Glen Smith — accepted AI-conference papers

2026

STAND: Self-Aware Precondition Induction for Interactive Task Learning

Daniel Weitekamp, Glen Smith, Ken Koedinger, Christopher MacLellan

ICML 2026poster

In interactive task learning (ITL), AI agents learn new capabilities from limited human instruction provided during task execution. STAND is a new method of data-efficient rule precondition induction specifically designed for these human-in-the-loop training scenarios. A key feature of STAND is its …

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2023

MobilePTX: Sparse Coding for Pneumothorax Detection Given Limited Training Examples

Darryl Hannan, Steven C. Nesbit, Ximing Wen, Glen Smith, Qiao Zhang, Alberto Goffi +7

AAAI 2023technical

Point-of-Care Ultrasound (POCUS) refers to clinician-performed and interpreted ultrasonography at the patient's bedside. Interpreting these images requires a high level of expertise, which may not be available during emergencies. In this paper, we support POCUS by developing classifiers that can aid…

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