Zoltan Galaz

According to our database, Zoltan Galaz authored at least 35 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Exploring digital speech biomarkers of hypokinetic dysarthria in a multilingual cohort.

Daniel Kovac, Jirí Mekyska, Vered Aharonson, Pavol Harár, Zoltan Galaz, Steven Z. Rapcsak, Juan Rafael Orozco-Arroyave, Lubos Brabenec, Irena Rektorová

Biomed. Signal Process. Control., February, 2024

Deep Learning for In-Orbit Cloud Segmentation and Classification in Hyperspectral Satellite Data.

Daniel Kovac, Jan Mucha, Jon Álvarez Justo, Jirí Mekyska, Zoltan Galaz, Krystof Novotny, Radoslav Pitonak, Jan Knezík, Jonas Herec, Tor Arne Johansen

CoRR, 2024

2023

Indirect Assessment of Hyperechogenicity of Substantia Nigra Utilizing Sleep-based Biomarkers.

Marek Mikulec, Lubos Brabenec, Jirí Mekyska, Katerina Bocková, Zoltan Galaz, Irena Rektorová

Proceedings of the 14th International Conference on Intelligent Systems: Theories and Applications, 2023

Assessment of Developmental Dysgraphia Utilising a Display Tablet.

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

Proceedings of the Graphonomics in Human Body Movement. Bridging Research and Practice from Motor Control to Handwriting Analysis and Recognition, 2023

2022

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

Zoltan Galaz, Peter Drotár, Jirí Mekyska, Matej Gazda, Jan Mucha, Vojtech Zvoncak, Zdenek Smékal, Marcos Faúndez-Zanuy, Reinel Castrillon, Juan Rafael Orozco-Arroyave, Steven Z. Rapcsak, Tamas Kincses, Lubos Brabenec, Irena Rektorová

Frontiers Neuroinformatics, 2022

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

Jirí Mekyska, Zdenek Smékal, Zoltan Galaz, Zdenek Mzourek, Irena Rektorová, Marcos Faúndez-Zanuy, Karmele López de Ipiña

CoRR, 2022

Prodromal Diagnosis of Lewy Body Diseases Based on Actigraphy.

Marek Mikulec, Zoltan Galaz, Jirí Mekyska, Jan Mucha, Lubos Brabenec, Ivona Moravkova, Irena Rektorová

Proceedings of the 45th International Conference on Telecommunications and Signal Processing, 2022

Exploring the Contribution of Isochrony-based Features to Computerized Assessment of Handwriting Disabilities.

Michal Gavenciak, Vojtech Zvoncak, Jirí Mekyska, Katarina Safarova, Lukas Cunek, Tomás Urbánek, Jana Marie Havigerova, Jirina Bednarova, Zoltan Galaz, Jan Mucha

Proceedings of the 45th International Conference on Telecommunications and Signal Processing, 2022

Exploration of Various Fractional Order Derivatives in Parkinson's Disease Dysgraphia Analysis.

Jan Mucha, Zoltan Galaz, Jirí Mekyska, Marcos Faúndez-Zanuy, Vojtech Zvoncak, Zdenek Smékal, Lubos Brabenec, Irena Rektorová

Proceedings of the Intertwining Graphonomics with Human Movements, 2022

Prodromal Diagnosis of Lewy Body Diseases Based on the Assessment of Graphomotor and Handwriting Difficulties.

Zoltan Galaz, Jirí Mekyska, Jan Mucha, Vojtech Zvoncak, Zdenek Smékal, Marcos Faúndez-Zanuy, Lubos Brabenec, Ivona Moravkova, Irena Rektorová

Proceedings of the Intertwining Graphonomics with Human Movements, 2022

2021

Automatic Segmentation of Actigraphy Data Utilising Gradient Boosting Algorithm.

Marek Mikulec, Jirí Mekyska, Jan Sigmund, Zoltan Galaz, Lubos Brabenec, Ivona Moravkova, Irena Rektorová

Proceedings of the 44th International Conference on Telecommunications and Signal Processing, 2021

Multilingual Analysis of Speech and Voice Disorders in Patients with Parkinson's Disease.

Daniel Kovac, Jirí Mekyska, Zoltan Galaz, Lubos Brabenec, Milena Kostalova, Steven Z. Rapcsak, Irena Rektorová

Proceedings of the 44th International Conference on Telecommunications and Signal Processing, 2021

2020

Correction to: Towards robust voice pathology detection.

