1 citations · 1 across the 3 of their papers we have counts for
3 papers
stat.ML2023
Learning Performance Maximizing Ensembles with Explainability Guarantees
Vincent Pisztora, Jia Li
In this paper we propose a method for the optimal allocation of observations between an intrinsically explainable glass box model and a black box model. An optimal allocation being…
stat.ML2021
Epsilon Consistent Mixup: Structural Regularization with an Adaptive Consistency-Interpolation Tradeoff
Vincent Pisztora, Yanglan Ou, Xiaolei Huang +2
In this paper we propose -Consistent Mixup (mu). mu is a data-based structural regularization technique that combines Mixup's linear interpolation with consistency regular…
cs.CV2020★ 1 cited
Semi-Supervised Cervical Dysplasia Classification With Learnable Graph Convolutional Network
Yanglan Ou, Yuan Xue, Ye Yuan +4
Cervical cancer is the second most prevalent cancer affecting women today. As the early detection of cervical carcinoma relies heavily upon screening and pre-clinical testing, digi…