Hiba Najjar

20 papers C 5Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Unifying VXAI: A Systematic Review and Framework for the Evaluation of Explainable AI.
Trans. Mach. Learn. Res.
David Dembinsky, Adriano Lucieri, Stanislav Frolov, Hiba Najjar, Ko Watanabe, Andreas Dengel
2025 — conf
Can Multitask Learning Enhance Model Explainability?
DAGM GCPR
Hiba Najjar, Bushra Alshbib, Andreas Dengel
2025 J jnl
Can Multitask Learning Enhance Model Explainability?
CoRR
Hiba Najjar, Bushra Alshbib, Andreas Dengel
2025 J jnl
Explainability of Subfield Level Crop Yield Prediction Using Remote Sensing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Hiba Najjar, Miro Miranda, Marlon Nuske, Ribana Roscher, Andreas Dengel
2025 J jnl
Intrinsic Explainability of Multimodal Learning for Crop Yield Prediction.
CoRR
Hiba Najjar, Deepak Pathak, Marlon Nuske, Andreas Dengel
2025 J jnl
Intrinsic explainability of multimodal learning for crop yield simulation.
Comput. Electron. Agric.
Hiba Najjar, Deepak Pathak, Marlon Nuske, Andreas Dengel
2025 J jnl
Unifying VXAI: A Systematic Review and Framework for the Evaluation of Explainable AI.
CoRR
David Dembinsky, Adriano Lucieri, Stanislav Frolov, Hiba Najjar, Ko Watanabe, Andreas Dengel
2024 J jnl
Adaptive Fusion of Multi-view Remote Sensing data for Optimal Sub-field Crop Yield Prediction.
CoRR
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, Michaela Vollmer, Andreas Dengel
2024 J jnl
Data-Centric Machine Learning for Earth Observation: Necessary and Sufficient Features.
CoRR
Hiba Najjar, Marlon Nuske, Andreas Dengel
2024 J jnl
Explainability of Sub-Field Level Crop Yield Prediction using Remote Sensing.
CoRR
Hiba Najjar, Miro Miranda, Marlon Nuske, Ribana Roscher, Andreas Dengel
2024 J jnl
Explainable Multimodal Learning in Remote Sensing: Challenges and Future Directions.
IEEE Geosci. Remote. Sens. Lett.
Alexander Günther, Hiba Najjar, Andreas Dengel
2024 J jnl
Opening the Black-Box: A Systematic Review on Explainable AI in Remote Sensing.
CoRR
Adrian Höhl, Ivica Obadic, Miguel-Ángel Fernández-Torres, Hiba Najjar, Dário A. B. Oliveira, Zeynep Akata, Andreas Dengel, Xiao Xiang Zhu
2024 J jnl
XAI-Guided Enhancement of Vegetation Indices for Crop Mapping.
CoRR
Hiba Najjar, Francisco Alejandro Mena, Marlon Nuske, Andreas Dengel
2024 C conf
Xai-Guided Enhancement of Vegetation Indices for Crop Mapping.
IGARSS
Hiba Najjar, Francisco Alejandro Mena, Marlon Nuske, Andreas Dengel
2023 C conf
Crop Yield Prediction: An Operational Approach to Crop Yield Modeling on Field and Subfield Level with Machine Learning Models.
IGARSS
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, Marlon Nuske, Andreas Dengel
2023 C conf
Feature Attribution Methods for Multivariate Time-Series Explainability in Remote Sensing.
IGARSS
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, Marlon Nuske, Andreas Dengel
2023 C conf
Influence of Data Cleaning Techniques on Sub-Field Yield Predictions.
IGARSS
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, Diego Arenas, Michaela Vollmer, Andreas Dengel
2023 J jnl
Predicting Crop Yield With Machine Learning: An Extensive Analysis Of Input Modalities And Models On a Field and sub-field Level.
CoRR
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, Marlon Nuske, Andreas Dengel
2023 C conf
Predicting Crop Yield with Machine Learning: An Extensive Analysis of Input Modalities and Models on a Field and Sub-Field Level.
IGARSS
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, Marlon Nuske, Andreas Dengel
2021 J jnl
PPIDomainMiner: Inferring domain-domain interactions from multiple sources of protein-protein interactions.
PLoS Comput. Biol.
Seyed Ziaeddin Alborzi, Amina Ahmed Nacer, Hiba Najjar, David W. Ritchie, Marie-Dominique Devignes