Session 4: AI for Astronomy & Space Events

Session Chair: Dragi Kocev, BVLabs/JSI

Starts at 14:15

K4:20’+6AI in Space in an Age of Deep Industrial Transformation Lucien RappUniversity of Toulouse 1/HEC
P13:10’+3SEPARATING STARS FROM QUASARS: MACHINE LEARNING INVESTIGATION USING PHOTOMETRIC DATA Snehanshu SahaBITS Pilani, India
P14:10’+3  MACHINE LEARNING IN HELIOPHYSICAL APPLICATIONS: THE EXAMPLE OF UNSUPERVISED SOLAR WIND CLASSIFICATIONJorge AmayaKULeuven, Belgium
P15: 7’+3AIDA: AI DATA ANALYSIS WITH APPLICATION TO THE DETECTION AND PREDICTION OF SPACE EVENTSGiovanni LapentaKULeuven, Belgium
P16: 7’+3A DEEP LEARNING APPROACH TO SPACE WEATHER PROXY FORECASTING FOR ORBITAL PREDICTIONEmma StevensonUP Madrid, Spain