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researcher

K. L. D. Ipiña

3 papers here

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

author position
  • first author2
  • last author1

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

fields
  • cs.SD3

identity via Semantic Scholar / OpenAlex

most citedAnalysis of Disfluencies for automatic detection of Mild Cognitive Impartment: a deep learning approach

21 citations · 52 across the 3 of their papers we have counts for

collaborators

3 papers

cs.SD2022★ 21 cited

Analysis of Disfluencies for automatic detection of Mild Cognitive Impartment: a deep learning approach

Karmele Lopez-de-Ipiña, Unai Martinez de Lizarduy, Pilar Calvo +5

The so-called Mild Cognitive Impairment (MCI) or cognitive loss appears in a previous stage before Alzheimer's Disease (AD), but it does not seem sufficiently severe to interfere i…

cs.SD2022★ 19 cited

Perceptual Features as Markers of Parkinson's Disease: The Issue of Clinical Interpretability

Jiri Mekyska, Zdenek Smekal, Zoltan Galaz +4

Up to 90% of patients with Parkinson's disease (PD) suffer from hypokinetic dysathria (HD) which is also manifested in the field of phonation. Clinical signs of HD like monoloudnes…

cs.SD2022★ 12 cited

Automatic analysis of Categorical Verbal Fluency for Mild Cognitive Impartment detection: a non-linear language independent approach

Karmele López-De-Ipiña, Unai Martinez de Lizarduy, Nora Barroso +4

Alzheimer's disease (AD) is one the main causes of dementia in the world and the patients develop severe disability and sometime full dependence. In previous stages Mild Cognitive…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.