Yehudit Aperstein

According to our database, Yehudit Aperstein authored at least 31 papers between 2022 and 2026.

Collaborative distances:

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

2026

Reliable Extraction of Clinical Follow-Up Instructions: A Hybrid Neural-Symbolic Pipeline.

Michal Laufer, Yehudit Aperstein, Alexander Apartsin

CoRR, May, 2026

DGLD: Domain-Gated Latent Diffusion for the Discovery of Novel Energetic Materials.

Yehudit Aperstein, Alexander Apartsin

CoRR, May, 2026

Toward a Benchmark for Controllable Simulation of Imperfect Students with Large Language Models.

Alexander Apartsin, Omri Sason, Yehudit Aperstein

CoRR, May, 2026

Acting on the Unseen: Communication-Free Collaborative Filtering for Decentralized Multi-Robot Task Allocation.

Alexander Apartsin, Yigal Meshulam, Yehudit Aperstein

CoRR, May, 2026

A Controlled Synthetic Benchmark for Educational Aspect-Based Sentiment Analysis.

Yehudit Aperstein, Alexander Apartsin

CoRR, May, 2026

IRC-Bench: Recognizing Entities from Contextual Cues in First-Person Reminiscences.

Yehudit Aperstein, Eden Moran, Alexander Apartsin

CoRR, May, 2026

Mapping License Plate Recoverability Under Extreme Viewing Angles for Oppor-tunistic Urban Sensing.

Igor Adamenko, Orpaz Ben Aharon, Yehudit Aperstein, Alexander Apartsin

CoRR, April, 2026

SeaAlert: Critical Information Extraction From Maritime Distress Communications with Large Language Models.

Tomer Atia, Yehudit Aperstein, Alexander Apartsin

CoRR, April, 2026

LLM-guided headline rewriting for clickability enhancement without clickbait.

Yehudit Aperstein, Linoy Halifa, Sagiv Bar, Alexander Apartsin

CoRR, March, 2026

2025

Recognition of Abnormal Events in Surveillance Videos using Weakly Supervised Dual-Encoder Models.

Noam Tsfaty, Avishai Weizman, Liav Cohen, Moshe Tshuva, Yehudit Aperstein

CoRR, November, 2025

Improving Deep Tabular Learning.

Sivan Sarafian, Yehudit Aperstein

CoRR, September, 2025

From Fuzzy Speech to Medical Insight: Benchmarking LLMs on Noisy Patient Narratives.

Eden Mama, Liel Sheri, Yehudit Aperstein, Alexander Apartsin

CoRR, September, 2025

When Curiosity Signals Danger: Predicting Health Crises Through Online Medication Inquiries.

Dvora Goncharok, Arbel Shifman, Alexander Apartsin, Yehudit Aperstein

CoRR, September, 2025

An Interpretable Benchmark for Clickbait Detection and Tactic Attribution.

Lihi Nofar, Tomer Portal, Aviv Elbaz, Alexander Apartsin, Yehudit Aperstein

CoRR, September, 2025

Multi-pathology Chest X-ray Classification with Rejection Mechanisms.

Yehudit Aperstein, Amit Tzahar, Alon Gottlib, Tal Verber, Ravit Shagan Damti, Alexander Apartsin

CoRR, September, 2025

Reading Between the Lines: Classifying Resume Seniority with Large Language Models.

Matan Cohen, Shira Shani, Eden Menahem, Yehudit Aperstein, Alexander Apartsin

CoRR, September, 2025

Boosted Training of Lightweight Early Exits for Optimizing CNN Image Classification Inference.

Yehudit Aperstein, Alexander Apartsin

CoRR, September, 2025

Towards Knowledge-Aware Document Systems: Modeling Semantic Coverage Relations via Answerability Detection.

Yehudit Aperstein, Alon Gottlib, Gal Benita, Alexander Apartsin

CoRR, September, 2025

Enhancing Classification of Streaming Data with Image Distillation.

Rwad Khatib, Yehudit Aperstein

CoRR, September, 2025

From Joy to Fear: A Benchmark of Emotion Estimation in Pop Song Lyrics.

Shay Dahary, Avi Edana, Alexander Apartsin, Yehudit Aperstein

CoRR, September, 2025

Do Large Language Models Need Intent? Revisiting Response Generation Strategies for Service Assistant.

Inbal Bolshinsky, Shani Kupiec, Almog Sasson, Yehudit Aperstein, Alexander Apartsin

CoRR, September, 2025

Code Review Without Borders: Evaluating Synthetic vs. Real Data for Review Recommendation.

Yogev Cohen, Dudi Ohayon, Romy Somkin, Yehudit Aperstein, Alexander Apartsin

CoRR, September, 2025

Stitching the Story: Creating Panoramic Incident Summaries from Body-Worn Footage.

Dor Cohen, Inga Efrosman, Yehudit Aperstein, Alexander Apartsin

CoRR, September, 2025

Beyond Words: Interjection Classification for Improved Human-Computer Interaction.

Yaniv Goren, Yuval Cohen, Alexander Apartsin, Yehudit Aperstein

CoRR, September, 2025

Explainable Semantic Text Relations: A Question-Answering Framework for Comparing Document Content.

Yehudit Aperstein, Alon Gottlib, Gal Benita, Alexander Apartsin

Inf., 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