Hyperbolic particle swarm optimization with application in rational identification. - Péter Kovács 001; Serkan Kiranyaz; Moncef Gabbouj (EUSIPCO, 2013)

Rhythm-based Accuracy Improvement of Heart Beat Detection Algorithms. - Zoltán Gilián; Péter Kovács 001; Kaveh Samiee (CinC, 2014)

On application of rational Discrete Short Time Fourier Transform in epileptic seizure classification. - Péter Kovács 001; Kaveh Samiee; Moncef Gabbouj (ICASSP, 2014)

Sleep stage classification using sparse rational decomposition of single channel EEG records. - Kaveh Samiee; Péter Kovács 001; Serkan Kiranyaz; Moncef Gabbouj; Tapio Saramäki (EUSIPCO, 2015)

ECG Signal Compression Using Adaptive Hermite Functions. - Tamás Dózsa; Péter Kovács 001 (ICT Innovations, 2015)

Epileptic Seizure Classification of EEG Time-Series Using Rational Discrete Short-Time Fourier Transform. - Kaveh Samiee; Péter Kovács 001; Moncef Gabbouj (IEEE Trans. Biomed. Eng., 2015)

Transformation methods in signal processing - Péter Kovács 001 (2016)

ECG segmentation using adaptive hermite functions. - Péter Kovács 001; Carl Böck; Jens Meier; Mario Huemer (ACSSC, 2017)

Rational Variable Projection Methods in ECG Signal Processing. - Péter Kovács 001 (EUROCAST (2), 2017)

Epileptic seizure detection in long-term EEG records using sparse rational decomposition and local Gabor binary patterns feature extraction. - Kaveh Samiee; Péter Kovács 001; Moncef Gabbouj (Knowl. Based Syst., 2017)

A Linear Parameter Varying ARX Model for Describing Biomedical Signal Couplings. - Carl Böck; Kyriaki Kostoglou; Péter Kovács 001; Mario Huemer; Jens Meier (EUROCAST (2), 2019)

Ensemble Learning for Heartbeat Classification Using Adaptive Orthogonal Transformations. - Tamás Dózsa; Gergo Bognár; Péter Kovács 001 (EUROCAST (2), 2019)

Waveform Modeling by Adaptive Weighted Hermite Functions. - Péter Kovács 001; Carl Böck; Tamás Dózsa; Jens Meier; Mario Huemer (ICASSP, 2019)

Nonlinear least-squares spline fitting with variable knots. - Péter Kovács 001; Andrea M. Fekete (Appl. Math. Comput., 2019)

Variable Projection for Multiple Frequency Estimation. - Yuneisy E. Garcia Guzman; Péter Kovács 001; Mario Huemer (ICASSP, 2020)

A Hybrid Approach for Thermographic Imaging With Deep Learning. - Péter Kovács 001; Bernhard Lehner; Gregor Thummerer; Günther Mayr; Peter Burgholzer; Mario Huemer (ICASSP, 2020)

Generalized Rational Variable Projection With Application in ECG Compression. - Péter Kovács 001; Sándor Fridli; Ferenc Schipp (IEEE Trans. Signal Process., 2020)

Color classification of visually evoked potentials by means of Hermite functions. - Tamás Dózsa; Carl Böck; Gergo Bognár; Jens Meier; Péter Kovács 001 (ACSCC, 2021)

Adaptive System Identification via Low-Rank Tensor Decomposition. - Christina Auer; Oliver Ploder; Thomas Paireder; Péter Kovács 001; Oliver Lang; Mario Huemer (IEEE Access, 2021)

Abnormal Road Surface Detection Using Wheel Sensor Data. - Tamás Dózsa; János Radó; János Volk; Ádám Kisari; Alexandros Soumelidis; Péter Kovács 001 (CoRR, 2021)

ECG Beat Representation and Delineation by Means of Variable Projection. - Carl Böck; Péter Kovács 001; Pablo Laguna; Jens Meier; Mario Huemer (IEEE Trans. Biomed. Eng., 2021)

Arrhythmia Detection Using Spiking Variable Projection Neural Networks. - Péter Kovács 001; Kaveh Samiee (CinC, 2022)

Diagnostic quality assessment for low-dimensional ECG representations. - Péter Kovács 001; Carl Böck; Thomas Tschoellitsch; Mario Huemer; Jens Meier (Comput. Biol. Medicine, 2022)

Improved parametrized multiple window spectrogram with application in ship navigation systems. - Denis Selimovic; Jonatan Lerga; Péter Kovács 001; Jasna Prpic-Orsic (Digit. Signal Process., 2022)

VPNET: Variable Projection Networks. - Péter Kovács 001; Gergo Bognár; Christian Huber; Mario Huemer (Int. J. Neural Syst., 2022)

Surfing Virtual Waves to Thermal Tomography: From model- to deep learning-based reconstructions. - Péter Kovács 001; Bernhard Lehner; Gregor Thummerer; Günther Mayr; Peter Burgholzer; Mario Huemer (IEEE Signal Process. Mag., 2022)

Road Abnormality Detection Using Piezoresistive Force Sensors and Adaptive Signal Models. - Tamás Dózsa; János Radó; János Volk; Ádám Kisari; Alexandros Soumelidis; Péter Kovács 001 (IEEE Trans. Instrum. Meas., 2022)

ECG Decomposition Using Cascaded Spline Projection Residual Auto Encoders. - Kaveh Samiee; Péter Kovács 001 (CinC, 2023)

Learning ECG signal features without backpropagation. - Péter Pósfay; Marcell T. Kurbucz; Péter Kovács 001; Antal Jakovác (CoRR, 2023)

Continuous Wavelet Transform Based Variable Projection Networks. - Attila Miklós Ámon; Kristian Fenech; Péter Kovács 001; Tamás Dózsa (EUSIPCO, 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 001 (IEEE Access, 2024)

Variable Projection Support Vector Machines and Some Applications Using Adaptive Hermite Expansions. - Tamás Dózsa; Federico Deuschle; Bram Cornelis; Péter Kovács 001 (Int. J. Neural Syst., 2024)

Lightweight ECG signal classification via linear law-based feature extraction. - Péter Pósfay; Marcell T. Kurbucz; Péter Kovács 001; Antal Jakovác (Mach. Learn. Sci. Technol., 2025)

Rational Gaussian wavelets and corresponding model driven neural networks. - Attila Miklós Ámon; Kristian Fenech; Péter Kovács 001; Tamás Dózsa (CoRR, 2025)

Transformer Encoder and Multi-features Time2Vec for Financial Prediction. - Nguyen Kim Hai Bui; Nguyen Duy Chien; Péter Kovács 001; Gergo Bognár (CoRR, 2025)

Weighted Hermite Variable Projection Networks for Classifying Visually Evoked Potentials. - Tamás Dózsa; Carl Böck; Jens Meier; Péter Kovács 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)