We present a method based on natural language processing (NLP), for stud...
We propose an interpretable model to score the bias present in web docum...
A comparison-based search algorithm lets a user find a target item t in ...
Hierarchical clustering of networks consists in finding a tree of
commun...
Most approaches in few-shot learning rely on costly annotated data relat...
We propose a statistical model to understand people's perception of thei...
Learning the causal-interaction network of multivariate Hawkes processes...
We propose subspace networks for the problem of few-shot classification,...
We consider the problem of searching in a set of items by using pairwise...
We present a probabilistic model of pairwise-comparison outcomes that ca...
Protein-protein interaction (PPI) network alignment is a canonical opera...
Graph matching in two correlated random graphs refers to the task of
ide...
The Internet has enabled the emergence of massive online collaborative
p...
Understanding how users navigate in a network is of high interest in man...
We address the problem of learning a ranking by using adaptively chosen
...