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Using multiple instance learning for explainable solar flare prediction

Melchior, M.; Huwyler, C.

In this work we leverage a weakly-labeled dataset of spectral data from NASA's IRIS satellite for the prediction of solar flares using the Multiple Instance Learning (MIL) paradigm. While standard supervised learning models expect a label for every instance, MIL relaxes this and only considers bags of instances to be labeled. This is ideally suite…