Stéren Chabert

According to our database, Stéren Chabert authored at least 13 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Knowledge-slanted random forest method for high-dimensional data and small sample size with a feature selection application for gene expression data.

Erika Cantor, Sandra Guauque-Olarte, Roberto León, Stéren Chabert, Rodrigo Salas

BioData Min., 2024

Benchmarking YOLO Models for Intracranial Hemorrhage Detection Using Varied CT Data Sources.

Gonzalo Tapia, Héctor Allende-Cid, Stéren Chabert, Domingo Mery, Rodrigo Salas

IEEE Access, 2024

Multilabel Classification of Intracranial Hemorrhages Using Deep Learning and Preprocessing Techniques on Non-contrast CT Images.

Rodrigo Salas, Juan Sebastian Castro, Marvin Querales, Carolina Saavedra, Claudia Prieto, Stéren Chabert

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2024

2023

A Deep Learning Classifier Using Sliding Patches For Detection of Mammographical Findings.

Diego Mellado, Marvin Querales, Julio Sotelo, Eduardo Godoy, Fabian Pardo, Scarlett Lever, Stéren Chabert, Rodrigo Salas

Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

Torwards Trustworthy Machine Learning based systems: Evaluating breast cancer predictions interpretability using Human Centered Machine Learning and UX Techniques.

Jonathan Ugalde, Eduardo Godoy, Diego Mellado, Eduardo Cavieres, Bastian Carvajal, Carlos Fernández, Pamela Illescas, Rodrigo H. Avaria, Claudia Díaz, Rodrigo Ferreira, Marvin Querales, Scarlett Lever, Julio Sotelo, Stéren Chabert, Rodrigo Salas

Proceedings of the HCI International 2023 Posters, 2023

2022

A Step Forward to Formalize Tailored to Problem Specificity Mathematical Transforms.

Antonio Glaría, Rodrigo Salas, Stéren Chabert, Pablo Roncagliolo, Alexis Arriola, Gonzalo Tapia, Matias Salinas, Herman Zepeda, Carla Taramasco, Kayode Oshinubi, Jacques Demongeot

Frontiers Appl. Math. Stat., 2022

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, Rodrigo Riveros, Carlos Bennett, Héctor Allende

IEEE Trans. Fuzzy Syst., 2020

2019

Self-Improving Generative Artificial Neural Network for Pseudorehearsal Incremental Class Learning.

Diego Mellado, Carolina Saavedra, Stéren Chabert, Romina Torres, Rodrigo Salas

Algorithms, 2019

Convolutional neural networks for detection intracranial hemorrhage in CT images.

Juan Sebastian Castro, Stéren Chabert, Carolina Saavedra, Rodrigo Salas

Proceedings of the 5th Congress on Robotics and Neuroscience, 2019

2018

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

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

2016

Fitting Human Decision Making Models using Python.

Alejandro J. Weinstein, Wael El-Deredy, Stéren Chabert, Myriam Fuentes

Proceedings of the 15th Python in Science Conference 2016 (SciPy 2016), Austin, Texas, July 11, 2016

2008

Self-Organizing Neuro-Fuzzy Inference System.

Héctor Allende-Cid, Alejandro Veloz, Rodrigo Salas, Stéren Chabert, Héctor Allende

Proceedings of the Progress in Pattern Recognition, 2008

2007

Fuzzy Spatial Growing for Glioblastoma Multiforme Segmentation on Brain Magnetic Resonance Imaging.

Alejandro Veloz, Stéren Chabert, Rodrigo Salas, Antonio Orellana, Juan Vielma

Proceedings of the Progress in Pattern Recognition, 2007