Fuzzy Spatial Growing for Glioblastoma Multiforme Segmentation on Brain Magnetic Resonance Imaging. - Alejandro Veloz; Stéren Chabert; Rodrigo Salas 001; Antonio Orellana; Juan Vielma (CIARP, 2007)

Self-Organizing Neuro-Fuzzy Inference System. - Héctor Allende-Cid; Alejandro Veloz; Rodrigo Salas 001; Stéren Chabert; Héctor Allende (CIARP, 2008)

A Flexible Neuro-Fuzzy Autoregressive Technique for Non-linear Time Series Forecasting. - Alejandro Veloz; Héctor Allende-Cid; Héctor Allende; Claudio Moraga; Rodrigo Salas 001 (KES (1), 2009)

Modified Expectation Maximization Algorithm for MRI Segmentation. - Ramiro Donoso; Alejandro Veloz; Héctor Allende (CIARP, 2010)

Neuro-fuzzy-based Arrhythmia Classification Using Heart Rate Variability Features. - Felipe Ramírez; Héctor Allende-Cid; Alejandro Veloz; Héctor Allende (SCCC, 2010)

SIFAR: Self-Identification of Lags of an Autoregressive TSK-based Model. - Alejandro Veloz; Rodrigo Salas 001; Héctor Allende-Cid; Héctor Allende (ISMVL, 2012)

SONFIS: Structure Identification and Modeling with a Self-Organizing Neuro-Fuzzy Inference System. - Héctor Allende-Cid; Rodrigo Salas 001; Alejandro Veloz; Claudio Moraga; Héctor Allende (Int. J. Comput. Intell. Syst., 2016)

Identification of Lags in Nonlinear Autoregressive Time Series Using a Flexible Fuzzy Model. - Alejandro Veloz; Rodrigo Salas 001; Héctor Allende-Cid; Héctor Allende; Claudio Moraga (Neural Process. Lett., 2016)

Photoplethysmogram Fits Finger Blood Pressure Waveform for non-Invasive and minimally-Intrusive Technologies - Evaluation of Derivative Approaches. - Gonzalo Tapia; Matias Salinas; Jaime Plaza; Diego Mellado; Rodrigo Salas 001; Carolina Saavedra; Alejandro Veloz; Alexis Arriola; Juan Idiaquez; Antonio Glaría (BIOSIGNALS, 2017)

An Out of Sample Version of the EM Algorithm for Imputing Missing Values in Classification. - Sergio Campos; Alejandro Veloz; Héctor Allende (CIARP, 2018)

Ant Colony Clustering for ROI Identification in Functional Magnetic Resonance Imaging. - Alejandro Veloz; Alejandro J. Weinstein; Stefan Pszczólkowski; Luis Hernandez-Garcia; Rodrigo Olivares; Roberto Muñoz 001; Carla Taramasco (Comput. Intell. Neurosci., 2019)

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)

Fuzzy General Linear Modeling for Functional Magnetic Resonance Imaging Analysis. - Alejandro Veloz; Claudio Moraga; Alejandro J. Weinstein; Luis Hernandez-Garcia; Stéren Chabert; Rodrigo Salas 001; Rodrigo Riveros; Carlos Bennett; Héctor Allende (IEEE Trans. Fuzzy Syst., 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)

Using Low-Resolution Non-Invasive Infrared Sensors to Classify Activities and Falls in Older Adults. - Gastón Márquez; Alejandro Veloz; Jean-Gabriel Minonzio; Claudio Reyes; Esteban Calvo; Carla Taramasco (Sensors, 2022)

Fuzzy deconvolution of neuronal events in Functional Magnetic Resonance Imaging. - Alejandro Veloz; Wael El-Deredy; Alejandro J. Weinstein; Juan Zamora; Claudio Moraga; Daniele Marinazzo (KES, 2023)

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

Edges-enhanced Convolutional Neural Network for Multiple Sclerosis Lesions Segmentation. - Gustavo Ulloa-Poblete; Héctor Allende-Cid; Alejandro Veloz; Héctor Allende (Computación y Sistemas (CyS), 2023)