Publications

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Francisco Mena; Diego Arenas; Andreas Dengel
Missing data as augmentation in the Earth Observation domain: A multi-view learning approach
In: Neurocomputing, Vol. 638, Pages 0-16, Elsevier, 7/2025.
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; Dino Ienco; Cássio F. Dantas; Roberto Interdonato; Andreas Dengel
Decision-level Sensor Dropout with Mutual Distillation for classification tasks
In: IEEE Access (IEEE), Vol. 0, Pages 1-14, IEEE, 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.
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.
Francisco Mena; Diego Arenas; Marlon Nuske; Andreas Dengel
Common Practices and Taxonomy in Deep Multi-view Fusion for Remote Sensing Applications
In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), Vol. 17, Pages 4797-4818, IEEE GRSS, IEEE, 2/2024.
Francisco Mena; Diego Arenas; Marcela Charfuelan Oliva; Marlon Nuske; Andreas Dengel
Impact Assessment of Missing Data in Model Predictions for Earth Observation Applications
In: Proceedings of the IEEE International Geoscience and Remote Sensing Symposium 2024. IEEE International Geoscience and Remote Sensing Symposium (IGARSS-2024), July 7-12, Athens, Greece, IEEE GRSS, IEEE, 2024.
Francisco Mena; Diego Arenas; Andreas Dengel
Increasing the Robustness of Model Predictions to Missing Sensors in Earth Observation
In: Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2024). ECML/PKDD Workshop on Machine Learning for Earth Observation (MACLEAN-24), located at ECML/PKDD 2024, September 13, Vilnius, Lithuania, Springer, 2024.
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.