Fatemeh Aghaeipoor

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 9

Top Topics

Regression Problems

Association Rule Mining

Top Venues

IEEE Trans. Fuzzy Syst.

Publications

Fatemeh Aghaeipoor, Mohammad Sabokrou, Alberto Fernández
Fuzzy Rule-Based Explainer Systems for Deep Neural Networks: From Local Explainability to Global Understanding. IEEE Trans. Fuzzy Syst. 31 (9) (2023)
Rojina Kashefi, Leili Barekatain, Mohammad Sabokrou, Fatemeh Aghaeipoor
Explainability of Vision Transformers: A Comprehensive Review and New Perspectives. CoRR (2023)
Fatemeh Aghaeipoor, Dorsa Asgarian, Mohammad Sabokrou
Expanding Explainability Horizons: A Unified Concept-Based System for Local, Global, and Misclassification Explanations. CoRR (2023)
Fatemeh Aghaeipoor, Mohammad Masoud Javidi, Alberto Fernández
IFC-BD: An Interpretable Fuzzy Classifier for Boosting Explainable Artificial Intelligence in Big Data. IEEE Trans. Fuzzy Syst. 30 (3) (2022)
Fatemeh Aghaeipoor, Mohammad Masoud Javidi
A hybrid fuzzy feature selection algorithm for high-dimensional regression problems: An mRMR-based framework. Expert Syst. Appl. 162 (2020)
Fatemeh Aghaeipoor, Mohammad Masoud Javidi, Isaac Triguero, Alberto Fernández
Chi-BD-DRF: Design of Scalable Fuzzy Classifiers for Big Data via A Dynamic Rule Filtering Approach. FUZZ-IEEE (2020)
Fatemeh Aghaeipoor, Mahdi Eftekhari
EEFR-R: extracting effective fuzzy rules for regression problems, through the cooperation of association rule mining concepts and evolutionary algorithms. Soft Comput. 23 (22) (2019)
Fatemeh Aghaeipoor, Mohammad Masoud Javidi
On the influence of using fuzzy extensions in linguistic fuzzy rule-based regression systems. Appl. Soft Comput. 79 (2019)
Fatemeh Aghaeipoor, Mohammad Masoud Javidi
MOKBL+MOMs: An interpretable multi-objective evolutionary fuzzy system for learning high-dimensional regression data. Inf. Sci. 496 (2019)