10 citations · 10 across the 3 of their papers we have counts for
4 papers
Prediction of Grade, Gender, and Academic Performance of Children and Teenagers from Handwriting Using the Sigma-Lognormal Model
Adrian Iste, Kazuki Nishizawa, Chisa Tanaka +4
Digital handwriting acquisition enables the capture of detailed temporal and kinematic signals reflecting the motor processes underlying writing behavior. While handwriting analysi…
From Pen Strokes to Sleep States: Detecting Low-Recovery Days Using Sigma-Lognormal Handwriting Features
Chisa Tanaka, Andrew Vargo, Anna Scius-Bertrand +2
While handwriting has traditionally been studied for character recognition and disease classification, its potential to reflect day-to-day physiological fluctuations in healthy ind…
CTC Transcription Alignment of the Bullinger Letters: Automatic Improvement of Annotation Quality
Marco Peer, Anna Scius-Bertrand, Andreas Fischer
Handwritten text recognition for historical documents remains challenging due to handwriting variability, degraded sources, and limited layout-aware annotations. In this work, we a…
Zero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models
Anna Scius-Bertrand, Michael Jungo, Lars Vögtlin +2
Classifying scanned documents is a challenging problem that involves image, layout, and text analysis for document understanding. Nevertheless, for certain benchmark datasets, nota…