Ibtissam Abnane

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 32

Top Topics

Effort Estimation

Top Venues

J. Softw. Evol. Process.

Comput. methods Biomech. Biomed. Eng. Imaging Vis.

Publications

Hajar Hakkoum, Ali Idri, Ibtissam Abnane
Global and local interpretability techniques of supervised machine learning black box models for numerical medical data. Eng. Appl. Artif. Intell. 131 (2024)
Ibtissam Abnane, Ali Idri, Alain Abran
Optimized fuzzy clustering-based k-nearest neighbors imputation for mixed missing data in software development effort estimation. J. Softw. Evol. Process. 36 (4) (2024)
Ibtissam Abnane, Ali Idri, Imane Chlioui, Alain Abran
Evaluating ensemble imputation in software effort estimation. Empir. Softw. Eng. 28 (2) (2023)
Ismail Moatadid, Ibtissam Abnane, Ali Idri
Comparing Ensemble and Single Classifiers Using KNN Imputation for Incomplete Heart Disease Datasets. KDIR (2023)
Hajar Hakkoum, Ali Idri, Ibtissam Abnane, José Luis Fernades-Aleman
Does Categorical Encoding Affect the Interpretability of a Multilayer Perceptron for Breast Cancer Classification? DATA (2023)
Hajar Hakkoum, Ibtissam Abnane, Ali Idri
Evaluating Interpretability of Multilayer Perceptron and Support Vector Machines for Breast Cancer Classification. AICCSA (2022)
Hajar Hakkoum, Ibtissam Abnane, Ali Idri
Interpretability in the medical field: A systematic mapping and review study. Appl. Soft Comput. 117 (2022)
Hafsaa Ouifak, Ali Idri, Hicham Benbriqa, Ibtissam Abnane
Performance-Interpretability Tradeoff of Mamdani Neuro-Fuzzy Classifiers for Medical Data. WorldCIST (1) (2022)
Hajar Hakkoum, Ibtissam Abnane, Ali Idri
A Systematic Map of Interpretability in Medicine. HEALTHINF (2022)
Mamoune Benaida, Ibtissam Abnane, Ali Idri, Touria El Idrissi
Machine and Deep Learning Predictive Techniques for Blood Glucose Level. WorldCIST (1) (2022)
Hicham Benbriqa, Ibtissam Abnane, Ali Idri, Khouloud Tabiti
Deep and Ensemble Learning Based Land Use and Land Cover Classification. ICCSA (3) (2021)
Imane Chlioui, Ali Idri, Ibtissam Abnane, Mahmoud Ezzat
Ensemble Case based Reasoning Imputation in Breast Cancer Classification. J. Inf. Sci. Eng. 37 (5) (2021)
Hajar Hakkoum, Ali Idri, Ibtissam Abnane
Assessing and Comparing Interpretability Techniques for Artificial Neural Networks Breast Cancer Classification. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 9 (6) (2021)
Ibtissam Abnane, Ali Idri, Mohamed Hosni, Alain Abran
Heterogeneous ensemble imputation for software development effort estimation. PROMISE (2021)
Mohamed Hosni, Juan Manuel Carrillo-de-Gea, Ali Idri, Manal El Bajta, José Luis Fernández Alemán, Ginés García-Mateos, Ibtissam Abnane
A systematic mapping study for ensemble classification methods in cardiovascular disease. Artif. Intell. Rev. 54 (4) (2021)
Hajar Hakkoum, Ali Idri, Ibtissam Abnane
Artificial Neural Networks Interpretation Using LIME for Breast Cancer Diagnosis. WorldCIST (3) (2020)
Imane Chlioui, Ali Idri, Ibtissam Abnane
Data preprocessing in knowledge discovery in breast cancer: systematic mapping study. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 8 (5) (2020)
Ali Idri, Ilham Kadi, Ibtissam Abnane, José Luis Fernández Alemán
Missing data techniques in classification for cardiovascular dysautonomias diagnosis. Medical Biol. Eng. Comput. 58 (11) (2020)
Ibtissam Abnane, Ali Idri, Alain Abran
Fuzzy case-based-reasoning-based imputation for incomplete data in software engineering repositories. J. Softw. Evol. Process. 32 (9) (2020)
Imane Chlioui, Ibtissam Abnane, Ali Idri
Comparing Statistical and Machine Learning Imputation Techniques in Breast Cancer Classification. ICCSA (4) (2020)
Touria El Idrissi, Ali Idri, Ibtissam Abnane, Zohra Bakkoury
Predicting blood glucose using an LSTM Neural Network. FedCSIS (2019)
Ibtissam Abnane, Mohamed Hosni, Ali Idri, Alain Abran
Analogy Software Effort Estimation Using Ensemble KNN Imputation. SEAA (2019)
Ali Idri, Mohamed Hosni, Ibtissam Abnane, Juan Manuel Carrillo-de-Gea, José Luis Fernández Alemán
Impact of Parameter Tuning on Machine Learning Based Breast Cancer Classification. WorldCIST (3) (2019)
Mohamed Hosni, Ibtissam Abnane, Ali Idri, Juan Manuel Carrillo-de-Gea, José Luis Fernández Alemán
Reviewing ensemble classification methods in breast cancer. Comput. Methods Programs Biomed. 177 (2019)
Imane Chlioui, Ali Idri, Ibtissam Abnane, Juan Manuel Carrillo-de-Gea, José Luis Fernández Alemán
Breast Cancer Classification with Missing Data Imputation. WorldCIST (3) (2019)
Ibtissam Abnane, Ali Idri
Improved Analogy-based Effort Estimation with Incomplete Mixed Data. FedCSIS (2018)
Ali Idri, Ibtissam Abnane, Alain Abran
Evaluating Pred(p) and standardized accuracy criteria in software development effort estimation. J. Softw. Evol. Process. 30 (4) (2018)
Ali Idri, Ibtissam Abnane, Alain Abran
Support vector regression-based imputation in analogy-based software development effort estimation. J. Softw. Evol. Process. 30 (12) (2018)
Ali Idri, Ibtissam Abnane
Fuzzy Analogy Based Effort Estimation: An Empirical Comparative Study. CIT (2017)
Ibtissam Abnane, Ali Idri, Alain Abran
Empirical evaluation of fuzzy analogy for software development effort estimation. SAC (2017)
Ibtissam Abnane, Ali Idri
Evaluating Fuzzy Analogy on incomplete software projects data. SSCI (2016)
Ali Idri, Ibtissam Abnane, Alain Abran
Missing data techniques in analogy-based software development effort estimation. J. Syst. Softw. 117 (2016)
Ali Idri, Ibtissam Abnane, Alain Abran
Systematic mapping study of missing values techniques in software engineering data. SNPD (2015)