Search Results for author: Ganesh Neelakanta Iyer

Found 2 papers, 1 papers with code

An Empirical Study on Usage and Perceptions of LLMs in a Software Engineering Project

1 code implementation29 Jan 2024 Sanka Rasnayaka, Guanlin Wang, Ridwan Shariffdeen, Ganesh Neelakanta Iyer

Large Language Models (LLMs) represent a leap in artificial intelligence, excelling in tasks using human language(s).

Code Generation

Unsupervised Pre-Training Using Masked Autoencoders for ECG Analysis

no code implementations17 Oct 2023 Guoxin Wang, Qingyuan Wang, Ganesh Neelakanta Iyer, Avishek Nag, Deepu John

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 natural language processing tasks.

Unsupervised Pre-training

Cannot find the paper you are looking for? You can Submit a new open access paper.