XJ Huang

Interpretable and Calibrated Classification of Clinical Data Using Supervised Feature Binarization

Black-box models limit the adoption of artificial intelligence in medicine because their predictions are difficult to interpret and reproduce. We present a statistically grounded framework for interpretable, rule-based clinical classification using the Bernoulli Naïve Bayes (BNB)...

Quantum correlations of tripartite mixed states in the black hole quantum atmosphere

Abstract We investigate quantum state texture, genuine multipartite entanglement, and tripartite nonlocality of a tripartite mixed state in the black hole quantum atmosphere. By introducing the Hartle-Hawking local temperature into the Bogoliubov coefficients, we characterize the...

Geometric quantum discord in the black hole quantum atmosphere

Abstract We investigate the geometric quantum discord of bipartite Werner states influenced by Hawking radiation in the quantum atmosphere of a Schwarzschild black hole. We find that the geometric quantum discord in the physically accessible region exhibits non-monotonic behavior...