Directly sending audio signals from a transmitter to a receiver across a...
Semantic communication is poised to play a pivotal role in shaping the
l...
Semantic communication is expected to be one of the cores of next-genera...
This paper addresses the problem of translating night-time thermal infra...
Image-to-image translation (I2I) aims at transferring the content
repres...
Traditionally, deep learning-based methods for breast cancer classificat...
The modeling of human emotion expression in speech signals is an importa...
Spatial audio methods are gaining a growing interest due to the spread o...
The L3DAS22 Challenge is aimed at encouraging the development of machine...
Hypercomplex neural networks have proved to reduce the overall number of...
Nonlinear models are known to provide excellent performance in real-worl...
Latest Generative Adversarial Networks (GANs) are gathering outstanding
...
The L3DAS21 Challenge is aimed at encouraging and fostering collaborativ...
Deep probabilistic generative models have achieved incredible success in...
Multiple sclerosis is one of the most common chronic neurological diseas...
In recent years, hyper-complex deep networks (e.g., quaternion-based) ha...
Complex-valued neural networks (CVNNs) have been shown to be powerful
no...
Learning from data in the quaternion domain enables us to exploit intern...
Gated recurrent neural networks have achieved remarkable results in the
...
Graph neural networks (GNNs) are a class of neural networks that allow t...
In this paper, we consider the joint task of simultaneously optimizing (...
Neural networks require a careful design in order to perform properly on...