Nicholas Rasmussen

According to our database, Nicholas Rasmussen authored at least 8 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Robust and Clinically Reliable EEG Biomarkers: A Cross Population Framework for Generalizable Parkinson's Disease Detection.

Nicholas Rasmussen, Longwei Wang, Rodrigue Rizk, Md Rezwanul Akter Pallab, Samuel Stuwart, Martina Mancini, Arun Singh, KC Santosh

CoRR, April, 2026

Channel Selected Stratified Nested Cross Validation for Clinically Relevant EEG Based Parkinsons Disease Detection.

Nicholas Rasmussen, Rodrigue Rizk, Longwei Wang, Arun Singh, KC Santosh

CoRR, January, 2026

2025

Ecologically Valid Benchmarking and Adaptive Attention: Scalable Marine Bioacoustic Monitoring.

Nicholas Rasmussen, Rodrigue Rizk, Longwei Wang, KC Santosh

CoRR, September, 2025

2024

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., November, 2024

2023

Complex Clipping for Improved Generalization in Machine Learning.

Les Atlas, Nicholas Rasmussen, Felix Schwock, Mert Pilanci

CoRR, 2023

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

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

Cough Sound Analysis for the Evidence of Covid-19.

Nicholas Rasmussen, Daniel L. Elliott, Muntasir Mamun, KC Santosh

Proceedings of the Computer Vision and Machine Intelligence, 2022