Al-Najjar Ammar Fayez Ali and Megyeri István and Jelasity Márk:
Adversarial Training without Hard Labels.
In:
Proceedings of the 32nd European Symposium on Artificial Neural Networks (ESANN 2024).
Ciaco, Louvain-la-Neuve, pp. 179-184.
(2024)
ISBN 9782875870902
Czipczer Vanda and Kolozsvári Bernadett and Deák-Karancsi Borbála and Capala E. Marta and Pearson Rachel A. and Borzási Emőke and Együd Zsófia and Gaál Szilvia and Kelemen Gyöngyi and Kószó Renáta Lilla and Paczona Viktor Róbert and Végváry Zoltán and Karancsi Zsófia and Kékesi Ádám and Czunyi Edina and Irmai H. Blanka and Keresnyei G. Nóra and Nagypál Petra and Czabány Renáta and Gyalai Bence and Tass P. Bulcsú and Cziria Balázs and Cozzini Cristina and Estkowsky Lloyd and Ferenczi Lehel and Frontó András and Maxwell Ross and Megyeri István and Mian Michael and Tan Tao and Hideghéty Katalin and Ruskó László and et al.:
Comprehensive deep learning-based framework for automatic organs-at-risk segmentation in head-and-neck and pelvis for MR-guided radiation therapy planning.
FRONTIERS IN PHYSICS, 11.
ISSN 2296-424X
(2023)
Bánhalmi András and Bilicki Vilmos and Megyeri István and Majó Zoltán and Csirik János:
Extracting Information from Wi-Fi Traffic on Public Transport.
International Journal of Transport Development and Integration, 5 (1).
pp. 15-27.
ISSN 2058-8305
(2021)
Zombori Dániel and Bánhelyi Balázs and Csendes Tibor and Megyeri István and Jelasity Márk:
Fooling a Complete Neural Network Verifier.
In: The 9th International Conference on Learning Representations (ICLR), 2021.05.03-2021.05.07, Online konferencia.
Terjedelem: 16 p-Azonosító: 4IwieFS44l.
Megyeri István and Hegedűs István and Jelasity Márk:
Robust Classification Combined with Robust out-of-Distribution Detection: An Empirical Analysis.
In:
2021 International Joint Conference on Neural Networks (IJCNN).
IEEE, Piscataway (NJ), pp. 1-8.
(2021)
ISBN 9781665439008
Megyeri István and Hegedűs István and Jelasity Márk:
Adversarial Robustness of Model Sets.
In:
IEEE World Congress on Computational Intelligence (WCCI 2020).
IEEE Press, Piscataway (NJ), Azonosító: 9206656-Terjedelem: 8 p.
(2020)
ISBN 9781728169262
Megyeri István and Hegedűs István and Jelasity Márk:
Attacking Model Sets with Adversarial Examples.
In:
ESANN 2020 - Proceedings: 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (online event).
i6doc.com, Louvain-la-Neuve, pp. 1-6.
(2020)
ISBN 9782875870735
Megyeri István and Hegedűs István and Jelasity Márk:
Adversarial robustness of linear models: regularization and dimensionality.
In:
ESANN 2019 - Proceedings.
i6doc.com, Louvain-la-Neuve, pp. 61-66.
(2019)
ISBN 9782875870650
Megyeri István and Csirik János and Majó-Petri Zoltán:
Utasszámlálás a városi közösségi közlekedésben: mire lehet alkalmas több adat és a „free WiFi”?
In: Közlekedéstudományi Konferencia Győr 2019, 2019.03.21-2019.03.22, Győr.