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Publications

Széchenyi Plusz RRF

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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Large Scale Evaluation of Natural Language Processing Based Test-to-Code Traceability Approaches

András Kicsi
Viktor Csuvik
László Vidács
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Exact Distribution-Free Hypothesis Tests for the Regression Function of Binary Classification via Conditional Kernel Mean Embeddings

Ambrus Tamás
Balázs Csanád Csáji
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Identifying Conflict Escalation and Primates by Using Ensemble X-Vectors and Fisher Vector Features

José Vicente Egas-López
Mercedes Vetráb
László Tóth
Gábor Gosztolya
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Deep Learning-Based Masonry Wall Image Analysis

Ibrahim Y
Nagy Balázs
Benedek Csaba
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Is cardiac involvement prevalent in highly trained athletes after SARS-CoV-2 infection? A cardiac magnetic resonance study using sex-matched and age-matched controls

Liliána Szabó
Vencel Juhász
Zsófia Dohy
Csenge Fogarasi
Attila Kovács
Bálint K. Lakatos
Orsolya Kiss
Nóra Sydó
Emese Csulak
Ferenc Imre Suhai
Kristóf Hirschberg
Dávid Becker
Béla Merkely
Hajnalka Vágó
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Comprehensive analysis of the predictive validity of the university entrance score in Hungary

Nagy Marcell
Roland Molontay
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