Miro Miranda

Orcid: 0009-0002-8195-9776

According to our database1, Miro Miranda authored at least 15 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
YieldSAT: A Multimodal Benchmark Dataset for High-Resolution Crop Yield Prediction.
CoRR, April, 2026

2025
On What Depends the Robustness of Multi-source Models to Missing Data in Earth Observation?
CoRR, March, 2025

Exploring Physics-Informed Neural Networks for Crop Yield Loss Forecasting.
CoRR, January, 2025

Explainability of Subfield Level Crop Yield Prediction Using Remote Sensing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

An Analysis of Temporal Dropout in Earth Observation Time Series for Regression Tasks.
Proceedings of the Advances in Intelligent Data Analysis XXIII, 2025

Synthesizing Annotated Cell Microscopy Images with Generative Adversarial Networks.
Proceedings of the 17th International Conference on Agents and Artificial Intelligence, 2025

Informed Learning for Estimating Drought Stress at Fine-Scale Resolution Enables Accurate Yield Prediction.
Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

2024
Explainability of Sub-Field Level Crop Yield Prediction using Remote Sensing.
CoRR, 2024

Adaptive Fusion of Multi-view Remote Sensing data for Optimal Sub-field Crop Yield Prediction.
CoRR, 2024

Multi-Modal Fusion Methods with Local Neighborhood Information for Crop Yield Prediction at Field and Subfield Levels.
Proceedings of the IGARSS 2024, 2024

2023
Influence of Data Cleaning Techniques on Sub-Field Yield Predictions.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Predicting Crop Yield with Machine Learning: An Extensive Analysis of Input Modalities and Models on a Field and Sub-Field Level.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Feature Attribution Methods for Multivariate Time-Series Explainability in Remote Sensing.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Crop Yield Prediction: An Operational Approach to Crop Yield Modeling on Field and Subfield Level with Machine Learning Models.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Controlled Multi-modal Image Generation for Plant Growth Modeling.
Proceedings of the 26th International Conference on Pattern Recognition, 2022


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