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Education and qualifications (2)

University of Salerno: Fisciano, IT

2009 to 2012 | PhD in Information Engineering (DIEM)
Qualification
Source: Self-asserted source
0000-0003-0858-3397

University of Salerno: Fisciano, IT

2000 to 2007 | Master Degree in Electronic Engineering
Qualification
Source: Self-asserted source
0000-0003-0858-3397

Works (12)

A biologically inspired approach for recovering the trajectory of offline handwriting

Memetic Computing
2023-09 | Journal article
Contributors: Rosa Senatore; Adolfo Santoro; Antonio Parziale; Angelo Marcelli
Source: check_circle
Crossref

Movement Analysis for Health and Biometrics

Applied Sciences
2023-05-31 | Journal article
Contributors: Antonio Parziale; Rosa Senatore; Nicole Dalia Cilia
Source: check_circle
Crossref
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Preferred source (of 2)‎

Distinctive Handwriting Signs in Early Parkinson’s Disease

Applied Sciences
2022-12-02 | Journal article
Contributors: Rosa Senatore; Angelo Marcelli; Rosa De Micco; Alessandro Tessitore; Hans-Leo Teulings
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

A biologically inspired approach for recovering the trajectory of off-line handwriting

2022-07-01 | Preprint
Contributors: Rosa Senatore; Adolfo Santoro; Antonio Parziale; Angelo Marcelli
Source: check_circle
Crossref

A neurocomputational model of the basal ganglia for the analysis of motor deficits after dopaminergic loss in Parkinson’s disease

2021-09-24 | Preprint
Contributors: Ilaria Gigi; Rosa Senatore; Angelo Marcelli
Source: check_circle
Crossref

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

Neural Computing and Applications
2020-09-03 | Journal article
Contributors: Antonio Parziale; Rosa Senatore; Angelo Marcelli
Source: check_circle
Crossref

A Decision Tree for Automatic Diagnosis of Parkinson’s Disease from Offline Drawing Samples: Experiments and Findings

2019 | Book chapter
Contributors: Antonio Parziale; Antonio Della Cioppa; Rosa Senatore; Angelo Marcelli
Source: check_circle
Crossref

A paradigm for emulating the early learning stage of handwriting: Performance comparison between healthy controls and Parkinson's disease patients in drawing loop shapes

Human Movement Science
2019 | Journal article
EID:

2-s2.0-85046160846

Contributors: Senatore, R.; Marcelli, A.
Source: Self-asserted source
0000-0003-0858-3397 via Scopus - Elsevier

Automatic Diagnosis of Neurodegenerative Diseases: An evolutionary approach for facing the interpretability problem

Information (Switzerland)
2019 | Journal article
EID:

2-s2.0-85063767849

Contributors: Senatore, R.; Cioppa, A.D.; Marcelli, A.
Source: Self-asserted source
0000-0003-0858-3397 via Scopus - Elsevier

Some observations on handwriting from a motor learning perspective

CEUR Workshop Proceedings
2013 | Conference paper
EID:

2-s2.0-84924811056

Contributors: Marcelli, A.; Parziale, A.; Senatore, R.
Source: Self-asserted source
0000-0003-0858-3397 via Scopus - Elsevier

A neural scheme for procedural motor learning of handwriting

Proceedings - International Workshop on Frontiers in Handwriting Recognition, IWFHR
2012 | Conference paper
EID:

2-s2.0-84874281931

Contributors: Senatore, R.; Marcelli, A.
Source: Self-asserted source
0000-0003-0858-3397 via Scopus - Elsevier

Reading cursive handwriting

Proceedings - 12th International Conference on Frontiers in Handwriting Recognition, ICFHR 2010
2010 | Conference paper
EID:

2-s2.0-79951689162

Contributors: De Stefano, C.; Marcelli, A.; Parziale, A.; Senatore, R.
Source: Self-asserted source
0000-0003-0858-3397 via Scopus - Elsevier