41 citations · 60 across the 6 of their papers we have counts for
6 papers
Bayesian Nonparametric Dynamical Clustering of Time Series
Adrián Pérez-Herrero, Paulo Félix, Jesús Presedo +1
We present a method that models the evolution of an unbounded number of time series clusters by switching among an unknown number of regimes with linear dynamics. We develop a Baye…
Parameterization of state duration in Hidden semi-Markov Models: an application in electrocardiography
Adrián Pérez Herrero, Paulo Félix Lamas, Jesús María Rodríguez Presedo
This work aims at providing a new model for time series classification based on learning from just one example. We assume that time series can be well characterized as a parametric…
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…
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…
Using temporal abduction for biosignal interpretation: A case study on QRS detection
Tomás Teijeiro, Paulo Félix, Jesús Presedo
In this work, we propose an abductive framework for biosignal interpretation, based on the concept of Temporal Abstraction Patterns. A temporal abstraction pattern defines an abstr…
A method for context-based adaptive QRS clustering in real-time
Daniel Castro, Paulo Félix, Jesús Presedo
Continuous follow-up of heart condition through long-term electrocardiogram monitoring is an invaluable tool for diagnosing some cardiac arrhythmias. In such context, providing too…