Listar por autor "Giraldo-Forero A.F."
Mostrando ítems 1-7 de 7
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A comparison of multi-label techniques based on problem transformation for protein functional prediction
Giraldo-Forero A.F.; Jaramillo-Garzon J.A.; Castellanos-Dominguez C.G. (2013) -
A methodology for optimizing the e-value threshold in alignment-based gene ontology prediction using the ROC curve
Burgos-Ocampo R.A.; Giraldo-Forero A.F.; Jaramillo-Garzón J.A.; Castellanos-Dominguez C.G. (2014) -
A Spatiotemporal Analysis of Taxis Demand: A Case Study in the Manizales City
Giraldo-Forero A.F.; Garcia-Lopez S.; Rodriguez-Marin P.A.; Martinez J.; Céspedes-Villar Y.R.; Cardona O.; Acosta J.C.; Trujillo L.C. (2019) -
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) -
Managing imbalanced data sets in multi-label problems: A case study with the SMOTE algorithm
Giraldo-Forero A.F.; Jaramillo-Garzón J.A.; Ruiz-Muñoz J.F.; Castellanos-Domínguez C.G. (2013) -
Multi-label learning by hyperparameters calibration for treating class imbalance
Giraldo-Forero A.F.; Cardona-Escobar A.F.; Castro-Ospina A.E. (2018) -
Predicting molecular functions in plants using wavelet-based motifs
Arango-Argoty G.; Giraldo-Forero A.F.; Jaramillo-Garzón J.A.; Duque-Munõz L.; Castellanos-Dominguez G. (2013)