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Andrés Marino Álvarez-Meza
Researcher at National University of Colombia
Publications - 99
Citations - 909
Andrés Marino Álvarez-Meza is an academic researcher from National University of Colombia. The author has contributed to research in topics: Kernel (statistics) & Kernel method. The author has an hindex of 11, co-authored 89 publications receiving 714 citations. Previous affiliations of Andrés Marino Álvarez-Meza include Technological University of Pereira.
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Journal ArticleDOI
Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge
Esther E. Bron,Marion Smits,Wiesje M. van der Flier,Hugo Vrenken,Frederik Barkhof,Philip Scheltens,Janne M. Papma,Rebecca M. E. Steketee,Carolina Méndez Orellana,Rozanna Meijboom,Madalena Pinto,Joana R. Meireles,Carolina Garrett,António J. Bastos-Leite,Ahmed Abdulkadir,Olaf Ronneberger,Nicola Amoroso,Roberto Bellotti,David Cárdenas-Peña,Andrés Marino Álvarez-Meza,Chester V. Dolph,Khan M. Iftekharuddin,Simon Fristed Eskildsen,Pierrick Coupé,Vladimir S. Fonov,Katja Franke,Christian Gaser,Christian Ledig,Ricardo Guerrero,Tong Tong,Katherine R. Gray,Elaheh Moradi,Jussi Tohka,Alexandre Routier,Stanley Durrleman,Alessia Sarica,Giuseppe Di Fatta,Francesco Sensi,Andrea Chincarini,Garry Smith,Zhivko Stoyanov,Lauge Sørensen,Mads Nielsen,Sabina Tangaro,Paolo Inglese,Christian Wachinger,Martin Reuter,John C. van Swieten,Wiro J. Niessen,Stefan Klein +49 more
TL;DR: A grand challenge to objectively compare algorithms based on a clinically representative multi-center data set of three diagnostic groups, finding the best performances were achieved using feature extraction based on voxel-based morphometry or a combination of features that included volume, cortical thickness, shape and intensity.
Journal ArticleDOI
Global and local choice of the number of nearest neighbors in locally linear embedding
Andrés Marino Álvarez-Meza,Juliana Valencia-Aguirre,Genaro Daza-Santacoloma,Germán Castellanos-Domínguez +3 more
TL;DR: A new method for automatically computing the number of neighbors in LLE by means of analyzing global and local properties of the embedding results, and a second strategy for choosing the parameter k, on manifolds where the density and the intrinsic dimensionality of the neighborhoods are changeful.
Journal ArticleDOI
Time-series discrimination using feature relevance analysis in motor imagery classification
TL;DR: Experimental results show that the proposed MIDFR algorithm allows improving detection of MI classification tasks, and the computed relevance on the EEG channels is in accordance with other clinical findings reported in the literature.
Journal Article
Automatic Selection of Acoustic and Non-linear Dynamic Features in Voice Signals for Hypernasality Detection
Juan Rafael Orozco-Arroyave,S. Murillo-Rendón,Andrés Marino Álvarez-Meza,Julián D. Arias-Londoño,Edilson Delgado-Trejos,Jesús Francisco Vargas-Bonilla,César Germán Castellanos-Domínguez +6 more
TL;DR: Nonlinear dynamic features are valuable tool for automatic detection of hypernasality; addtionally both feature selection techniques show stable and consistent results, achieving accuracy levels of up to 93.73%.
Book ChapterDOI
Unsupervised Kernel Function Building Using Maximization of Information Potential Variability
TL;DR: Results show that presented approach allows to compute RKHS’s favoring data groups separability, attaining suitable learning performances in comparison with state of the art algorithms.