PTEENet: Post-Trained Early-Exit Neural Networks Augmentation for Inference Cost Optimization. - Assaf Lahiany; Yehudit Aperstein (IEEE Access, 2022)

Vibration-Based Estimation of Gearbox Operating Conditions: Machine Learning Approach. - G. Eli Morey; Michael G. Kawooya; Yehudit Aperstein; Igor Makienko (ICCAD, 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)

Elucidation of Molecular Substructures from Nuclear Magnetic Resonance Spectra Using Gradient Boosting. - Josef Berman; Yehudit Aperstein; Abraham Yosipof (ICANN (10), 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)

Deep active learning framework for chest-abdominal CT scans segmentation. - Lital Rokach; Yehudit Aperstein; Ayelet Akselrod-Ballin (Expert Syst. Appl., 2025)