12 citations · 12 across the 4 of their papers we have counts for
5 papers
GIRAFE: Glottal Imaging Dataset for Advanced Segmentation, Analysis, and Facilitative Playbacks Evaluation
G. Andrade-Miranda, K. Chatzipapas, J. D. Arias-Londoño +1
The advances in the development of Facilitative Playbacks extracted from High-Speed videoendoscopic sequences of the vocal folds are hindered by a notable lack of publicly availabl…
An Instance Selection Algorithm for Big Data in High imbalanced datasets based on LSH
Germán E. Melo-Acosta, Freddy Duitama-Muñoz, Julián D. Arias-Londoño
Training of Machine Learning (ML) models in real contexts often deals with big data sets and high-class imbalance samples where the class of interest is unrepresented (minority cla…
An enhanced Conv-TasNet model for speech separation using a speaker distance-based loss function
Jose A. Arango-Sánchez, Julián D. Arias-Londoño
This work addresses the problem of speech separation in the Spanish Language using pre-trained deep learning models. As with many speech processing tasks, large databases in other…
Fake News Detection in Spanish Using Deep Learning Techniques
Kevin Martínez-Gallego, Andrés M. Álvarez-Ortiz, Julián D. Arias-Londoño
This paper addresses the problem of fake news detection in Spanish using Machine Learning techniques. It is fundamentally the same problem tackled for the English language; however…
Artificial Intelligence applied to chest X-Ray images for the automatic detection of COVID-19. A thoughtful evaluation approach
Julian D. Arias-Londoño, Jorge A. Gomez-Garcia, Laureano Moro-Velazquez +1
Current standard protocols used in the clinic for diagnosing COVID-19 include molecular or antigen tests, generally complemented by a plain chest X-Ray. The combined analysis aims…