Hiba Najjar

According to our database, Hiba Najjar authored at least 11 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Explainable Multimodal Learning in Remote Sensing: Challenges and Future Directions.

Alexander Günther, Hiba Najjar, Andreas Dengel

IEEE Geosci. Remote. Sens. Lett., 2024

Data-Centric Machine Learning for Earth Observation: Necessary and Sufficient Features.

Hiba Najjar, Marlon Nuske, Andreas Dengel

CoRR, 2024

Explainability of Sub-Field Level Crop Yield Prediction using Remote Sensing.

Hiba Najjar, Miro Miranda, Marlon Nuske, Ribana Roscher, Andreas Dengel

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, Xiao Xiang Zhu

CoRR, 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, Michaela Vollmer, Andreas Dengel

CoRR, 2024

Xai-Guided Enhancement of Vegetation Indices for Crop Mapping.

Hiba Najjar, Francisco Alejandro Mena, Marlon Nuske, Andreas Dengel

Proceedings of the IGARSS 2024, 2024

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, Diego Arenas, Michaela Vollmer, Andreas Dengel

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 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, Marlon Nuske, Andreas Dengel

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 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, Marlon Nuske, Andreas Dengel

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

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, Marlon Nuske, Andreas Dengel

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2021

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