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1. 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 …

2. 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 …

3. 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 …

4. Francisco Mena; Diego Arenas; Marlon Nuske; Andreas Dengel

   A Comparative Assessment of Multi-view Fusion Learning for Crop Classification

   In: 2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE International Geoscience and Remote Sensing Symposium …

5. 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 …

6. Nabeel Khalid; Tiago Comassetto Froes; Maria Caroprese; Gillian Lovell; Johan Trygg; Andreas Dengel; Sheraz Ahmed

   PACE: Point Annotation-Based Cell Segmentation for Efficient Microscopic Image Analysis

   In: ICANN 2023. International Conference on Artificial Neural Networks (ICANN-2023), 32nd International Conference on Artificial Neural Networks, …

7. Summra Saleem; Muhammad Nabeel Asim; Ludger van Elst; Andreas Dengel

   FNReq-Net: A hybrid computational framework for functional and non-functional requirements classification

   In: Journal of King Saud University - Computer and Information Sciences, Vol. 35, No. 8 (101665), Elsevier, 9/2023.

8. Faiza Mehmood; Rehab Shahzadi; Hina Ghafoor; Muhammad Nabeel Asim; Muhammad Usman Ghani; Waqar Mahmood; Andreas Dengel

   EnML: Multi-label Ensemble Learning for Urdu Text Classification

   In: ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Vol. 22, Pages 1-31, ACM, 9/2023.

9. Saifullah Saifullah; Stefan Agne; Andreas Dengel; Sheraz Ahmed

   ColDBin: Cold Diffusion for Document Image Binarization

   In: Document Analysis and Recognition - ICDAR 2023. International Conference on Document Analysis and Recognition (ICDAR-2023), located at The 17th …

10. Adriano Lucieri; Andreas Dengel; Sheraz Ahmed

    Translating theory into practice: assessing the privacy implications of concept-based explanations for biomedical AI

    In: Juan Guillermo Diaz Ochoa (Hrsg.). Frontiers in Bioinformatics, Vol. 3, Pages 1-19, Frontiers Media SA, 7/2023.

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