1 citations · 1 across the 1 of their papers we have counts for
4 papers
Review of Machine Learning Models for Solar Energetic Particle Prediction
Spiridon Kasapis, Pouya Hosseinzadeh, Kathryn Whitman +73
Solar energetic particle (SEP) events have attracted increasing attention due to their significant radiation hazards for aviation, spacecraft electronics, and human missions beyond…
HighFM: Towards a Foundation Model for Learning Representations from High-Frequency Earth Observation Data
Stella Girtsou, Konstantinos Alexis, Giorgos Giannopoulos +1
The increasing frequency and severity of climate related disasters have intensified the need for real time monitoring, early warning, and informed decision-making. Earth Observatio…
Distilling Vision Transformers for Distortion-Robust Representation Learning
Konstantinos Alexis, Giorgos Giannopoulos, Dimitrios Gunopulos
Self-supervised learning has achieved remarkable success in learning visual representations from clean data, yet remains challenging when clean observations are sparse or not avail…
GLANCE: Global Actions in a Nutshell for Counterfactual Explainability
Loukas Kavouras, Eleni Psaroudaki, Konstantinos Tsopelas +9
The widespread deployment of machine learning systems in critical real-world decision-making applications has highlighted the urgent need for counterfactual explainability methods…