Péter Kovács

According to our database, Péter Kovács authored at least 31 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Variable Projection Support Vector Machines and Some Applications Using Adaptive Hermite Expansions.

Tamás Dózsa, Federico Deuschle, Bram Cornelis, Péter Kovács

Int. J. Neural Syst., January, 2024

Road Type Classification Using Time-Frequency Representations of Tire Sensor Signals.

Tamás Dózsa, Vedran Jurdana, Sandi Baressi Segota, János Volk, János Radó, Alexandros Soumelidis, Péter Kovács

IEEE Access, 2024

Continuous Wavelet Transform Based Variable Projection Networks.

Attila Miklós Ámon, Kristian Fenech, Péter Kovács, Tamás Dózsa

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

ECG Decomposition Using Cascaded Spline Projection Residual Auto Encoders.

Kaveh Samiee, Péter Kovács

Proceedings of the Computing in Cardiology, 2023

2022

Road Abnormality Detection Using Piezoresistive Force Sensors and Adaptive Signal Models.

Tamás Dózsa, János Radó, János Volk, Ádám Kisari, Alexandros Soumelidis, Péter Kovács

IEEE Trans. Instrum. Meas., 2022

Surfing Virtual Waves to Thermal Tomography: From model- to deep learning-based reconstructions.

Péter Kovács, Bernhard Lehner, Gregor Thummerer, Günther Mayr, Peter Burgholzer, Mario Huemer

IEEE Signal Process. Mag., 2022

VPNET: Variable Projection Networks.

Péter Kovács, Gergo Bognár, Christian Huber, Mario Huemer

Int. J. Neural Syst., 2022

Improved parametrized multiple window spectrogram with application in ship navigation systems.

Denis Selimovic, Jonatan Lerga, Péter Kovács, Jasna Prpic-Orsic

Digit. Signal Process., 2022

Diagnostic quality assessment for low-dimensional ECG representations.

Péter Kovács, Carl Böck, Thomas Tschoellitsch, Mario Huemer, Jens Meier

Comput. Biol. Medicine, 2022

Arrhythmia Detection Using Spiking Variable Projection Neural Networks.

Péter Kovács, Kaveh Samiee

Proceedings of the Computing in Cardiology, 2022

2021

ECG Beat Representation and Delineation by Means of Variable Projection.

Carl Böck, Péter Kovács, Pablo Laguna, Jens Meier, Mario Huemer

IEEE Trans. Biomed. Eng., 2021

Abnormal Road Surface Detection Using Wheel Sensor Data.

Tamás Dózsa, János Radó, János Volk, Ádám Kisari, Alexandros Soumelidis, Péter Kovács

CoRR, 2021

Adaptive System Identification via Low-Rank Tensor Decomposition.

Christina Auer, Oliver Ploder, Thomas Paireder, Péter Kovács, Oliver Lang, Mario Huemer

IEEE Access, 2021

Color classification of visually evoked potentials by means of Hermite functions.

Tamás Dózsa, Carl Böck, Gergo Bognár, Jens Meier, Péter Kovács

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Generalized Rational Variable Projection With Application in ECG Compression.

Péter Kovács, Sándor Fridli, Ferenc Schipp

IEEE Trans. Signal Process., 2020

A Hybrid Approach for Thermographic Imaging With Deep Learning.

Péter Kovács, Bernhard Lehner, Gregor Thummerer, Günther Mayr, Peter Burgholzer, Mario Huemer

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Variable Projection for Multiple Frequency Estimation.

Yuneisy E. Garcia Guzman, Péter Kovács, Mario Huemer

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Nonlinear least-squares spline fitting with variable knots.

Péter Kovács, Andrea M. Fekete

Appl. Math. Comput., 2019

Waveform Modeling by Adaptive Weighted Hermite Functions.

Péter Kovács, Carl Böck, Tamás Dózsa, Jens Meier, Mario Huemer

Proceedings of the IEEE International Conference on Acoustics, 2019

Ensemble Learning for Heartbeat Classification Using Adaptive Orthogonal Transformations.

Tamás Dózsa, Gergo Bognár, Péter Kovács

Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

A Linear Parameter Varying ARX Model for Describing Biomedical Signal Couplings.

Carl Böck, Kyriaki Kostoglou, Péter Kovács, Mario Huemer, Jens Meier

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.

Kaveh Samiee, Péter Kovács, Moncef Gabbouj

Knowl. Based Syst., 2017

Rational Variable Projection Methods in ECG Signal Processing.

Péter Kovács

Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

ECG segmentation using adaptive hermite functions.

Péter Kovács, Carl Böck, Jens Meier, Mario Huemer

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016

Transformation methods in signal processing

Péter Kovács

PhD thesis, 2016

2015

Epileptic Seizure Classification of EEG Time-Series Using Rational Discrete Short-Time Fourier Transform.

Kaveh Samiee, Péter Kovács, Moncef Gabbouj

IEEE Trans. Biomed. Eng., 2015

ECG Signal Compression Using Adaptive Hermite Functions.

Tamás Dózsa, Péter Kovács

Proceedings of the ICT Innovations 2015, 2015

Sleep stage classification using sparse rational decomposition of single channel EEG records.

Kaveh Samiee, Péter Kovács, Serkan Kiranyaz, Moncef Gabbouj, Tapio Saramäki

Proceedings of the 23rd European Signal Processing Conference, 2015

2014

On application of rational Discrete Short Time Fourier Transform in epileptic seizure classification.

Péter Kovács, Kaveh Samiee, Moncef Gabbouj

Proceedings of the IEEE International Conference on Acoustics, 2014

Rhythm-based Accuracy Improvement of Heart Beat Detection Algorithms.

Zoltán Gilián, Péter Kovács, Kaveh Samiee

Proceedings of the Computing in Cardiology, CinC 2014, 2014

2013

Hyperbolic particle swarm optimization with application in rational identification.

Péter Kovács, Serkan Kiranyaz, Moncef Gabbouj

Proceedings of the 21st European Signal Processing Conference, 2013