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Pavol Harár
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Books and Theses
- 2019
- [b1]Pavol Harár:
Klasifikace audia hlubokým učením s limitovanými zdroji dat ; Audio Classification with Deep Learning on Limited Data Sets. Brno University of Technology, Czech Republic, 2019
Journal Articles
- 2024
- [j6]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): 105667 (2024) - 2020
- [j5]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): 376-394 (2020) - [j4]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): 395 (2020) - [j3]Pavol Harár
, Zoltan Galaz
, Jesús Bernardino Alonso Hernández
, Jirí Mekyska
, Radim Burget, Zdenek Smékal
:
Towards robust voice pathology detection. Neural Comput. Appl. 32(20): 15747-15757 (2020) - [j2]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): 15759 (2020) - 2019
- [j1]Roswitha Bammer, Monika Dörfler
, Pavol Harár
:
Gabor Frames and Deep Scattering Networks in Audio Processing. Axioms 8(4): 106 (2019)
Conference and Workshop Papers
- 2019
- [c4]Pavol Harár, Roswitha Bammer, Anna Breger
, Monika Dörfler, Zdenek Smékal:
Improving Machine Hearing on Limited Data Sets. ICUMT 2019: 1-6 - 2018
- [c3]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: 1-5 - 2017
- [c2]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: 1-4 - 2016
- [c1]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: 515-518
Informal and Other Publications
- 2023
- [i6]Pavol Harár
, Lukas Herrmann, Philipp Grohs
, David Haselbach:
FakET: Simulating Cryo-Electron Tomograms with Neural Style Transfer. CoRR abs/2304.02011 (2023) - 2022
- [i5]Pavol Harár
, Dennis Elbrächter, Monika Dörfler, Kory D. Johnson:
Redistributor: Transforming Empirical Data Distributions. CoRR abs/2210.14219 (2022) - 2019
- [i4]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 abs/1901.07598 (2019) - [i3]Roswitha Bammer, Anna Breger, Monika Dörfler, Pavol Harár
, Zdenek Smékal:
Machines listening to music: the role of signal representations in learning from music. CoRR abs/1903.08950 (2019) - [i2]Pavol Harár
, Jesús Bernardino Alonso Hernández, Jirí Mekyska, Zoltan Galaz, Radim Burget, Zdenek Smékal:
Voice Pathology Detection Using Deep Learning: a Preliminary Study. CoRR abs/1907.05905 (2019) - [i1]Pavol Harár
, Zoltan Galaz, Jesús Bernardino Alonso Hernández, Jirí Mekyska, Radim Burget, Zdenek Smékal:
Towards Robust Voice Pathology Detection. CoRR abs/1907.06129 (2019)
Coauthor Index
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