PORTO @ Archivio Istituzionale della Ricerca

FRACASTORO, GIULIA
 Distribuzione geografica
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Continente #
EU - Europa 1.205
NA - Nord America 1.135
AS - Asia 744
SA - Sud America 63
AF - Africa 60
OC - Oceania 17
Continente sconosciuto - Info sul continente non disponibili 1
Totale 3.225
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Nazione #
US - Stati Uniti d'America 1.106
IT - Italia 572
CN - Cina 346
FR - Francia 139
GB - Regno Unito 126
IN - India 112
DE - Germania 92
JP - Giappone 86
IE - Irlanda 57
KR - Corea 47
BR - Brasile 45
NL - Olanda 38
ES - Italia 31
IR - Iran 28
CA - Canada 25
CH - Svizzera 21
TR - Turchia 21
AT - Austria 19
EG - Egitto 19
RU - Federazione Russa 19
AU - Australia 16
HK - Hong Kong 13
IQ - Iraq 13
UA - Ucraina 13
DZ - Algeria 12
PK - Pakistan 12
CZ - Repubblica Ceca 11
MA - Marocco 11
SA - Arabia Saudita 10
IL - Israele 9
SE - Svezia 9
ID - Indonesia 8
ZA - Sudafrica 8
PH - Filippine 7
SG - Singapore 7
TH - Thailandia 7
TW - Taiwan 7
CO - Colombia 6
MY - Malesia 6
TN - Tunisia 6
CL - Cile 5
RS - Serbia 5
BD - Bangladesh 4
GR - Grecia 4
PL - Polonia 4
SI - Slovenia 4
BE - Belgio 3
HR - Croazia 3
HU - Ungheria 3
LU - Lussemburgo 3
MO - Macao, regione amministrativa speciale della Cina 3
MX - Messico 3
QA - Qatar 3
VE - Venezuela 3
AE - Emirati Arabi Uniti 2
AP - ???statistics.table.value.countryCode.AP??? 2
CM - Camerun 2
DK - Danimarca 2
EC - Ecuador 2
FI - Finlandia 2
LK - Sri Lanka 2
MT - Malta 2
NO - Norvegia 2
PE - Perù 2
RO - Romania 2
SK - Slovacchia (Repubblica Slovacca) 2
TZ - Tanzania 2
VN - Vietnam 2
A1 - Anonimo 1
BA - Bosnia-Erzegovina 1
BG - Bulgaria 1
JO - Giordania 1
LT - Lituania 1
NZ - Nuova Zelanda 1
PA - Panama 1
Totale 3.225
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Città #
Beijing 159
Torino 140
Turin 137
Houston 97
Ashburn 91
Fairfield 72
Ann Arbor 58
Dublin 56
Southend 53
Mountain View 49
Woodbridge 47
Seattle 40
Hangzhou 39
Cambridge 36
Wilmington 36
Los Angeles 33
Santa Cruz 32
Buffalo 31
Shenzhen 31
Höst 22
San Ramon 22
Tokyo 22
London 19
Redmond 17
University Park 17
Chicago 16
Fremont 16
Rijswijk 16
Rome 16
Seoul 16
Vienna 15
Nanjing 14
San Donato Milanese 14
Toronto 14
Herndon 13
Lake Forest 13
Guangzhou 12
Brooklyn 11
Lausanne 11
Central District 10
Milan 10
Valfenera 10
Xian 10
Andover 9
Bengaluru 9
Boardman 9
Wuhan 9
Bangalore 8
Cairo 8
Chieri 8
Kharagpur 8
Madrid 8
Nagaoka 8
Paulista 8
San Mateo 8
Shanghai 8
Las Vegas 7
Mumbai 7
Nanchang 7
Norwalk 7
San Diego 7
Alicante 6
Arezzo 6
Aubervilliers 6
Basking Ridge 6
Boydton 6
Higashi-osaka 6
Hyderabad 6
Jeddah 6
Martigny 6
Tianjin 6
Yokohama 6
Barletta 5
Belgrade 5
Chengdu 5
Palo Alto 5
Saint Petersburg 5
Trento 5
Albuquerque 4
Beaverton 4
Bedford 4
Cardiff 4
Clearwater 4
Dhaka 4
Eskisehir 4
Faridabad 4
Florence 4
Gîza 4
Islamabad 4
Jaipur 4
Kolkata 4
La Varenne 4
Lanzo Torinese 4
Linz 4
Matsuyama 4
Moscow 4
Muizenberg 4
Nagoya 4
Naples 4
Olinda 4
Totale 1.920
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Nome #
3D face recognition: An automatic strategy based on geometrical descriptors and landmarks, file e384c42e-3491-d4b2-e053-9f05fe0a1d67 619
Design and Optimization of Graph Transform for Image and Video Compression, file e384c42f-70b6-d4b2-e053-9f05fe0a1d67 490
Steerable Discrete Cosine Transform, file e384c42f-5d57-d4b2-e053-9f05fe0a1d67 375
Steerable Discrete Cosine Transform, file e384c42e-d147-d4b2-e053-9f05fe0a1d67 352
Superpixel-driven graph transform for image compression, file e384c42e-c5cc-d4b2-e053-9f05fe0a1d67 263
Graph transform learning for image compression, file e384c42f-836d-d4b2-e053-9f05fe0a1d67 227
Predictive graph construction for image compression, file e384c42e-c5ca-d4b2-e053-9f05fe0a1d67 203
Deep Learning For Super-Resolution Of Unregistered Multi-Temporal Satellite Images, file e384c431-5a80-d4b2-e053-9f05fe0a1d67 64
