SLISEMAP: Supervised dimensionality reduction through local explanations

1 code implementation • 12 Jan 2022 • Anton Björklund, Jarmo Mäkelä, Kai Puolamäki

Existing methods for explaining black box learning models often focus on building local explanations of model behaviour for a particular data item.

Classification Explainable Models +1

Interactive Causal Structure Discovery in Earth System Sciences

1 code implementation • 1 Jul 2021 • Laila Melkas, Rafael Savvides, Suyog Chandramouli, Jarmo Mäkelä, Tuomo Nieminen, Ivan Mammarella, Kai Puolamäki

We present a workflow that is required to take this knowledge into account and to apply CSD algorithms in Earth system sciences.