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Gustavo Ulloa
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2020 – today
- 2023
- [c7]Pablo Cruz, Gustavo Ulloa, Daniel San Martín
, Alejandro Veloz:
Software Architecture Evaluation of a Machine Learning Enabled System: A Case Study. SCCC 2023: 1-8 - 2022
- [c6]Gustavo Ulloa, Alejandro Veloz, Héctor Allende-Cid, Raúl Monge, Héctor Allende:
Efficient Methodology Based on Convolutional Neural Networks with Augmented Penalization on Hard-to-Classify Boundary Voxels on the Task of Brain Lesion Segmentation. MCPR 2022: 338-347 - 2020
- [c5]Gustavo Ulloa, Alejandro Veloz
Improving Multiple Sclerosis Lesion Boundaries Segmentation by Convolutional Neural Networks with Focal Learning. ICIAR (2) 2020: 182-192
2010 – 2019
- 2018
- [c4]Gustavo Ulloa, Rodrigo Naranjo, Héctor Allende-Cid, Stéren Chabert, Héctor Allende:
Circular Non-uniform Sampling Patch Inputs for CNN Applied to Multiple Sclerosis Lesion Segmentation. CIARP 2018: 673-680 - 2015
- [c3]Gustavo Ulloa, Héctor Allende-Cid, Héctor Allende:
Image Edge Detection Based on a Spatial Autoregressive Bootstrap Approach. CIARP 2015: 408-415 - 2014
- [j1]Gustavo Ulloa, Héctor Allende-Cid, Héctor Allende:
Robust Sieve bootstrap Prediction Intervals for contaminated Time Series. Int. J. Pattern Recognit. Artif. Intell. 28(7) (2014) - 2013
- [c2]Gustavo Ulloa, Héctor Allende-Cid, Héctor Allende:
Sieve Bootstrap Prediction Intervals for Contaminated Non-linear Processes. CIARP (1) 2013: 84-91 - 2012
- [c1]Gustavo Ulloa, Héctor Allende
Sieve Bootstrap Prediction Intervals for Contamined BIP-ARMA Processes. SCCC 2012: 241-244
Coauthor Index
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