Cough Sound Analysis for the Evidence of Covid-19. - Nicholas Rasmussen; Daniel L. Elliott; Muntasir Mamun; KC Santosh (CVMI, 2022)

Using Deep Learning with Large Aggregated Datasets for COVID-19 Classification from Cough. - Esin Darici; Nicholas Rasmussen; J. Jennifer Ranjani; Jaclyn Xiao; Gunvant R. Chaudhari; Akanksha Rajput; Praveen Govindan; Minami Yamaura; Laura Gomezjurado; Amil Khanzada; Mert Pilanci (CoRR, 2022)

A systematic review on cough sound analysis for Covid-19 diagnosis and screening: is my cough sound COVID-19? - KC Santosh; Nicholas Rasmussen; Muntasir Mamun; Sunil Aryal (PeerJ Comput. Sci., 2022)

Complex Clipping for Improved Generalization in Machine Learning. - Les Atlas; Nicholas Rasmussen; Felix Schwock; Mert Pilanci (CoRR, 2023)

DeepWhaleNet: Climate Change-Aware FFT-Based Deep Neural Network for Passive Acoustic Monitoring. - Nicholas Rasmussen; Rodrigue Rizk; Omera Matoo; KC Santosh (Int. J. Pattern Recognit. Artif. Intell., 2024)