3 papers
quant-ph2026
Quantum Dynamic Time Warping for Multivariate Time Series Classification
Diego Alvarez-Estevez, Alejandro Mayorga-Redondo, Eduardo Mosqueira-Rey
Dynamic Time Warping (DTW) is a cornerstone for time series classification, but its reliance on Euclidean distances fails to capture latent cross-channel correlations in complex mu…
quant-ph2025
Performance Analysis of Quantum Support Vector Classifiers and Quantum Neural Networks
Tomás Villalba-Ferreiro, Eduardo Mosqueira-Rey, Diego Alvarez-Estevez
This study explores the performance of Quantum Support Vector Classifiers (QSVCs) and Quantum Neural Networks (QNNs) in comparison to classical models for machine learning tasks. B…
eess.SP2025
Multi-task deep-learning for sleep event detection and stage classification
Adriana Anido-Alonso, Diego Alvarez-Estevez
Polysomnographic sleep analysis is the standard clinical method to accurately diagnose and treat sleep disorders. It is an intricate process which involves the manual identificatio…