Listar por autor "Castro-Ospina A.E."
Mostrando ítems 1-20 de 32
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Adaptation and Recovery Stages for Case-Based Reasoning Systems Using Bayesian Estimation and Density Estimation with Nearest Neighbors
Bastidas Torres D.; Piñeros Rodriguez C.; Peluffo-Ordóñez D.H.; Blanco Valencia X.; Revelo-Fuelagán J.; Becerra M.A.; Castro-Ospina A.E.; Lorente-Leyva L.L. (2019) -
Analysis of motor imaginary BCI within multi-environment scenarios using a mixture of classifiers
Ortega-Adarme M.; Moreno-Revelo M.; Peluffo-Ordoñez D.H.; Marín Castrillon D.; Castro-Ospina A.E.; Becerra M.A. (2017) -
Automatic graph pruning based on kernel alignment for spectral clustering
Alvarez-Meza A.M.; Castro-Ospina A.E.; Castellanos-Dominguez G. (2016) -
Breast Lesion Discrimination Using Saliency Features from MRI Sequences and MKL-Based Classification
Areiza-Laverde H.J.; Duarte-Salazar C.A.; Hernández L.; Castro-Ospina A.E.; Díaz G.M. (2019) -
Cardiac Murmur Effects on Automatic Segmentation of ECG Signals for Biometric Identification: Preliminary Study
Duque-Mejía C.; Becerra M.A.; Zapata-Hernández C.; Mejia-Arboleda C.; Castro-Ospina A.E.; Delgado-Trejos E.; Peluffo-Ordóñez D.H.; Rosero-Montalvo P.; Revelo-Fuelagán J. (2019) -
Cardiac pulse modeling using a modified van der Pol oscillator and genetic algorithms
Lopez-Chamorro F.M.; Arciniegas-Mejia A.F.; Imbajoa-Ruiz D.E.; Rosero-Montalvo P.D.; García P.; Castro-Ospina A.E.; Acosta A.; Peluffo-Ordóñez D.H. (2018) -
Case-based reasoning systems for medical applications with improved adaptation and recovery stages
Blanco Valencia X.; Bastidas Torres D.; Piñeros Rodriguez C.; Peluffo-Ordóñez D.H.; Becerra M.A.; Castro-Ospina A.E. (2018) -
Developments on solutions of the normalized-cut-clustering problem without eigenvectors
Lorente-Leyva L.L.; Herrera-Granda I.D.; Rosero-Montalvo P.D.; Ponce-Guevara K.L.; Castro-Ospina A.E.; Becerra M.A.; Peluffo-Ordóñez D.H.; Rodríguez-Sotelo J.L. (2018) -
Efficient hyperparameter optimization in convolutional neural networks by learning curves prediction
Cardona-Escobar A.F.; Giraldo-Forero A.F.; Castro-Ospina A.E.; Jaramillo-Garzón J.A. (2018) -
Electroencephalographic signals and emotional states for tactile pleasantness classification
Becerra M.A.; Londoño-Delgado E.; Pelaez-Becerra S.M.; Castro-Ospina A.E.; Mejia-Arboleda C.; Durango J.; Peluffo-Ordóñez D.H. (2018) -
Exploration of characterization and classification techniques for movement identification from EMG signals: Preliminary results
Viveros-Melo A.; Lasso-Arciniegas L.; Salazar-Castro J.A.; Peluffo-Ordóñez D.H.; Becerra M.A.; Castro-Ospina A.E.; Revelo-Fuelagán E.J. (2018) -
Feature Extraction Analysis for Emotion Recognition from ICEEMD of Multimodal Physiological Signals
Gómez-Lara J.F.; Ordóñez-Bolaños O.A.; Becerra M.A.; Castro-Ospina A.E.; Mejía-Arboleda C.; Duque-Mejía C.; Rodriguez J.; Revelo-Fuelagán J.; Peluffo-Ordóñez D.H. (2019) -
Feature extraction schemes for BCI systems
Vega-Escobar L.; Castro-Ospina A.E.; Duque-Munoz L. (2015) -
Feature group selection using mkl penalized with ℓ1 -norm and svm as base learner
Areiza-Laverde H.J.; Díaz G.M.; Castro-Ospina A.E. (2018) -
Fingertips segmentation of thermal images and its potential use in hand thermoregulation analysis
Castro-Ospina A.E.; Correa-Mira A.M.; Herrera-Granda I.D.; Peluffo-Ordóñez D.H.; Fandiño-Toro H.A. (2018) -
Fusion of 3D Radiomic Features from Multiparametric Magnetic Resonance Images for Breast Cancer Risk Classification
Marín-Castrillón D.M.; Rincón J.S.; Castro-Ospina A.E.; Hernández L.; Díaz G.M. (2020) -
Individual finger movement recognition based on semg and classification techniques
Vega-Escobar L.S.; Castro-Ospina A.E.; Duque-Muñoz L. (2018) -
Machine learning methods for classifying mammographic regions using the wavelet transform and radiomic texture features
Rincón J.S.; Castro-Ospina A.E.; Narváez F.R.; Díaz G.M. (2019) -
Movement identification in emg signals using machine learning: A comparative study
Lasso-Arciniegas L.; Viveros-Melo A.; Salazar-Castro J.A.; Becerra M.A.; Castro-Ospina A.E.; Revelo-Fuelagán E.J.; Peluffo-Ordóñez D.H. (2018) -
Multi-label learning by hyperparameters calibration for treating class imbalance
Giraldo-Forero A.F.; Cardona-Escobar A.F.; Castro-Ospina A.E. (2018)