Atsuto Maki
Associate Professor, KTH
This work presents a study on label noise in medical image segmentation ...
This paper presents a study on the soft-Dice loss, one of the most popul...
This paper proposes a new method for anomaly detection in time-series da...
We propose Dense FixMatch, a simple method for online semi-supervised
le...
Knowledge transfer between artificial neural networks has become an impo...
Most semi-supervised learning methods over-sample labeled data when
cons...
This paper discusses a new type of discriminant analysis based on the
or...
This paper is about regularizing deep convolutional networks (ConvNets) ...
Training a deep object detector for autonomous driving requires a huge a...
This paper presents an automatic network adaptation method that finds a
...
We propose an approach to Multitask Learning (MTL) to make deep learning...
In this study, we systematically investigate the impact of class imbalan...
Power packet is a unit of electric power transferred by a power pulse wi...
This paper provides an extensive study on the availability of image
repr...
Supervised training of a convolutional network for object classification...
Evidence is mounting that Convolutional Networks (ConvNets) are the most...