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cs.LG2026
Representational and Functional Robustness to Electrode Montages in EEG Foundation Models
Jakob Steglich, Justus Meyer zu Bexten, Shakiba Moradi +3
EEG foundation models (EEG-FMs) are intended to generalize across different datasets by learning representations that, ideally, are invariant to dataset-specific EEG configurations…
cs.LG2024★ 3 cited
xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology
Julius Hense, Mina Jamshidi Idaji, Oliver Eberle +7
Multiple instance learning (MIL) is an effective and widely used approach for weakly supervised machine learning. In histopathology, MIL models have achieved remarkable success in…