9 citations · 10 across the 5 of their papers we have counts for
5 papers
Cross-View Attention Fusion Net: A Prior-Guided Dual-View Representation Learning for Cardiac Output Estimation from Short-Term PPG Signals
Yaowen Zhang, Bo Cui, Libera Fresiello +3
Accurate cardiac output (CO) estimation from photoplethysmography (PPG) is promising for unobtrusive hemodynamic monitoring, but remains difficult since CO is jointly determined by…
Multivariate Intrinsic Local Polynomial Regression on Isometric Riemannian Manifolds: Applications to Positive Definite Data
Ronaldo García Reyes, Ying Wang, Min Li +4
The paper introduces a novel non-parametric Riemannian regression method using Isometric Riemannian Manifolds (IRMs). The proposed technique, Intrinsic Local Polynomial Regression…
FKreg: A MATLAB toolbox for fast Multivariate Kernel Regression
Ying Wang, Min Li, Deirel Paz-Linares +2
Kernel smooth is the most fundamental technique for data density and regression estimation. However, time-consuming is the biggest obstacle for the application that the direct eval…
Accurate and efficient Simulation of very high-dimensional Neural Mass Models with distributed-delay Connectome Tensors
A. González-Mitjans, D. Paz-Linares, A. Areces-Gonzalez +4
This paper introduces methods and a novel toolbox that efficiently integrates any high-dimensional Neural Mass Models (NMMs) specified by two essential components. The first is the…
Identification of oscillatory brain networks with Hidden Gaussian Graphical Spectral models of EEG/MEG
Deirel Paz-Linares, Eduardo Gonzalez-Moreira, Ariosky Areces-Gonzalez +7
Identifying the functional networks underpinning indirectly observed processes poses an inverse problem for neurosciences or other fields. A solution of such inverse problems estim…