Publications

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Miro Miranda Lorenz; Francisco Mena; Andreas Dengel
An Analysis of Temporal Dropout in Earth Observation Time Series for Regression Tasks
In: IDA 2025. International Symposium on Intelligent Data Analysis (IDA-2025), May 7-9, Konstanz, Germany, Springer, 5/2025.
Francisco Mena; Deepak Kumar Pathak; Hiba Najjar; Cristhian Sanchez; Patrick Helber; Benjamin Bischke; Peter Habelitz; Miro Miranda Lorenz; Jayanth Siddamsetty; Marlon Nuske; Marcela Charfuelan Oliva; Diego Arenas; Michaela Vollmer; Andreas Dengel
Adaptive Fusion of Multi-Modal Remote Sensing data for Optimal Sub-field Crop Yield Prediction
In: Remote Sensing of Environment (RSE), Vol. 318, Pages 0-20, Elsevier, 3/2025.
Duway Nicolas Lesmes Leon; Miro Miranda Lorenz; Maria Caroprese; Gillian Lovell; Andreas Dengel; Sheraz Ahmed
Synthesizing Annotated Cell Microscopy Images with Generative Adversarial Networks
In: Proceedings of the 17th International Conference on Agents and Artificial Intelligence. International Conference on Agents and Artificial Intelligence (ICAART-2025), 17th, located at ICAART-2025, February 23-25, Porto, Portugal, Pages 592-599, Vol. 3, ISBN 978-989-758-737-5, SciTePress, 2025.
Francisco Mena; Diego Arenas; Miro Miranda Lorenz; Andreas Dengel
On What Depends the Robustness of Multi-source Models to Missing Data in Earth Observation?
In: IEEE International Geoscience and Remote Sensing Symposium 2025. IEEE International Geoscience and Remote Sensing Symposium (IGARSS-2025), August 3-8, Brisbane, Australia, IEEE, 2025.
Miro Miranda Lorenz; Deepak Kumar Pathak; Marlon Nuske; Andreas Dengel (Hrsg.)
Multi-Modal Fusion Methods with Local Neighborhood Information For Crop Yield Prediction at Field and Subfield Levels
IEEE International Geoscience and Remote Sensing Symposium (IGARSS-2024), July 7-12, Athens, Greece, IEEE, 2024.
Miro Miranda Lorenz; Marcela Charfuelan; Andreas Dengel
Exploring Physics-Informed Neural Networks for Crop Yield Loss Forecasting
In: Tackling Climate Change with Machine Learning (Hrsg.). NeurIPS 2024 Workshop on Tackling Climate Change with Machine Learning. Neural Information Processing Systems (NeurIPS-2024), NeurIPS 2024, located at NeurIPS, December 10-15, Vancouver, Britsh Columbia, Canada, DFKI Research Reports (RR), NeurIPS, 2024.
Deepak Kumar Pathak; Miro Miranda Lorenz; Francisco Mena; Cristhian Sanchez; Patrick Helber; Benjamin Bischke; Peter Habelitz; Hiba Najjar; Jayanth Siddamsetty; Diego Arenas; Michaela Vollmer; Marcela Charfuelan Oliva; Marlon Nuske; Andreas Dengel
PREDICTING CROP YIELD WITH MACHINE LEARNING: AN EXTENSIVE ANALYSIS OF INPUT MODALITIES AND MODELS ON A FIELD AND SUB-FIELD LEVEL
In: 2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE International Geoscience and Remote Sensing Symposium (IGARSS-2023), WE4.R8: Agricultural Yield Estimation and Prediction I, July 16-21, Pasadena, California, USA, IEEE, 10/2023.
Cristhian Sanchez; Deepak Kumar Pathak; Miro Miranda Lorenz; Marcela Charfuelan Oliva; Patrick Helber; Marlon Nuske; Benjamin Bischke; Peter Habelitz; Nafisur Rahman; Francisco Mena; Hiba Najjar; Jayanth Siddamsetty; Diego Arenas; Michaela Vollmer; Andreas Dengel
INFLUENCE OF DATA CLEANING TECHNIQUES ON SUB-FIELD YIELD PREDICTIONS
In: 2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE International Geoscience and Remote Sensing Symposium (IGARSS-2023), TU3.R3: Spatio-temporal Data Harmonization I, July 16-21, Pasadena, California, USA, IEEE, 10/2023.
Patrick Helber; Benjamin Bischke; Peter Habelitz; Cristhian Sanchez; Deepak Kumar Pathak; Miro Miranda Lorenz; Hiba Najjar; Francisco Mena; Jayanth Siddamsetty; Diego Arenas; Michaela Vollmer; Marcela Charfuelan Oliva; Marlon Nuske; Andreas Dengel
Crop Yield Prediction: an Operational Approach to Crop Yield Modeling on Field and Sub-Field Level with Machine Learning Models
In: 2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE International Geoscience and Remote Sensing Symposium (IGARSS-2023), July 16-21, Pasadena, CA, USA, IEEE, 10/2023.
Hiba Najjar; Patrick Helber; Benjamin Bischke; Peter Habelitz; Cristhian Sanchez; Francisco Mena; Miro Miranda Lorenz; Deepak Kumar Pathak; Jayanth Siddamsetty; Diego Arenas; Michaela Vollmer; Marcela Charfuelan Oliva; Marlon Nuske; Andreas Dengel
Feature Attributation Methods for Multivariate Time-Series Explainability in Remote Sensing
In: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium. IEEE International Geoscience and Remote Sensing Symposium (IGARSS-2023), July 16-21, Pasadena, California, USA, Pages 5014-5017, IEEE Xplore, 10/2023.