FAVILLA, Stefania
Distribuzione geografica
| Continente | # |
|---|---|
| NA - Nord America | 193 |
| EU - Europa | 56 |
| AS - Asia | 40 |
| OC - Oceania | 8 |
| AF - Africa | 6 |
| Totale | 303 |
| Nazione | # |
|---|---|
| US - Stati Uniti d'America | 182 |
| CN - Cina | 16 |
| IT - Italia | 12 |
| CA - Canada | 9 |
| AU - Australia | 6 |
| DE - Germania | 6 |
| FR - Francia | 6 |
| SE - Svezia | 5 |
| ES - Italia | 4 |
| GB - Regno Unito | 4 |
| IE - Irlanda | 4 |
| IN - India | 4 |
| IQ - Iraq | 4 |
| NL - Olanda | 4 |
| RO - Romania | 4 |
| JP - Giappone | 3 |
| ZA - Sudafrica | 3 |
| CZ - Repubblica Ceca | 2 |
| HK - Hong Kong | 2 |
| IR - Iran | 2 |
| LT - Lituania | 2 |
| MA - Marocco | 2 |
| MX - Messico | 2 |
| NZ - Nuova Zelanda | 2 |
| TR - Turchia | 2 |
| AE - Emirati Arabi Uniti | 1 |
| AZ - Azerbaigian | 1 |
| BE - Belgio | 1 |
| CH - Svizzera | 1 |
| DK - Danimarca | 1 |
| GH - Ghana | 1 |
| IL - Israele | 1 |
| KR - Corea | 1 |
| MY - Malesia | 1 |
| SG - Singapore | 1 |
| TW - Taiwan | 1 |
| Totale | 303 |
| Città | # |
|---|---|
| Houston | 26 |
| Fairfield | 25 |
| Cambridge | 16 |
| Woodbridge | 15 |
| Ashburn | 12 |
| Ann Arbor | 9 |
| Modena | 9 |
| Wilmington | 9 |
| Santa Cruz | 8 |
| Seattle | 8 |
| Buffalo | 7 |
| Guelph | 5 |
| Wuhan | 5 |
| Beijing | 4 |
| Dublin | 4 |
| Stockholm | 4 |
| Bengaluru | 3 |
| Boardman | 3 |
| San Diego | 3 |
| Auckland | 2 |
| Denver | 2 |
| Elbersdorf | 2 |
| Fes | 2 |
| Hangzhou | 2 |
| Kimberley | 2 |
| Leeton | 2 |
| Melbourne | 2 |
| Ottawa | 2 |
| Shanghai | 2 |
| St Louis | 2 |
| Valladolid | 2 |
| Absecon | 1 |
| Atlanta | 1 |
| Boiling Springs | 1 |
| Boulder | 1 |
| Bremen | 1 |
| Bucharest | 1 |
| Central | 1 |
| Changchun | 1 |
| Chicago | 1 |
| Cluj-napoca | 1 |
| Columbus | 1 |
| Copenhagen | 1 |
| Council Bluffs | 1 |
| Dallas | 1 |
| Des Moines | 1 |
| Dresden | 1 |
| Fürth | 1 |
| Göteborg | 1 |
| Hamilton | 1 |
| Istanbul | 1 |
| Jerusalem | 1 |
| Johannesburg | 1 |
| Lake Forest | 1 |
| Las Vegas | 1 |
| Le Cres | 1 |
| Los Angeles | 1 |
| Louvain | 1 |
| Mappano | 1 |
| Miami | 1 |
| Minneapolis | 1 |
| Muar | 1 |
| Nagoya | 1 |
| Otopeni | 1 |
| Paris | 1 |
| Phoenix | 1 |
| Piacenza | 1 |
| Provo | 1 |
| Rennes | 1 |
| Rize | 1 |
| San Jose | 1 |
| Seongbuk-gu | 1 |
| Sevilla | 1 |
| Singapore | 1 |
| Sydney | 1 |
| Tamasi | 1 |
| Toronto | 1 |
| Villafranca di Verona | 1 |
| Vitoria | 1 |
| Wageningen | 1 |
| Totale | 248 |
| Nome | # |
|---|---|
| Assessing feature relevance in NPLS models by VIP, file e31e124b-c702-987f-e053-3705fe0a095a | 303 |
| A regularization algorithm for decoding perceptual temporal profiles from fMRI data, file e31e124b-43e1-987f-e053-3705fe0a095a | 4 |
| Assessing feature relevance in NPLS models by VIP, file e31e124b-c703-987f-e053-3705fe0a095a | 2 |
| Totale | 309 |
| Categoria | # |
|---|---|
| all - tutte | 561 |
| 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 | 561 |
| Totale | Lug | Ago | Sett | Ott | Nov | Dic | Gen | Feb | Mar | Apr | Mag | Giu | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018/2019 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 |
| 2019/2020 | 44 | 2 | 2 | 2 | 4 | 3 | 5 | 5 | 7 | 5 | 3 | 2 | 4 |
| 2020/2021 | 47 | 4 | 2 | 5 | 1 | 0 | 5 | 2 | 4 | 8 | 2 | 12 | 2 |
| 2021/2022 | 104 | 7 | 13 | 4 | 18 | 8 | 2 | 11 | 4 | 9 | 12 | 12 | 4 |
| 2022/2023 | 76 | 1 | 6 | 8 | 5 | 8 | 8 | 6 | 1 | 5 | 11 | 10 | 7 |
| 2023/2024 | 18 | 6 | 7 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Totale | 309 | ||||||||||||