Listar por autor "Cardona-Escobar A.F."
Mostrando ítems 1-5 de 5
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A methodology for the prediction of Embryophyta protein functions using mismatch kernels
Cardona-Escobar A.F.; Pineda-Iral J.C.; Guarnizo-Cutiva N.; Jaramillo-Garzón J.A. (2015) -
Deep convolutional neural networks and power spectral density features for motor imagery classification of EEG signals
Pérez-Zapata A.F.; Cardona-Escobar A.F.; Jaramillo-Garzón J.A.; Díaz G.M. (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) -
Machine learning based protein-protein interaction prediction using physical-chemical representations
Arango-Rodriguez J.D.; Cardona-Escobar A.F.; Jaramillo-Garzon J.A.; Arroyave-Ospina J.C. (2016) -
Multi-label learning by hyperparameters calibration for treating class imbalance
Giraldo-Forero A.F.; Cardona-Escobar A.F.; Castro-Ospina A.E. (2018)