1 citations · 1 across the 2 of their papers we have counts for
4 papers
Self-supervised Learning for Sonar Image Classification
Alan Preciado-Grijalva, Bilal Wehbe, Miguel Bande Firvida +1
Self-supervised learning has proved to be a powerful approach to learn image representations without the need of large labeled datasets. For underwater robotics, it is of great int…
Evaluation of Deep Neural Network Domain Adaptation Techniques for Image Recognition
Alan Preciado-Grijalva, Venkata Santosh Sai Ramireddy Muthireddy
It has been well proved that deep networks are efficient at extracting features from a given (source) labeled dataset. However, it is not always the case that they can generalize w…
Pre-trained Models for Sonar Images
Matias Valdenegro-Toro, Alan Preciado-Grijalva, Bilal Wehbe
Machine learning and neural networks are now ubiquitous in sonar perception, but it lags behind the computer vision field due to the lack of data and pre-trained models specificall…
Speaker Fluency Level Classification Using Machine Learning Techniques
Alan Preciado-Grijalva, Ramon F. Brena
Level assessment for foreign language students is necessary for putting them in the right level group, furthermore, interviewing students is a very time-consuming task, so we propo…