PORTO @ Archivio Istituzionale della Ricerca

RUOSPO, ANNACHIARA
 Distribuzione geografica
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Continente #
EU - Europa 419
NA - Nord America 115
AS - Asia 22
SA - Sud America 6
AF - Africa 1
OC - Oceania 1
Totale 564
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Nazione #
IT - Italia 238
GB - Regno Unito 118
US - Stati Uniti d'America 112
DE - Germania 18
IE - Irlanda 9
FR - Francia 8
RU - Federazione Russa 8
BR - Brasile 6
CZ - Repubblica Ceca 5
IN - India 5
CN - Cina 4
CA - Canada 3
IL - Israele 3
IR - Iran 3
NL - Olanda 3
UA - Ucraina 3
HK - Hong Kong 2
SE - Svezia 2
AL - Albania 1
AT - Austria 1
AU - Australia 1
CH - Svizzera 1
DK - Danimarca 1
EG - Egitto 1
FI - Finlandia 1
JP - Giappone 1
KR - Corea 1
PK - Pakistan 1
PL - Polonia 1
RS - Serbia 1
TH - Thailandia 1
TW - Taiwan 1
Totale 564
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Città #
Southend 116
Turin 62
Torino 31
Fairfield 16
Milan 11
Houston 10
Dublin 9
Duncan 7
Norwalk 7
Chandler 6
Fremont 6
Manta 6
Ann Arbor 5
Lake Forest 5
Absecon 4
Andover 4
Bologna 4
Bremen 4
Cambridge 4
Palermo 4
Seattle 4
Aosta 3
Ashburn 3
Guangzhou 3
Leawood 3
Mumbai 3
Ottawa 3
Palo Alto 3
Stuttgart 3
Arona 2
Asti 2
Basking Ridge 2
Bricherasio 2
Buffalo 2
Casoria 2
Dallas 2
Kish 2
Nashua 2
Nizhniy Novgorod 2
Plano 2
Pordenone 2
San Donato Milanese 2
San Marco In Lamis 2
Santhià 2
Tel Aviv 2
Valdagno 2
Villastellone 2
Altavilla Silentina 1
Anderslöv 1
Ardabil 1
Augusta 1
Bangkok 1
Bari 1
Beijing 1
Boardman 1
Bollate 1
Borgomanero 1
Catania 1
Central 1
Cheongju-si 1
Chicago 1
Coimbatore 1
Council Bluffs 1
Cutrofiano 1
Florence 1
Futog 1
Helsinki 1
Laurel 1
Leiden 1
Lido Di Camaiore 1
Livorno 1
Marlborough 1
Matay 1
Mesagne 1
Mondovì 1
Munich 1
Nettuno 1
Nürnberg 1
Paderborn 1
Ronchi dei Legionari 1
Saint Louis 1
San Diego 1
Sunnyvale 1
Taipei 1
Tirana 1
Torrebelvicino 1
Tucson 1
Valeggio Sul Mincio 1
Vedelago 1
Venaria Reale 1
Verona 1
Vienna 1
Vitry-sur-seine 1
Wilmington 1
Woodbridge 1
Zurich 1
Ōita 1
Totale 435
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Nome #
A Decentralized Scheduler for On-line Self-test Routines in Multi-core Automotive System-on-Chips, file e384c432-66fe-d4b2-e053-9f05fe0a1d67 71
Special Session: AutoSoC - A Suite of Open-Source Automotive SoC Benchmarks, file e384c432-7fac-d4b2-e053-9f05fe0a1d67 67
Deterministic Cache-based Execution of On-line Self-Test Routines in Multi-core Automotive System-on-Chips, file e384c432-47b4-d4b2-e053-9f05fe0a1d67 58
On-line Testing for Autonomous Systems driven by RISC-V Processor Design Verification, file e384c432-70e7-d4b2-e053-9f05fe0a1d67 45
Simulation and Formal: The Best of Both Domains for Instruction Set Verification of RISC-V Based Processors, file e384c432-879c-d4b2-e053-9f05fe0a1d67 36
On the detection of always-on hardware trojans supported by a pre-silicon verification methodology, file e384c432-70ed-d4b2-e053-9f05fe0a1d67 35
A Benchmark Suite of RT-level Hardware Trojansfor Pipelined Microprocessor Cores, file e384c432-f25d-d4b2-e053-9f05fe0a1d67 34
Reliability and Security Assessment of Modern Embedded Devices, file e384c434-cd36-d4b2-e053-9f05fe0a1d67 33
On the Reliability Assessment of Artificial Neural Networks Running on AI-Oriented MPSoCs, file e384c434-0210-d4b2-e053-9f05fe0a1d67 25
Evaluating Convolutional Neural Networks Reliability depending on their Data Representation, file e384c433-ecc2-d4b2-e053-9f05fe0a1d67 22
Test, Reliability and Functional Safety trends for Automotive System-on-Chip, file e384c434-7998-d4b2-e053-9f05fe0a1d67 19
Test, Reliability and Functional Safety Trends for Automotive System-on-Chip, file 8ca85a99-2ac5-4a5b-962f-9164fb4fea5c 18
A Model-Based Framework to Assess the Reliability of Safety-Critical Applications, file e384c433-7e71-d4b2-e053-9f05fe0a1d67 17
Image Test Libraries for the on-line self-test of functional units in GPUs running CNNs, file d223edac-b294-4285-aa76-f90f9e77149c 11
Design, Verification, Test, and In-Field Implications of Approximate Digital Integrated Circuits, file e384c434-d13a-d4b2-e053-9f05fe0a1d67 7
Open-Set Recognition: an Inexpensive Strategy to Increase DNN Reliability, file 33618583-8f86-4166-a3eb-4d3ec539344c 5
Assessing Convolutional Neural Networks Reliability through Statistical Fault Injections, file 996d1919-3696-4730-9fc7-3db4db46fbfc 5
Evaluation and mitigation of faults affecting Swin Transformers, file 17bd9376-d40f-4322-af14-231777afde10 4
