VALPREDA, EMANUELE
 Distribuzione geografica
Continente #
EU - Europa 120
NA - Nord America 9
AS - Asia 4
Totale 133
Nazione #
IT - Italia 81
DE - Germania 9
US - Stati Uniti d'America 9
GB - Regno Unito 8
IE - Irlanda 6
NL - Olanda 3
AL - Albania 2
BE - Belgio 2
CZ - Repubblica Ceca 2
DK - Danimarca 2
LT - Lituania 2
CH - Svizzera 1
CN - Cina 1
ES - Italia 1
FR - Francia 1
IR - Iran 1
JP - Giappone 1
TW - Taiwan 1
Totale 133
Città #
Turin 44
Torino 16
Southend 7
Dublin 6
Munich 6
Brindisi 4
Duncan 3
Berlin 2
Brno 2
Amsterdam 1
Beijing 1
Daizawa 1
Kish 1
Maletto 1
Merksem 1
Milan 1
Novellara 1
Reggio Calabria 1
Saint-Gilles 1
San Felice Sul Panaro 1
San Giuliano Milanese 1
San Mateo 1
Seattle 1
Tirana 1
Zurich 1
Totale 106
Nome #
HW-FlowQ: A Multi-Abstraction Level HW-CNN Co-design Quantization Methodology, file e384c434-0cde-d4b2-e053-9f05fe0a1d67 49
AnaCoNGA: Analytical HW-CNN Co-Design Using Nested Genetic Algorithms, file e384c434-92d5-d4b2-e053-9f05fe0a1d67 38
Mind the Scaling Factors: Resilience Analysis of Quantized Adversarially Robust CNNs, file e384c434-a64a-d4b2-e053-9f05fe0a1d67 11
HW-Flow-Fusion: Inter-Layer Scheduling for Convolutional Neural Network Accelerators with Dataflow Architectures, file 45469c48-c173-41aa-865e-31cfcc39efc1 6
NLCMAP: A Framework for the Efficient Mapping of Non-Linear Convolutional Neural Networks on FPGA Accelerators, file 10595e48-4336-4d46-9dae-dcb9c98eeb2a 5
HW-FlowQ: A Multi-Abstraction Level HW-CNN Co-design Quantization Methodology, file e384c434-4174-d4b2-e053-9f05fe0a1d67 5
TEMET: Truncated REconfigurable Multiplier with Error Tuning, file 9222d93c-1fa1-4143-b006-37c97c9de2f2 4
ERODE: Error Resilient Object DetEction by Recovering Bounding Box and Class Information, file c397683e-7277-462d-9d65-f25e82ddb536 4
MARLIN: A Co-Design Methodology for Approximate ReconfigurabLe Inference of Neural Networks at the Edge, file df33fc1d-6b12-4ca3-b310-1ed378a7a513 3
HW-Flow-Fusion: Inter-Layer Scheduling for Convolutional Neural Network Accelerators with Dataflow Architectures, file 48ba2267-20fe-45c5-a32c-8fac5e40d062 2
HW-Flow: A Multi-Abstraction Level HW-CNN Codesign Pruning Methodology, file cc40117b-2a5e-47e7-88a1-468af5d05e0d 2
ERODE: Error Resilient Object DetEction by Recovering Bounding Box and Class Information, file 72519e3f-90ce-4c51-abd1-cd09996dad07 1
TEMET: Truncated REconfigurable Multiplier with Error Tuning, file c28990ee-d95b-4b2c-b218-5087a0842b82 1
MARLIN: A Co-Design Methodology for Approximate ReconfigurabLe Inference of Neural Networks at the Edge, file cebcdb5f-4234-4369-9f07-bf71986507c6 1
AnaCoNGA: Analytical HW-CNN Co-Design Using Nested Genetic Algorithms, file e384c434-92d6-d4b2-e053-9f05fe0a1d67 1
Mind the Scaling Factors: Resilience Analysis of Quantized Adversarially Robust CNNs, file e384c434-ad69-d4b2-e053-9f05fe0a1d67 1
Totale 134
Categoria #
all - tutte 300
article - articoli 156
book - libri 0
conference - conferenze 144
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 600


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2021/202255 0 0 3 4 5 7 1 6 13 2 13 1
2022/202364 6 7 20 4 12 4 4 0 4 2 0 1
2023/202415 2 0 0 0 1 0 0 1 7 4 0 0
Totale 134