Session 4: AI for Astronomy & Space Events
Session Chair: Dragi Kocev, BVLabs/JSI
Starts at 14:15
K4:20’+6 | AI in Space in an Age of Deep Industrial Transformation | Lucien Rapp | University of Toulouse 1/HEC |
P13:10’+3 | SEPARATING STARS FROM QUASARS: MACHINE LEARNING INVESTIGATION USING PHOTOMETRIC DATA | Snehanshu Saha | BITS Pilani, India |
P14:10’+3 | MACHINE LEARNING IN HELIOPHYSICAL APPLICATIONS: THE EXAMPLE OF UNSUPERVISED SOLAR WIND CLASSIFICATION | Jorge Amaya | KULeuven, Belgium |
P15: 7’+3 | AIDA: AI DATA ANALYSIS WITH APPLICATION TO THE DETECTION AND PREDICTION OF SPACE EVENTS | Giovanni Lapenta | KULeuven, Belgium |
P16: 7’+3 | A DEEP LEARNING APPROACH TO SPACE WEATHER PROXY FORECASTING FOR ORBITAL PREDICTION | Emma Stevenson | UP Madrid, Spain |