PORRO, ROSA
 Distribuzione geografica
Continente #
AS - Asia 71
EU - Europa 59
NA - Nord America 46
SA - Sud America 22
Totale 198
Nazione #
US - Stati Uniti d'America 43
SG - Singapore 35
IT - Italia 33
BR - Brasile 16
CN - Cina 9
HK - Hong Kong 9
NL - Olanda 9
VN - Vietnam 9
GE - Georgia 5
DE - Germania 3
GB - Regno Unito 3
MX - Messico 3
PE - Perù 3
RU - Federazione Russa 3
SE - Svezia 3
AT - Austria 2
ID - Indonesia 2
AR - Argentina 1
CL - Cile 1
ES - Italia 1
FI - Finlandia 1
IR - Iran 1
JO - Giordania 1
PL - Polonia 1
PY - Paraguay 1
Totale 198
Città #
Singapore 15
Ashburn 12
Hong Kong 9
Beijing 8
Milan 5
Tbilisi 5
Bari 4
Altamura 2
Denver 2
Fara in Sabina 2
Ghilarza 2
Hanoi 2
Ho Chi Minh City 2
Jakarta 2
Lima 2
Los Angeles 2
New York 2
Nuremberg 2
Sant'Agata Li Battiati 2
Stockholm 2
Turin 2
Vienna 2
Amman 1
Atlanta 1
Augusto Corrêa 1
Bismarck 1
Blumenau 1
Buffalo 1
Campo Grande 1
Cao Lanh 1
Cataguases 1
Chandler 1
Chiclayo 1
Concepción 1
Dallas 1
Dayton 1
Feira de Santana 1
Greensboro 1
Guareí 1
Haiphong 1
Helsinki 1
Houston 1
Itanhém 1
Las Toscas 1
London 1
Luque 1
Manaus 1
Manchester 1
Maringá 1
Matupá 1
Mexico City 1
Nyköping 1
Olímpia 1
Orem 1
Orlando 1
Petrópolis 1
Phoenix 1
Pisa 1
Poplar 1
Porto Franco 1
Querétaro 1
Quận Bảy 1
San Francisco 1
São José do Rio Preto 1
Turiaçu 1
Uriangato 1
Vila Rica 1
Vĩnh Long 1
Warsaw 1
Totale 135
Nome #
Predicting Investor Behavior and Investment Patterns in Equity and Lending Crowdfunding Campaigns 74
Natural bioactive compounds against oxidative stress: dietary polyphenols strike back 57
Pathways to success: a machine learning approach to predicting investor dynamics in equity and lending crowdfunding campaigns 39
Agricultural intensification at local and landscape scales impacts sweet cherry production through altered pollination services 28
Crowdfunding has evolved into a formidable mechanism for collective financing, challenging traditional funding sources such as bank loans, venture capital, and private equity with its global reach and versatile applications across various sectors. This paper explores the complex dynamics of crowdfunding platforms, particularly focusing on investor behaviour and investment patterns within equity and lending campaigns in Italy. By leveraging advanced machine learning techniques, including XGBoost and LSTM networks, we develop predictive models that dynamically analyze real-time and historical data to accurately forecast the success or failure of crowdfunding campaigns. To address the existing gaps in crowdfunding analysis tools, we introduce two novel datasets—one for equity crowdfunding and another for lending. Moreover, our approach extends beyond traditional binary success metrics, proposing novel measures. The insights gained from this study could support crowdfunding strategies, significantly improving project selection and promotional tactics on platforms. By enhancing decision-making processes and providing forward-looking guidance to investors, our computational model aims to empower both campaign creators and platform administrators, ultimately improving the overall efficacy and sustainability of crowdfunding as a financing tool. 13
Totale 211
Categoria #
all - tutte 714
article - articoli 0
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 714


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2022/20234 0 0 0 0 2 0 0 2 0 0 0 0
2023/202422 0 0 2 2 1 3 0 0 11 1 0 2
2024/202573 6 1 4 0 5 6 9 6 5 3 7 21
2025/2026112 29 11 16 26 27 3 0 0 0 0 0 0
Totale 211