116 citations · 157 across the 17 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.LG2023★ 1 cited
Classifying the evolution of COVID-19 severity on patients with combined dynamic Bayesian networks and neural networks
David Quesada, Pedro Larrañaga, Concha Bielza
When we face patients arriving to a hospital suffering from the effects of some illness, one of the main problems we can encounter is evaluating whether or not said patients are go…
stat.ML2023
Context-specific kernel-based hidden Markov model for time series analysis
Carlos Puerto-Santana, Concha Bielza, Pedro Larrañaga +1
Traditional hidden Markov models have been a useful tool to understand and model stochastic dynamic data; in the case of non-Gaussian data, models such as mixture of Gaussian hidde…