Publications

Giorgio Morales, Frederic Jurie, Jalal Fadili (2025). Towards Uncertainty Quantification in Generative Model Learning. EurIPS 2025 Workshop: Epistemic Intelligence in Machine Learning.

Giorgio Morales, John W. Sheppard (2025). Decomposable Neuro Symbolic Regression. In review.

Giorgio Morales, John W. Sheppard (2025). Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networks. The 39th Annual AAAI Conference on Artificial Intelligence.

Giorgio Morales, John W. Sheppard (2024). Univariate Skeleton Prediction in Multivariate Systems Using Transformers. ECML PKDD 2024. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases.

Giorgio Morales, John Sheppard (2024). Counterfactual Analysis of Neural Networks Used to Create Fertilizer Management Zones. 2024 International Joint Conference on Neural Networks (IJCNN) (IJCNN 2024).

Giorgio Morales, John Sheppard (2023). Counterfactual Explanations of Neural Network-Generated Response Curves. 2023 International Joint Conference on Neural Networks (IJCNN).

Giorgio Morales, John Sheppard, Paul Hegedus, Bruce Maxwell (2023). Improved Yield Prediction of Winter Wheat Using a Novel Two-Dimensional Deep Regression Neural Network Trained via Remote Sensing. Sensors.

Giorgio Morales, John W. Sheppard (2023). Dual Accuracy-Quality-Driven Neural Network for Prediction Interval Generation. IEEE Transactions on Neural Networks and Learning Systems.

Amy Peerlinck, Giorgio Morales, John Sheppard, Paul Hegedus, Bruce Maxwell (2022). Optimizing Nitrogen Application to Maximize Yield and Reduce Environmental Impact in Winter Wheat Production.

Giorgio Morales, John Sheppard, Amy Peerlinck, Paul Hegedus, Bruce Maxwell (2022). Generation of Site-specific Nitrogen Response Curves for Winter Wheat using Deep Learning.