8 citations · 9 across the 32 of their papers we have counts for
18 papers · 1 filter
Safety-oriented pedestrian trajectory prediction at urban intersections using time-to-collision and crossing-zone context
Erel Avineri, Yftach Gil, Yehudit Aperstein
Accurate pedestrian trajectory prediction is important for proactive road-safety applications, particularly at urban intersections where pedestrian motion is shaped by both vehicle…
Clinical Intent Extraction: A FHIR-Aligned Representation and the CIRCA Benchmark
Alexander Apartsin, Yehudit Aperstein
Prospective clinical actions, the follow-ups, orders, referrals, and instructions that deter-mine what happens to a patient next, are annotated today in thin fragments across incom…
The Joule Point: an Energy-Optimal Operating Point for AI Inference
Alexander Apartsin, Yehudit Aperstein
Data centers serving AI inference strive to maximize GPU utilization, running their cards at full power by default: this maximizes throughput and holds latencies down, but it is en…
Three Generations of Healthcare IT: From the Digital Record to the Computable Care Process
Alexander Apartsin, Yehudit Aperstein
Objective. Healthcare IT is usually organized by the technologies it adopts. We instead organize it by the unit of information a system makes computable, and describe a computation…
Modeling Normal Is All You Need: Joint Latent Clustering for Anomaly Detection in Multimodal Cyber-Physical Systems
Alexander Apartsin, Yehudit Aperstein
A cyber-physical system (CPS) can enter a faulty state that is individually normal on every sensor and reconstructs accurately, yet is improbable under normal joint operation. This…
Clinical Communication Processing with Models Trained on LLM-Generated Synthetic Data: A Structured Survey and Novel Application Case Studies
Alexander Apartsin, Yehudit Aperstein
Much clinical value is conveyed not through structured records but through communication: exchanges in which patients describe symptoms, clinicians reason and give instructions, am…
UAV-Based Environmental Monitoring of Rip-Current Indicators Using Wavelet-Derived Texture Features
Yonatan Ben Avraham, Baruch Binyaminov, Yehudit Aperstein
Rip currents are recurrent coastal natural hazards that threaten beachgoers and create operational challenges for lifeguards and coastal managers. Reliable monitoring from standard…
Framing, Judging, Steering: An Assessable Competency Model for Teach-ing Students to Reason With Generative AI
Alexander Apartsin, Yehudit Aperstein
Generative AI makes answers easy and understanding hard, and uncritical use invites cognitive offloading. Schools still measure unaided performance, yet the real task is to produce…
CoEval: Ranking Language Models for Custom Tasks Without Labeled Data or Trustworthy Benchmarks
Alexander Apartsin, Yehudit Aperstein
Selecting a pretrained language model, or evaluating a fine-tuned one, for a specific application is a high-value decision, yet the public benchmarks used to make it are poorly sui…
Reliable Extraction of Clinical Follow-Up Instructions: A Hybrid Neural-Symbolic Pipeline
Michal Laufer, Yehudit Aperstein, Alexander Apartsin
Objective. Outpatient notes carry follow-up instructions pairing actions with future times ("MRI brain in two weeks"). Extracting (action, date) pairs supports scheduling and audit…
Toward a Benchmark for Controllable Simulation of Imperfect Students with Large Language Models
Alexander Apartsin, Omri Sason, Yehudit Aperstein
Teacher education requires deliberate practice with learners who exhibit identifiable strengths, weaknesses, and partial mastery. Large language models could support such practice…
Acting on the Unseen: Communication-Free Collaborative Filtering for Decentralized Multi-Robot Task Allocation
Alexander Apartsin, Yigal Meshulam, Yehudit Aperstein
Multi-robot task allocation usually assumes some combination of communication, known task models, or a coordinator. We study the opposite extreme, a regime common in practice but o…
A Controlled Synthetic Benchmark for Educational Aspect-Based Sentiment Analysis
Yehudit Aperstein, Alexander Apartsin
Educational aspect-based sentiment analysis (ABSA) can support course improvement, but public aspect-labeled student feedback remains scarce because educational reviews are private…
Domain-Gated Latent Diffusion: Generative Inverse Design of HMX-Class Energetic Materials with First-Principles Validation
Yehudit Aperstein, Alexander Apartsin
Energetic materials power mining, demolition, propulsion and airbags, yet today's compounds were designed decades ago. A successor must combine high energy release, low sensitivity…
IRC-Bench: Recognizing Entities from Contextual Cues in First-Person Reminiscences
Yehudit Aperstein, Eden Moran, Alexander Apartsin
When people recount personal memories, they often refer to people, places, and events indirectly, relying on con-textual cues rather than explicit names. Such implicit references a…
Mapping License Plate Recoverability Under Extreme Viewing Angles for Opportunistic Urban Sensing
Igor Adamenko, Orpaz Ben Aharon, Yehudit Aperstein +1
Urban environments contain many imaging sensors built for specific purposes, including ATM, body-worn, CCTV, and dashboard cameras. Under the opportunistic sensing paradigm, these…
SeaAlert: Robust Severity Classification and LLM-Based Information Extraction for Noisy Maritime Distress Communications
Tomer Atia, Yehudit Aperstein, Alexander Apartsin
Maritime distress communications transmitted over very high frequency (VHF) radio are safety-critical voice messages used to report emergencies at sea. Under the Global Maritime Di…
LLM-guided headline rewriting for clickability enhancement without clickbait
Yehudit Aperstein, Linoy Halifa, Sagiv Bar +1
Enhancing reader engagement while preserving informational fidelity is a central challenge in controllable text generation for news media. Optimizing news headlines for reader enga…