14 citations · 21 across the 4 of their papers we have counts for
4 papers
From ML Predictions to Informed Diagnostic Assistance Using the Toulmin Model of Argumentation
Anca Marginean, Adrian Groza
To provide a structured and interpretable assessment, we decompose the image-based diagnosis into components following the Toulmin model of argumentation. This model consists of a…
Brave new world: Artificial Intelligence in teaching and learning
Adrian Groza, Anca Marginean
We exemplify how Large Language Models are used in both teaching and learning. We also discuss the AI incidents that have already occurred in the education domain, and we argue for…
A Machine Learning Enhanced Approach for Automated Sunquake Detection in Acoustic Emission Maps
Vanessa Mercea, Alin Razvan Paraschiv, Daniela Adriana Lacatus +2
Sunquakes are seismic emissions visible on the solar surface, associated with some solar flares. Although discovered in 1998, they have only recently become a more commonly detecte…
Predicting the Geoeffectiveness of CMEs Using Machine Learning
Andreea-Clara Pricopi, Alin Razvan Paraschiv, Diana Besliu-Ionescu +1
Coronal mass ejections (CMEs) are the most geoeffective space weather phenomena, being associated with large geomagnetic storms, having the potential to cause disturbances to telec…