CORRIGA, ANDREA
Distribuzione geografica
| Continente | # |
|---|---|
| EU - Europa | 399 |
| AS - Asia | 308 |
| AF - Africa | 186 |
| NA - Nord America | 117 |
| SA - Sud America | 42 |
| OC - Oceania | 6 |
| Totale | 1.058 |
| Nazione | # |
|---|---|
| IT - Italia | 303 |
| US - Stati Uniti d'America | 108 |
| IN - India | 93 |
| ID - Indonesia | 51 |
| EG - Egitto | 49 |
| IR - Iran | 41 |
| VE - Venezuela | 30 |
| NG - Nigeria | 26 |
| GH - Ghana | 25 |
| ET - Etiopia | 21 |
| GB - Regno Unito | 21 |
| TR - Turchia | 20 |
| PK - Pakistan | 18 |
| DZ - Algeria | 13 |
| FR - Francia | 13 |
| ZA - Sudafrica | 11 |
| BD - Bangladesh | 10 |
| DE - Germania | 10 |
| PH - Filippine | 9 |
| BR - Brasile | 8 |
| CZ - Repubblica Ceca | 8 |
| RS - Serbia | 7 |
| AU - Australia | 6 |
| IL - Israele | 6 |
| MA - Marocco | 6 |
| SC - Seychelles | 6 |
| UG - Uganda | 6 |
| ZM - Zambia | 6 |
| BH - Bahrain | 5 |
| KR - Corea | 5 |
| MX - Messico | 5 |
| PT - Portogallo | 5 |
| SA - Arabia Saudita | 5 |
| TN - Tunisia | 5 |
| VN - Vietnam | 5 |
| CN - Cina | 4 |
| GR - Grecia | 4 |
| HK - Hong Kong | 4 |
| JP - Giappone | 4 |
| MM - Myanmar | 4 |
| SG - Singapore | 4 |
| AE - Emirati Arabi Uniti | 3 |
| AL - Albania | 3 |
| CA - Canada | 3 |
| DK - Danimarca | 3 |
| NL - Olanda | 3 |
| NP - Nepal | 3 |
| PE - Perù | 3 |
| SI - Slovenia | 3 |
| AO - Angola | 2 |
| AT - Austria | 2 |
| ER - Eritrea | 2 |
| FI - Finlandia | 2 |
| HR - Croazia | 2 |
| IE - Irlanda | 2 |
| IQ - Iraq | 2 |
| JO - Giordania | 2 |
| NA - Namibia | 2 |
| PS - Palestinian Territory | 2 |
| SN - Senegal | 2 |
| TH - Thailandia | 2 |
| TJ - Tagikistan | 2 |
| UA - Ucraina | 2 |
| AR - Argentina | 1 |
| BW - Botswana | 1 |
| BY - Bielorussia | 1 |
| CM - Camerun | 1 |
| JM - Giamaica | 1 |
| KE - Kenya | 1 |
| KZ - Kazakistan | 1 |
| LB - Libano | 1 |
| LU - Lussemburgo | 1 |
| LY - Libia | 1 |
| MK - Macedonia | 1 |
| MY - Malesia | 1 |
| PL - Polonia | 1 |
| RO - Romania | 1 |
| RU - Federazione Russa | 1 |
| UZ - Uzbekistan | 1 |
| Totale | 1.058 |
| Città | # |
|---|---|
| Cagliari | 194 |
| Jakarta | 35 |
| Misr | 35 |
| Accra | 25 |
| Kano | 18 |
| Caracas | 15 |
| Valencia | 15 |
| Bengaluru | 14 |
| Tehran | 14 |
| Depok | 12 |
| Milan | 12 |
| Rome | 10 |
| Mumbai | 9 |
| Trivandrum | 9 |
| Islamabad | 8 |
| Santa Cruz | 8 |
| Ashburn | 7 |
| Carrara | 7 |
| Fairfield | 7 |
| Istanbul | 7 |
| Montemurlo | 7 |
| Seattle | 7 |
| Una | 7 |
| Cambridge | 6 |
| Houston | 6 |
| London | 6 |
| Lusaka | 6 |
| Philadelphia | 6 |
| Prague | 6 |
| Busan | 5 |
| Delhi | 5 |
| Majdanpek | 5 |
| Manama | 5 |
| New Delhi | 5 |
| Qiryat Shmona | 5 |
