Convolutional layers are a fundamental component of most image-related
m...
In Vitro Fertilization is among the most widespread treatments for
infer...
In deep learning, transfer learning (TL) has become the de facto approac...
Studying misinformation and how to deal with unhealthy behaviours within...
AI explainability seeks to increase the transparency of models, making t...
Artificial Intelligence (AI) has recently raised to the point where it h...
Art is an expression of human creativity, skill and technology. An
excep...
Modern biology frequently relies on machine learning to provide predicti...
This paper aims at providing the summary of the Global Data Science Proj...
As COVID-19 transmissions spread worldwide, governments have announced a...
Worldwide, sewer networks are designed to transport wastewater to a
cent...
Finding tumour genetic markers is essential to biomedicine due to their
...
Currently, agent-based simulation frameworks force the user to choose be...
High-resolution and variable-shape images have not yet been properly
add...
The purpose of feature extraction on convolutional neural networks is to...
Graph pattern matching algorithms to handle million-scale dynamic graphs...
Measuring the distance between concepts is an important field of study o...
The current state-of-the-art for image annotation and image retrieval ta...
Patterns stored within pre-trained deep neural networks compose large an...
Transfer learning for feature extraction can be used to exploit deep
rep...
Deep neural networks are representation learning techniques. During trai...
Link prediction, the problem of identifying missing links among a set of...