Yehudit Aperstein

According to our database, Yehudit Aperstein authored at least 6 papers between 2022 and 2025.

Collaborative distances:

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

2025

Deep active learning framework for chest-abdominal CT scans segmentation.

Lital Rokach, Yehudit Aperstein, Ayelet Akselrod-Ballin

Expert Syst. Appl., 2025

2024

XAI-Based Detection of Adversarial Attacks on Deepfake Detectors.

Ben Pinhasov, Raz Lapid, Rony Ohayon, Moshe Sipper, Yehudit Aperstein

Trans. Mach. Learn. Res., 2024

Elucidation of Molecular Substructures from Nuclear Magnetic Resonance Spectra Using Gradient Boosting.

Josef Berman, Yehudit Aperstein, Abraham Yosipof

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023

Offline Skill Graph (OSG): A Framework for Learning and Planning using Offline Reinforcement Learning Skills.

Ben-ya Halevy, Yehudit Aperstein, Dotan Di Castro

CoRR, 2023

Vibration-Based Estimation of Gearbox Operating Conditions: Machine Learning Approach.

G. Eli Morey, Michael G. Kawooya, Yehudit Aperstein, Igor Makienko

Proceedings of the International Conference on Control, Automation and Diagnosis, 2023

2022

PTEENet: Post-Trained Early-Exit Neural Networks Augmentation for Inference Cost Optimization.

Assaf Lahiany, Yehudit Aperstein

IEEE Access, 2022