Péter Kovács

Orcid: 0000-0002-0772-9721

Affiliations:
  • Eötvös Loránd University, Department of Numerical Analysis, Hungary
  • Johannes Kepler University of Linz, Austria (2018-2020)
  • Eötvös Loránd University, Hungary (PhD 2016)


According to our database1, Péter Kovács authored at least 30 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

On csauthors.net:

Bibliography

2024
Variable Projection Support Vector Machines and Some Applications Using Adaptive Hermite Expansions.
Int. J. Neural Syst., January, 2024

Road Type Classification Using Time-Frequency Representations of Tire Sensor Signals.
IEEE Access, 2024

2023
ECG Decomposition Using Cascaded Spline Projection Residual Auto Encoders.
Proceedings of the Computing in Cardiology, 2023

2022
Road Abnormality Detection Using Piezoresistive Force Sensors and Adaptive Signal Models.
IEEE Trans. Instrum. Meas., 2022

Surfing Virtual Waves to Thermal Tomography: From model- to deep learning-based reconstructions.
IEEE Signal Process. Mag., 2022

VPNET: Variable Projection Networks.
Int. J. Neural Syst., 2022

Improved parametrized multiple window spectrogram with application in ship navigation systems.
Digit. Signal Process., 2022

Diagnostic quality assessment for low-dimensional ECG representations.
Comput. Biol. Medicine, 2022

Arrhythmia Detection Using Spiking Variable Projection Neural Networks.
Proceedings of the Computing in Cardiology, 2022

2021
ECG Beat Representation and Delineation by Means of Variable Projection.
IEEE Trans. Biomed. Eng., 2021

Abnormal Road Surface Detection Using Wheel Sensor Data.
CoRR, 2021

Adaptive System Identification via Low-Rank Tensor Decomposition.
IEEE Access, 2021

Color classification of visually evoked potentials by means of Hermite functions.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
Generalized Rational Variable Projection With Application in ECG Compression.
IEEE Trans. Signal Process., 2020

A Hybrid Approach for Thermographic Imaging With Deep Learning.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Variable Projection for Multiple Frequency Estimation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Nonlinear least-squares spline fitting with variable knots.
Appl. Math. Comput., 2019

Waveform Modeling by Adaptive Weighted Hermite Functions.
Proceedings of the IEEE International Conference on Acoustics, 2019

Ensemble Learning for Heartbeat Classification Using Adaptive Orthogonal Transformations.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

A Linear Parameter Varying ARX Model for Describing Biomedical Signal Couplings.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

2017
Epileptic seizure detection in long-term EEG records using sparse rational decomposition and local Gabor binary patterns feature extraction.
Knowl. Based Syst., 2017

Rational Variable Projection Methods in ECG Signal Processing.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

ECG segmentation using adaptive hermite functions.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Transformation methods in signal processing
PhD thesis, 2016

2015
Epileptic Seizure Classification of EEG Time-Series Using Rational Discrete Short-Time Fourier Transform.
IEEE Trans. Biomed. Eng., 2015

ECG Signal Compression Using Adaptive Hermite Functions.
Proceedings of the ICT Innovations 2015, 2015

Sleep stage classification using sparse rational decomposition of single channel EEG records.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
On application of rational Discrete Short Time Fourier Transform in epileptic seizure classification.
Proceedings of the IEEE International Conference on Acoustics, 2014

Rhythm-based Accuracy Improvement of Heart Beat Detection Algorithms.
Proceedings of the Computing in Cardiology, CinC 2014, 2014

2013
Hyperbolic particle swarm optimization with application in rational identification.
Proceedings of the 21st European Signal Processing Conference, 2013


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