Learning Graph-Convolutional Representations for Point Cloud Denoising, file e384c432-8620-d4b2-e053-9f05fe0a1d67 61
Deep Learning Methods for Synthetic Aperture Radar Image Despeckling: An Overview of Trends and Perspectives, file e384c433-e3c7-d4b2-e053-9f05fe0a1d67 57
Point Cloud Normal Estimation with Graph-Convolutional Neural Networks, file e384c432-7b50-d4b2-e053-9f05fe0a1d67 53
Learning Localized Representations of Point Clouds with Graph-Convolutional Generative Adversarial Networks, file e384c432-ad3f-d4b2-e053-9f05fe0a1d67 41
DIAGNOSING CLEFT LIP PATHOLOGY IN 3D ULTRASOUND: A LANDMARKING-BASED APPROACH, file e384c42f-26e3-d4b2-e053-9f05fe0a1d67 40
Learning Robust Graph-Convolutional Representations for Point Cloud Denoising, file e384c433-46b2-d4b2-e053-9f05fe0a1d67 36
DeepSUM: Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images, file e384c432-29c8-d4b2-e053-9f05fe0a1d67 35
Denoise and Contrast for Category Agnostic Shape Completion, file e384c433-dca8-d4b2-e053-9f05fe0a1d67 33
DeepSUM++: Non-local Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images, file e384c432-702b-d4b2-e053-9f05fe0a1d67 30
Towards Deep Unsupervised SAR Despeckling with Blind-Spot Convolutional Neural Networks, file e384c432-3779-d4b2-e053-9f05fe0a1d67 29
COVID-19 case data for Italy stratified by age class, file e384c433-657f-d4b2-e053-9f05fe0a1d67 24
Image Denoising with Graph-Convolutional Neural Networks, file e384c431-24cf-d4b2-e053-9f05fe0a1d67 20
Graph Transform Optimization with Application to Image Compression, file e384c431-263c-d4b2-e053-9f05fe0a1d67 18
A Novel Framework for Designing Directional Linear Transforms with Application to Video Compression, file e384c430-dbea-d4b2-e053-9f05fe0a1d67 17
Deep Graph-Convolutional Image Denoising, file e384c432-e09b-d4b2-e053-9f05fe0a1d67 16
DIAGNOSING CLEFT LIP PATHOLOGY IN 3D ULTRASOUND: A LANDMARKING-BASED APPROACH, file e384c430-d009-d4b2-e053-9f05fe0a1d67 14
On Optimal Clearing Payments in Financial Networks, file e384c434-867c-d4b2-e053-9f05fe0a1d67 14
Sparse ℓ₁- and ℓ₂-Center Classifiers, file e384c434-6218-d4b2-e053-9f05fe0a1d67 13
Multiclass Sparse Centroids With Application to Fast Time Series Classification, file e384c434-78a8-d4b2-e053-9f05fe0a1d67 12
Control of Dynamic Financial Networks, file e384c434-de68-d4b2-e053-9f05fe0a1d67 10
Semi-Supervised Learning for Joint SAR and Multispectral Land Cover Classification, file 28edb770-6d44-4ac6-a57d-fddf5178df83 9
NIR image colorization with graph-convolutional neural networks, file e384c433-3753-d4b2-e053-9f05fe0a1d67 9
Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks, file e384c434-969e-d4b2-e053-9f05fe0a1d67 9
RAN-GNNs: Breaking the Capacity Limits of Graph Neural Networks, file e384c434-a713-d4b2-e053-9f05fe0a1d67 8
Signal Compression via Neural Implicit Representations, file 2953f896-71f5-46e5-a61a-58eb8963f26f 6
Learning localized generative models for 3D point clouds via graph convolution, file e384c431-3429-d4b2-e053-9f05fe0a1d67 6
Age structure in SIRD models for the COVID-19 pandemic—A case study on Italy data and effects on mortality, file e384c434-6162-d4b2-e053-9f05fe0a1d67 6
Steerable Discrete Fourier Transform, file e384c434-cc67-d4b2-e053-9f05fe0a1d67 6
Clearing Payments in Dynamic Financial Networks, file c4244429-8c3e-4bf9-a679-602b5bb820c4 5
Sparse ι1 and ι2 center classifiers, file e384c434-a039-d4b2-e053-9f05fe0a1d67 5
Age class structure in SIRD models for the COVID-19 - An analysis of Tennessee data, file e384c434-a55c-d4b2-e053-9f05fe0a1d67 5
COVID-19 Case Data for Italy Stratified by Age Class, file 1724574f-e6b3-479e-b2c0-4c16fdb9489b 4
Sampling of graph signals via randomized local aggregations, file e384c430-398b-d4b2-e053-9f05fe0a1d67 4
