Cartesian genetic programming for diagnosis of Parkinson disease through handwriting analysis: Performance vs. interpretability issues

A Parziale, R Senatore, A Della Cioppa… - Artificial intelligence in …, 2021 - Elsevier
In the last decades, early disease identification through non-invasive and automatic
methodologies has gathered increasing interest from the scientific community. Among …

Urdu handwritten text recognition: a survey

M Husnain, MM Saad Missen, S Mumtaz… - IET Image …, 2020 - Wiley Online Library
Work on the problem of handwritten text recognition in Urdu script has been an active
research area. A significant progress is made in this interesting and challenging field in the …

Transcription of spanish historical handwritten documents with deep neural networks

E Granell, E Chammas, L Likforman-Sulem… - Journal of …, 2018 - mdpi.com
The digitization of historical handwritten document images is important for the preservation
of cultural heritage. Moreover, the transcription of text images obtained from digitization is …

HDSR-Flor: a robust end-to-end system to solve the handwritten digit string recognition problem in real complex scenarios

AFDS Neto, BLD Bezerra, EB Lima, AH Toselli - IEEE Access, 2020 - ieeexplore.ieee.org
Automatic handwriting recognition systems are of interest for academic research fields and
for commercial applications. Recent advances in deep learning techniques have shown …

Automatic diagnosis of neurodegenerative diseases: An evolutionary approach for facing the interpretability problem

R Senatore, A Della Cioppa, A Marcelli - Information, 2019 - mdpi.com
Background: The use of Artificial Intelligence (AI) systems for automatic diagnoses is
increasingly in the clinical field, being a useful support for the identification of several …

Writing order recovery in complex and long static handwriting

M Diaz, G Crispo, A Parziale, A Marcelli… - arXiv preprint arXiv …, 2024 - arxiv.org
The order in which the trajectory is executed is a powerful source of information for
recognizers. However, there is still no general approach for recovering the trajectory of …

GMM posterior features for improving online handwriting recognition

S Mandal, SRM Prasanna, S Sundaram - Expert systems with applications, 2018 - Elsevier
An online handwriting recognition (HR) system is usually developed considering point-
based features that describe different geometric attributes of handwriting. Often, due to the …

Automatic diagnosis of Parkinson disease through handwriting analysis: A cartesian genetic programming approach

R Senatore, A Della Cioppa… - 2019 IEEE 32nd …, 2019 - ieeexplore.ieee.org
Early disease identification through non-invasive and automatic techniques has gathered
increasing interest by the scientific community in the last decades. In this context, Parkinsons …

Exploring speed–accuracy tradeoff in reaching movements: a neurocomputational model

A Parziale, R Senatore, A Marcelli - Neural Computing and Applications, 2020 - Springer
The tradeoff between speed and accuracy of human movements has been exploited from
many different perspectives, such as experimental psychology, workspace design, human …

Process of handwriting recognition and related apparatus

A Marcelli, A Santoro, C De Stefano, A Parziale… - US Patent …, 2017 - Google Patents
Process, and related apparatus, that exploits psycho-physiological aspects involved in
generation and perception of handwriting for directly inferring from the trace on the paper (or …