5 citations · 5 across the 4 of their papers we have counts for
4 papers
EEG-FuseFormer: A Transformer-Driven Feature Fusion Framework for Seizure Onset Prediction
Vigneshwar Hariharan, Chithra Reghuvaran, Arlene John +4
Epilepsy is one of the most common neurological disorders globally, characterized by recurring seizures and significantly impacting the quality of life. Despite advancements in dia…
Analysis of Student-LLM Interaction in a Software Engineering Project
Agrawal Naman, Ridwan Shariffdeen, Guanlin Wang +2
Large Language Models (LLMs) are becoming increasingly competent across various domains, educators are showing a growing interest in integrating these LLMs into the learning proces…
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…
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…