The intrinsic difficulty in adapting deep learning models to non-station...
In this paper, we present PARTIME, a software library written in Python ...
Devising intelligent agents able to live in an environment and learn by
...
Amongst a variety of approaches aimed at making the learning procedure o...
Graph Drawing techniques have been developed in the last few years with ...
In the last few years, the scientific community showed a remarkable and
...
Continual learning refers to the ability of humans and animals to
increm...
In the last decade, motivated by the success of Deep Learning, the scien...
Italian is a Romance language that has its roots in Vulgar Latin. The bi...
Recently, researchers in Machine Learning algorithms, Computer Vision
sc...
Unsupervised learning from continuous visual streams is a challenging pr...
Several real-world applications are characterized by data that exhibit a...
In this paper we study a constraint-based representation of neural netwo...
In many real world applications, data are characterized by a complex
str...