Towards Modeling Uncertainties of Self-explaining Neural Networks via Conformal Prediction

no code implementations • 3 Jan 2024 • Wei Qian, Chenxu Zhao, Yangyi Li, Fenglong Ma, Chao Zhang, Mengdi Huai

To tackle the aforementioned challenges, in this paper, we design a novel uncertainty modeling framework for self-explaining networks, which not only demonstrates strong distribution-free uncertainty modeling performance for the generated explanations in the interpretation layer but also excels in producing efficient and effective prediction sets for the final predictions based on the informative high-level basis explanations.

Conformal Prediction Uncertainty Quantification

m6 A-related lncRNAs are potential biomarkers for predicting prognoses and immune responses in patients with LUAD

no code implementations • molecular therapy nucleic acids 2021 • Feng Xu, Xiaoling Huang, Yangyi Li, Yongsong Chen, and Ling Lin

This risk model based on the m6 A-based lncRNAs may be promising for the clinical prediction of prognoses and immunotherapeutic responses in LUAD patients.