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Zoltan Galaz
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2020 – today
- 2025
- [j12]Michal Gavenciak, Jan Mucha, Jirí Mekyska, Zoltan Galaz, Katarina Zvoncakova, Marcos Faúndez-Zanuy:
Computer-Aided Diagnosis of Graphomotor Difficulties Utilizing Direction-Based Fractional Order Derivatives. Cogn. Comput. 17(1): 13 (2025) - 2024
- [j11]Daniel Kovac
, Jirí Mekyska
Exploring digital speech biomarkers of hypokinetic dysarthria in a multilingual cohort. Biomed. Signal Process. Control. 88(Part B): 105667 (2024) - [i10]Daniel Kovac, Jan Mucha, Jon Álvarez Justo, Jirí Mekyska
Deep Learning for In-Orbit Cloud Segmentation and Classification in Hyperspectral Satellite Data. CoRR abs/2403.08695 (2024) - [i9]Jirí Mekyska
Graphomotor and Handwriting Disabilities Rating Scale (GHDRS):towards complex and objective assessment. CoRR abs/2405.17886 (2024) - [i8]Jirí Mekyska, Zoltan Galaz, Katarina Safarova, Vojtech Zvoncak, Lukas Cunek, Tomás Urbánek, Jana Marie Havigerova, Jirina Bednarova, Jan Mucha, Michal Gavenciak, Zdenek Smékal, Marcos Faúndez-Zanuy:
Assessment of Developmental Dysgraphia Utilising a Display Tablet. CoRR abs/2410.18230 (2024) - 2023
- [c21]Jirí Mekyska
Assessment of Developmental Dysgraphia Utilising a Display Tablet. IGS 2023: 21-35 - [c20]Marek Mikulec, Lubos Brabenec, Jirí Mekyska
Indirect Assessment of Hyperechogenicity of Substantia Nigra Utilizing Sleep-based Biomarkers. SITA 2023: 1-6 - [i7]Jan Mucha, Zoltan Galaz, Jirí Mekyska
Exploration of Various Fractional Order Derivatives in Parkinson's Disease Dysgraphia Analysis. CoRR abs/2301.08529 (2023) - [i6]Zoltan Galaz, Jirí Mekyska
Prodromal Diagnosis of Lewy Body Diseases Based on the Assessment of Graphomotor and Handwriting Difficulties. CoRR abs/2301.08534 (2023) - 2022
- [j10]Zoltan Galaz, Peter Drotár, Jirí Mekyska
Comparison of CNN-Learned vs. Handcrafted Features for Detection of Parkinson's Disease Dysgraphia in a Multilingual Dataset. Frontiers Neuroinformatics 16: 877139 (2022) - [c19]Zoltan Galaz
Prodromal Diagnosis of Lewy Body Diseases Based on the Assessment of Graphomotor and Handwriting Difficulties. IGS 2022: 255-268 - [c18]Jan Mucha
Exploration of Various Fractional Order Derivatives in Parkinson's Disease Dysgraphia Analysis. IGS 2022: 308-321 - [c17]Michal Gavenciak, Vojtech Zvoncak, Jirí Mekyska
Exploring the Contribution of Isochrony-based Features to Computerized Assessment of Handwriting Disabilities. TSP 2022: 355-359 - [c16]Marek Mikulec
Prodromal Diagnosis of Lewy Body Diseases Based on Actigraphy. TSP 2022: 403-406 - [i5]Jirí Mekyska
Assessing Progress of Parkinson s Disease Using Acoustic Analysis of Phonation. CoRR abs/2203.09295 (2022) - [i4]Jan Mucha, Zoltan Galaz, Jirí Mekyska
Identification of Hypokinetic Dysarthria Using Acoustic Analysis of Poem Recitation. CoRR abs/2203.09880 (2022) - [i3]Jirí Mekyska
Perceptual Features as Markers of Parkinson's Disease: The Issue of Clinical Interpretability. CoRR abs/2203.10830 (2022) - 2021
- [c15]Daniel Kovac, Jirí Mekyska
Multilingual Analysis of Speech and Voice Disorders in Patients with Parkinson's Disease. TSP 2021: 273-277 - [c14]Marek Mikulec
Automatic Segmentation of Actigraphy Data Utilising Gradient Boosting Algorithm. TSP 2021: 399-402 - 2020
- [j9]Zoltan Galaz
Advanced Parametrization of Graphomotor Difficulties in School-Aged Children. IEEE Access 8: 112883-112897 (2020) - [j8]Jan Mucha
