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researcher

Elmar Nöth

Friedrich-Alexander-Universität Erlangen-Nürnberg

3 papers hereh-index 519.9k citations418 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • eess.AS1
affiliations
  • Friedrich-Alexander-Universität Erlangen-Nürnberg
Homepage

identity via Semantic Scholar / OpenAlex

most citedAnalysis and Evaluation of Handwriting in Patients with Parkinson's Disease Using kinematic, Geometrical, and Non-linear Features

103 citations · 145 across the 2 of their papers we have counts for

collaborators

3 papers

eess.AS2020

Comparison of user models based on GMM-UBM and i-vectors for speech, handwriting, and gait assessment of Parkinson's disease patients

J. C. Vasquez-Correa, T. Bocklet, J. R. Orozco-Arroyave +1

Parkinson's disease is a neurodegenerative disorder characterized by the presence of different motor impairments. Information from speech, handwriting, and gait signals have been c…

cs.LG2020★ 103 cited

Analysis and Evaluation of Handwriting in Patients with Parkinson's Disease Using kinematic, Geometrical, and Non-linear Features

C. D. Rios-Urrego, J. C. Vásquez-Correa, J. F. Vargas-Bonilla +3

Background and objectives: Parkinson's disease is a neurological disorder that affects the motor system producing lack of coordination, resting tremor, and rigidity. Impairments in…

cs.LG2020★ 42 cited

Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson's Disease from Speech in Three Different Languages

J. C. Vásquez-Correa, T. Arias-Vergara, C. D. Rios-Urrego +4

Parkinson's disease patients develop different speech impairments that affect their communication capabilities. The automatic assessment of the speech of the patients allows the de…

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