| Athens | 4 |
| Buffalo | 4 |
| Cairo | 4 |
| Kampala | 4 |
| Karachi | 4 |
| Perth | 4 |
| Randolph Township | 4 |
| Tokyo | 4 |
| Tunis | 4 |
| Turin | 4 |
| Abaetetuba | 3 |
| Ankara | 3 |
| Bhubaneswar | 3 |
| Bitetto | 3 |
| Boardman | 3 |
| Cape Town | 3 |
| Copenhagen | 3 |
| Kathmandu | 3 |
| Lima | 3 |
| Ljubljana | 3 |
| Manila | 3 |
| Navi Mumbai | 3 |
| New York | 3 |
| Pisa | 3 |
| Pune | 3 |
| Riyadh | 3 |
| Robbiate | 3 |
| Sucat | 3 |
| Wilmington | 3 |
| Woodbridge | 3 |
| Addis Ababa | 2 |
| Amsterdam | 2 |
| Anantapur | 2 |
| Ancona | 2 |
| Asmara | 2 |
| Augusta | 2 |
| Aydin | 2 |
| Balikesir | 2 |
| Belgrade | 2 |
| Bonn | 2 |
| Canary Wharf | 2 |
| Cantu | 2 |
| Capannori | 2 |
| Central | 2 |
| Coimbatore | 2 |
| Colle di Val d'Elsa | 2 |
| Dakar | 2 |
| Danbury | 2 |
| Dong Ket | 2 |
| Dubai | 2 |
| Dublin | 2 |
| Gaza | 2 |
| Gaziantep | 2 |
| Gonnosfanàdiga | 2 |
| Helsinki | 2 |
| Hyderabad | 2 |
| Johannesburg | 2 |
| Kalamazoo | 2 |
| Kastel Stafilic | 2 |
| Keputih | 2 |
| Kolkata | 2 |
| Konya | 2 |
| Lagos | 2 |
| Lucca | 2 |
| Medina | 2 |
| Totale | 718 |
| Nome | # |
|---|---|
| Artificial Intelligence Approaches Applied To The Financial Forecasting Domain, file e2f56eda-8fe2-3eaf-e053-3a05fe0a5d97 | 824 |
| A holistic auto-configurable ensemble machine learning strategy for financial trading, file e2f56ed9-3b22-3eaf-e053-3a05fe0a5d97 | 264 |
| A supervised multi-class multi-label word embeddings approach for toxic comment classification, file e2f56ed8-7ff9-3eaf-e053-3a05fe0a5d97 | 3 |
| null, file e2f56eda-8140-3eaf-e053-3a05fe0a5d97 | 3 |
| Deep learning and time series-to-image encoding for financial forecasting, file e2f56eda-93ea-3eaf-e053-3a05fe0a5d97 | 3 |
| Leveraging cognitive computing for gender and emotion detection, file e2f56ed7-c1d8-3eaf-e053-3a05fe0a5d97 | 1 |
| null, file e2f56ed9-f4f6-3eaf-e053-3a05fe0a5d97 | 1 |
| Totale | 1.099 |
| Categoria | # |
|---|---|
| all - tutte | 1.577 |
| 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 | 1.577 |
| Totale | Lug | Ago | Sett | Ott | Nov | Dic | Gen | Feb | Mar | Apr | Mag | Giu | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018/2019 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| 2019/2020 | 21 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 5 | 5 | 5 | 3 | 1 |
| 2020/2021 | 202 | 4 | 1 | 8 | 88 | 61 | 4 | 13 | 4 | 3 | 5 | 5 | 6 |
| 2021/2022 | 213 | 5 | 1 | 1 | 0 | 2 | 4 | 0 | 0 | 65 | 45 | 43 | 47 |
| 2022/2023 | 394 | 47 | 77 | 77 | 58 | 19 | 22 | 5 | 28 | 35 | 4 | 12 | 10 |
| 2023/2024 | 268 | 15 | 7 | 30 | 18 | 16 | 16 | 44 | 26 | 38 | 38 | 20 | 0 |
| Totale | 1.099 | ||||||||||||