Sep 2, 2020 · We developed an easy-to-use-and-interpret non-parametric two-sample hypothesis testing framework (ts-AUC) particularly using machine learning ...

Sep 2, 2020 · We developed an easy-to-use-and-interpret non- parametric two-sample hypothesis testing framework (ts-AUC) particularly using machine learning ...

Sep 2, 2020 · The study's objective is to propose an easy-to-use-and-interpret two-sample hypothesis testing framework, orienting to clinical research. We ...

Sep 2, 2020 · We developed an easy-to-use-and-interpret non- parametric two-sample hypothesis testing framework (ts-AUC) particularly using machine learning ...

This work has developed an easy-to-use-and-interpret non-parametric two-sample hypothesis testing framework (ts-AUC) particularly using machine learning and ...

Multivariate two-sample hypothesis testing through AUC maximization for biomedical applications. by Pierre-Paul Vidal. 2020, 11th Hellenic Conference on ...

Multivariate two-sample hypothesis testing through AUC maximization for biomedical applications -. Supplementary Material. Ioannis Bargiotas∗. Argyris ...

In this paper, we propose new approaches for combining multiple biomarkers linearly to maximize the partial area under the receiver operating characteristic ...

Mathematics. Multivariate two-sample hypothesis testing through AUC maximization for biomedical applications. Published on 2 September 2020 - SETN 2020: ...

Multivariate two-sample hypothesis testing through AUC maximization for biomedical applications ; Ioannis Bargiotas · Ecole Normale Supérieure Paris-Saclay.