Alejandro Veloz

18 papers B 1C 4Journal 6Unranked 7
YearRankTypeTitle / Venue / Authors
2023 J jnl
Edges-enhanced Convolutional Neural Network for Multiple Sclerosis Lesions Segmentation.
Computación y Sistemas (CyS)
Gustavo Ulloa-Poblete, Héctor Allende-Cid, Alejandro Veloz, Héctor Allende
2023 B conf
Fuzzy deconvolution of neuronal events in Functional Magnetic Resonance Imaging.
KES
Alejandro Veloz, Wael El-Deredy, Alejandro J. Weinstein, Juan Zamora, Claudio Moraga, Daniele Marinazzo
2023 — conf
Software Architecture Evaluation of a Machine Learning Enabled System: A Case Study.
SCCC
Pablo Cruz, Gustavo Ulloa, Daniel San Martín, Alejandro Veloz
2022 — conf
Efficient Methodology Based on Convolutional Neural Networks with Augmented Penalization on Hard-to-Classify Boundary Voxels on the Task of Brain Lesion Segmentation.
MCPR
Gustavo Ulloa, Alejandro Veloz, Héctor Allende-Cid, Raúl Monge, Héctor Allende
2022 J jnl
Using Low-Resolution Non-Invasive Infrared Sensors to Classify Activities and Falls in Older Adults.
Sensors
Gastón Márquez, Alejandro Veloz, Jean-Gabriel Minonzio, Claudio Reyes, Esteban Calvo, Carla Taramasco
2020 J jnl
Fuzzy General Linear Modeling for Functional Magnetic Resonance Imaging Analysis.
IEEE Trans. Fuzzy Syst.
Alejandro Veloz, Claudio Moraga, Alejandro J. Weinstein, Luis Hernandez-Garcia, Stéren Chabert, Rodrigo Salas, Rodrigo Riveros, Carlos Bennett, Héctor Allende
2020 — conf
Improving Multiple Sclerosis Lesion Boundaries Segmentation by Convolutional Neural Networks with Focal Learning.
ICIAR (2)
Gustavo Ulloa, Alejandro Veloz, Héctor Allende-Cid, Héctor Allende
2019 J jnl
Ant Colony Clustering for ROI Identification in Functional Magnetic Resonance Imaging.
Comput. Intell. Neurosci.
Alejandro Veloz, Alejandro J. Weinstein, Stefan Pszczólkowski, Luis Hernandez-Garcia, Rodrigo Olivares, Roberto Muñoz, Carla Taramasco
2018 C conf
An Out of Sample Version of the EM Algorithm for Imputing Missing Values in Classification.
CIARP
Sergio Campos, Alejandro Veloz, Héctor Allende
2017 — conf
Photoplethysmogram Fits Finger Blood Pressure Waveform for non-Invasive and minimally-Intrusive Technologies - Evaluation of Derivative Approaches.
BIOSIGNALS
Gonzalo Tapia, Matias Salinas, Jaime Plaza, Diego Mellado, Rodrigo Salas, Carolina Saavedra, Alejandro Veloz, Alexis Arriola, Juan Idiaquez, Antonio Glaría
2016 J jnl
Identification of Lags in Nonlinear Autoregressive Time Series Using a Flexible Fuzzy Model.
Neural Process. Lett.
Alejandro Veloz, Rodrigo Salas, Héctor Allende-Cid, Héctor Allende, Claudio Moraga
2016 J jnl
SONFIS: Structure Identification and Modeling with a Self-Organizing Neuro-Fuzzy Inference System.
Int. J. Comput. Intell. Syst.
Héctor Allende-Cid, Rodrigo Salas, Alejandro Veloz, Claudio Moraga, Héctor Allende
2012 — conf
SIFAR: Self-Identification of Lags of an Autoregressive TSK-based Model.
ISMVL
Alejandro Veloz, Rodrigo Salas, Héctor Allende-Cid, Héctor Allende
2010 C conf
Modified Expectation Maximization Algorithm for MRI Segmentation.
CIARP
Ramiro Donoso, Alejandro Veloz, Héctor Allende
2010 — conf
Neuro-fuzzy-based Arrhythmia Classification Using Heart Rate Variability Features.
SCCC
Felipe Ramírez, Héctor Allende-Cid, Alejandro Veloz, Héctor Allende
2009 — conf
A Flexible Neuro-Fuzzy Autoregressive Technique for Non-linear Time Series Forecasting.
KES (1)
Alejandro Veloz, Héctor Allende-Cid, Héctor Allende, Claudio Moraga, Rodrigo Salas
2008 C conf
Self-Organizing Neuro-Fuzzy Inference System.
CIARP
Héctor Allende-Cid, Alejandro Veloz, Rodrigo Salas, Stéren Chabert, Héctor Allende
2007 C conf
Fuzzy Spatial Growing for Glioblastoma Multiforme Segmentation on Brain Magnetic Resonance Imaging.
CIARP
Alejandro Veloz, Stéren Chabert, Rodrigo Salas, Antonio Orellana, Juan Vielma