Elaheh Jafarigol

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 7

Top Topics

Learning Models

Prediction Model

Support Vector Machine

Imbalanced Data

Top Venues

SN Comput. Sci.

Comput. Manag. Sci.

Publications

Elaheh Jafarigol, Theodore B. Trafalis
A distributed approach to meteorological predictions: addressing data imbalance in precipitation prediction models through federated learning and GANs. Comput. Manag. Sci. 21 (1) (2024)
Elaheh Jafarigol, Theodore B. Trafalis, Talayeh Razzaghi, Mona Zamankhani
Exploring Machine Learning Models for Federated Learning: A Review of Approaches, Performance, and Limitations. CoRR (2023)
Elaheh Jafarigol, Theodore B. Trafalis
A Review of Machine Learning Techniques in Imbalanced Data and Future Trends. CoRR (2023)
Elaheh Jafarigol, Theodore B. Trafalis
The Paradox of Noise: An Empirical Study of Noise-Infusion Mechanisms to Improve Generalization, Stability, and Privacy in Federated Learning. CoRR (2023)
Elaheh Jafarigol, William Keely, Tess Hartog, Tom Welborn, Peyman Hekmatpour, Theodore B. Trafalis
Religious Affiliation in the Twenty-First Century: A Machine Learning Perspective on the World Value Survey. CoRR (2023)
Elaheh Jafarigol, Theodore B. Trafalis
A Distributed Approach to Meteorological Predictions: Addressing Data Imbalance in Precipitation Prediction Models through Federated Learning and GANs. CoRR (2023)
Elaheh Jafarigol, Theodore Trafalis
Imbalanced Learning with Parametric Linear Programming Support Vector Machine for Weather Data Application. SN Comput. Sci. 1 (6) (2020)