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Found 5 papers, 0 papers with code
Understand customer reviews with less data and in short time: pretrained language representation and active learning
In this paper, we address customer review understanding problems by using supervised machine learning approaches, in order to achieve a fully automatic review aspects categorisation and sentiment analysis.
Modelling customer online behaviours with neural networks: applications to conversion prediction and advertising retargeting
In this paper, we apply neural networks into digital marketing world for the purpose of better targeting the potential customers.
Combining multiple resolutions into hierarchical representations for kernel-based image classification
Such a representation allows one to benefit from the context information thanks to the coarser levels, and subregions spatial arrangement information thanks to the finer levels.
Combining multiscale features for classification of hyperspectral images: a sequence based kernel approach
Nowadays, hyperspectral image classification widely copes with spatial information to improve accuracy.
Classification Of Hyperspectral Images
General Classification
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A Subpath Kernel for Learning Hierarchical Image Representations
This is particularly true in remote sensing, where such representations allow for revealing different objects of interest at various scales through a tree structure.
