MASSI, MICHELA CARLOTTA
 Distribuzione geografica
Continente #
EU - Europa 3.611
NA - Nord America 1.270
AS - Asia 978
SA - Sud America 174
AF - Africa 49
OC - Oceania 15
Continente sconosciuto - Info sul continente non disponibili 1
Totale 6.098
Nazione #
IT - Italia 2.534
US - Stati Uniti d'America 1.223
RU - Federazione Russa 658
SG - Singapore 355
CN - Cina 212
BR - Brasile 149
VN - Vietnam 101
FR - Francia 79
DE - Germania 77
GB - Regno Unito 77
KR - Corea 76
HK - Hong Kong 54
CH - Svizzera 48
JP - Giappone 45
CA - Canada 38
FI - Finlandia 37
IN - India 34
MA - Marocco 24
NL - Olanda 23
ID - Indonesia 20
IE - Irlanda 13
SE - Svezia 13
AU - Australia 12
TR - Turchia 12
BD - Bangladesh 11
ES - Italia 11
IR - Iran 10
AR - Argentina 8
CL - Cile 8
ZA - Sudafrica 8
LU - Lussemburgo 7
IQ - Iraq 6
PL - Polonia 6
EG - Egitto 5
PK - Pakistan 5
TW - Taiwan 5
AT - Austria 4
CZ - Repubblica Ceca 4
MX - Messico 4
MY - Malesia 4
PT - Portogallo 4
TH - Thailandia 4
JO - Giordania 3
MM - Myanmar 3
NZ - Nuova Zelanda 3
PH - Filippine 3
RO - Romania 3
SA - Arabia Saudita 3
TN - Tunisia 3
UZ - Uzbekistan 3
BH - Bahrain 2
CI - Costa d'Avorio 2
CO - Colombia 2
EC - Ecuador 2
ET - Etiopia 2
KE - Kenya 2
KG - Kirghizistan 2
LB - Libano 2
UA - Ucraina 2
AL - Albania 1
BA - Bosnia-Erzegovina 1
BB - Barbados 1
BG - Bulgaria 1
BO - Bolivia 1
BZ - Belize 1
DK - Danimarca 1
DO - Repubblica Dominicana 1
DZ - Algeria 1
GR - Grecia 1
GT - Guatemala 1
GY - Guiana 1
IS - Islanda 1
LK - Sri Lanka 1
LT - Lituania 1
LV - Lettonia 1
MD - Moldavia 1
MZ - Mozambico 1
NO - Norvegia 1
PE - Perù 1
PS - Palestinian Territory 1
PY - Paraguay 1
SI - Slovenia 1
SN - Senegal 1
SV - El Salvador 1
SY - Repubblica araba siriana 1
VE - Venezuela 1
XK - ???statistics.table.value.countryCode.XK??? 1
Totale 6.098
Città #
Genova 626
Ashburn 226
Singapore 195
Chandler 143
San Jose 124
Milan 119
Moscow 119
Seoul 62
Council Bluffs 47
Santa Clara 46
Tokyo 43
The Dalles 39
Hong Kong 37
Lausanne 36
Hefei 32
Beijing 31
Boardman 29
Redwood City 29
Helsinki 27
Los Angeles 26
New York 25
Lauterbourg 23
Ottawa 22
Fairfield 20
Ho Chi Minh City 20
Casablanca 18
São Paulo 18
Hanoi 17
Dallas 16
Wilmington 16
Frankfurt am Main 15
Dublin 13
London 13
Rome 13
Buffalo 12
Medford 12
Glasgow 11
Jakarta 11
Kent 11
Lawrence 11
Turin 11
Düsseldorf 10
North Charleston 10
Seattle 10
Washington 10
Munich 9
Brasília 8
Busto Arsizio 8
Columbus 8
Genoa 8
Houston 8
San Diego 8
Bologna 7
Cambridge 7
Garbana 7
Ispra 7
Montreal 7
Málaga 7
Woodbridge 7
Amsterdam 6
Belo Horizonte 6
Berlin 6
Falkenstein 6
Guangzhou 6
Naples 6
Orem 6
Paris 6
San Francisco 6
Santiago 6
Turku 6
Ann Arbor 5
Atlanta 5
Chennai 5
Chicago 5
Dong Ket 5
Edinburgh 5
Nuremberg 5
Portsmouth 5
Sydney 5
Thiruvananthapuram 5
Vimodrone 5
Warsaw 5
Basingstoke 4
Central 4
Da Nang 4
Florence 4
Gallarate 4
Haiphong 4
Heidelberg 4
Lappeenranta 4
Las Vegas 4
Marseille 4
Piscataway 4
Plano 4
Pretoria 4
Quartu Sant'Elena 4
Redondo Beach 4
Seveso 4
Shanghai 4
Adilabad 3
Totale 2.707
Nome #
