|
December 25, 2025
<sid.inpe.br/sibgrapi/2020/09.30.23.54>
(repository)
Conference Proceedings
A Survey on Deep Learning with Noisy Labels: How to train your model when you cannot trust on the annotations?
Cordeiro, Filipe Rolim & Carneiro, Gustavo :2020:
(metadata from site <sibgrapi.sid.inpe.br 802>)
The number of visits1 since
October 23, 2020
is 911.
Average number of visits per day
over 10 periods of 189 days |
 0.59   |
 0.78   |
 0.58   |
 0.53   |
 0.40   |
 0.41   |
 0.37   |
 0.48   |
 0.10   |
 0.59   |
 1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
9 |
10   | |
The height of the purple bar is proportional to the average number of visits per day within the corresponding period.
Period 1 begins on October 23, 2020 (  ),
and Period 10 ends on December 25, 2025 (  ).
The number of visits over the 10 periods is 911.
The average number of visits per day over the 10 periods is 0.48.
1Before May 17, 2015, all each user visits (IP) were added, thereafter, only one visit per day for each user (IP) is added.
|