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Mohamed Hosni
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Other persons with a similar name
- Mohamed Hosni Mohamed Ali
- Salma Hosni Emam Mohamed Elmalaki (aka: Salma Elmalaki 0001) — University of California, Los Angeles, USA
- Mohamed I. Hosni
- Mostafa Hosni Mohamed
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2020 – today
- 2024
- [j12]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): 30-37 (2024) - [c20]Ibtissam Medarhri, Mohamed Hosni, Mohamed Ettalhaoui, Zakaria Belhaj, Rabie Zine:
Reviewing Machine Learning Techniques in Credit Card Fraud Detection. KDIR 2024: 179-187 - [c19]Mohamed Hosni:
Comparative Analysis of Single and Ensemble Support Vector Regression Methods for Software Development Effort Estimation. KDIR 2024: 509-516 - [c18]Mohamed Hosni, Ibtissam Medarhri, Juan Manuel Carrillo de Gea:
Software Testing Effort Estimation Based on Machine Learning Techniques: Single and Ensemble Methods. KDIR 2024: 517-524 - 2023
- [c17]Mohamed Hosni:
On the Value of Combiners in Heterogeneous Ensemble Effort Estimation. KDIR 2023: 153-163 - [c16]Mohamed Hosni:
Encoding Techniques for Handling Categorical Data in Machine Learning-Based Software Development Effort Estimation. KDIR 2023: 460-467 - [c15]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: 121-130 - 2022
- [j11]Houda Benhar, Mohamed Hosni, Ali Idri:
Univariate and Multivariate Filter Feature Selection for Heart Disease Classification. J. Inf. Sci. Eng. 38(4): 791-803 (2022) - [c14]Houda Benhar, Ali Idri, Mohamed Hosni:
Ensemble Feature Selection for Heart Disease Classification. HEALTHINF 2022: 369-376 - 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]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): 50-77 (2021) - [j8]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) - [j7]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): 17-24 (2021) - [c13]Bouchra El Ouassif, Ali Idri, Mohamed Hosni:
Homogeneous Ensemble based Support Vector Machine in Breast Cancer Diagnosis. HEALTHINF 2021: 352-360 - [c12]Bouchra El Ouassif, Ali Idri, Mohamed Hosni:
Investigating Accuracy and Diversity in Heterogeneous Ensembles for Breast Cancer Classification. ICCSA (2) 2021: 263-281 - [c11]Ibtissam Abnane, Ali Idri, Mohamed Hosni, Alain Abran:
Heterogeneous ensemble imputation for software development effort estimation. PROMISE 2021: 1-10 - 2020
- [j6]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): 2177-2193 (2020) - [c10]Houda Benhar, Ali Idri, Mohamed Hosni:
Impact of Threshold Values for Filter-based Univariate Feature Selection in Heart Disease Classification. HEALTHINF 2020: 391-398
2010 – 2019
- 2019
- [j5]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) - [j4]Mohamed Hosni, Ali Idri, Alain Abran:
Evaluating filter fuzzy analogy homogenous ensembles for software development effort estimation. J. Softw. Evol. Process. 31(2) (2019) - [c9]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: 1367-1370 - [c8]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: 3956-3959 - [c7]Ibtissam Abnane, Mohamed Hosni, Ali Idri, Alain Abran:
Analogy Software Effort Estimation Using Ensemble KNN Imputation. SEAA 2019: 228-235 - [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]Mohamed Hosni, Ali Idri, Alain Abran, Ali Bou Nassif:
On the value of parameter tuning in heterogeneous ensembles effort estimation. Soft Comput. 22(18): 5977-6010 (2018) - [c5]Mohamed Hosni, Ali Idri, Alain Abran:
Improved Effort Estimation of Heterogeneous Ensembles using Filter Feature Selection. ICSOFT 2018: 439-446 - [c4]Mohamed Hosni, Ali Idri:
Software Development Effort Estimation Using Feature Selection Techniques. SoMeT 2018: 439-452 - 2017
- [c3]Mohamed Hosni, Ali Idri, Alain Abran:
Investigating heterogeneous ensembles with filter feature selection for software effort estimation. IWSM-Mensura 2017: 207-220 - [c2]Mohamed Hosni, Ali Idri:
Software effort estimation using classical analogy ensembles based on random subspace. SAC 2017: 1251-1258 - 2016
- [j2]Ali Idri, Mohamed Hosni, Alain Abran:
Improved estimation of software development effort using Classical and Fuzzy Analogy ensembles. Appl. Soft Comput. 49: 990-1019 (2016) - [j1]Ali Idri, Mohamed Hosni, Alain Abran:
Systematic literature review of ensemble effort estimation. J. Syst. Softw. 118: 151-175 (2016) - [c1]Ali Idri, Mohamed Hosni, Alain Abran:
Systematic Mapping Study of Ensemble Effort Estimation. ENASE 2016: 132-139
Coauthor Index
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last updated on 2025-01-09 13:16 CET by the dblp team
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