Pavol Harár

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 16

Top Venues

CoRR

J. Math. Imaging Vis.

TSP

Neural Comput. Appl.

Brno University of Technology, Czech Republic (PHD)

Education History

Brno University of Technology, Czech Republic

PHD

Publications

Daniel Kovac, Jirí Mekyska, Vered Aharonson, Pavol Harár, Zoltan Galaz, Steven Z. Rapcsak, Juan Rafael Orozco-Arroyave, Lubos Brabenec, Irena Rektorová
Exploring digital speech biomarkers of hypokinetic dysarthria in a multilingual cohort. Biomed. Signal Process. Control. 88 (Part B) (2024)
Pavol Harár, Lukas Herrmann, Philipp Grohs, David Haselbach
FakET: Simulating Cryo-Electron Tomograms with Neural Style Transfer. CoRR (2023)
Pavol Harár, Dennis Elbrächter, Monika Dörfler, Kory D. Johnson
Redistributor: Transforming Empirical Data Distributions. CoRR (2022)
Pavol Harár, Zoltan Galaz, Jesús Bernardino Alonso Hernández, Jirí Mekyska, Radim Burget, Zdenek Smékal
Towards robust voice pathology detection. Neural Comput. Appl. 32 (20) (2020)
Anna Breger, José Ignacio Orlando, Pavol Harár, Monika Dörfler, Sophie Klimscha, Christoph Grechenig, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler
Correction to: On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems. J. Math. Imaging Vis. 62 (3) (2020)
Pavol Harár, Zoltan Galaz, Jesús Bernardino Alonso Hernández, Jirí Mekyska, Radim Burget, Zdenek Smékal
Correction to: Towards robust voice pathology detection. Neural Comput. Appl. 32 (20) (2020)
Anna Breger, José Ignacio Orlando, Pavol Harár, Monika Dörfler, Sophie Klimscha, Christoph Grechenig, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler
On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems. J. Math. Imaging Vis. 62 (3) (2020)
Pavol Harár, Jesús Bernardino Alonso Hernández, Jirí Mekyska, Zoltan Galaz, Radim Burget, Zdenek Smékal
Voice Pathology Detection Using Deep Learning: a Preliminary Study. CoRR (2019)
Anna Breger, José Ignacio Orlando, Pavol Harár, Monika Dörfler, Sophie Klimscha, Christoph Grechenig, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler
On orthogonal projections for dimension reduction and applications in variational loss functions for learning problems. CoRR (2019)
Pavol Harár, Zoltan Galaz, Jesús Bernardino Alonso Hernández, Jirí Mekyska, Radim Burget, Zdenek Smékal
Towards Robust Voice Pathology Detection. CoRR (2019)
Roswitha Bammer, Anna Breger, Monika Dörfler, Pavol Harár, Zdenek Smékal
Machines listening to music: the role of signal representations in learning from music. CoRR (2019)
Pavol Harár, Roswitha Bammer, Anna Breger, Monika Dörfler, Zdenek Smékal
Improving Machine Hearing on Limited Data Sets. ICUMT (2019)
Roswitha Bammer, Monika Dörfler, Pavol Harár
Gabor Frames and Deep Scattering Networks in Audio Processing. Axioms 8 (4) (2019)
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
Monitoring Progress of Parkinson's Disease Based on Changes in Phonation: a Pilot Study. TSP (2018)
Pavol Harár, Jesús Bernardino Alonso Hernández, Jirí Mekyska, Zoltan Galaz, Radim Burget, Zdenek Smékal
Voice Pathology Detection Using Deep Learning: a Preliminary Study. IWOBI (2017)
Garima Vyas, Malay Kishore Dutta, Jiri Prinosil, Pavol Harár
An automatic diagnosis and assessment of dysarthric speech using speech disorder specific prosodic features. TSP (2016)

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Publication Activity (10 Years)

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Pavol Harár