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.
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.