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Tamás Dózsa
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2020 – today
- 2024
- [j5]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) - [j4]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) - [j3]Tamás Dózsa, Ferenc Schipp, Alexandros Soumelidis:
On Bernoulli's Method. SIAM J. Numer. Anal. 62(3): 1259-1277 (2024) - [c5]Gergo Ungvári, Alexandros Soumelidis, Tamás Dózsa:
A Non-Parametric Identification Scheme of SISO-LTI Systems Using Blaschke-Products. MED 2024: 915-920 - 2022
- [j2]Tamás Dózsa:
Inverses of Rational Functions. Acta Cybern. 26(1): 53-69 (2022) - [j1]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) - 2021
- [c4]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 - [i2]Tamás Dózsa, Ferenc Schipp:
A generalization of the root function. CoRR abs/2108.02042 (2021) - [i1]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)
2010 – 2019
- 2019
- [c3]Tamás Dózsa, Gergo Bognár, Péter Kovács:
Ensemble Learning for Heartbeat Classification Using Adaptive Orthogonal Transformations. EUROCAST (2) 2019: 355-363 - [c2]Péter Kovács, Carl Böck, Tamás Dózsa, Jens Meier, Mario Huemer:
Waveform Modeling by Adaptive Weighted Hermite Functions. ICASSP 2019: 1080-1084 - 2015
- [c1]Tamás Dózsa, Péter Kovács:
ECG Signal Compression Using Adaptive Hermite Functions. ICT Innovations 2015: 245-254
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last updated on 2024-07-18 21:52 CEST by the dblp team
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