A ResNet18 model classifies surface chirality from atomic models at ~73% accuracy and from Fermi surface projections at ~99% accuracy, transferring to experimental synchrotron images after fine-tuning on two frames.
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2 Pith papers cite this work. Polarity classification is still indexing.
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A method combining pretrained YOLO11, YOLOE-26, and Gaze-LLE models detects student gaze targets in collaborative learning videos with F1-score 0.829 without requiring labeled training data.
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Decoding Crystallographic Surface Chirality with Machine Learning: From Atomic Geometry to Fermi Surface Projections
A ResNet18 model classifies surface chirality from atomic models at ~73% accuracy and from Fermi surface projections at ~99% accuracy, transferring to experimental synchrotron images after fine-tuning on two frames.
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Gaze to Insight: A Scalable AI Approach for Detecting Gaze Behaviours in Face-to-Face Collaborative Learning
A method combining pretrained YOLO11, YOLOE-26, and Gaze-LLE models detects student gaze targets in collaborative learning videos with F1-score 0.829 without requiring labeled training data.