1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2024★ 1 cited
This Looks Better than That: Better Interpretable Models with ProtoPNeXt
Frank Willard, Luke Moffett, Emmanuel Mokel +6
Prototypical-part models are a popular interpretable alternative to black-box deep learning models for computer vision. However, they are difficult to train, with high sensitivity…
eess.SP2023★ 1 cited
ProtoEEGNet: An Interpretable Approach for Detecting Interictal Epileptiform Discharges
Dennis Tang, Frank Willard, Ronan Tegerdine +8
In electroencephalogram (EEG) recordings, the presence of interictal epileptiform discharges (IEDs) serves as a critical biomarker for seizures or seizure-like events.Detecting IED…