Listar por autor "Castro-Ospina A.E."
Mostrando ítems 21-32 de 32
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Multi-labeler classification using kernel representations and mixture of classifiers
Imbajoa-Ruiz D.E.; Gustin I.D.; Bolaños-Ledezma M.; Arciniegas-Mejía A.F.; Guasmayan-Guasmayan F.A.; Bravo-Montenegro M.J.; Castro-Ospina A.E.; Peluffo-Ordóñez D.H. (2017) -
Multiple kernel learning for spectral dimensionality reduction
Peluffo-Ordóñez D.H.; Castro-Ospina A.E.; Alvarado-Pérez J.C.; Revelo-Fuelagán E.J. (2015) -
Non-generalized Analysis of the Multimodal Signals for Emotion Recognition: Preliminary Results
Londoño-Delgado E.; Becerra M.A.; Duque-Mejía C.M.; Zapata J.C.; Mejía-Arboleda C.; Castro-Ospina A.E.; Peluffo-Ordóñez D.H. (2019) -
Odor pleasantness classification from electroencephalographic signals and emotional states
Becerra M.A.; Londoño-Delgado E.; Pelaez-Becerra S.M.; Serna-Guarín L.; Castro-Ospina A.E.; Marin-Castrillón D.; Peluffo-Ordóñez D.H. (2018) -
On the relationship between dimensionality reduction and spectral clustering from a kernel viewpoint
Peluffo-Ordóñez D.H.; Becerra M.A.; Castro-Ospina A.E.; Blanco-Valencia X.; Alvarado-Pérez J.C.; Therón R.; Anaya-Isaza A. (2016) -
On the spectral clustering for dynamic data
Peluffo-OrdÓÑez D.H.; Alvarado-PÉrez J.C.; Castro-Ospina A.E. (2015) -
Optimization of the university transportation by contraction hierarchies method and clustering algorithms
Herrera-Granda I.D.; Lorente-Leyva L.L.; Peluffo-Ordóñez D.H.; Valencia-Chapi R.M.; Montero-Santos Y.; Chicaiza-Vaca J.L.; Castro-Ospina A.E. (2018) -
P300 analysis based on time frequency decomposition methods for adhd discrimination in child population
Castro-Ospina A.E.; Duque-Munoz L.; Castellanos-Dominguez G. (2012) -
Protein fold families prediction based on graph representations and machine learning methods
Areiza-Laverde H.J.; Mercado-Diaz L.R.; Castro-Ospina A.E.; Jaramillo-Garzon J.A. (2016) -
Radiomics-based differentiation of pleomorphic adenomas and Warthin tumors of salivary glands
Areiza-Laverde H.J.; Malpica-González N.; Brea B.; Castro-Ospina A.E.; Díaz G.M. (2020) -
Two novel clustering performance measures based on coherence and relative assignments of clusters
Areiza-Laverde H.J.; Castro-Ospina A.E.; Rosero-Montalvo P.; Peluffo-Ordóñez D.H.; Rodríguez-Sotelo J.L.; Becerra-Botero M.A. (2017) -
Voice pathology detection using artificial neural networks and support vector machines powered by a multicriteria optimization algorithm
Areiza-Laverde H.J.; Castro-Ospina A.E.; Peluffo-Ordóñez D.H. (2018)