Systematic Mapping Study of Ensemble Effort Estimation. - Ali Idri; Mohamed Hosni; Alain Abran (ENASE, 2016)

Improved estimation of software development effort using Classical and Fuzzy Analogy ensembles. - Ali Idri; Mohamed Hosni; Alain Abran (Appl. Soft Comput., 2016)

Systematic literature review of ensemble effort estimation. - Ali Idri; Mohamed Hosni; Alain Abran (J. Syst. Softw., 2016)

Investigating heterogeneous ensembles with filter feature selection for software effort estimation. - Mohamed Hosni; Ali Idri; Alain Abran (IWSM-Mensura, 2017)

Software effort estimation using classical analogy ensembles based on random subspace. - Mohamed Hosni; Ali Idri (SAC, 2017)

Improved Effort Estimation of Heterogeneous Ensembles using Filter Feature Selection. - Mohamed Hosni; Ali Idri; Alain Abran (ICSOFT, 2018)

Software Development Effort Estimation Using Feature Selection Techniques. - Mohamed Hosni; Ali Idri (SoMeT, 2018)

On the value of parameter tuning in heterogeneous ensembles effort estimation. - Mohamed Hosni; Ali Idri; Alain Abran; Ali Bou Nassif (Soft Comput., 2018)

Homogeneous and heterogeneous ensemble classification methods in diabetes disease: a review. - José Luis Fernández-Alemán; Juan Manuel Carrillo de Gea; Mohamed Hosni; Ali Idri; Ginés García-Mateos (EMBC, 2019)

Using ensemble classification methods in lung cancer disease. - Mohamed Hosni; Juan Manuel Carrillo de Gea; Ali Idri; José Luis Fernández-Alemán; José A. García-Berná (EMBC, 2019)

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

Evaluating filter fuzzy analogy homogenous ensembles for software development effort estimation. - Mohamed Hosni; Ali Idri; Alain Abran (J. Softw. Evol. Process., 2019)

Impact of Threshold Values for Filter-based Univariate Feature Selection in Heart Disease Classification. - Houda Benhar; Ali Idri; Mohamed Hosni (HEALTHINF, 2020)

A mapping study of ensemble classification methods in lung cancer decision support systems. - Mohamed Hosni; Ginés García-Mateos; Juan Manuel Carrillo de Gea; Ali Idri; José Luis Fernández-Alemán (Medical Biol. Eng. Comput., 2020)

Homogeneous Ensemble based Support Vector Machine in Breast Cancer Diagnosis. - Bouchra El Ouassif; Ali Idri; Mohamed Hosni (HEALTHINF, 2021)

Investigating Accuracy and Diversity in Heterogeneous Ensembles for Breast Cancer Classification. - Bouchra El Ouassif; Ali Idri; Mohamed Hosni (ICCSA (2), 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)

Classification techniques in breast cancer diagnosis: A systematic literature review. - Bouchra El Ouassif; Ali Idri; Mohamed Hosni; Alain Abran (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021)

On the value of filter feature selection techniques in homogeneous ensembles effort estimation. - Mohamed Hosni; Ali Idri; Alain Abran (J. Softw. Evol. Process., 2021)

Requirements Engineering Tools: An Evaluation. - Juan Manuel Carrillo de Gea; Christof Ebert; Mohamed Hosni; Aurora Vizcaíno; Joaquín Nicolás; José Luis Fernández-Alemán (IEEE Softw., 2021)

Ensemble Feature Selection for Heart Disease Classification. - Houda Benhar; Ali Idri; Mohamed Hosni (HEALTHINF, 2022)

Univariate and Multivariate Filter Feature Selection for Heart Disease Classification. - Houda Benhar; Mohamed Hosni; Ali Idri (J. Inf. Sci. Eng., 2022)

On the Value of Combiners in Heterogeneous Ensemble Effort Estimation. - Mohamed Hosni (KDIR, 2023)

Encoding Techniques for Handling Categorical Data in Machine Learning-Based Software Development Effort Estimation. - Mohamed Hosni (KDIR, 2023)

Decision Support System Based on Machine Learning Techniques to Diagnosis Heart Disease Using Four-Lead ECG Recordings. - Mohamed Hosni; Ibtissam Medarhri; Soufiane Touiti; Amal Mezalek Tazi; Nabil Ngote (WorldCIST (2), 2023)

Comparative Analysis of Single and Ensemble Support Vector Regression Methods for Software Development Effort Estimation. - Mohamed Hosni (KDIR, 2024)

Software Testing Effort Estimation Based on Machine Learning Techniques: Single and Ensemble Methods. - Mohamed Hosni; Ibtissam Medarhri; Juan Manuel Carrillo de Gea (KDIR, 2024)

Reviewing Machine Learning Techniques in Credit Card Fraud Detection. - Ibtissam Medarhri; Mohamed Hosni; Mohamed Ettalhaoui; Zakaria Belhaj; Rabie Zine (KDIR, 2024)

Tools for Requirements Engineering. - Juan Manuel Carrillo de Gea; Christof Ebert; Mohamed Hosni; Aurora Vizcaíno; Joaquín Nicolás; José Luis Fernández-Alemán (IEEE Softw., 2024)

Requirements Engineering Tools: An Evaluation (DATASET). - Juan Manuel Carrillo de Gea; Christof Ebert; Mohamed Hosni; Aurora Vizcaíno; Joaquín Nicolás Ros; José Luis Fernández-Alemán (Zenodo, 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)