activity
20162019
most citedModelling customer online behaviours with neural networks: applications to conversion prediction and advertising retargeting

15 citations · 20 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2019★ 1 cited

Understand customer reviews with less data and in short time: pretrained language representation and active learning

Yanwei Cui, Xavier Illy

In this paper, we address customer review understanding problems by using supervised machine learning approaches, in order to achieve a fully automatic review aspects categorisatio…

cs.LG2018★ 15 cited

Modelling customer online behaviours with neural networks: applications to conversion prediction and advertising retargeting

Yanwei Cui, Rogatien Tobossi, Olivia Vigouroux

In this paper, we apply neural networks into digital marketing world for the purpose of better targeting the potential customers. To do so, we model the customer online behaviours…

cs.CV2016

Combining multiple resolutions into hierarchical representations for kernel-based image classification

Yanwei Cui, Sébastien Lefevre, Laetitia Chapel +1

Geographic object-based image analysis (GEOBIA) framework has gained increasing interest recently. Following this popular paradigm, we propose a novel multiscale classification app…

cs.CV2016★ 1 cited

Combining multiscale features for classification of hyperspectral images: a sequence based kernel approach

Yanwei Cui, Laetitia Chapel, Sébastien Lefèvre

Nowadays, hyperspectral image classification widely copes with spatial information to improve accuracy. One of the most popular way to integrate such information is to extract hier…

cs.CV2016★ 3 cited

A Subpath Kernel for Learning Hierarchical Image Representations

Yanwei Cui, Laetitia Chapel, Sébastien Lefèvre

Tree kernels have demonstrated their ability to deal with hierarchical data, as the intrinsic tree structure often plays a discriminative role. While such kernels have been success…