Mohamed Hosni

33 papers B 2C 2Misc 1Journal 13Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
A watermarking-based multimodal healthcare data protection using blockchain and deep learning.
Biomed. Signal Process. Control.
Chaimae Chekira, Naima El-Amarty, Mohamed Hosni, Hakim el Fadili
2024 — conf
Comparative Analysis of Single and Ensemble Support Vector Regression Methods for Software Development Effort Estimation.
KDIR
Mohamed Hosni
2024 — conf
Reviewing Machine Learning Techniques in Credit Card Fraud Detection.
KDIR
Ibtissam Medarhri, Mohamed Hosni, Mohamed Ettalhaoui, Zakaria Belhaj, Rabie Zine
2024 — conf
Software Testing Effort Estimation Based on Machine Learning Techniques: Single and Ensemble Methods.
KDIR
Mohamed Hosni, Ibtissam Medarhri, Juan Manuel Carrillo de Gea
2024 J jnl
Tools for Requirements Engineering.
IEEE Softw.
Juan Manuel Carrillo de Gea, Christof Ebert, Mohamed Hosni, Aurora Vizcaíno, Joaquín Nicolás, José Luis Fernández-Alemán
2023 — conf
Decision Support System Based on Machine Learning Techniques to Diagnosis Heart Disease Using Four-Lead ECG Recordings.
WorldCIST (2)
Mohamed Hosni, Ibtissam Medarhri, Soufiane Touiti, Amal Mezalek Tazi, Nabil Ngote
2023 — conf
Encoding Techniques for Handling Categorical Data in Machine Learning-Based Software Development Effort Estimation.
KDIR
Mohamed Hosni
2023 — conf
On the Value of Combiners in Heterogeneous Ensemble Effort Estimation.
KDIR
Mohamed Hosni
2022 — conf
Ensemble Feature Selection for Heart Disease Classification.
HEALTHINF
Houda Benhar, Ali Idri, Mohamed Hosni
2022 J jnl
Univariate and Multivariate Filter Feature Selection for Heart Disease Classification.
J. Inf. Sci. Eng.
Houda Benhar, Mohamed Hosni, Ali Idri
2021 J jnl
A systematic mapping study for ensemble classification methods in cardiovascular disease.
Artif. Intell. Rev.
Mohamed Hosni, Juan Manuel Carrillo de Gea, Ali Idri, Manal El Bajta, José Luis Fernández-Alemán, Ginés García-Mateos, Ibtissam Abnane
2021 J jnl
Classification techniques in breast cancer diagnosis: A systematic literature review.
Comput. methods Biomech. Biomed. Eng. Imaging Vis.
Bouchra El Ouassif, Ali Idri, Mohamed Hosni, Alain Abran
2021 — conf
Heterogeneous ensemble imputation for software development effort estimation.
PROMISE
Ibtissam Abnane, Ali Idri, Mohamed Hosni, Alain Abran
2021 — conf
Homogeneous Ensemble based Support Vector Machine in Breast Cancer Diagnosis.
HEALTHINF
Bouchra El Ouassif, Ali Idri, Mohamed Hosni
2021 — conf
Investigating Accuracy and Diversity in Heterogeneous Ensembles for Breast Cancer Classification.
ICCSA (2)
Bouchra El Ouassif, Ali Idri, Mohamed Hosni
2021 J jnl
On the value of filter feature selection techniques in homogeneous ensembles effort estimation.
J. Softw. Evol. Process.
Mohamed Hosni, Ali Idri, Alain Abran
2021 J jnl
Requirements Engineering Tools: An Evaluation.
IEEE Softw.
Juan Manuel Carrillo de Gea, Christof Ebert, Mohamed Hosni, Aurora Vizcaíno, Joaquín Nicolás, José Luis Fernández-Alemán
2020 J jnl
A mapping study of ensemble classification methods in lung cancer decision support systems.
Medical Biol. Eng. Comput.
Mohamed Hosni, Ginés García-Mateos, Juan Manuel Carrillo de Gea, Ali Idri, José Luis Fernández-Alemán
2020 — conf
Impact of Threshold Values for Filter-based Univariate Feature Selection in Heart Disease Classification.
HEALTHINF
Houda Benhar, Ali Idri, Mohamed Hosni
2019 B conf
Analogy Software Effort Estimation Using Ensemble KNN Imputation.
SEAA
Ibtissam Abnane, Mohamed Hosni, Ali Idri, Alain Abran
2019 J jnl
Evaluating filter fuzzy analogy homogenous ensembles for software development effort estimation.
J. Softw. Evol. Process.
Mohamed Hosni, Ali Idri, Alain Abran
2019 — conf
Homogeneous and heterogeneous ensemble classification methods in diabetes disease: a review.
EMBC
José Luis Fernández-Alemán, Juan Manuel Carrillo de Gea, Mohamed Hosni, Ali Idri, Ginés García-Mateos
2019 — conf
Impact of Parameter Tuning on Machine Learning Based Breast Cancer Classification.
WorldCIST (3)
Ali Idri, Mohamed Hosni, Ibtissam Abnane, Juan Manuel Carrillo de Gea, José Luis Fernández-Alemán
2019 J jnl
Reviewing ensemble classification methods in breast cancer.
Comput. Methods Programs Biomed.
Mohamed Hosni, Ibtissam Abnane, Ali Idri, Juan Manuel Carrillo de Gea, José Luis Fernández-Alemán
2019 — conf
Using ensemble classification methods in lung cancer disease.
EMBC
Mohamed Hosni, Juan Manuel Carrillo de Gea, Ali Idri, José Luis Fernández-Alemán, José A. García-Berná
2018 C conf
Improved Effort Estimation of Heterogeneous Ensembles using Filter Feature Selection.
ICSOFT
Mohamed Hosni, Ali Idri, Alain Abran
2018 J jnl
On the value of parameter tuning in heterogeneous ensembles effort estimation.
Soft Comput.
Mohamed Hosni, Ali Idri, Alain Abran, Ali Bou Nassif
2018 C conf
Software Development Effort Estimation Using Feature Selection Techniques.
SoMeT
Mohamed Hosni, Ali Idri
2017 — conf
Investigating heterogeneous ensembles with filter feature selection for software effort estimation.
IWSM-Mensura
Mohamed Hosni, Ali Idri, Alain Abran
2017 Misc conf
Software effort estimation using classical analogy ensembles based on random subspace.
SAC
Mohamed Hosni, Ali Idri
2016 J jnl
Improved estimation of software development effort using Classical and Fuzzy Analogy ensembles.
Appl. Soft Comput.
Ali Idri, Mohamed Hosni, Alain Abran
2016 B conf
Systematic Mapping Study of Ensemble Effort Estimation.
ENASE
Ali Idri, Mohamed Hosni, Alain Abran
2016 J jnl
Systematic literature review of ensemble effort estimation.
J. Syst. Softw.
Ali Idri, Mohamed Hosni, Alain Abran