Mohamed Hosni

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 29

Top Topics

Classification Method

Feature Selection

Effort Estimation

Top Venues

J. Softw. Evol. Process.

Publications

Juan Manuel Carrillo de Gea, Christof Ebert, Mohamed Hosni, Aurora Vizcaíno, Joaquín Nicolás, José Luis Fernández Alemán
Tools for Requirements Engineering. IEEE Softw. 41 (4) (2024)
Mohamed Hosni, Ibtissam Medarhri, Soufiane Touiti, Amal Mezalek Tazi, Nabil Ngote
Decision Support System Based on Machine Learning Techniques to Diagnosis Heart Disease Using Four-Lead ECG Recordings. WorldCIST (2) (2023)
Mohamed Hosni
On the Value of Combiners in Heterogeneous Ensemble Effort Estimation. KDIR (2023)
Mohamed Hosni
Encoding Techniques for Handling Categorical Data in Machine Learning-Based Software Development Effort Estimation. KDIR (2023)
Houda Benhar, Mohamed Hosni, Ali Idri
Univariate and Multivariate Filter Feature Selection for Heart Disease Classification. J. Inf. Sci. Eng. 38 (4) (2022)
Houda Benhar, Ali Idri, Mohamed Hosni
Ensemble Feature Selection for Heart Disease Classification. HEALTHINF (2022)
Mohamed Hosni, Ali Idri, Alain Abran
On the value of filter feature selection techniques in homogeneous ensembles effort estimation. J. Softw. Evol. Process. 33 (6) (2021)
Bouchra El Ouassif, Ali Idri, Mohamed Hosni, Alain Abran
Classification techniques in breast cancer diagnosis: A systematic literature review. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 9 (1) (2021)
Bouchra El Ouassif, Ali Idri, Mohamed Hosni
Investigating Accuracy and Diversity in Heterogeneous Ensembles for Breast Cancer Classification. ICCSA (2) (2021)
Juan Manuel Carrillo-de-Gea, Christof Ebert, Mohamed Hosni, Aurora Vizcaíno, Joaquín Nicolás, José Luis Fernández Alemán
Requirements Engineering Tools: An Evaluation. IEEE Softw. 38 (3) (2021)
Bouchra El Ouassif, Ali Idri, Mohamed Hosni
Homogeneous Ensemble based Support Vector Machine in Breast Cancer Diagnosis. HEALTHINF (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)
Mohamed Hosni, Ginés García-Mateos, Juan Manuel Carrillo-de-Gea, Ali Idri, José Luis Fernández Alemán
A mapping study of ensemble classification methods in lung cancer decision support systems. Medical Biol. Eng. Comput. 58 (10) (2020)
Houda Benhar, Ali Idri, Mohamed Hosni
Impact of Threshold Values for Filter-based Univariate Feature Selection in Heart Disease Classification. HEALTHINF (2020)
Ibtissam Abnane, Mohamed Hosni, Ali Idri, Alain Abran
Analogy Software Effort Estimation Using Ensemble KNN Imputation. SEAA (2019)
Mohamed Hosni, Juan Manuel Carrillo-de-Gea, Ali Idri, José Luis Fernández Alemán, José A. García-Berná
Using ensemble classification methods in lung cancer disease. EMBC (2019)
Mohamed Hosni, Ali Idri, Alain Abran
Evaluating filter fuzzy analogy homogenous ensembles for software development effort estimation. J. Softw. Evol. Process. 31 (2) (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)
José Luis Fernández Alemán, Juan Manuel Carrillo-de-Gea, Mohamed Hosni, Ali Idri, Ginés García-Mateos
Homogeneous and heterogeneous ensemble classification methods in diabetes disease: a review. EMBC (2019)
Mohamed Hosni, Ali Idri
Software Development Effort Estimation Using Feature Selection Techniques. SoMeT (2018)
Mohamed Hosni, Ali Idri, Alain Abran
Improved Effort Estimation of Heterogeneous Ensembles using Filter Feature Selection. ICSOFT (2018)
Mohamed Hosni, Ali Idri, Alain Abran, Ali Bou Nassif
On the value of parameter tuning in heterogeneous ensembles effort estimation. Soft Comput. 22 (18) (2018)
Mohamed Hosni, Ali Idri, Alain Abran
Investigating heterogeneous ensembles with filter feature selection for software effort estimation. IWSM-Mensura (2017)
Mohamed Hosni, Ali Idri
Software effort estimation using classical analogy ensembles based on random subspace. SAC (2017)
Ali Idri, Mohamed Hosni, Alain Abran
Improved estimation of software development effort using Classical and Fuzzy Analogy ensembles. Appl. Soft Comput. 49 (2016)
Ali Idri, Mohamed Hosni, Alain Abran
Systematic Mapping Study of Ensemble Effort Estimation. ENASE (2016)
Ali Idri, Mohamed Hosni, Alain Abran
Systematic literature review of ensemble effort estimation. J. Syst. Softw. 118 (2016)