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Comparison of CNN-Learned vs. Handcrafted Features for Detection of Parkinson's Disease Dysgraphia in a Multilingual Dataset.

Z. Galaz, P. Drotár, J. Mekyska, M. Gazda, J. Mucha, V. Zvoncak, Z. Smékal, M. Faúndez-Zanuy, R. Castrillon, J. Orozco-Arroyave, S. Rapcsak, T. Kincses, L. Brabenec, and I. Rektorová. Frontiers Neuroinformatics, (2022)

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Zoltan Pentelencik

Zoltán Boronkai

Zoltan Megyesi

Zoltan Földvari

Nagy Zoltan

Other publications of authors with the same name

Voice Pathology Detection Using Deep Learning: a Preliminary Study.P. Harár, J. Hernández, J. Mekyska, Z. Galaz, R. Burget, and Z. Smékal. IWOBI, page 1-4. IEEE, (2017)Fractional Derivatives of Online Handwriting: A New Approach of Parkinsonic Dysgraphia Analysis.J. Mucha, V. Zvoncak, Z. Galaz, M. Faúndez-Zanuy, J. Mekyska, T. Kiska, Z. Smékal, L. Brabenec, I. Rektorová, and K. de Ipiña. TSP, page 1-4. IEEE, (2018)Monitoring Progress of Parkinson's Disease Based on Changes in Phonation: a Pilot Study.Z. Galaz, J. Mekyska, T. Kiska, V. Zvoncak, J. Mucha, P. Harár, Z. Smékal, I. Eliasova, M. Mrackova, M. Kostalova and 4 other author(s). TSP, page 1-5. IEEE, (2018)Music Information Retrieval Techniques for Determining the Place of Origin of a Music Interpretation.T. Kiska, Z. Galaz, V. Zvoncak, J. Mucha, J. Mekyska, and Z. Smékal. ICUMT, page 1-5. IEEE, (2018)Correction to: Towards robust voice pathology detection.P. Harár, Z. Galaz, J. Hernández, J. Mekyska, R. Burget, and Z. Smékal. Neural Comput. Appl., 32 (20): 15759 (2020)Advanced Parametrization of Graphomotor Difficulties in School-Aged Children.Z. Galaz, J. Mucha, V. Zvoncak, J. Mekyska, Z. Smékal, K. Safarova, A. Ondrackova, T. Urbánek, J. Havigerova, J. Bednarova and 1 other author(s). IEEE Access, (2020)Identification of Hypokinetic Dysarthria Using Acoustic Analysis of Poem Recitation.J. Mucha, Z. Galaz, J. Mekyska, T. Kiska, V. Zvoncak, Z. Smékal, I. Eliasova, M. Mrackova, M. Kostalova, I. Rektorová and 2 other author(s). CoRR, (2022)Parkinson Disease Detection from Speech Articulation Neuromechanics.P. Vilda, J. Mekyska, J. Ferrández, D. Palacios-Alonso, A. Gómez-Rodellar, M. Biarge, Z. Galaz, Z. Smékal, I. Eliasova, M. Kostalova and 1 other author(s). Frontiers Neuroinformatics, (2017)Perceptual Features as Markers of Parkinson's Disease: The Issue of Clinical Interpretability.J. Mekyska, Z. Smékal, Z. Galaz, Z. Mzourek, I. Rektorová, M. Faúndez-Zanuy, and K. de Ipiña. Recent Advances in Nonlinear Speech Processing, volume 48 of Smart Innovation, Systems and Technologies, Springer, (2016)Analysis of Parkinson's Disease Dysgraphia Based on Optimized Fractional Order Derivative Features.J. Mucha, K. de Ipiña, M. Faúndez-Zanuy, J. Mekyska, V. Zvoncak, Z. Galaz, T. Kiska, Z. Smékal, L. Brabenec, and I. Rektorová. EUSIPCO, page 1-5. IEEE, (2019)

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Disambiguation of "Galaz, Zoltan"

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Comparison of CNN-Learned vs. Handcrafted Features for Detection of Parkinson's Disease Dysgraphia in a Multilingual Dataset.

Please choose a person to relate this publication to

Zoltan Pentelencik

Zoltán Boronkai

Zoltan Megyesi

Zoltan Földvari

Nagy Zoltan

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Galaz, Zoltan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Comparison of CNN-Learned vs. Handcrafted Features for Detection of Parkinson's Disease Dysgraphia in a Multilingual Dataset.

Please choose a person to relate this publication to

Zoltan Pentelencik

Zoltán Boronkai

Zoltan Megyesi

Zoltan Földvari

Nagy Zoltan

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
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Comparison of CNN-Learned vs. Handcrafted Features for Detection of Parkinson's Disease Dysgraphia in a Multilingual Dataset.