5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.SE2024★ 5 cited
An Empirical Study on Usage and Perceptions of LLMs in a Software Engineering Project
Sanka Rasnayaka, Guanlin Wang, Ridwan Shariffdeen +1
Large Language Models (LLMs) represent a leap in artificial intelligence, excelling in tasks using human language(s). Although the main focus of general-purpose LLMs is not code ge…
cs.CV2023
Unsupervised Pre-Training Using Masked Autoencoders for ECG Analysis
Guoxin Wang, Qingyuan Wang, Ganesh Neelakanta Iyer +2
Unsupervised learning methods have become increasingly important in deep learning due to their demonstrated large utilization of datasets and higher accuracy in computer vision and…