All Outputs (2)

Hyperspectral Image Classification - Traditional to Deep Models: A Survey for Future Prospects (2021)
Journal Article
Ahmad, M., Shabbir, S., Roy, S. K., Hong, D., Wu, X., Yao, J., …Chanussot, J. (2022). Hyperspectral Image Classification - Traditional to Deep Models: A Survey for Future Prospects. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 968-999. https://doi.org/10.1109/JSTARS.2021.3133021

Hyperspectral imaging (HSI) has been extensively utilized in many real-life applications because it benefits from the detailed spectral information contained in each pixel. Notably, the complex characteristics, i.e., the nonlinear relation among the... Read More about Hyperspectral Image Classification - Traditional to Deep Models: A Survey for Future Prospects.

Adversarial Reconstruction Loss for Domain Generalization (2021)
Journal Article
Bekkouch, I. E. I., Nicolae, D. C., Khan, A., Kazmi, S. M., Khattak, A. M., & Ibragimov, B. (2021). Adversarial Reconstruction Loss for Domain Generalization. IEEE Access, 9, 42424-42437. https://doi.org/10.1109/ACCESS.2021.3066041

The biggest fear when deploying machine learning models to the real world is their ability to handle the new data. This problem is significant especially in medicine, where models trained on rich high-quality data extracted from large hospitals do no... Read More about Adversarial Reconstruction Loss for Domain Generalization.