23 citations · 34 across the 4 of their papers we have counts for
4 papers
Multivariable times series classification through an interpretable representation
Francisco J. Baldán, José M. Benítez
Multivariate time series classification is a task with increasing importance due to the proliferation of new problems in various fields (economy, health, energy, transport, crops,…
FSinR: an exhaustive package for feature selection
F. Aragón-Royón, A. Jiménez-Vílchez, A. Arauzo-Azofra +1
Feature Selection (FS) is a key task in Machine Learning. It consists in selecting a number of relevant variables for the model construction or data analysis. We present the R pack…
Complexity Measures and Features for Times Series classification
Francisco J. Baldán, José M. Benítez
Classification of time series is a growing problem in different disciplines due to the progressive digitalization of the world. Currently, the state-of-the-art in time series class…
Data-driven, structure-based hyperelastic manifolds: A macro-micro-macro approach
Victor Jesús Amores, José María Benítez, Francisco Javier Montáns
In this paper we introduce a novel approach to obtain the stored energy density of rubber-like materials directly from experimental data. The model is structure-based, in which the…