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Ing. Máté Hireš, PhD.

Ing. Máté Hireš, PhD.

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Máté Hireš is an Assistant Professor at the Department of Computers and Informatics at the Technical University of Košice. He received Ph.D. degree in computer science from the Faculty of Electrical Engineering and Informatics, Technical University of Kosice, focusing on diagnosis of Parkinson's disease from voice using deep learning techniques. His research interests include neural networks and deep learning, biomedical signal analysis and biomedical decision support systems.

Research interests:
  • Handwriting and speech analysis
  • Feature selection
Publications:

2023

M. Hireš

Assessing the automated cross-dataset classification of Parkinson's disease from voice

Journal: 23rd Scientific Conference of Young Researchers

M. Gazda, M. Hireš, P. Drotár

Ensemble of convolutional neural networks for Parkinson’s disease diagnosis from offline handwriting

Journal: The 20th Conference of the International Graphonomics Society.

M. Hireš, P. Drotár, N. D. Pah, Q. C. Ngo, D. K. Kumar

On the inter-dataset generalization of machine learning approaches to Parkinson's disease detection from voice

Journal: International Journal of Medical Informatics

2022

M. Hireš, P. Bugata, M. Gazda, D. J. Hreško, R. Kanász, L. Vavrek, P. Drotár

Brief Overview of Neural Networks for Medical Applications

Journal: Acta Electrotechnica et Informatica.

M. Hireš

CNN Approach for Parkinson’s Disease Detection from Voice recordings on the ItalianPVS dataset

Journal: 22nd Scientific Conference of Young Researchers

M. Hireš, M. Gazda, P. Drotár, N. D. Pah, M. A. Motin, D. K. Kumar

Convolutional neural network ensemble for parkinson's disease detection from voice recordings

Journal: Computers in Biology and Medicine

M. Gazda, M. Hireš, P. Drotár

Multiple-fine-tuned convolutional neural networks for parkinson’s disease diagnosis from offline handwriting

Journal: IEEE Transactions on Systems, Man, and Cybernetics

2021

M. Hireš

A survey on deep learning based pathological speech detection

Journal: 21st Scientific Conference of Young Researchers.

L. Vavrek, M. Hireš, D. Kumar, P. Drotár

Deep convolutional neural network for detection of pathological speech

Journal: SAMI 2021

2020

M. Hireš

Pathological Speech Processing: Review

Journal: SCYR 2020

M. Hireš, M. Molnárová, P. Drotár

Robustness of Interval Monge Matrices in Fuzzy Algebra

Journal: Mathematics.

2019

M. Hireš, M. Molnárová

Robustness of interval Monge matrices in binary fuzzy algebra

Journal: Electrical Engineering and Informatics 10