Javascript must be enabled for the correct page display

Uncertainty Quantification Methods for Dysgraphia Detection with Deep Learning

Ropot, Cristina Alexandra (2024) Uncertainty Quantification Methods for Dysgraphia Detection with Deep Learning. Bachelor's Thesis, Artificial Intelligence.

[img] Text
s4279956CristinaRopotThesis-1.pdf
Restricted to Registered users only

Download (1MB)

Abstract

De begeleider en/of auteur heeft geen toestemming gegeven tot het openbaar maken van de scriptie. The supervisor and/or the author did not authorize public publication of the thesis.

Item Type: Thesis (Bachelor's Thesis)
Supervisor name: Zullich, M. and Toro, M.G.
Degree programme: Artificial Intelligence
Thesis type: Bachelor's Thesis
Language: English
Date Deposited: 01 Aug 2024 10:41
Last Modified: 01 Aug 2024 10:41
URI: https://fse.studenttheses.ub.rug.nl/id/eprint/33694

Actions (login required)

View Item View Item