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

103 citations · 145 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CL2021

Gender Recognition in Informal and Formal Language Scenarios via Transfer Learning

Daniel Escobar-Grisales, Juan Camilo Vasquez-Correa, Juan Rafael Orozco-Arroyave

The interest in demographic information retrieval based on text data has increased in the research community because applications have shown success in different sectors such as se…

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.LG2020103 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.LG202042 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…