Elaheh Jafarigol

According to our database, Elaheh Jafarigol authored at least 6 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A distributed approach to meteorological predictions: addressing data imbalance in precipitation prediction models through federated learning and GANs.

Elaheh Jafarigol, Theodore B. Trafalis

Comput. Manag. Sci., June, 2024

2023

Exploring Machine Learning Models for Federated Learning: A Review of Approaches, Performance, and Limitations.

Elaheh Jafarigol, Theodore B. Trafalis, Talayeh Razzaghi, Mona Zamankhani

CoRR, 2023

The Paradox of Noise: An Empirical Study of Noise-Infusion Mechanisms to Improve Generalization, Stability, and Privacy in Federated Learning.

Elaheh Jafarigol, Theodore B. Trafalis

CoRR, 2023

Religious Affiliation in the Twenty-First Century: A Machine Learning Perspective on the World Value Survey.

Elaheh Jafarigol, William Keely, Tess Hartog, Tom Welborn, Peyman Hekmatpour, Theodore B. Trafalis

CoRR, 2023

A Review of Machine Learning Techniques in Imbalanced Data and Future Trends.

Elaheh Jafarigol, Theodore B. Trafalis

CoRR, 2023

2020

Imbalanced Learning with Parametric Linear Programming Support Vector Machine for Weather Data Application.

Elaheh Jafarigol, Theodore B. Trafalis

SN Comput. Sci., 2020