DEL BUONO, FRANCESCO
Distribuzione geografica
Continente | # |
---|---|
EU - Europa | 452 |
NA - Nord America | 386 |
AS - Asia | 382 |
AF - Africa | 27 |
SA - Sud America | 15 |
OC - Oceania | 9 |
Totale | 1.271 |
Nazione | # |
---|---|
US - Stati Uniti d'America | 337 |
IT - Italia | 125 |
DE - Germania | 99 |
HK - Hong Kong | 82 |
CN - Cina | 72 |
FR - Francia | 69 |
CA - Canada | 47 |
JP - Giappone | 44 |
IN - India | 28 |
SG - Singapore | 28 |
PL - Polonia | 23 |
NL - Olanda | 20 |
GB - Regno Unito | 19 |
IR - Iran | 18 |
MY - Malesia | 18 |
GR - Grecia | 15 |
SA - Arabia Saudita | 15 |
TW - Taiwan | 14 |
DZ - Algeria | 13 |
IL - Israele | 13 |
TR - Turchia | 12 |
CH - Svizzera | 10 |
PT - Portogallo | 10 |
AT - Austria | 9 |
AU - Australia | 9 |
BR - Brasile | 9 |
DK - Danimarca | 7 |
ID - Indonesia | 7 |
LT - Lituania | 7 |
NO - Norvegia | 7 |
ES - Italia | 5 |
KR - Corea | 5 |
LU - Lussemburgo | 5 |
RO - Romania | 5 |
TN - Tunisia | 5 |
BD - Bangladesh | 4 |
CO - Colombia | 4 |
ET - Etiopia | 4 |
HU - Ungheria | 4 |
QA - Qatar | 4 |
LK - Sri Lanka | 3 |
PK - Pakistan | 3 |
TH - Thailandia | 3 |
BG - Bulgaria | 2 |
FI - Finlandia | 2 |
HR - Croazia | 2 |
JO - Giordania | 2 |
MA - Marocco | 2 |
MX - Messico | 2 |
RS - Serbia | 2 |
RU - Federazione Russa | 2 |
SN - Senegal | 2 |
VN - Vietnam | 2 |
AE - Emirati Arabi Uniti | 1 |
BO - Bolivia | 1 |
CL - Cile | 1 |
CZ - Repubblica Ceca | 1 |
GE - Georgia | 1 |
IE - Irlanda | 1 |
KW - Kuwait | 1 |
MO - Macao, regione amministrativa speciale della Cina | 1 |
OM - Oman | 1 |
UA - Ucraina | 1 |
ZA - Sudafrica | 1 |
Totale | 1.271 |
Città | # |
---|---|
Seattle | 57 |
Central | 55 |
Falls Church | 37 |
Ashburn | 24 |
Tokyo | 22 |
Modena | 18 |
Toronto | 17 |
Kuala Lumpur | 16 |
Los Angeles | 16 |
Beijing | 13 |
London | 13 |
San Jose | 12 |
Bologna | 11 |
Roorkee | 11 |
Sequals | 11 |
Rome | 10 |
Singapore | 10 |
At Tuwal | 9 |
Tel Aviv | 9 |
Fairfield | 8 |
Magdeburg | 8 |
Poznan | 8 |
Vienna | 8 |
Boardman | 7 |
Edmonton | 7 |
Lyon | 7 |
Milan | 7 |
Philadelphia | 7 |
Shanghai | 7 |
Taipei | 7 |
Watertown | 7 |
Fremont | 6 |
Harrison | 6 |
Hong Kong | 6 |
Paris | 6 |
Wiefelstede | 6 |
Ames | 5 |
Bengaluru | 5 |
Bonn | 5 |
Newark | 5 |
Ottawa | 5 |
Parma | 5 |
Potsdam | 5 |
Riyadh | 5 |
Sant'Ilario d'Enza | 5 |
Zgierz | 5 |
Zurich | 5 |
ash-Shalif | 5 |
Amsterdam | 4 |
Anaheim | 4 |
Athens | 4 |
Berlin | 4 |
Cologne | 4 |
Doha | 4 |
Fisciano | 4 |
Genoa | 4 |
Kitaku | 4 |
Lisbon | 4 |
Mannheim | 4 |
Medellín | 4 |
Nakamachi | 4 |
New Taipei | 4 |
New York | 4 |
Omaha | 4 |
Oslo | 4 |
Villeurbanne | 4 |
Warsaw | 4 |
Zalasewo | 4 |
Addis Ababa | 3 |
Bomporto | 3 |
Bracknell | 3 |
Budapest | 3 |
Bursa | 3 |
Champaign | 3 |
Chaoyang | 3 |
Chapecó | 3 |
Chicago | 3 |
Colombo | 3 |
Frankfurt am Main | 3 |
Graz | 3 |
Leipzig | 3 |
Nijmegen | 3 |
Oldenburg | 3 |
Rivalta | 3 |
Rosenheim | 3 |
Tallahassee | 3 |
Tekirdağ | 3 |
Tunis | 3 |
Wichita | 3 |
Amstelveen | 2 |
Ankara | 2 |
Augsburg | 2 |
Bangkok | 2 |
Bari | 2 |
Belgrade | 2 |
Beni Mellal | 2 |
Bern | 2 |
Bordeaux | 2 |
Boydton | 2 |
Brandenburg | 2 |
Totale | 714 |
Nome | # |
---|---|
Analyzing How BERT Performs Entity Matching, file f83cad75-ba55-48ef-9b0e-ba75611a3b14 | 472 |
Automated Machine Learning for Entity Matching Tasks, file e31e124f-f8c3-987f-e053-3705fe0a095a | 403 |
Time2Feat: Learning Interpretable Representations for Multivariate Time Series Clustering, file 827e97e1-912e-4262-9022-26dd290751b0 | 259 |
Using Landmarks for Explaining Entity Matching Models, file e31e124f-ca59-987f-e053-3705fe0a095a | 130 |
Novelty Detection with Autoencoders for System Health Monitoring in Industrial Environments, file e31e1250-a2f2-987f-e053-3705fe0a095a | 23 |
Totale | 1.287 |
Categoria | # |
---|---|
all - tutte | 2.759 |
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 | 2.759 |
Totale | Lug | Ago | Sett | Ott | Nov | Dic | Gen | Feb | Mar | Apr | Mag | Giu | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2020/2021 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
2021/2022 | 240 | 45 | 14 | 12 | 5 | 27 | 13 | 39 | 11 | 27 | 17 | 22 | 8 |
2022/2023 | 509 | 8 | 15 | 12 | 9 | 51 | 62 | 62 | 72 | 68 | 57 | 52 | 41 |
2023/2024 | 537 | 35 | 38 | 78 | 76 | 59 | 61 | 60 | 33 | 22 | 75 | 0 | 0 |
Totale | 1.287 |