Nassim Ait Ali Braham

Orcid: 0009-0001-3346-3373

According to our database1, Nassim Ait Ali Braham authored at least 20 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
HyBiomass: Global Hyperspectral Imagery Benchmark Dataset for Evaluating Geospatial Foundation Models in Forest Aboveground Biomass Estimation.
CoRR, June, 2025

Hyperspectral Vision Transformers for Greenhouse Gas Estimations from Space.
CoRR, April, 2025

SSL4EO-S12 v1.1: A Multimodal, Multiseasonal Dataset for Pretraining, Updated.
CoRR, March, 2025

Multispectral to Hyperspectral using Pretrained Foundational model.
CoRR, February, 2025

Weak-Strong Graph Contrastive Learning Neural Network for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2025

SpectralEarth: Training Hyperspectral Foundation Models at Scale.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

2024
Enhancing Contrastive Learning With Positive Pair Mining for Few-Shot Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Prospects for Mitigating Spectral Variability in Tropical Species Classification Using Self-Supervised Learning.
Proceedings of the 14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2024

Decoupling Common and Unique Representations for Multimodal Self-supervised Learning.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Automatic Detection of Building Displacements Through Unsupervised Learning From InSAR Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Privacy-preserving remote deep-learning-based inference under constrained client-side environment.
J. Ambient Intell. Humaniz. Comput., 2023

DeCUR: decoupling common & unique representations for multimodal self-supervision.
CoRR, 2023

Semi-Supervised Learning for hyperspectral images by non parametrically predicting view assignment.
CoRR, 2023

SSL4EO-L: Datasets and Foundation Models for Landsat Imagery.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Semi-Supervised Learning for Hyperspectral Images by Non Parametrically Predicting View Assignment<sup>CRediT</sup>.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

SSL for Large-Scale Mining Site Segmentation.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation.
CoRR, 2022

Self-supervised Learning in Remote Sensing: A Review.
CoRR, 2022

Self Supervised Learning for Few Shot Hyperspectral Image Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
PReDIHERO - Privacy-Preserving Remote Deep Learning Inference based on Homomorphic Encryption and Reversible Obfuscation for Enhanced Client-side Overhead in Pervasive Health Monitoring.
Proceedings of the 18th IEEE/ACS International Conference on Computer Systems and Applications, 2021


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