Pavol Harár, Zoltan Galaz, Jesús Bernardino Alonso Hernández, Jirí Mekyska, Radim Burget, Zdenek Smékal

Neural Comput. Appl., 2020

Towards robust voice pathology detection.

Pavol Harár, Zoltan Galaz, Jesús Bernardino Alonso Hernández, Jirí Mekyska, Radim Burget, Zdenek Smékal

Neural Comput. Appl., 2020

Analysis of Various Fractional Order Derivatives Approaches in Assessment of Graphomotor Difficulties.

Jan Mucha, Jirí Mekyska, Zoltan Galaz, Marcos Faúndez-Zanuy, Vojtech Zvoncak, Katarina Safarova, Tomás Urbánek, Jana Marie Havigerova, Jirina Bednarova, Zdenek Smékal

IEEE Access, 2020

Advanced Parametrization of Graphomotor Difficulties in School-Aged Children.

Zoltan Galaz, Jan Mucha, Vojtech Zvoncak, Jirí Mekyska, Zdenek Smékal, Katarina Safarova, Anezka Ondrackova, Tomás Urbánek, Jana Marie Havigerova, Jirina Bednarova, Marcos Faúndez-Zanuy

IEEE Access, 2020

2019

Vowel Articulation Dynamic Stability Related to Parkinson's Disease Rating Features: Male Dataset.

Pedro Gómez Vilda, Zoltan Galaz, Jirí Mekyska, José Manuel Ferrández de Vicente, Andrés Gómez-Rodellar, Daniel Palacios-Alonso, Zdenek Smékal, Ilona Eliasova, Milena Kostalova, Irena Rektorová

Int. J. Neural Syst., 2019

Fractional Order Derivatives Evaluation in Computerized Assessment of Handwriting Difficulties in School-aged Children.

Vojtech Zvoncak, Jan Mucha, Zoltan Galaz, Jirí Mekyska, Katarina Safarova, Marcos Faúndez-Zanuy, Zdenek Smékal

Proceedings of the 11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, 2019

Computerised Assessment of Graphomotor Difficulties in a Cohort of School-aged Children.

Jirí Mekyska, Jirina Bednarova, Marcos Faúndez-Zanuy, Zoltan Galaz, Katarina Safarova, Vojtech Zvoncak, Jan Mucha, Zdenek Smékal, Anezka Ondrackova, Tomás Urbánek, Jana Marie Havigerova

Proceedings of the 11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, 2019

Analysis of Parkinson's Disease Dysgraphia Based on Optimized Fractional Order Derivative Features.

Jan Mucha, Karmele López de Ipiña, Marcos Faúndez-Zanuy, Jirí Mekyska, Vojtech Zvoncak, Zoltan Galaz, Tomas Kiska, Zdenek Smékal, Lubos Brabenec, Irena Rektorová

Proceedings of the 27th European Signal Processing Conference, 2019

2018

Quantitative Analysis of Relationship Between Hypokinetic Dysarthria and the Freezing of Gait in Parkinson's Disease.

Jirí Mekyska, Zoltan Galaz, Tomas Kiska, Vojtech Zvoncak, Jan Mucha, Zdenek Smékal, Ilona Eliasova, Milena Kostalova, Martina Mrackova, Dagmar Fiedorova, Marcos Faúndez-Zanuy, Jordi Solé-Casals, Pedro Gómez Vilda, Irena Rektorová

Cogn. Comput., 2018

Fractional Derivatives of Online Handwriting: A New Approach of Parkinsonic Dysgraphia Analysis.

Jan Mucha, Vojtech Zvoncak, Zoltan Galaz, Marcos Faúndez-Zanuy, Jirí Mekyska, Tomas Kiska, Zdenek Smékal, Lubos Brabenec, Irena Rektorová, Karmele López de Ipiña

Proceedings of the 41st International Conference on Telecommunications and Signal Processing, 2018

Monitoring Progress of Parkinson's Disease Based on Changes in Phonation: a Pilot Study.

Zoltan Galaz, Jirí Mekyska, Tomas Kiska, Vojtech Zvoncak, Jan Mucha, Pavol Harár, Zdenek Smékal, Ilona Eliasova, Martina Mrackova, Milena Kostalova, Irena Rektorová, Marcos Faúndez-Zanuy, Jesús Bernardino Alonso Hernández, Pedro Gómez Vilda

Proceedings of the 41st International Conference on Telecommunications and Signal Processing, 2018

Effect of Stroke-level Intra-writer Normalization on Computerized Assessment of Developmental Dysgraphia.