Cleft lip pathology diagnosis and foetal landmark extraction via 3D geometrical analysis, file e384c432-5309-d4b2-e053-9f05fe0a1d67 4
RAN-GNNs: Breaking the Capacity Limits of Graph Neural Networks, file e384c434-6342-d4b2-e053-9f05fe0a1d67 4
Multi-Level Fusion for Burst Super-Resolution with Deep Permutation-Invariant Conditioning, file 98c86e63-e28c-4483-87d8-20ed1ab434d8 3
Point Cloud Normal Estimation with Graph-Convolutional Neural Networks, file e384c432-3777-d4b2-e053-9f05fe0a1d67 3
Learning Graph-Convolutional Representations for Point Cloud Denoising, file e384c432-aded-d4b2-e053-9f05fe0a1d67 3
Survival and Neural Models for Private Equity Exit Prediction, file e384c434-7aaa-d4b2-e053-9f05fe0a1d67 3
Sparse ι1 and ι2 center classifiers, file e384c434-bbf9-d4b2-e053-9f05fe0a1d67 3
Control of Dynamic Financial Networks, file e384c434-d1e2-d4b2-e053-9f05fe0a1d67 3
Clearing payments in dynamic financial networks, file 407c41b5-fe97-430f-addd-c8e80393de10 2
A Novel Framework for Designing Directional Linear Transforms with Application to Video Compression, file e384c430-dbe9-d4b2-e053-9f05fe0a1d67 2
Steerable Discrete Cosine Transform, file e384c433-0f41-d4b2-e053-9f05fe0a1d67 2
On Optimal Clearing Payments in Financial Networks, file e384c434-867b-d4b2-e053-9f05fe0a1d67 2
Survival and Neural Models for Private Equity Exit Prediction, file e384c434-874b-d4b2-e053-9f05fe0a1d67 2
Multiclass Sparse Centroids With Application to Fast Time Series Classification, file e384c434-bd6f-d4b2-e053-9f05fe0a1d67 2
Clearing Payments in Dynamic Financial Networks, file 1310715a-d703-46f2-a3d9-2f32a76626b7 1
Semi-Supervised Learning for Joint SAR and Multispectral Land Cover Classification, file 4d1fe187-e517-4576-83c6-3575dae416cc 1
Multi-Level Fusion for Burst Super-Resolution with Deep Permutation-Invariant Conditioning, file 50e1e8c8-12b4-4a65-80cb-cfd9a5bc407b 1
Graph Neural Networks, file 6ac4fb6b-99d3-4e1f-aa75-4dd109d3859e 1
Graph neural networks for image processing, file c8397b38-f59a-478e-89a6-07fd0096ee25 1
Image Denoising with Graph-Convolutional Neural Networks, file e384c431-5483-d4b2-e053-9f05fe0a1d67 1
Steerable Discrete Fourier Transform, file e384c432-0a79-d4b2-e053-9f05fe0a1d67 1
Learning Localized Representations of Point Clouds with Graph-Convolutional Generative Adversarial Networks, file e384c432-94e6-d4b2-e053-9f05fe0a1d67 1
Deep Graph-Convolutional Image Denoising, file e384c432-c110-d4b2-e053-9f05fe0a1d67 1
NIR image colorization with graph-convolutional neural networks, file e384c433-0520-d4b2-e053-9f05fe0a1d67 1
Learning Robust Graph-Convolutional Representations for Point Cloud Denoising, file e384c433-2d29-d4b2-e053-9f05fe0a1d67 1
Sampling of graph signals via randomized local aggregations, file e384c433-427a-d4b2-e053-9f05fe0a1d67 1
Deep Learning Methods for Synthetic Aperture Radar Image Despeckling: An Overview of Trends and Perspectives, file e384c433-e3c6-d4b2-e053-9f05fe0a1d67 1
Sparse ℓ₁- and ℓ₂-Center Classifiers, file e384c434-6219-d4b2-e053-9f05fe0a1d67 1
Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks, file e384c434-6f75-d4b2-e053-9f05fe0a1d67 1
Age class structure in SIRD models for the COVID-19 - An analysis of Tennessee data, file e384c434-8355-d4b2-e053-9f05fe0a1d67 1
Totale 3.302
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Categoria #
all - tutte 6.402
article - articoli 2.648
book - libri 0
conference - conferenze 3.055
curatela - curatele 0
other - altro 60
patent - brevetti 0
selected - selezionate 0
volume - volumi 2
Totale 12.167
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2018/2019119 0 0 0 0 0 0 0 0 0 25 40 54
2019/2020271 24 17 13 28 22 24 35 33 30 9 20 16
2020/2021394 31 37 26 35 32 27 41 33 38 30 41 23
2021/2022599 26 23 48 70 53 42 50 44 58 53 93 39
2022/2023307 25 25 40 21 18 63 33 17 29 24 12 0
2023/202422 0 0 0 5 1 2 3 7 4 0 0 0
Totale 3.302