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Irene Epifanio

Showing results (1-10 of 14) with videos related to

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BMC Bioinformatics|May 4, 2017
Intervention in prediction measure: a new approach to assessing variable importance for random forestsIrene Epifanio
Gait & Posture|March 28, 2006
A simple model to analyze the effectiveness of linear time normalization to reduce variability in human movement analysisAlvaro Page, Irene Epifanio
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|February 5, 2008
A random set view of texture classificationIrene Epifanio, Guillermo Ayala
Plos One|November 25, 2024
Outlier detection of clustered functional data with image and signal processing applications by archetype analysisAleix Alcacer, Irene Epifanio
Statistics in Medicine|October 10, 2013
Hippocampal shape analysis in Alzheimer's disease using functional data analysisIrene Epifanio, Noelia Ventura-Campos
Data in Brief|October 5, 2020
A neuroimaging data set on problem solving in the case of the reversal error: Putamen dataLara Ferrando, Noelia Ventura-Campos, Irene Epifanio
IEEE Transactions on Pattern Analysis and Machine Intelligence|May 13, 2024
Biarchetype Analysis: Simultaneous Learning of Observations and Features Based on ExtremesAleix Alcacer, Irene Epifanio, Ximo Gual-Arnau
Scientific Reports|December 15, 2022
The underlying neural bases of the reversal error while solving algebraic word problemsNoelia Ventura-Campos, Lara Ferrando-Esteve, Irene Epifanio
Medical & Biological Engineering & Computing|April 9, 2008
Analysis of multiple waveforms by means of functional principal component analysis: normal versus pathological patterns in sit-to-stand movementIrene Epifanio, Carolina Avila, Alvaro Page, et al.
Plos Computational Biology|March 28, 2020
Ten Simple Rules for organizing a non-real-time web conferenceAna Arnal, Irene Epifanio, Pablo Gregori, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
BMC Bioinformatics|May 4, 2017
Intervention in prediction measure: a new approach to assessing variable importance for random forestsIrene Epifanio
Gait & Posture|March 28, 2006
A simple model to analyze the effectiveness of linear time normalization to reduce variability in human movement analysisAlvaro Page, Irene Epifanio
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|February 5, 2008
A random set view of texture classificationIrene Epifanio, Guillermo Ayala
Plos One|November 25, 2024
Outlier detection of clustered functional data with image and signal processing applications by archetype analysisAleix Alcacer, Irene Epifanio
Statistics in Medicine|October 10, 2013
Hippocampal shape analysis in Alzheimer's disease using functional data analysisIrene Epifanio, Noelia Ventura-Campos
Data in Brief|October 5, 2020
A neuroimaging data set on problem solving in the case of the reversal error: Putamen dataLara Ferrando, Noelia Ventura-Campos, Irene Epifanio
IEEE Transactions on Pattern Analysis and Machine Intelligence|May 13, 2024
Biarchetype Analysis: Simultaneous Learning of Observations and Features Based on ExtremesAleix Alcacer, Irene Epifanio, Ximo Gual-Arnau
Scientific Reports|December 15, 2022
The underlying neural bases of the reversal error while solving algebraic word problemsNoelia Ventura-Campos, Lara Ferrando-Esteve, Irene Epifanio
Medical & Biological Engineering & Computing|April 9, 2008
Analysis of multiple waveforms by means of functional principal component analysis: normal versus pathological patterns in sit-to-stand movementIrene Epifanio, Carolina Avila, Alvaro Page, et al.
Plos Computational Biology|March 28, 2020
Ten Simple Rules for organizing a non-real-time web conferenceAna Arnal, Irene Epifanio, Pablo Gregori, et al.
Pageof 2