15 citations · 29 across the 6 of their papers we have counts for
6 papers
Counterfactual Explanations of Neural Network-Generated Response Curves
Giorgio Morales, John Sheppard
Response curves exhibit the magnitude of the response of a sensitive system to a varying stimulus. However, response of such systems may be sensitive to multiple stimuli (i.e., inp…
Dual Accuracy-Quality-Driven Neural Network for Prediction Interval Generation
Giorgio Morales, John W. Sheppard
Accurate uncertainty quantification is necessary to enhance the reliability of deep learning models in real-world applications. In the case of regression tasks, prediction interval…
Two-dimensional Deep Regression for Early Yield Prediction of Winter Wheat
Giorgio Morales, John W. Sheppard
Crop yield prediction is one of the tasks of Precision Agriculture that can be automated based on multi-source periodic observations of the fields. We tackle the yield prediction p…
Hyperspectral Band Selection for Multispectral Image Classification with Convolutional Networks
Giorgio Morales, John Sheppard, Riley Logan +1
In recent years, Hyperspectral Imaging (HSI) has become a powerful source for reliable data in applications such as remote sensing, agriculture, and biomedicine. However, hyperspec…
Estimation of 2D Velocity Model using Acoustic Signals and Convolutional Neural Networks
Marco Apolinario, Samuel Huaman Bustamante, Giorgio Morales +2
The parameters estimation of a system using indirect measurements over the same system is a problem that occurs in many fields of engineering, known as the inverse problem. It also…
End-to-end Cloud Segmentation in High-Resolution Multispectral Satellite Imagery Using Deep Learning
Giorgio Morales, Alejandro Ramírez, Joel Telles
Segmenting clouds in high-resolution satellite images is an arduous and challenging task due to the many types of geographies and clouds a satellite can capture. Therefore, it need…