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The mRMR variable selection method: a comparative study for functional data

The mRMR variable selection method: a comparative study for functional data

J. Berrendero
Antonio Cuevas
J. L. Torrecilla
ArXiv (abs)PDFHTML

Papers citing "The mRMR variable selection method: a comparative study for functional data"

5 / 5 papers shown
Title
Functional relevance based on the continuous Shapley value
Functional relevance based on the continuous Shapley value
Pedro Delicado
Cristian Pachón-García
TDI
117
0
0
27 Nov 2024
Rolling in the deep of cognitive and AI biases
Rolling in the deep of cognitive and AI biases
Athena Vakali
Nicoleta Tantalaki
51
2
0
30 Jul 2024
Functional Neural Networks: Shift invariant models for functional data with applications to EEG classification
Functional Neural Networks: Shift invariant models for functional data with applications to EEG classification
Florian Heinrichs
Mavin Heim
Corinna Weber
OOD
54
8
0
14 Jan 2023
scikit-fda: A Python Package for Functional Data Analysis
scikit-fda: A Python Package for Functional Data Analysis
Carlos Ramos-Carreño
J. L. Torrecilla
Miguel Carbajo-Berrocal
P. Marcos
A. Suárez
GPAI4CE
198
26
0
04 Nov 2022
On the use of reproducing kernel Hilbert spaces in functional classification
On the use of reproducing kernel Hilbert spaces in functional classification
J. Berrendero
Antonio Cuevas
J. L. Torrecilla
77
54
0
15 Jul 2015