A Novel Distribution Analysis for SMOTE Oversampling Method in Handling Class Imbalance. - Dina Elreedy; Amir F. Atiya (ICCS (3), 2019)

A Novel Active Learning Regression Framework for Balancing the Exploration-Exploitation Trade-Off. - Dina Elreedy; Amir F. Atiya; Samir I. Shaheen (Entropy, 2019)

A Comprehensive Analysis of Synthetic Minority Oversampling Technique (SMOTE) for handling class imbalance. - Dina Elreedy; Amir F. Atiya (Inf. Sci., 2019)

A framework for an agent-based dynamic pricing for broadband wireless price rate plans. - Dina Elreedy; Amir F. Atiya; Hatem A. Fayed; Mohamed Saleh (J. Simulation, 2019)

Multi-Step Look-Ahead Optimization Methods for Dynamic Pricing With Demand Learning. - Dina Elreedy; Amir F. Atiya; Samir I. Shaheen (IEEE Access, 2021)

Novel pricing strategies for revenue maximization and demand learning using an exploration-exploitation framework. - Dina Elreedy; Amir F. Atiya; Samir I. Shaheen (Soft Comput., 2021)

Analysis on Tweets Towards COVID-19 Pandemic: An Application of Text-Based Depression Detection. - Abdelrahman Kaseb; Omar Galal; Dina Elreedy (NILES, 2022)

Partial Resampling of Imbalanced Data. - Firuz Kamalov; Amir F. Atiya; Dina Elreedy (CoRR, 2022)

Aggressive Driver Behavior Detection Using Multi-Label Classification. - Amira A. Amer; Dina Elreedy (IMCOM, 2024)

CIRA: Class imbalance resilient adaptive Gaussian process classifier. - Salma Abdelmonem; Dina Elreedy; Samir I. Shaheen (Knowl. Based Syst., 2024)

A theoretical distribution analysis of synthetic minority oversampling technique (SMOTE) for imbalanced learning. - Dina Elreedy; Amir F. Atiya; Firuz Kamalov (Mach. Learn., 2024)