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2020 – today
- 2023
[j6]Gustavo Ulloa-Poblete, Héctor Allende-Cid, Alejandro Veloz, Héctor Allende:
Edges-enhanced Convolutional Neural Network for Multiple Sclerosis Lesions Segmentation. Computación y Sistemas (CyS) 27(1) (2023)- [c12]Alejandro Veloz, Wael El-Deredy, Alejandro J. Weinstein
, Juan Zamora, Claudio Moraga, Daniele Marinazzo:
Fuzzy deconvolution of neuronal events in Functional Magnetic Resonance Imaging. KES 2023: 3425-3431 - [c11]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
- [j5]Gastón Márquez, Alejandro Veloz, Jean-Gabriel Minonzio, Claudio Reyes, Esteban Calvo, Carla Taramasco:
Using Low-Resolution Non-Invasive Infrared Sensors to Classify Activities and Falls in Older Adults. Sensors 22(6): 2321 (2022) - [c10]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
- [j4]Alejandro Veloz, Claudio Moraga, Alejandro J. Weinstein, Luis Hernandez-Garcia, Stéren Chabert, Rodrigo Salas, Rodrigo Riveros, Carlos Bennett, Héctor Allende:
Fuzzy General Linear Modeling for Functional Magnetic Resonance Imaging Analysis. IEEE Trans. Fuzzy Syst. 28(1): 100-111 (2020) - [c9]Gustavo Ulloa, Alejandro Veloz, Héctor Allende-Cid, Héctor Allende:
Improving Multiple Sclerosis Lesion Boundaries Segmentation by Convolutional Neural Networks with Focal Learning. ICIAR (2) 2020: 182-192
2010 – 2019
- 2019
- [j3]Alejandro Veloz, Alejandro J. Weinstein, Stefan Pszczólkowski, Luis Hernandez-Garcia, Rodrigo Olivares, Roberto Muñoz, Carla Taramasco:
Ant Colony Clustering for ROI Identification in Functional Magnetic Resonance Imaging. Comput. Intell. Neurosci. 2019: 5259643:1-5259643:9 (2019) - 2018
- [c8]Sergio Campos, Alejandro Veloz, Héctor Allende:
An Out of Sample Version of the EM Algorithm for Imputing Missing Values in Classification. CIARP 2018: 194-202 - 2017
- [c7]Gonzalo Tapia, Matias Salinas, Jaime Plaza, Diego Mellado, Rodrigo Salas, Carolina Saavedra, Alejandro Veloz, Alexis Arriola, Juan Idiaquez, Antonio Glaría:
Photoplethysmogram Fits Finger Blood Pressure Waveform for non-Invasive and minimally-Intrusive Technologies - Evaluation of Derivative Approaches. BIOSIGNALS 2017: 155-162 - 2016
- [j2]Héctor Allende-Cid, Rodrigo Salas, Alejandro Veloz, Claudio Moraga, Héctor Allende:
SONFIS: Structure Identification and Modeling with a Self-Organizing Neuro-Fuzzy Inference System. Int. J. Comput. Intell. Syst. 9(3): 416-432 (2016) - [j1]Alejandro Veloz, Rodrigo Salas, Héctor Allende-Cid, Héctor Allende, Claudio Moraga:
Identification of Lags in Nonlinear Autoregressive Time Series Using a Flexible Fuzzy Model. Neural Process. Lett. 43(3): 641-666 (2016) - 2012
- [c6]Alejandro Veloz, Rodrigo Salas, Héctor Allende-Cid, Héctor Allende:
SIFAR: Self-Identification of Lags of an Autoregressive TSK-based Model. ISMVL 2012: 226-231 - 2010
- [c5]Ramiro Donoso, Alejandro Veloz, Héctor Allende:
Modified Expectation Maximization Algorithm for MRI Segmentation. CIARP 2010: 63-70 - [c4]Felipe Ramírez, Héctor Allende-Cid, Alejandro Veloz, Héctor Allende:
Neuro-fuzzy-based Arrhythmia Classification Using Heart Rate Variability Features. SCCC 2010: 205-211
2000 – 2009
- 2009
- [c3]Alejandro Veloz, Héctor Allende-Cid, Héctor Allende, Claudio Moraga, Rodrigo Salas:
A Flexible Neuro-Fuzzy Autoregressive Technique for Non-linear Time Series Forecasting. KES (1) 2009: 22-29 - 2008
- [c2]Héctor Allende-Cid, Alejandro Veloz, Rodrigo Salas, Stéren Chabert, Héctor Allende:
Self-Organizing Neuro-Fuzzy Inference System. CIARP 2008: 429-436 - 2007
- [c1]Alejandro Veloz, Stéren Chabert, Rodrigo Salas, Antonio Orellana, Juan Vielma:
Fuzzy Spatial Growing for Glioblastoma Multiforme Segmentation on Brain Magnetic Resonance Imaging. CIARP 2007: 861-870
Coauthor Index
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