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Found 3 papers, 0 papers with code
Providing Actionable Feedback in Hiring Marketplaces using Generative Adversarial Networks
Machine learning predictors have been increasingly applied in production settings, including in one of the world's largest hiring platforms, Hired, to provide a better candidate and recruiter experience.
CounteRGAN: Generating Realistic Counterfactuals with Residual Generative Adversarial Nets
The prevalence of machine learning models in various industries has led to growing demands for model interpretability and for the ability to provide meaningful recourse to users.
An innovative solution for breast cancer textual big data analysis
With no need for biomedical annotators or pre-defined ontologies, this language-agnostic method reached an good extraction accuracy for several concepts of interest, according to a comparison with a manually structured file, without requiring any existing corpus with local or new notations.
