PPIDomainMiner: Inferring domain-domain interactions from multiple sources of protein-protein interactions. - Seyed Ziaeddin Alborzi; Amina Ahmed Nacer; Hiba Najjar; David W. Ritchie; Marie-Dominique Devignes (PLoS Comput. Biol., 2021)

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)

Xai-Guided Enhancement of Vegetation Indices for Crop Mapping. - Hiba Najjar; Francisco Alejandro Mena; 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)

Opening the Black-Box: A Systematic Review on Explainable AI in Remote Sensing. - Adrian Höhl; Ivica Obadic; Miguel-Ángel Fernández-Torres; Hiba Najjar; Dário A. B. Oliveira; Zeynep Akata; Andreas Dengel 001; Xiao Xiang Zhu 001 (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)

Data-Centric Machine Learning for Earth Observation: Necessary and Sufficient Features. - Hiba Najjar; Marlon Nuske; Andreas Dengel 001 (CoRR, 2024)

Explainable Multimodal Learning in Remote Sensing: Challenges and Future Directions. - Alexander Günther; Hiba Najjar; Andreas Dengel 001 (IEEE Geosci. Remote. Sens. Lett., 2024)

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)

Unifying VXAI: A Systematic Review and Framework for the Evaluation of Explainable AI. - David Dembinsky; Adriano Lucieri; Stanislav Frolov; Hiba Najjar; Ko Watanabe 001; Andreas Dengel 001 (CoRR, 2025)

Intrinsic Explainability of Multimodal Learning for Crop Yield Prediction. - Hiba Najjar; Deepak Pathak; Marlon Nuske; Andreas Dengel 001 (CoRR, 2025)

Can Multitask Learning Enhance Model Explainability? - Hiba Najjar; Bushra Alshbib; Andreas Dengel 001 (CoRR, 2025)