In this paper, we revisit pattern mining and study the distribution
unde...
In this paper we are interested in studying concise representations of
c...
Unintended biases in machine learning (ML) models are among the major
co...
Cosmic shear estimation is an essential scientific goal for large galaxy...
Bayesian Neural Networks (BNN) have recently emerged in the Deep Learnin...
Pattern mining is well established in data mining research, especially f...
Knowledge graphs are concurrently published and edited in the Web of dat...
Algorithmic decisions are now being used on a daily basis, and based on
...
In this paper, we are revisiting pattern mining and especially itemset
m...
Features mined from knowledge graphs are widely used within multiple
kno...
Artificial Intelligence and Machine Learning are becoming increasingly
p...
In the expanding Semantic Web, an increasing number of sources of data a...
The exponential explosion of the set of patterns is one of the main
chal...
In pattern mining, the main challenge is the exponential explosion of th...
Nowadays data sets are available in very complex and heterogeneous ways....
In this paper, we investigate the problem of mining numerical data in th...
Biclustering numerical data became a popular data-mining task in the
beg...