A problem with Convolutional Neural Networks (CNNs) is that they require...
Semantic segmentation consists in classifying each pixel of an image by
...
Multilabel learning tackles the problem of associating a sample with mul...
Pest infestation is a major cause of crop damage and lost revenues world...
Semantic segmentation has a wide array of applications ranging from
medi...
Stochastic gradient descent (SGD) is the main approach for training deep...
Classification of biological images is an important task with crucial
ap...
Oceans are the essential lifeblood of the Earth: they provide over 70
ox...
In this work we propose a novel post processing approach for skin detect...
In this paper we address the problem of protein classification starting ...
The aim of this work is to propose an ensemble of descriptors for Melano...
Skin detection is the process of discriminating skin and non-skin region...