Ibtissam Abnane

37 papers B 1C 6Misc 1Journal 17Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Stacked ensembles for one-step and multi-step ahead BGL forecasting.
Biomed. Signal Process. Control.
Mamoune Benaida, Ibtissam Abnane, Ali Idri
2025 J jnl
Deep learning based one step and multi-steps ahead forecasting blood glucose level.
Expert Syst. J. Knowl. Eng.
Mamoune Benaida, Ibtissam Abnane, Ali Idri
2025 — conf
Designing and Evaluating Heterogeneous Ensembles for Blood Glucose Level Forecasting.
ICCSA (2)
Mamoune Benaida, Ibtissam Abnane, Ali Idri
2025 J jnl
Enhancing medical classification with fuzzy logic-based missing data imputation technique.
Int. J. Data Sci. Anal.
Ismail Moatadid, Ali Idri, Ibtissam Abnane
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
2024 J jnl
Optimized fuzzy clustering-based k-nearest neighbors imputation for mixed missing data in software development effort estimation.
J. Softw. Evol. Process.
Ibtissam Abnane, Ali Idri, Alain Abran
2023 — conf
Comparing Ensemble and Single Classifiers Using KNN Imputation for Incomplete Heart Disease Datasets.
KDIR
Ismail Moatadid, Ibtissam Abnane, Ali Idri
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 J jnl
Evaluating ensemble imputation in software effort estimation.
Empir. Softw. Eng.
Ibtissam Abnane, Ali Idri, Imane Chlioui, Alain Abran
2022 — conf
A Systematic Map of Interpretability in Medicine.
HEALTHINF
Hajar Hakkoum, Ibtissam Abnane, Ali Idri
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
2022 — conf
Machine and Deep Learning Predictive Techniques for Blood Glucose Level.
WorldCIST (1)
Mamoune Benaida, Ibtissam Abnane, Ali Idri, Touria El Idrissi
2022 — conf
Performance-Interpretability Tradeoff of Mamdani Neuro-Fuzzy Classifiers for Medical Data.
WorldCIST (1)
Hafsaa Ouifak, Ali Idri, Hicham Benbriqa, Ibtissam Abnane
2021 J jnl
A systematic mapping study for ensemble classification methods in cardiovascular disease.
Artif. Intell. Rev.
Mohamed Hosni, Juan Manuel Carrillo de Gea, Ali Idri, Manal El Bajta, José Luis Fernández-Alemán, Ginés García-Mateos, Ibtissam Abnane
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
2021 — conf
Deep and Ensemble Learning Based Land Use and Land Cover Classification.
ICCSA (3)
Hicham Benbriqa, Ibtissam Abnane, Ali Idri, Khouloud Tabiti
2021 J jnl
Ensemble Case based Reasoning Imputation in Breast Cancer Classification.
J. Inf. Sci. Eng.
Imane Chlioui, Ali Idri, Ibtissam Abnane, Mahmoud Ezzat
2021 — conf
Heterogeneous ensemble imputation for software development effort estimation.
PROMISE
Ibtissam Abnane, Ali Idri, Mohamed Hosni, Alain Abran
2020 — conf
Artificial Neural Networks Interpretation Using LIME for Breast Cancer Diagnosis.
WorldCIST (3)
Hajar Hakkoum, Ali Idri, Ibtissam Abnane
2020 — conf
Comparing Statistical and Machine Learning Imputation Techniques in Breast Cancer Classification.
ICCSA (4)
Imane Chlioui, Ibtissam Abnane, Ali Idri
2020 J jnl
Data preprocessing in knowledge discovery in breast cancer: systematic mapping study.
Comput. methods Biomech. Biomed. Eng. Imaging Vis.
Imane Chlioui, Ali Idri, Ibtissam Abnane
2020 J jnl
Fuzzy case-based-reasoning-based imputation for incomplete data in software engineering repositories.
J. Softw. Evol. Process.
Ibtissam Abnane, Ali Idri, Alain Abran
2020 J jnl
Missing data techniques in classification for cardiovascular dysautonomias diagnosis.
Medical Biol. Eng. Comput.
Ali Idri, Ilham Kadi, Ibtissam Abnane, José Luis Fernández-Alemán
2019 B conf
Analogy Software Effort Estimation Using Ensemble KNN Imputation.
SEAA
Ibtissam Abnane, Mohamed Hosni, Ali Idri, Alain Abran
2019 — conf
Breast Cancer Classification with Missing Data Imputation.
WorldCIST (3)
Imane Chlioui, Ali Idri, Ibtissam Abnane, Juan Manuel Carrillo de Gea, José Luis Fernández-Alemán
2019 — conf
Impact of Parameter Tuning on Machine Learning Based Breast Cancer Classification.
WorldCIST (3)
Ali Idri, Mohamed Hosni, Ibtissam Abnane, Juan Manuel Carrillo de Gea, José Luis Fernández-Alemán
2019 C conf
Predicting blood glucose using an LSTM Neural Network.
FedCSIS
Touria El Idrissi, Ali Idri, Ibtissam Abnane, Zohra Bakkoury
2019 J jnl
Reviewing ensemble classification methods in breast cancer.
Comput. Methods Programs Biomed.
Mohamed Hosni, Ibtissam Abnane, Ali Idri, Juan Manuel Carrillo de Gea, José Luis Fernández-Alemán
2018 J jnl
Evaluating Pred(p) and standardized accuracy criteria in software development effort estimation.
J. Softw. Evol. Process.
Ali Idri, Ibtissam Abnane, Alain Abran
2018 C conf
Improved Analogy-based Effort Estimation with Incomplete Mixed Data.
FedCSIS
Ibtissam Abnane, Ali Idri
2018 J jnl
Support vector regression-based imputation in analogy-based software development effort estimation.
J. Softw. Evol. Process.
Ali Idri, Ibtissam Abnane, Alain Abran
2017 Misc conf
Empirical evaluation of fuzzy analogy for software development effort estimation.
SAC
Ibtissam Abnane, Ali Idri, Alain Abran
2017 C conf
Fuzzy Analogy Based Effort Estimation: An Empirical Comparative Study.
CIT
Ali Idri, Ibtissam Abnane
2016 — conf
Evaluating Fuzzy Analogy on incomplete software projects data.
SSCI
Ibtissam Abnane, Ali Idri
2016 J jnl
Missing data techniques in analogy-based software development effort estimation.
J. Syst. Softw.
Ali Idri, Ibtissam Abnane, Alain Abran
2015 C conf
Systematic mapping study of missing values techniques in software engineering data.
SNPD
Ali Idri, Ibtissam Abnane, Alain Abran