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ORCIDPéter Kovács 0001
Person information
- affiliation: Eötvös Loránd University, Department of Numerical Analysis, Hungary
- affiliation (2018-2020): Johannes Kepler University of Linz, Austria
- affiliation (PhD 2016): Eötvös Loránd University, Hungary
Other persons with the same name
- Péter Kovács — disambiguation page
- Péter Kovács 0002
![[0000-0001-8402-7910]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8402-7910")
— ChemAxon Ltd., Budapest, Hungary (and 1 more) - Péter Kovács 0003 — Eötvöö Loránd University, Hungary
- Péter Kovács 0004 — TU Berlin, Germany
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2020 – today
- 2024
[j13]Tamás Dózsa, Vedran Jurdana, Sandi Baressi Segota, János Volk, János Radó, Alexandros Soumelidis, Péter Kovács:
Road Type Classification Using Time-Frequency Representations of Tire Sensor Signals. IEEE Access 12: 53361-53372 (2024)- [j12]Tamás Dózsa, Federico Deuschle, Bram Cornelis, Péter Kovács:
Variable Projection Support Vector Machines and Some Applications Using Adaptive Hermite Expansions. Int. J. Neural Syst. 34(1): 2450004:1-2450004:22 (2024) - 2023
- [c15]Kaveh Samiee, Péter Kovács:
ECG Decomposition Using Cascaded Spline Projection Residual Auto Encoders. CinC 2023: 1-4 - 2022
- [j11]Péter Kovács, Carl Böck, Thomas Tschoellitsch, Mario Huemer, Jens Meier:
Diagnostic quality assessment for low-dimensional ECG representations. Comput. Biol. Medicine 150: 106086 (2022) - [j10]Denis Selimovic, Jonatan Lerga, Péter Kovács, Jasna Prpic-Orsic:
Improved parametrized multiple window spectrogram with application in ship navigation systems. Digit. Signal Process. 126: 103491 (2022) - [j9]Péter Kovács, Gergo Bognár, Christian Huber, Mario Huemer:
VPNET: Variable Projection Networks. Int. J. Neural Syst. 32(1): 2150054:1-2150054:19 (2022) - [j8]Péter Kovács, Bernhard Lehner, Gregor Thummerer, Günther Mayr, Peter Burgholzer, Mario Huemer:
Surfing Virtual Waves to Thermal Tomography: From model- to deep learning-based reconstructions. IEEE Signal Process. Mag. 39(1): 55-67 (2022) - [j7]Tamás Dózsa, János Radó, János Volk, Ádám Kisari, Alexandros Soumelidis, Péter Kovács:
Road Abnormality Detection Using Piezoresistive Force Sensors and Adaptive Signal Models. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [c14]Péter Kovács, Kaveh Samiee:
Arrhythmia Detection Using Spiking Variable Projection Neural Networks. CinC 2022: 1-4 - 2021
- [j6]Christina Auer, Oliver Ploder, Thomas Paireder, Péter Kovács, Oliver Lang, Mario Huemer:
Adaptive System Identification via Low-Rank Tensor Decomposition. IEEE Access 9: 139028-139042 (2021) - [j5]Carl Böck, Péter Kovács, Pablo Laguna, Jens Meier, Mario Huemer:
ECG Beat Representation and Delineation by Means of Variable Projection. IEEE Trans. Biomed. Eng. 68(10): 2997-3008 (2021) - [c13]Tamás Dózsa, Carl Böck, Gergo Bognár, Jens Meier, Péter Kovács:
Color classification of visually evoked potentials by means of Hermite functions. ACSCC 2021: 251-255 - [i4]Tamás Dózsa, János Radó, János Volk, Ádám Kisari, Alexandros Soumelidis, Péter Kovács:
Abnormal Road Surface Detection Using Wheel Sensor Data. CoRR abs/2108.09162 (2021) - 2020
