| 2024 | IC3K | Comparative Analysis of Single and Ensemble Support Vector Regression Methods for Software Development Effort Estimation. | Mohamed Hosni |
| 2024 | IC3K | Software Testing Effort Estimation Based on Machine Learning Techniques: Single and Ensemble Methods. | Mohamed Hosni, Ibtissam Medarhri, Juan Manuel Carrillo de Gea |
| 2024 | IC3K | Reviewing Machine Learning Techniques in Credit Card Fraud Detection. | Ibtissam Medarhri, Mohamed Hosni, Mohamed Ettalhaoui, Zakaria Belhaj, Rabie Zine |
| 2023 | IC3K | On the Value of Combiners in Heterogeneous Ensemble Effort Estimation. | Mohamed Hosni |
| 2023 | IC3K | Encoding Techniques for Handling Categorical Data in Machine Learning-Based Software Development Effort Estimation. | Mohamed Hosni |
| 2023 | WorldCIST | 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 |
| 2021 | ICCSA | Investigating Accuracy and Diversity in Heterogeneous Ensembles for Breast Cancer Classification. | Bouchra El Ouassif, Ali Idri, Mohamed Hosni |
| 2019 | WorldCIST | Impact of Parameter Tuning on Machine Learning Based Breast Cancer Classification. | Ali Idri, Mohamed Hosni, Ibtissam Abnane, Juan Manuel Carrillo de Gea, Jos Luis Fernndez-Alemn |
| 2018 | ICSoft | Improved Effort Estimation of Heterogeneous Ensembles using Filter Feature Selection. | Mohamed Hosni, Ali Idri, Alain Abran |
| 2018 | SoMeT | Software Development Effort Estimation Using Feature Selection Techniques. | Mohamed Hosni, Ali Idri |
| 2017 | SAC | Software effort estimation using classical analogy ensembles based on random subspace. | Mohamed Hosni, Ali Idri |
| 2016 | ENASE | Systematic Mapping Study of Ensemble Effort Estimation. | Ali Idri, Mohamed Hosni, Alain Abran |