Pavol Harár

According to our database, Pavol Harár authored at least 15 papers between 2016 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

2023

FakET: Simulating Cryo-Electron Tomograms with Neural Style Transfer.

Pavol Harár, Lukas Herrmann, Philipp Grohs, David Haselbach

CoRR, 2023

2022

Redistributor: Transforming Empirical Data Distributions.

Pavol Harár, Dennis Elbrächter, Monika Dörfler, Kory D. Johnson

CoRR, 2022

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

Correction to: On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems.

Anna Breger, José Ignacio Orlando, Pavol Harár, Monika Dörfler, Sophie Klimscha, Christoph Grechenig, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler

J. Math. Imaging Vis., 2020

On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems.

Anna Breger, José Ignacio Orlando, Pavol Harár, Monika Dörfler, Sophie Klimscha, Christoph Grechenig, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler

J. Math. Imaging Vis., 2020

2019

Klasifikace audia hlubokým učením s limitovanými zdroji dat ; Audio Classification with Deep Learning on Limited Data Sets.

Pavol Harár

PhD thesis, 2019

Machines listening to music: the role of signal representations in learning from music.

Roswitha Bammer, Anna Breger, Monika Dörfler, Pavol Harár, Zdenek Smékal

CoRR, 2019

On orthogonal projections for dimension reduction and applications in variational loss functions for learning problems.

Anna Breger, José Ignacio Orlando, Pavol Harár, Monika Dörfler, Sophie Klimscha, Christoph Grechenig, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler

CoRR, 2019

Gabor Frames and Deep Scattering Networks in Audio Processing.

Roswitha Bammer, Monika Dörfler, Pavol Harár

Axioms, 2019

Improving Machine Hearing on Limited Data Sets.

Pavol Harár, Roswitha Bammer, Anna Breger, Monika Dörfler, Zdenek Smékal

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

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

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

An automatic diagnosis and assessment of dysarthric speech using speech disorder specific prosodic features.

Garima Vyas, Malay Kishore Dutta, Jiri Prinosil, Pavol Harár

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