Homa Rashidisabet

According to our database, Homa Rashidisabet authored at least 4 papers between 2020 and 2025.

Collaborative distances:

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

2025

Targeted Unlearning Using Perturbed Sign Gradient Methods With Applications On Medical Images.

George R. Nahass, Zhu Wang, Homa Rashidisabet, Won Hwa Kim, Sasha Hubschman, Jeffrey C. Peterson, Ghasem Yazdanpanah, Chad A. Purnell, Pete Setabutr, Ann Q. Tran, Darvin Yi, Sathya N. Ravi

CoRR, May, 2025

Targeted Unlearning Using Perturbed Sign Gradient Methods With Applications On Medical Images.

George R. Nahass, Zhu Wang, Homa Rashidisabet, Won Hwa Kim, Sasha Hubschman, Jeffrey C. Peterson, Pete Setabutr, Chad A. Purnell, Ann Q. Tran, Darvin Yi, Sathya N. Ravi

Trans. Mach. Learn. Res., 2025

2024

Trends, Challenges, and Future Directions in Deep Learning for Glaucoma: A Systematic Review.

Mahtab Faraji, Homa Rashidisabet, George R. Nahass, RV Paul Chan, Thasarat S. Vajaranant, Darvin Yi

CoRR, 2024

2020

Effects of mood and aging on keystroke dynamics metadata and their diurnal patterns in a large open-science sample: A BiAffect iOS study.

Claudia Vesel, Homa Rashidisabet, John Zulueta, Jonathan P. Stange, Jennifer Duffecy, Faraz Hussain, Andrea Piscitello, John S. Bark, Scott A. Langenecker, Shannon Young, Erin Mounts, Larsson Omberg, Peter C. Nelson, Raeanne C. Moore, Dave Koziol, Keith Bourne, Casey C. Bennett, Olusola Ajilore, Alexander P. Demos, Alex D. Leow

J. Am. Medical Informatics Assoc., 2020