A Survey on Deep Learning Resilience Assessment Methodologies, file b6bba09a-11c6-42ff-bcfe-59d56a05feab 4
Evaluating Convolutional Neural Networks Reliability depending on their Data Representation, file e384c433-f7a2-d4b2-e053-9f05fe0a1d67 4
Selective Hardening of Critical Neurons in Deep Neural Networks, file e384c434-a567-d4b2-e053-9f05fe0a1d67 4
A Decentralized Scheduler for On-line Self-test Routines in Multi-core Automotive System-on-Chips, file e384c432-40b4-d4b2-e053-9f05fe0a1d67 3
Deterministic Cache-based Execution of On-line Self-Test Routines in Multi-core Automotive System-on-Chips, file e384c432-6cb4-d4b2-e053-9f05fe0a1d67 3
A Pipelined Multi-Level Fault Injector for Deep Neural Networks, file e384c432-721e-d4b2-e053-9f05fe0a1d67 3
Pros and Cons of Fault Injection Approaches for the Reliability Assessment of Deep Neural Networks, file e384c433-f17f-d4b2-e053-9f05fe0a1d67 3
Machine Learning for Hardware Security: Classifier-based Identification of Trojans in Pipelined Microprocessors, file e384c434-3a92-d4b2-e053-9f05fe0a1d67 3
Reliability and Security Assessment of Modern Embedded Devices, file e384c434-c5c0-d4b2-e053-9f05fe0a1d67 3
Image Test Libraries for the on-line self-test of functional units in GPUs running CNNs, file 7e6d9639-dafa-4dbb-9bd5-ddcc27f18857 2
Model theft attack against a tinyML application running on an Ultra-Low-Power Open-Source SoC, file 7f3c0038-5c45-47ad-a9e1-c8b702f4b175 2
A Fault Injection Framework for AI Hardware Accelerators, file 9f9fd688-a04b-4ec6-94ea-d8a038a6604a 2
Resilience-Performance Tradeoff Analysis of a Deep Neural Network Accelerator, file dc90c97e-dcc5-4265-a45f-0e9e2b7bdbdb 2
Special Session: AutoSoC - A Suite of Open-Source Automotive SoC Benchmarks, file e384c432-4e17-d4b2-e053-9f05fe0a1d67 2
A Suitability analysis of software based testing strategies for the on-line testing of artificial neural networks applications in embedded devices, file e384c433-cde6-d4b2-e053-9f05fe0a1d67 2
Pros and Cons of Fault Injection Approaches for the Reliability Assessment of Deep Neural Networks, file e384c434-15ac-d4b2-e053-9f05fe0a1d67 2
Emulating the Effects of Radiation-Induced Soft-Errors for the Reliability Assessment of Neural Networks, file e384c434-27e9-d4b2-e053-9f05fe0a1d67 2
Emulating the Effects of Radiation-Induced Soft-Errors for the Reliability Assessment of Neural Networks, file e384c434-2875-d4b2-e053-9f05fe0a1d67 2
A Survey on Deep Learning Resilience Assessment Methodologies, file 10a26584-63ca-4b73-9a9e-af1f43938376 1
A Fault Injection Framework for AI Hardware Accelerators, file 24cab67b-eb97-4689-ad08-a14e12db0123 1
Resilience-Performance Tradeoff Analysis of a Deep Neural Network Accelerator, file 396cdc7e-b3c4-49c9-9c86-18646593c66d 1
Test, Reliability and Functional Safety Trends for Automotive System-on-Chip, file 86aa7109-84fe-4ecf-acc9-c9d1b8069e9d 1
Open-Set Recognition: an Inexpensive Strategy to Increase DNN Reliability, file 8a7eb701-a940-4793-943e-955787f4c1d1 1
Reliability Assessment Methodologies for ANN-based Systems, file 97b3edb3-6d25-4f24-8c65-c82941ef767b 1
Design, Verification, Test, and In-Field Implications of Approximate Digital Integrated Circuits, file 9e35a20a-3d21-410c-bd65-b9902e48fc1e 1
On-line Testing for Autonomous Systems driven by RISC-V Processor Design Verification, file e384c431-8cc6-d4b2-e053-9f05fe0a1d67 1
On the detection of always-on hardware trojans supported by a pre-silicon verification methodology, file e384c432-8564-d4b2-e053-9f05fe0a1d67 1
A Model-Based Framework to Assess the Reliability of Safety-Critical Applications, file e384c433-7e72-d4b2-e053-9f05fe0a1d67 1
Investigating data representation for efficient and reliable Convolutional Neural Networks, file e384c433-f8c1-d4b2-e053-9f05fe0a1d67 1
Machine Learning for Hardware Security: Classifier-based Identification of Trojans in Pipelined Microprocessors, file e384c434-635c-d4b2-e053-9f05fe0a1d67 1
Totale 572
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Categoria #
all - tutte 1.082
article - articoli 84
book - libri 0
conference - conferenze 862
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 10
Totale 2.038
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/202012 0 0 0 0 0 0 0 0 0 0 0 12
2020/2021150 0 3 11 5 30 14 12 14 6 12 27 16
2021/2022247 24 17 15 20 36 36 30 23 13 11 10 12
2022/2023126 18 3 10 15 16 14 14 3 8 10 14 1
2023/202437 7 0 6 0 7 5 1 8 1 2 0 0
Totale 572