Controlled Multi-modal Image Generation for Plant Growth Modeling. - Miro Miranda; Lukas Drees; Ribana Roscher (ICPR, 2022)

Crop Yield Prediction: An Operational Approach to Crop Yield Modeling on Field and Subfield Level with Machine Learning Models. - Patrick Helber; Benjamin Bischke; Peter Habelitz; Cristhian Sanchez; Deepak Pathak; Miro Miranda; Hiba Najjar; Francisco Alejandro Mena; Jayanth Siddamsetty; Diego Arenas; Michaela Vollmer; Marcela Charfuelan; et al. (IGARSS, 2023)

Feature Attribution Methods for Multivariate Time-Series Explainability in Remote Sensing. - Hiba Najjar; Patrick Helber; Benjamin Bischke; Peter Habelitz; Cristhian Sanchez; Francisco Alejandro Mena; Miro Miranda; Deepak Pathak; Jayanth Siddamsetty; Diego Arenas; Michaela Vollmer; Marcela Charfuelan; et al. (IGARSS, 2023)

Predicting Crop Yield with Machine Learning: An Extensive Analysis of Input Modalities and Models on a Field and Sub-Field Level. - Deepak Pathak; Miro Miranda; Francisco Alejandro Mena; Cristhian Sanchez; Patrick Helber; Benjamin Bischke; Peter Habelitz; Hiba Najjar; Jayanth Siddamsetty; Diego Arenas; Michaela Vollmer; Marcela Charfuelan; et al. (IGARSS, 2023)

Influence of Data Cleaning Techniques on Sub-Field Yield Predictions. - Cristhian Sanchez; Deepak Pathak; Miro Miranda; Marcela Charfuelan; Patrick Helber; Marlon Nuske; Benjamin Bischke; Peter Habelitz; Nafisur Rahman; Francisco Alejandro Mena; Hiba Najjar; Jayanth Siddamsetty; et al. (IGARSS, 2023)

Multi-Modal Fusion Methods with Local Neighborhood Information for Crop Yield Prediction at Field and Subfield Levels. - Miro Miranda; Deepak Pathak; Marlon Nuske; Andreas Dengel 001 (IGARSS, 2024)

Adaptive Fusion of Multi-view Remote Sensing data for Optimal Sub-field Crop Yield Prediction. - Francisco Alejandro Mena; Deepak Pathak; Hiba Najjar; Cristhian Sanchez; Patrick Helber; Benjamin Bischke; Peter Habelitz; Miro Miranda; Jayanth Siddamsetty; Marlon Nuske; Marcela Charfuelan; Diego Arenas; et al. (CoRR, 2024)

Explainability of Sub-Field Level Crop Yield Prediction using Remote Sensing. - Hiba Najjar; Miro Miranda; Marlon Nuske; Ribana Roscher; Andreas Dengel 001 (CoRR, 2024)

Synthesizing Annotated Cell Microscopy Images with Generative Adversarial Networks. - Duway Nicolas Lesmes-Leon; Miro Miranda; Maria Caroprese; Gillian Lovell; Andreas Dengel 001; Sheraz Ahmed (ICAART (3), 2025)

An Analysis of Temporal Dropout in Earth Observation Time Series for Regression Tasks. - Miro Miranda; Francisco Alejandro Mena; Andreas Dengel 001 (IDA, 2025)

Explainability of Subfield Level Crop Yield Prediction Using Remote Sensing. - Hiba Najjar; Miro Miranda; Marlon Nuske; Ribana Roscher; Andreas Dengel 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Exploring Physics-Informed Neural Networks for Crop Yield Loss Forecasting. - Miro Miranda; Marcela Charfuelan; Andreas Dengel 001 (CoRR, 2025)

On What Depends the Robustness of Multi-source Models to Missing Data in Earth Observation? - Francisco Alejandro Mena; Diego Arenas; Miro Miranda; Andreas Dengel 001 (CoRR, 2025)