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Publications

Széchenyi Plusz RRF

FoBSim: an extensible open-source simulation tool for integrated fog-blockchain systems

Baniata Hamza
Attila Kertész
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Mission adapted: the hidden role of governors in shaping central bank operating missions in Hungary

Miklós Sebők
Kristin Makszin
Jasper Simons
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Economic and Social Barriers of Precision Farming in Hungary

Péter Balogh
Attila Bai
Ibolya Czibere
László Fodor
Ágnes Bujdos
Dénes Sulyok
Zoltán Gabnai
Zoltán Birkner
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ChangeGAN: A Deep Network for Change Detection in Coarsely Registered Point Clouds

Balázs Nagy
Lóránt Kovács
Csaba Benedek
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Online convex combination of ranking models

Erzsébet Frigó
Levente Kocsis
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Comparing the effectiveness of two remedial mathematics courses using modern regression discontinuity techniques

Máté Baranyi
Roland Molontay
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Similarity and Matching of Neural Network Representations

Adrián Csiszárik
Péter Kőrösi-Szabó
Ákos K. Matszangosz
Gergely Papp
Dániel Varga
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The efficient and accurate characterization of the robustness of neural networks to input perturbation is an important open problem. Many approaches exist including heuristic and exact (or complete) methods. Complete methods are expensive but their mathem

Zsolt János Viharos
Kis K B
Fodor Á
Büki M Á
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Deep learning identification for citizen science surveillance of tiger mosquitoes

Bálint Armin Pataki
Joan Garriga
Roger Eritja
John R. B. Palmer
Frederic Bartumeus
István Csabai
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