Peng Xiao

Interpretable Software Defect Prediction Incorporating Multiple Rules

2023

Software defect prediction models are of great importance in software testing, however, they also face the problem of model uninterpretability. Association rules have good accuracy and interpretability, being widely used in interpretable rule mining scenarios, …

Bayesian Federated Neural Matching That Completes Full Information

2023 · Proceedings of the AAAI Conference on Artificial Intelligence

Federated learning is a contemporary machine learning paradigm where locally trained models are distilled into a global model. Due to the intrinsic permutation invariance of neural networks, Probabilistic Federated Neural Matching (PFNM) employs a Bayesian …

CrossLinkNet: An Explainable and Trustworthy AI Framework for Whole-Slide Images Segmentation

2024 · Computers, materials & continua/Computers, materials & continua (Print)

In the intelligent medical diagnosis area, Artificial Intelligence (AI)’s trustworthiness, reliability, and interpretability are critical, especially in cancer diagnosis. Traditional neural networks, while excellent at processing natural images, often lack interpretability and adaptability when processing …