SENTIEYS, OLIVIER

SENTIEYS, OLIVIER  

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Citazione Data di pubblicazione Autori File
Improving Deep Neural Network Reliability via Transient-Fault-Aware Design and Training / Fernandes dos Santos, Fernando; Cavagnero, Niccolo; Ciccone, Marco; Averta, Giuseppe; Kritikakou, Angeliki; Sentieys, Olivier; Rech, Paolo; Tommasi, Tatiana. - In: IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING. - ISSN 2168-6750. - (2025). [10.1109/TETC.2024.3520672] 1-gen-2025 Niccolo CavagneroMarco CicconeGiuseppe AvertaOlivier SentieysPaolo RechTatiana Tommasi + tetc_2023_diehardnet.pdf
Characterizing a Neutron-Induced Fault Model for Deep Neural Networks / Fernandes Dos Santos, Fernando; Kritikakou, Angeliki; Rodriguez Condia, Josie E.; Juan-David, Guerrero-Balaguera; SONZA REORDA, Matteo; Sentieys, Olivier; Rech, Paolo. - In: IEEE TRANSACTIONS ON NUCLEAR SCIENCE. - ISSN 0018-9499. - 70:4(2023), pp. 370-380. [10.1109/tns.2022.3224538] 1-gen-2023 Josie E. Rodriguez CondiaJuan-David Guerrero-BalagueraMatteo Sonza ReordaOlivier SentieysPaolo Rech + Characterizing_a_Neutron-Induced_Fault_Model_for_Deep_Neural_Networks.pdf