SurgAtlas is a new dataset of 15,291 surgical videos totaling 2,391 hours with multi-level annotations that supports finetuning models to competitive performance on surgical benchmarks.
Predicting financial distress of Chinese listed companies using machine learning: To what extent does textual disclosure matter? Int
2 Pith papers cite this work. Polarity classification is still indexing.
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AI adoption proxies from text and patents improve out-of-sample distress prediction in Chinese firms when machine learning models use temporally pruned recent training windows.
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SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery
SurgAtlas is a new dataset of 15,291 surgical videos totaling 2,391 hours with multi-level annotations that supports finetuning models to competitive performance on surgical benchmarks.
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Forecasting financial distress in dynamic environments AI adoption signals and temporally pruned training windows
AI adoption proxies from text and patents improve out-of-sample distress prediction in Chinese firms when machine learning models use temporally pruned recent training windows.