10 citations · 13 across the 3 of their papers we have counts for
3 papers
Towards an Understanding and Explanation for Mixed-Initiative Artificial Scientific Text Detection
Luoxuan Weng, Minfeng Zhu, Kam Kwai Wong +5
Large language models (LLMs) have gained popularity in various fields for their exceptional capability of generating human-like text. Their potential misuse has raised social conce…
Autonomous Intelligent Navigation for Flexible Endoscopy Using Monocular Depth Guidance and 3-D Shape Planning
Yiang Lu, Ruofeng Wei, Bin Li +5
Recent advancements toward perception and decision-making of flexible endoscopes have shown great potential in computer-aided surgical interventions. However, owing to modeling unc…
Using Deep Learning with Large Aggregated Datasets for COVID-19 Classification from Cough
Esin Darici Haritaoglu, Nicholas Rasmussen, Daniel C. H. Tan +12
The Covid-19 pandemic has been one of the most devastating events in recent history, claiming the lives of more than 5 million people worldwide. Even with the worldwide distributio…