January 19, 2021
<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 22, 2020 is 63.

Average number of visits per day over 10 periods of 9 days

0.2 3.1 2.3 0.3 0.1 0.1 0.2 0.1 0.3 0.1   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 22, 2020 ( ), and Period 10 ends on January 19, 2021 ( ).
The number of visits over the 10 periods is 63.
The average number of visits per day over the 10 periods is 0.70.
¹Before May 17, 2015, all each user visits (IP) were added, thereafter, only one visit per day for each user (IP) is added.