Giorgio Morales

According to our database, Giorgio Morales authored at least 19 papers between 2018 and 2026.

Collaborative distances:

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

2026

Learning Parametric Nitrogen Fertilizer Response Curves Using Neuro Symbolic Regression.

Giorgio Morales, John Sheppard

CoRR, May, 2026

Neutrino Oscillation Parameter Estimation Using Structured Hierarchical Transformers.

Giorgio Morales, Gregory Lehaut, Antonin Vacheret, Frédéric Jurie, Jalal Fadili

CoRR, March, 2026

2025

Towards Uncertainty Quantification in Generative Model Learning.

Giorgio Morales, Frédéric Jurie, Jalal Fadili

CoRR, November, 2025

Decomposable Neuro Symbolic Regression.

Giorgio Morales, John W. Sheppard

CoRR, November, 2025

Dual Accuracy-Quality-Driven Neural Network for Prediction Interval Generation.

Giorgio Morales, John W. Sheppard

IEEE Trans. Neural Networks Learn. Syst., February, 2025

Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networks.

Giorgio Morales, John W. Sheppard

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Univariate Skeleton Prediction in Multivariate Systems Using Transformers.

Giorgio Morales, John W. Sheppard

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track, 2024

Seismic Monitoring and Analysis Challenge (SMAC) Report.

Daniele Rege Cambrin, Lorenzo Vaiani, Isaac Corley, Nils Lehmann, Giorgio Morales, Pascal Tribel

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024

Counterfactual Analysis of Neural Networks Used to Create Fertilizer Management Zones.

Giorgio Morales, John W. Sheppard

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Improved Yield Prediction of Winter Wheat Using a Novel Two-Dimensional Deep Regression Neural Network Trained via Remote Sensing.

Giorgio Morales, John W. Sheppard, Paul B. Hegedus, Bruce D. Maxwell

Sensors, 2023

Counterfactual Explanations of Neural Network-Generated Response Curves.

Giorgio Morales, John W. Sheppard

Proceedings of the International Joint Conference on Neural Networks, 2023

2021

Hyperspectral Dimensionality Reduction Based on Inter-Band Redundancy Analysis and Greedy Spectral Selection.

Giorgio Morales, John W. Sheppard, Riley D. Logan, Joseph A. Shaw

Remote. Sens., 2021

Two-dimensional Deep Regression for Early Yield Prediction of Winter Wheat.

Giorgio Morales, John W. Sheppard

CoRR, 2021

Hyperspectral Band Selection for Multispectral Image Classification with Convolutional Networks.

Giorgio Morales, John Sheppard, Riley D. Logan, Joseph A. Shaw

Proceedings of the International Joint Conference on Neural Networks, 2021

2019

Estimation of 2D Velocity Model using Acoustic Signals and Convolutional Neural Networks.

Marco Paul E. Apolinario, Samuel Huaman Bustamante, Giorgio Morales, Joel Telles, Daniel Díaz

CoRR, 2019

End-to-end Cloud Segmentation in High-Resolution Multispectral Satellite Imagery Using Deep Learning.

Giorgio Morales, Alejandro Ramírez, Joel Telles

CoRR, 2019

Detecting Violent Robberies in CCTV Videos Using Deep Learning.

Giorgio Morales, Itamar Salazar-Reque, Joel Telles, Daniel Díaz

Proceedings of the Artificial Intelligence Applications and Innovations, 2019

2018

Shadow Removal in High-Resolution Satellite Images Using Conditional Generative Adversarial Networks.

Giorgio Morales, Samuel G. Huamán, Joel Telles

Proceedings of the Information Management and Big Data, 5th International Conference, 2018

Cloud Detection in High-Resolution Multispectral Satellite Imagery Using Deep Learning.

Giorgio Morales, Samuel G. Huamán, Joel Telles

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018