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cs.LG2024
Generalising realisability in statistical learning theory under epistemic uncertainty
Fabio Cuzzolin
The purpose of this paper is to look into how central notions in statistical learning theory, such as realisability, generalise under the assumption that train and test distributio…
cs.LG2022★ 4 cited
Identification of Cognitive Workload during Surgical Tasks with Multimodal Deep Learning
Kaizhe Jin, Adrian Rubio-Solis, Ravi Naik +8
The operating room (OR) is a dynamic and complex environment consisting of a multidisciplinary team working together in a high take environment to provide safe and efficient patien…