Yehudit Aperstein

25 papers A 1Journal 23Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LLM-guided headline rewriting for clickability enhancement without clickbait. CoRR Yehudit Aperstein, Linoy Halifa, Sagiv Bar, Alexander Apartsin
2025	J	`jnl`	An Interpretable Benchmark for Clickbait Detection and Tactic Attribution. CoRR Lihi Nofar, Tomer Portal, Aviv Elbaz, Alexander Apartsin, Yehudit Aperstein
2025	J	`jnl`	Beyond Words: Interjection Classification for Improved Human-Computer Interaction. CoRR Yaniv Goren, Yuval Cohen, Alexander Apartsin, Yehudit Aperstein
2025	J	`jnl`	Boosted Training of Lightweight Early Exits for Optimizing CNN Image Classification Inference. CoRR Yehudit Aperstein, Alexander Apartsin
2025	J	`jnl`	Code Review Without Borders: Evaluating Synthetic vs. Real Data for Review Recommendation. CoRR Yogev Cohen, Dudi Ohayon, Romy Somkin, Yehudit Aperstein, Alexander Apartsin
2025	J	`jnl`	Deep active learning framework for chest-abdominal CT scans segmentation. Expert Syst. Appl. Lital Rokach, Yehudit Aperstein, Ayelet Akselrod-Ballin
2025	J	`jnl`	Do Large Language Models Need Intent? Revisiting Response Generation Strategies for Service Assistant. CoRR Inbal Bolshinsky, Shani Kupiec, Almog Sasson, Yehudit Aperstein, Alexander Apartsin
2025	J	`jnl`	Enhancing Classification of Streaming Data with Image Distillation. CoRR Rwad Khatib, Yehudit Aperstein
2025	J	`jnl`	Explainable Semantic Text Relations: A Question-Answering Framework for Comparing Document Content. Inf. Yehudit Aperstein, Alon Gottlib, Gal Benita, Alexander Apartsin
2025	J	`jnl`	From Fuzzy Speech to Medical Insight: Benchmarking LLMs on Noisy Patient Narratives. CoRR Eden Mama, Liel Sheri, Yehudit Aperstein, Alexander Apartsin
2025	J	`jnl`	From Joy to Fear: A Benchmark of Emotion Estimation in Pop Song Lyrics. CoRR Shay Dahary, Avi Edana, Alexander Apartsin, Yehudit Aperstein
2025	J	`jnl`	Improving Deep Tabular Learning. CoRR Sivan Sarafian, Yehudit Aperstein
2025	J	`jnl`	Multi-pathology Chest X-ray Classification with Rejection Mechanisms. CoRR Yehudit Aperstein, Amit Tzahar, Alon Gottlib, Tal Verber, Ravit Shagan Damti, Alexander Apartsin
2025	J	`jnl`	PTEENet: Post-Trained Early-Exit Neural Networks Augmentation for Inference Cost Optimization. CoRR Assaf Lahiany, Yehudit Aperstein
2025	J	`jnl`	Reading Between the Lines: Classifying Resume Seniority with Large Language Models. CoRR Matan Cohen, Shira Shani, Eden Menahem, Yehudit Aperstein, Alexander Apartsin
2025	J	`jnl`	Recognition of Abnormal Events in Surveillance Videos using Weakly Supervised Dual-Encoder Models. CoRR Noam Tsfaty, Avishai Weizman, Liav Cohen, Moshe Tshuva, Yehudit Aperstein
2025	J	`jnl`	Stitching the Story: Creating Panoramic Incident Summaries from Body-Worn Footage. CoRR Dor Cohen, Inga Efrosman, Yehudit Aperstein, Alexander Apartsin
2025	J	`jnl`	Towards Knowledge-Aware Document Systems: Modeling Semantic Coverage Relations via Answerability Detection. CoRR Yehudit Aperstein, Alon Gottlib, Gal Benita, Alexander Apartsin
2025	J	`jnl`	When Curiosity Signals Danger: Predicting Health Crises Through Online Medication Inquiries. CoRR Dvora Goncharok, Arbel Shifman, Alexander Apartsin, Yehudit Aperstein
2024	—	`conf`	Elucidation of Molecular Substructures from Nuclear Magnetic Resonance Spectra Using Gradient Boosting. ICANN (10) Josef Berman, Yehudit Aperstein, Abraham Yosipof
2024	J	`jnl`	XAI-Based Detection of Adversarial Attacks on Deepfake Detectors. CoRR Ben Pinhasov, Raz Lapid, Rony Ohayon, Moshe Sipper, Yehudit Aperstein
2024	J	`jnl`	XAI-Based Detection of Adversarial Attacks on Deepfake Detectors. Trans. Mach. Learn. Res. Ben Pinhasov, Raz Lapid, Rony Ohayon, Moshe Sipper, Yehudit Aperstein
2023	J	`jnl`	Offline Skill Graph (OSG): A Framework for Learning and Planning using Offline Reinforcement Learning Skills. CoRR Ben-ya Halevy, Yehudit Aperstein, Dotan Di Castro
2023	A	`conf`	Vibration-Based Estimation of Gearbox Operating Conditions: Machine Learning Approach. ICCAD G. Eli Morey, Michael G. Kawooya, Yehudit Aperstein, Igor Makienko
2022	J	`jnl`	PTEENet: Post-Trained Early-Exit Neural Networks Augmentation for Inference Cost Optimization. IEEE Access Assaf Lahiany, Yehudit Aperstein