30 citations · 32 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
Benchmarking quantum machine learning kernel training for classification tasks
Diego Alvarez-Estevez
Quantum-enhanced machine learning is a rapidly evolving field that aims to leverage the unique properties of quantum mechanics to enhance classical machine learning. However, the p…