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ORCIDIbtissam Abnane
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2020 – today
- 2024
[j14]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: 107829 (2024)- [j13]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) - 2023
- [j12]Ibtissam Abnane, Ali Idri, Imane Chlioui, Alain Abran:
Evaluating ensemble imputation in software effort estimation. Empir. Softw. Eng. 28(2): 56 (2023) - [c19]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: 351-358 - [c18]Ismail Moatadid, Ibtissam Abnane, Ali Idri:
Comparing Ensemble and Single Classifiers Using KNN Imputation for Incomplete Heart Disease Datasets. KDIR 2023: 379-386 - 2022
- [j11]Hajar Hakkoum, Ibtissam Abnane, Ali Idri:
Interpretability in the medical field: A systematic mapping and review study. Appl. Soft Comput. 117: 108391 (2022) - [c17]Hajar Hakkoum, Ibtissam Abnane, Ali Idri:
Evaluating Interpretability of Multilayer Perceptron and Support Vector Machines for Breast Cancer Classification. AICCSA 2022: 1-6 - [c16]Hajar Hakkoum, Ibtissam Abnane, Ali Idri:
A Systematic Map of Interpretability in Medicine. HEALTHINF 2022: 719-726 - [c15]Hafsaa Ouifak, Ali Idri, Hicham Benbriqa, Ibtissam Abnane:
Performance-Interpretability Tradeoff of Mamdani Neuro-Fuzzy Classifiers for Medical Data. WorldCIST (1) 2022: 456-465 - [c14]Mamoune Benaida, Ibtissam Abnane, Ali Idri, Touria El Idrissi:
Machine and Deep Learning Predictive Techniques for Blood Glucose Level. WorldCIST (1) 2022: 476-485 - 2021
- [j10]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): 2827-2861 (2021) - [j9]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): 587-599 (2021) - [j8]Imane Chlioui, Ali Idri, Ibtissam Abnane, Mahmoud Ezzat:
Ensemble Case based Reasoning Imputation in Breast Cancer Classification. J. Inf. Sci. Eng. 37(5): 1039-1051 (2021) - [c13]Hicham Benbriqa, Ibtissam Abnane, Ali Idri, Khouloud Tabiti:
Deep and Ensemble Learning Based Land Use and Land Cover Classification. ICCSA (3) 2021: 588-604 - [c12]Ibtissam Abnane, Ali Idri, Mohamed Hosni, Alain Abran:
Heterogeneous ensemble imputation for software development effort estimation. PROMISE 2021: 1-10 - 2020
- [j7]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): 547-561 (2020) - [j6]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): 2863-2878 (2020) - [j5]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) - [c11]Imane Chlioui, Ibtissam Abnane, Ali Idri:
Comparing Statistical and Machine Learning Imputation Techniques in Breast Cancer Classification. ICCSA (4) 2020: 61-76 - [c10]Hajar Hakkoum, Ali Idri, Ibtissam Abnane:
Artificial Neural Networks Interpretation Using LIME for Breast Cancer Diagnosis. WorldCIST (3) 2020: 15-24
2010 – 2019
- 2019
- [j4]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: 89-112 (2019) - [c9]Ibtissam Abnane, Mohamed Hosni, Ali Idri, Alain Abran:
Analogy Software Effort Estimation Using Ensemble KNN Imputation. SEAA 2019: 228-235 - [c8]Touria El Idrissi, Ali Idri, Ibtissam Abnane, Zohra Bakkoury:
Predicting blood glucose using an LSTM Neural Network. FedCSIS 2019: 35-41 - [c7]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: 13-23 - [c6]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: 115-125 - 2018
- [j3]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) - [j2]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) - [c5]Ibtissam Abnane, Ali Idri:
Improved Analogy-based Effort Estimation with Incomplete Mixed Data. FedCSIS 2018: 1015-1024 - 2017
- [c4]Ali Idri, Ibtissam Abnane:
Fuzzy Analogy Based Effort Estimation: An Empirical Comparative Study. CIT 2017: 114-121 - [c3]Ibtissam Abnane, Ali Idri, Alain Abran:
Empirical evaluation of fuzzy analogy for software development effort estimation. SAC 2017: 1302-1304 - 2016
- [j1]Ali Idri, Ibtissam Abnane, Alain Abran:
Missing data techniques in analogy-based software development effort estimation. J. Syst. Softw. 117: 595-611 (2016) - [c2]Ibtissam Abnane, Ali Idri:
Evaluating Fuzzy Analogy on incomplete software projects data. SSCI 2016: 1-8 - 2015
- [c1]Ali Idri, Ibtissam Abnane, Alain Abran:
Systematic mapping study of missing values techniques in software engineering data. SNPD 2015: 671-678
Coauthor Index
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