- [j4]Péter Kovács, Sándor Fridli, Ferenc Schipp:
Generalized Rational Variable Projection With Application in ECG Compression. IEEE Trans. Signal Process. 68: 478-492 (2020) - [c12]Péter Kovács, Bernhard Lehner, Gregor Thummerer, Günther Mayr, Peter Burgholzer, Mario Huemer:
A Hybrid Approach for Thermographic Imaging With Deep Learning. ICASSP 2020: 4277-4281 - [c11]Yuneisy E. Garcia Guzman, Péter Kovács, Mario Huemer:
Variable Projection for Multiple Frequency Estimation. ICASSP 2020: 4811-4815 - [i3]Péter Kovács, Sándor Fridli, Ferenc Schipp:
Generalized Rational Variable Projection With Application in ECG Compression. CoRR abs/2003.00058 (2020) - [i2]Péter Kovács, Andrea M. Fekete:
Nonlinear least-squares spline fitting with variable knots. CoRR abs/2003.03847 (2020) - [i1]Péter Kovács, Gergo Bognár, Christian Huber, Mario Huemer:
VPNet: Variable Projection Networks. CoRR abs/2006.15590 (2020)
2010 – 2019
- 2019
- [j3]Péter Kovács, Andrea M. Fekete:
Nonlinear least-squares spline fitting with variable knots. Appl. Math. Comput. 354: 490-501 (2019) - [c10]Carl Böck, Kyriaki Kostoglou, Péter Kovács, Mario Huemer, Jens Meier:
A Linear Parameter Varying ARX Model for Describing Biomedical Signal Couplings. EUROCAST (2) 2019: 339-346 - [c9]Tamás Dózsa, Gergo Bognár, Péter Kovács:
Ensemble Learning for Heartbeat Classification Using Adaptive Orthogonal Transformations. EUROCAST (2) 2019: 355-363 - [c8]Péter Kovács, Carl Böck, Tamás Dózsa, Jens Meier, Mario Huemer:
Waveform Modeling by Adaptive Weighted Hermite Functions. ICASSP 2019: 1080-1084 - 2017
- [j2]Kaveh Samiee, Péter Kovács, Moncef Gabbouj:
Epileptic seizure detection in long-term EEG records using sparse rational decomposition and local Gabor binary patterns feature extraction. Knowl. Based Syst. 118: 228-240 (2017) - [c7]Péter Kovács, Carl Böck, Jens Meier, Mario Huemer:
ECG segmentation using adaptive hermite functions. ACSSC 2017: 1476-1480 - [c6]Péter Kovács:
Rational Variable Projection Methods in ECG Signal Processing. EUROCAST (2) 2017: 196-203 - 2016
- [b1]Péter Kovács:
Transformation methods in signal processing. Eötvös Loránd University, Hungary, 2016 - 2015
- [j1]Kaveh Samiee, Péter Kovács, Moncef Gabbouj:
Epileptic Seizure Classification of EEG Time-Series Using Rational Discrete Short-Time Fourier Transform. IEEE Trans. Biomed. Eng. 62(2): 541-552 (2015) - [c5]Kaveh Samiee, Péter Kovács, Serkan Kiranyaz, Moncef Gabbouj, Tapio Saramäki:
Sleep stage classification using sparse rational decomposition of single channel EEG records. EUSIPCO 2015: 1860-1864 - [c4]Tamás Dózsa, Péter Kovács:
ECG Signal Compression Using Adaptive Hermite Functions. ICT Innovations 2015: 245-254 - 2014
- [c3]Zoltán Gilián, Péter Kovács, Kaveh Samiee:
Rhythm-based Accuracy Improvement of Heart Beat Detection Algorithms. CinC 2014: 269-272 - [c2]Péter Kovács, Kaveh Samiee, Moncef Gabbouj:
On application of rational Discrete Short Time Fourier Transform in epileptic seizure classification. ICASSP 2014: 5839-5843 - 2013
- [c1]Péter Kovács, Serkan Kiranyaz, Moncef Gabbouj:
Hyperbolic particle swarm optimization with application in rational identification. EUSIPCO 2013: 1-5
Coauthor Index
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