no code implementations • 28 Nov 2023 • Gonzalo Uribarri, Simon Ekman von Huth, Josefine Waldthaler, Per Svenningsson, Erik Fransén
In the present work, we investigate the use of state-of-the-art deep learning algorithms to perform Parkinson's disease classification using eye-tracking data from saccade experiments.
1 code implementation • 25 Sep 2023 • Gonzalo Uribarri, Federico Barone, Alessio Ansuini, Erik Fransén
When applied to the largest binary UCR dataset, Detach-ROCKET is able to improve test accuracy by $0. 6\%$ while reducing the number of features by $98. 9\%$.