Publications

Giorgio Morales, John W. Sheppard (2024). Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networks. The 39th Annual AAAI Conference on Artificial Intelligence.
Cite Code Arxiv
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.
PDF Cite Code Dataset Source Document Springer
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).
Cite DOI ARXIV
Giorgio Morales, John Sheppard (2023). Counterfactual Explanations of Neural Network-Generated Response Curves. 2023 International Joint Conference on Neural Networks (IJCNN).
Cite Code DOI
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.
Cite DOI Open Access
Giorgio Morales, John W. Sheppard (2023). Dual Accuracy-Quality-Driven Neural Network for Prediction Interval Generation. IEEE Transactions on Neural Networks and Learning Systems.
PDF Cite Code Source Document DOI Arxiv
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.
Cite ResearchGate
Giorgio Morales, John Sheppard, Amy Peerlinck, Paul Hegedus, Bruce Maxwell (2022). Generation of Site-specific Nitrogen Response Curves for Winter Wheat using Deep Learning.
Cite ResearchGate
Bruce Maxwell, Paul Hegedus, Sasha Loewen, Hannah Duff, John Sheppard, Amy Peerlinck, Giorgio Morales, Anton Bekkerman (2022). Decision Support From On-Field Precision Experiments.
Cite ResearchGate
Giorgio Morales, John W. Sheppard (2021). Two-dimensional deep regression for early yield prediction of winter wheat. SPIE Future Sensing Technologies 2021.
Cite DOI URL