Transfer learning aurora image classification and magnetic disturbance evaluation
P Sado, LBN Clausen, WJ Miloch… - Journal of Geophysical …, 2022 - Wiley Online Library
We develop an open source algorithm to apply Transfer learning to Aurora image
classification and Magnetic disturbance Evaluation (TAME). For this purpose, we evaluate …
classification and Magnetic disturbance Evaluation (TAME). For this purpose, we evaluate …
Predicting the Spectroscopic Features of Galaxies by Applying Manifold Learning on Their Broadband Colors: Proof of Concept and Potential Applications for Euclid …
M Jafariyazani, D Masters, AL Faisst… - The Astrophysical …, 2024 - iopscience.iop.org
Entering the era of large-scale galaxy surveys, which will deliver unprecedented amounts of
photometric and spectroscopic data, there is a growing need for more efficient, data-driven …
photometric and spectroscopic data, there is a growing need for more efficient, data-driven …
[PDF][PDF] Skumanie vzdialenostı adverzariálnych vstupov k jednotlivým triedam v hlbokých neurónových siet'ach
Hlboké neurónové siete dosiahujú mimoriadnu úspešnost'v rôznorodých úlohách. Avšak, sú
zranitel'né adverzariálnymi vstupmi (AV). V našej práci skúmame vnútorné reprezentácie AV …
zranitel'né adverzariálnymi vstupmi (AV). V našej práci skúmame vnútorné reprezentácie AV …