1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Machine Learning for Two-Sample Testing under Right-Censored Data: A Simulation Study
Petr Philonenko, Sergey Postovalov
The focus of this study is to evaluate the effectiveness of Machine Learning (ML) methods for two-sample testing with right-censored observations. To achieve this, we develop sever…
cs.LG2023★ 1 cited
Can-SAVE: Deploying Low-Cost and Population-Scale Cancer Screening via Survival Analysis Variables and EHR
Petr Philonenko, Vladimir Kokh, Pavel Blinov
Conventional medical cancer screening methods are costly, labor-intensive, and extremely difficult to scale. Although AI can improve cancer detection, most systems rely on complex…