Systematic mapping study of missing values techniques in software engineering data. - Ali Idri; Ibtissam Abnane; Alain Abran (SNPD, 2015)

Evaluating Fuzzy Analogy on incomplete software projects data. - Ibtissam Abnane; Ali Idri (SSCI, 2016)

Missing data techniques in analogy-based software development effort estimation. - Ali Idri; Ibtissam Abnane; Alain Abran (J. Syst. Softw., 2016)

Fuzzy Analogy Based Effort Estimation: An Empirical Comparative Study. - Ali Idri; Ibtissam Abnane (CIT, 2017)

Empirical evaluation of fuzzy analogy for software development effort estimation. - Ibtissam Abnane; Ali Idri; Alain Abran (SAC, 2017)

Improved Analogy-based Effort Estimation with Incomplete Mixed Data. - Ibtissam Abnane; Ali Idri (FedCSIS, 2018)

Evaluating Pred(p) and standardized accuracy criteria in software development effort estimation. - Ali Idri; Ibtissam Abnane; Alain Abran (J. Softw. Evol. Process., 2018)

Support vector regression-based imputation in analogy-based software development effort estimation. - Ali Idri; Ibtissam Abnane; Alain Abran (J. Softw. Evol. Process., 2018)

Analogy Software Effort Estimation Using Ensemble KNN Imputation. - Ibtissam Abnane; Mohamed Hosni; Ali Idri; Alain Abran (SEAA, 2019)

Predicting blood glucose using an LSTM Neural Network. - Touria El Idrissi; Ali Idri; Ibtissam Abnane; Zohra Bakkoury (FedCSIS, 2019)

Breast Cancer Classification with Missing Data Imputation. - Imane Chlioui; Ali Idri; Ibtissam Abnane; Juan Manuel Carrillo de Gea; José Luis Fernández-Alemán (WorldCIST (3), 2019)

Impact of Parameter Tuning on Machine Learning Based Breast Cancer Classification. - Ali Idri; Mohamed Hosni; Ibtissam Abnane; Juan Manuel Carrillo de Gea; José Luis Fernández-Alemán (WorldCIST (3), 2019)

Reviewing ensemble classification methods in breast cancer. - Mohamed Hosni; Ibtissam Abnane; Ali Idri; Juan Manuel Carrillo de Gea; José Luis Fernández-Alemán (Comput. Methods Programs Biomed., 2019)

Comparing Statistical and Machine Learning Imputation Techniques in Breast Cancer Classification. - Imane Chlioui; Ibtissam Abnane; Ali Idri (ICCSA (4), 2020)

Artificial Neural Networks Interpretation Using LIME for Breast Cancer Diagnosis. - Hajar Hakkoum; Ali Idri; Ibtissam Abnane (WorldCIST (3), 2020)

Data preprocessing in knowledge discovery in breast cancer: systematic mapping study. - Imane Chlioui; Ali Idri; Ibtissam Abnane (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020)

Missing data techniques in classification for cardiovascular dysautonomias diagnosis. - Ali Idri; Ilham Kadi; Ibtissam Abnane; José Luis Fernández-Alemán (Medical Biol. Eng. Comput., 2020)

Fuzzy case-based-reasoning-based imputation for incomplete data in software engineering repositories. - Ibtissam Abnane; Ali Idri; Alain Abran (J. Softw. Evol. Process., 2020)

Deep and Ensemble Learning Based Land Use and Land Cover Classification. - Hicham Benbriqa; Ibtissam Abnane; Ali Idri; Khouloud Tabiti (ICCSA (3), 2021)

Heterogeneous ensemble imputation for software development effort estimation. - Ibtissam Abnane; Ali Idri; Mohamed Hosni; Alain Abran (PROMISE, 2021)

A systematic mapping study for ensemble classification methods in cardiovascular disease. - Mohamed Hosni; Juan Manuel Carrillo de Gea; Ali Idri; Manal El Bajta; José Luis Fernández-Alemán; Ginés García-Mateos; Ibtissam Abnane (Artif. Intell. Rev., 2021)

Assessing and Comparing Interpretability Techniques for Artificial Neural Networks Breast Cancer Classification. - Hajar Hakkoum; Ali Idri; Ibtissam Abnane (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021)

Ensemble Case based Reasoning Imputation in Breast Cancer Classification. - Imane Chlioui; Ali Idri; Ibtissam Abnane; Mahmoud Ezzat (J. Inf. Sci. Eng., 2021)

Evaluating Interpretability of Multilayer Perceptron and Support Vector Machines for Breast Cancer Classification. - Hajar Hakkoum; Ibtissam Abnane; Ali Idri (AICCSA, 2022)

A Systematic Map of Interpretability in Medicine. - Hajar Hakkoum; Ibtissam Abnane; Ali Idri (HEALTHINF, 2022)

Machine and Deep Learning Predictive Techniques for Blood Glucose Level. - Mamoune Benaida; Ibtissam Abnane; Ali Idri; Touria El Idrissi (WorldCIST (1), 2022)

Performance-Interpretability Tradeoff of Mamdani Neuro-Fuzzy Classifiers for Medical Data. - Hafsaa Ouifak; Ali Idri; Hicham Benbriqa; Ibtissam Abnane (WorldCIST (1), 2022)

Interpretability in the medical field: A systematic mapping and review study. - Hajar Hakkoum; Ibtissam Abnane; Ali Idri (Appl. Soft Comput., 2022)

Does Categorical Encoding Affect the Interpretability of a Multilayer Perceptron for Breast Cancer Classification? - Hajar Hakkoum; Ali Idri; Ibtissam Abnane; José Luis Fernades-Aleman (DATA, 2023)

Comparing Ensemble and Single Classifiers Using KNN Imputation for Incomplete Heart Disease Datasets. - Ismail Moatadid; Ibtissam Abnane; Ali Idri (KDIR, 2023)

Evaluating ensemble imputation in software effort estimation. - Ibtissam Abnane; Ali Idri; Imane Chlioui; Alain Abran (Empir. Softw. Eng., 2023)

Global and local interpretability techniques of supervised machine learning black box models for numerical medical data. - Hajar Hakkoum; Ali Idri; Ibtissam Abnane (Eng. Appl. Artif. Intell., 2024)

Optimized fuzzy clustering-based k-nearest neighbors imputation for mixed missing data in software development effort estimation. - Ibtissam Abnane; Ali Idri; Alain Abran (J. Softw. Evol. Process., 2024)

Designing and Evaluating Heterogeneous Ensembles for Blood Glucose Level Forecasting. - Mamoune Benaida; Ibtissam Abnane; Ali Idri (ICCSA (2), 2025)

Reviewing ensemble classification methods in breast cancer (DATASET). - Mohamed Hosni; Ibtissam Abnane; Ali Idri; Juan Manuel Carrillo de Gea; José Luis Fernández-Alemán (Zenodo, 2025)

Deep learning based one step and multi-steps ahead forecasting blood glucose level. - Mamoune Benaida; Ibtissam Abnane; Ali Idri (Expert Syst. J. Knowl. Eng., 2025)