Interpretability and interaction learning for logistic regression models 728
Development of a method for generating SNP interaction-aware polygenic risk scores for radiotherapy toxicity 670
Deep Sparse Autoencoder-based Feature Selection for SNPs validation in Prostate Cancer Radiogenomics 630
A Deep Learning Approach Validates Genetic Risk Factors for Late Toxicity After Prostate Cancer Radiotherapy in a REQUITE Multi-National Cohort 549
PH-0656 Prediction of toxicity after prostate cancer RT: the value of a SNP-interaction polygenic risk score 510
Prediction of late radiotherapy toxicity in prostate cancer patients via joint analysis of SNPs sequences 475
Cross-Subject EEG Channel Selection for the Detection of Predisposition to Alcoholism 404
Data Mining Application to Healthcare Fraud Detection: Two-Step Unsupervised Clustering Method for Outlier Detection with Administrative Databases 350
Data mining application to healthcare fraud detection: a two-step unsupervised clustering method for outlier detection with administrative databases 235
Feature selection for imbalanced data with deep sparse autoencoders ensemble 188
Learning Signal Representations for EEG Cross-Subject Channel Selection and Trial Classification 180
Predictive digital twins for health monitoring: From structural safety to personalized medicine 168
Prediction of incident cardiovascular events using omics-derived latent factors 165
A Deep Survival EWAS approach estimating risk profile based on pre-diagnostic DNA methylation: An application to breast cancer time to diagnosis 152
A predictive Digital Twin framework for risk assessment in congestive heart failure 143
Predictive Digital Twins for Congestive Heart Failure Patients 140
Deep generative models to improve polygenic risk scores’ accuracy and portability across ancestries and admixtures 132
Dual adversarial deconfounding autoencoder for joint batch-effects removal from multi-center and multi-scanner radiomics data 121
A generative machine learning approach to generate genotypes and phenotypes for privacy-preserving sharing of polygenic risk prediction data 70
A deep learning representation of common genetic variants improves the prediction of coronary artery disease beyond polygenic risk scores 67
Predicted deleterious rare variants in non-hypertrophic cardiomyopathy genes increase the risk for severe cardiac events: evidence from the UK Biobank 44
Deep learning-based phenotyping of complex health data increases disease prediction power over traditional features 18
Totale 6.139
Categoria #
all - tutte 11.685
article - articoli 5.118
book - libri 0
conference - conferenze 6.567
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 23.370


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/202131 0 0 0 0 0 0 0 0 0 0 0 31
2021/20222.497 16 14 581 109 1.095 331 131 71 43 35 39 32
2022/2023303 27 25 14 38 38 43 16 22 32 11 21 16
2023/2024193 25 24 16 8 4 14 22 25 5 25 15 10
2024/2025808 4 8 25 23 71 55 104 174 81 54 115 94
2025/20262.071 410 327 92 150 122 139 292 101 157 186 68 27
Totale 6.139