LUP Statistics
Record
- Title
- Improving the semantic accuracy and consistency of OpenStreetMap using machine learning techniques
- Type
- Student Paper
- Publ. year
- 2018
- Author/s
- Stypa, Michal; Sandberg, Hannes
- Department/s
- Department of Computer Science
- In LUP since
- 2019-02-22
Downloads
| Total | This Year | This Month |
| 530 | 105 | 0 |
Sweden  |
125 (24%) |
United States of America  |
97 (18%) |
China  |
50 (9%) |
Germany  |
46 (9%) |
United Kingdom of Great Britain and Northern Ireland  |
21 (4%) |
Hong Kong (China)  |
15 (3%) |
Russian Federation  |
12 (2%) |
Australia  |
11 (2%) |
France  |
10 (2%) |
Switzerland  |
9 (2%) |
Brazil  |
9 (2%) |
Unknown  |
9 (2%) |
Viet Nam  |
8 (2%) |
Canada  |
7 (1%) |
Czechia  |
7 (1%) |
India  |
6 (1%) |
Italy  |
6 (1%) |
South Africa  |
6 (1%) |
Iran  |
6 (1%) |
Netherlands (Kingdom of the)  |
5 (1%) |
Latvia  |
5 (1%) |
Taiwan (China)  |
4 (1%) |
Belgium  |
3 (1%) |
Denmark  |
3 (1%) |
Ireland  |
3 (1%) |
Thailand  |
3 (1%) |
Turkiye  |
3 (1%) |
Ukraine  |
3 (1%) |
Argentina  |
3 (1%) |
Pakistan  |
2 (0%) |
Austria  |
2 (0%) |
Morocco  |
2 (0%) |
Indonesia  |
2 (0%) |
Namibia  |
1 (0%) |
South Korea  |
1 (0%) |
Iraq  |
1 (0%) |
Finland  |
1 (0%) |
Gabon  |
1 (0%) |
Kuwait  |
1 (0%) |
Albania  |
1 (0%) |
Mexico  |
1 (0%) |
Bosnia and Herzegovina  |
1 (0%) |
Philippines  |
1 (0%) |
Venezuela  |
1 (0%) |
Greece  |
1 (0%) |
Portugal  |
1 (0%) |
Ecuador  |
1 (0%) |
Yemen  |
1 (0%) |
Senegal  |
1 (0%) |
Lithuania  |
1 (0%) |
Singapore  |
1 (0%) |
Malaysia  |
1 (0%) |
Seychelles  |
1 (0%) |
Norway  |
1 (0%) |
Spain  |
1 (0%) |
Colombia  |
1 (0%) |
Luxembourg  |
1 (0%) |
Curacao  |
1 (0%) |
Bangladesh  |
1 (0%) |
Honduras  |
1 (0%) |