Vojtech Zvoncak, Jirí Mekyska, Katarina Safarova, Zoltan Galaz, Jan Mucha, Tomas Kiska, Zdenek Smékal, Barbora Losenicka, Barbora Cechova, Pavlina Francova, Marcos Faúndez-Zanuy, Sara Rosenblum

Proceedings of the 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, 2018

Advanced Parkinson's Disease Dysgraphia Analysis Based on Fractional Derivatives of Online Handwriting.

Jan Mucha, Jirí Mekyska, Marcos Faúndez-Zanuy, Karmele López de Ipiña, Vojtech Zvoncak, Zoltan Galaz, Tomas Kiska, Zdenek Smékal, Lubos Brabenec, Irena Rektorová

Proceedings of the 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, 2018

Music Information Retrieval Techniques for Determining the Place of Origin of a Music Interpretation.

Tomas Kiska, Zoltan Galaz, Vojtech Zvoncak, Jan Mucha, Jirí Mekyska, Zdenek Smékal

Proceedings of the 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, 2018

2017

Identification and Rating of Developmental Dysgraphia by Handwriting Analysis.

Jirí Mekyska, Marcos Faúndez-Zanuy, Zdenek Mzourek, Zoltan Galaz, Zdenek Smékal, Sara Rosenblum

IEEE Trans. Hum. Mach. Syst., 2017

Parkinson Disease Detection from Speech Articulation Neuromechanics.

Pedro Gómez Vilda, Jirí Mekyska, José M. Ferrández, Daniel Palacios-Alonso, Andrés Gómez-Rodellar, María Victoria Rodellar Biarge, Zoltan Galaz, Zdenek Smékal, Ilona Eliasova, Milena Kostalova, Irena Rektorová

Frontiers Neuroinformatics, 2017

Identification of hypokinetic dysarthria using acoustic analysis of poem recitation.

Jan Mucha, Zoltan Galaz, Jirí Mekyska, Tomas Kiska, Vojtech Zvoncak, Zdenek Smékal, Ilona Eliasova, Martina Mrackova, Milena Kostalova, Irena Rektorová, Marcos Faúndez-Zanuy, Jesús Bernardino Alonso Hernández

Proceedings of the 40th International Conference on Telecommunications and Signal Processing, 2017

Assessing freezing of gait in parkinson's disease using analysis of hypokinetic dysarthria.

Zoltan Galaz, Jirí Mekyska, Tomas Kiska, Vojtech Zvoncak, Jan Mucha, Zdenek Smékal, Ilona Eliasova, Martina Mrackova, Milena Kostalova, Irena Rektorová, Marcos Faúndez-Zanuy

Proceedings of the 40th International Conference on Telecommunications and Signal Processing, 2017

Voice Pathology Detection Using Deep Learning: a Preliminary Study.

Pavol Harár, Jesús Bernardino Alonso Hernández, Jirí Mekyska, Zoltan Galaz, Radim Burget, Zdenek Smékal

Proceedings of the International Conference and Workshop on Bioinspired Intelligence, 2017

2016

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

Jirí Mekyska, Zdenek Smékal, Zoltan Galaz, Zdenek Mzourek, Irena Rektorová, Marcos Faúndez-Zanuy, Karmele López de Ipiña

Proceedings of the Recent Advances in Nonlinear Speech Processing, 2016

Prosodic analysis of neutral, stress-modified and rhymed speech in patients with Parkinson's disease.

Zoltan Galaz, Jirí Mekyska, Zdenek Mzourek, Zdenek Smékal, Irena Rektorová, Ilona Eliasova, Milena Kostalova, Martina Mrackova, Dagmar Berankova

Comput. Methods Programs Biomed., 2016

Degree of Parkinson's disease severity estimation based on speech signal processing.

Zoltan Galaz, Zdenek Mzourek, Jirí Mekyska, Zdenek Smékal, Tomas Kiska, Irena Rektorová, Juan Rafael Orozco-Arroyave, Khalid Daoudi

Proceedings of the 39th International Conference on Telecommunications and Signal Processing, 2016

2015

Assessing progress of Parkinson's disease using acoustic analysis of phonation.

Jirí Mekyska, Zoltan Galaz, Zdenek Mzourek, Zdenek Smékal, Irena Rektorová, Ilona Eliasova, Milena Kostalova, Martina Mrackova, Dagmar Berankova, Marcos Faúndez-Zanuy, Karmele López de Ipiña, Jesús Bernardino Alonso Hernández

Proceedings of the 4th International Work Conference on Bioinspired Intelligence, 2015