Hajar Hakkoum

11 papers C 3Journal 5Unranked 3
YearRankTypeTitle / Venue / Authors
2024 C conf
A Comparative Study on the Impact of Categorical Encoding on Black Box Model Interpretability.
DATA
Hajar Hakkoum, Ali Idri
2024 J jnl
Assessing the effectiveness of dimensionality reduction on the interpretability of opaque machine learning-based attack detection systems.
Comput. Electr. Eng.
Houssam Zouhri, Ali Idri, Hajar Hakkoum
2024 J jnl
Global and local interpretability techniques of supervised machine learning black box models for numerical medical data.
Eng. Appl. Artif. Intell.
Hajar Hakkoum, Ali Idri, Ibtissam Abnane
2023 C conf
Does Categorical Encoding Affect the Interpretability of a Multilayer Perceptron for Breast Cancer Classification?
DATA
Hajar Hakkoum, Ali Idri, Ibtissam Abnane, José Luis Fernades-Aleman
2023 — conf
Explainability of MLP Based Species Distribution Models: A Case Study.
ICAART (3)
Imane El Assari, Hajar Hakkoum, Ali Idri
2022 — conf
A Systematic Map of Interpretability in Medicine.
HEALTHINF
Hajar Hakkoum, Ibtissam Abnane, Ali Idri
2022 J jnl
Ensemble blood glucose prediction in diabetes mellitus: A review.
Comput. Biol. Medicine
Mohamed Zaim Wadghiri, Ali Idri, Touria El Idrissi, Hajar Hakkoum
2022 C conf
Evaluating Interpretability of Multilayer Perceptron and Support Vector Machines for Breast Cancer Classification.
AICCSA
Hajar Hakkoum, Ibtissam Abnane, Ali Idri
2022 J jnl
Interpretability in the medical field: A systematic mapping and review study.
Appl. Soft Comput.
Hajar Hakkoum, Ibtissam Abnane, Ali Idri
2021 J jnl
Assessing and Comparing Interpretability Techniques for Artificial Neural Networks Breast Cancer Classification.
Comput. methods Biomech. Biomed. Eng. Imaging Vis.
Hajar Hakkoum, Ali Idri, Ibtissam Abnane
2020 — conf
Artificial Neural Networks Interpretation Using LIME for Breast Cancer Diagnosis.
WorldCIST (3)
Hajar Hakkoum, Ali Idri, Ibtissam Abnane