6 papers
Stochastic embeddings of dynamical phenomena through variational autoencoders
Constantino A. Garcia, Paulo Felix, Jesus M. Presedo +1
System identification in scenarios where the observed number of variables is less than the degrees of freedom in the dynamics is an important challenge. In this work we tackle this…
Construe: a software solution for the explanation-based interpretation of time series
Tomas Teijeiro, Paulo Felix
This paper presents a software implementation of a general framework for time series interpretation based on abductive reasoning. The software provides a data model and a set of al…
Abductive reasoning as the basis to reproduce expert criteria in ECG Atrial Fibrillation identification
Tomás Teijeiro, Constantino A. García, Daniel Castro +1
Objective: This work aims at providing a new method for the automatic detection of atrial fibrillation, other arrhythmia and noise on short single lead ECG signals, emphasizing the…
Arrhythmia Classification from the Abductive Interpretation of Short Single-Lead ECG Records
Tomás Teijeiro, Constantino A. García, Daniel Castro +1
In this work we propose a new method for the rhythm classification of short single-lead ECG records, using a set of high-level and clinically meaningful features provided by the ab…
Non-parametric Estimation of Stochastic Differential Equations with Sparse Gaussian Processes
Constantino A. García, Abraham Otero, Paulo Félix +2
The application of Stochastic Differential Equations (SDEs) to the analysis of temporal data has attracted increasing attention, due to their ability to describe complex dynamics w…
On the adoption of abductive reasoning for time series interpretation
Tomás Teijeiro, Paulo Félix
Time series interpretation aims to provide an explanation of what is observed in terms of its underlying processes. The present work is based on the assumption that the common clas…