Analysis of Various Fractional Order Derivatives Approaches in Assessment of Graphomotor Difficulties. IEEE Access 8: 218234-218244 (2020) - [j7]Pavol Harár
Towards robust voice pathology detection. Neural Comput. Appl. 32(20): 15747-15757 (2020) - [j6]Pavol Harár
Correction to: Towards robust voice pathology detection. Neural Comput. Appl. 32(20): 15759 (2020)
2010 – 2019
- 2019
- [j5]Pedro Gómez Vilda
Vowel Articulation Dynamic Stability Related to Parkinson's Disease Rating Features: Male Dataset. Int. J. Neural Syst. 29(2): 1850037:1-1850037:13 (2019) - [c13]Jan Mucha
Analysis of Parkinson's Disease Dysgraphia Based on Optimized Fractional Order Derivative Features. EUSIPCO 2019: 1-5 - [c12]Jirí Mekyska
Computerised Assessment of Graphomotor Difficulties in a Cohort of School-aged Children. ICUMT 2019: 1-6 - [c11]Vojtech Zvoncak, Jan Mucha
Fractional Order Derivatives Evaluation in Computerized Assessment of Handwriting Difficulties in School-aged Children. ICUMT 2019: 1-6 - [i2]Pavol Harár
Voice Pathology Detection Using Deep Learning: a Preliminary Study. CoRR abs/1907.05905 (2019) - [i1]Pavol Harár
Towards Robust Voice Pathology Detection. CoRR abs/1907.06129 (2019) - 2018
- [j4]Jirí Mekyska
Quantitative Analysis of Relationship Between Hypokinetic Dysarthria and the Freezing of Gait in Parkinson's Disease. Cogn. Comput. 10(6): 1006-1018 (2018) - [c10]Tomas Kiska, Zoltan Galaz
Music Information Retrieval Techniques for Determining the Place of Origin of a Music Interpretation. ICUMT 2018: 1-5 - [c9]Jan Mucha
Advanced Parkinson's Disease Dysgraphia Analysis Based on Fractional Derivatives of Online Handwriting. ICUMT 2018: 1-6 - [c8]Vojtech Zvoncak
Effect of Stroke-level Intra-writer Normalization on Computerized Assessment of Developmental Dysgraphia. ICUMT 2018: 1-5 - [c7]Zoltan Galaz
Monitoring Progress of Parkinson's Disease Based on Changes in Phonation: a Pilot Study. TSP 2018: 1-5 - [c6]Jan Mucha
Fractional Derivatives of Online Handwriting: A New Approach of Parkinsonic Dysgraphia Analysis. TSP 2018: 1-4 - 2017
- [j3]Pedro Gómez Vilda
Parkinson Disease Detection from Speech Articulation Neuromechanics. Frontiers Neuroinformatics 11: 56 (2017) - [j2]Jirí Mekyska
Identification and Rating of Developmental Dysgraphia by Handwriting Analysis. IEEE Trans. Hum. Mach. Syst. 47(2): 235-248 (2017) - [c5]Pavol Harár
Voice Pathology Detection Using Deep Learning: a Preliminary Study. IWOBI 2017: 1-4 - [c4]Zoltan Galaz
Assessing freezing of gait in parkinson's disease using analysis of hypokinetic dysarthria. TSP 2017: 735-738 - [c3]Jan Mucha
Identification of hypokinetic dysarthria using acoustic analysis of poem recitation. TSP 2017: 739-742 - 2016
- [j1]Zoltan Galaz
Prosodic analysis of neutral, stress-modified and rhymed speech in patients with Parkinson's disease. Comput. Methods Programs Biomed. 127: 301-317 (2016) - [c2]Zoltan Galaz
Degree of Parkinson's disease severity estimation based on speech signal processing. TSP 2016: 503-506 - [p1]Jirí Mekyska, Zdenek Smékal, Zoltan Galaz, Zdenek Mzourek, Irena Rektorová, Marcos Faúndez-Zanuy, Karmele López de Ipiña:
Perceptual Features as Markers of Parkinson's Disease: The Issue of Clinical Interpretability. Recent Advances in Nonlinear Speech Processing 2016: 83-91 - 2015
- [c1]Jirí Mekyska, Zoltan Galaz
Assessing progress of Parkinson's disease using acoustic analysis of phonation. IWOBI 2015: 111-118
Coauthor Index
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