Sieve Bootstrap Prediction Intervals for Contamined BIP-ARMA Processes. - Gustavo Ulloa; Héctor Allende (SCCC, 2012)

Sieve Bootstrap Prediction Intervals for Contaminated Non-linear Processes. - Gustavo Ulloa; Héctor Allende-Cid; Héctor Allende (CIARP (1), 2013)

Robust Sieve bootstrap Prediction Intervals for contaminated Time Series. - Gustavo Ulloa; Héctor Allende-Cid; Héctor Allende (Int. J. Pattern Recognit. Artif. Intell., 2014)

Image Edge Detection Based on a Spatial Autoregressive Bootstrap Approach. - Gustavo Ulloa; Héctor Allende-Cid; Héctor Allende (CIARP, 2015)

Circular Non-uniform Sampling Patch Inputs for CNN Applied to Multiple Sclerosis Lesion Segmentation. - Gustavo Ulloa; Rodrigo Naranjo; Héctor Allende-Cid; Stéren Chabert; Héctor Allende (CIARP, 2018)

Improving Multiple Sclerosis Lesion Boundaries Segmentation by Convolutional Neural Networks with Focal Learning. - Gustavo Ulloa; Alejandro Veloz; Héctor Allende-Cid; Héctor Allende (ICIAR (2), 2020)

Efficient Methodology Based on Convolutional Neural Networks with Augmented Penalization on Hard-to-Classify Boundary Voxels on the Task of Brain Lesion Segmentation. - Gustavo Ulloa; Alejandro Veloz; Héctor Allende-Cid; Raúl Monge; Héctor Allende (MCPR, 2022)

Software Architecture Evaluation of a Machine Learning Enabled System: A Case Study. - Pablo Cruz; Gustavo Ulloa; Daniel San Martín; Alejandro Veloz (SCCC, 2023)