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B. Dilkina

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Open access Sep 2026

Detecting short-term post-traumatic stress disorder symptom increases among veterans: machine-learning analysis integrating wearable sensor and daily self-report data

Background Post-traumatic stress disorder (PTSD) symptoms can fluctuate substantially over short periods, yet routine screening typically relies on infrequent self-report. Wearable sensors provide continuous behavioural and physiological signals that may help identify periods of elevated risk. Aims This study aimed to...

Daniel Leightley, John J. Prindle, Shaddy K. Saba et al. · 0 citations
Open access Aug 2026

ID-PaS+: Identity-Aware Predict-and-Search for Solving General Mixed-Integer Linear Programs

This work extends the current Predict-and-Search (PaS) framework to parametric general MIPs and introduces ID-PaS+, an identity-aware learning framework that enables the ML model to handle heterogeneous variables more effectively.

Junyang Cai, El Mehdi Er Raqabi, P. Van Hentenryck et al. · 0 citations
Jul 2026

FunL2O: LLM-Guided Feature Function Design for Learning to Optimize

This work introduces FunL2O, the first unified framework for automating feature design through LLM-driven program evolution for L2O, and establishes LLM-driven feature evolution as a general and effective approach to automating representation design in L2O.

Bingheng Li, Junyang Cai, Yupeng Zhang et al. · 0 citations

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