Fatemeh Aghaeipoor

According to our database, Fatemeh Aghaeipoor authored at least 9 papers between 2019 and 2023.

Collaborative distances:

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

2023

Fuzzy Rule-Based Explainer Systems for Deep Neural Networks: From Local Explainability to Global Understanding.

Fatemeh Aghaeipoor, Mohammad Sabokrou, Alberto Fernández

IEEE Trans. Fuzzy Syst., September, 2023

Explainability of Vision Transformers: A Comprehensive Review and New Perspectives.

Rojina Kashefi, Leili Barekatain, Mohammad Sabokrou, Fatemeh Aghaeipoor

CoRR, 2023

Expanding Explainability Horizons: A Unified Concept-Based System for Local, Global, and Misclassification Explanations.

Fatemeh Aghaeipoor, Dorsa Asgarian, Mohammad Sabokrou

CoRR, 2023

2022

IFC-BD: An Interpretable Fuzzy Classifier for Boosting Explainable Artificial Intelligence in Big Data.

Fatemeh Aghaeipoor, Mohammad Masoud Javidi, Alberto Fernández

IEEE Trans. Fuzzy Syst., 2022

2020

A hybrid fuzzy feature selection algorithm for high-dimensional regression problems: An mRMR-based framework.

Fatemeh Aghaeipoor, Mohammad Masoud Javidi

Expert Syst. Appl., 2020

Chi-BD-DRF: Design of Scalable Fuzzy Classifiers for Big Data via A Dynamic Rule Filtering Approach.

Fatemeh Aghaeipoor, Mohammad Masoud Javidi, Isaac Triguero, Alberto Fernández

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

2019

EEFR-R: extracting effective fuzzy rules for regression problems, through the cooperation of association rule mining concepts and evolutionary algorithms.

Fatemeh Aghaeipoor, Mahdi Eftekhari

Soft Comput., 2019

MOKBL+MOMs: An interpretable multi-objective evolutionary fuzzy system for learning high-dimensional regression data.

Fatemeh Aghaeipoor, Mohammad Masoud Javidi

Inf. Sci., 2019

On the influence of using fuzzy extensions in linguistic fuzzy rule-based regression systems.

Fatemeh Aghaeipoor, Mohammad Masoud Javidi

Appl. Soft Comput., 2019