Fuzzy Classifier.

Mojtaba Yeganejou, Ryan Kluzinski, Scott Dick, James Miller

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

2021

Surgical Skill Evaluation From Robot-Assisted Surgery Recordings.

Abed Soleymani, Ali Akbar Sadat Asl, Mojtaba Yeganejou, Scott Dick, Mahdi Tavakoli, Xingyu Li

Proceedings of the International Symposium on Medical Robotics, 2021

2020

Interpretable Deep Convolutional Fuzzy Classifier.

Mojtaba Yeganejou, Scott Dick, James Miller

IEEE Trans. Fuzzy Syst., 2020

2019

Improved Deep Fuzzy Clustering for Accurate and Interpretable Classifiers.

Mojtaba Yeganejou, Scott Dick

Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2018

Classification via Deep Fuzzy c-Means Clustering.

Mojtaba Yeganejou, Scott Dick

Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2017

Inductive learning of classifiers via complex fuzzy sets and logic.

Mojtaba Yeganejou, Scott Dick

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017