most citedConcept-based explainability for an EEG transformer model

5 citations · 5 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2023★ 5 cited

Concept-based explainability for an EEG transformer model

Anders Gjølbye, William Lehn-Schiøler, Áshildur Jónsdóttir +2

Deep learning models are complex due to their size, structure, and inherent randomness in training procedures. Additional complexity arises from the selection of datasets and induc…