3 papers
q-bio.GN2026
A New Framework for Explainable Rare Cell Identification in Single-Cell Transcriptomics Data
Di Su, Kai Ming Ting, Jie Zhang +2
The detection of rare cell types in single-cell transcriptomics data is crucial for elucidating disease pathogenesis and tissue development dynamics. However, a critical gap that p…
cs.LG2025
Distribution-Based Feature Attribution for Explaining the Predictions of Any Classifier
Xinpeng Li, Kai Ming Ting
The proliferation of complex, black-box AI models has intensified the need for techniques that can explain their decisions. Feature attribution methods have become a popular soluti…
cs.LG2024
An Online Automatic Modulation Classification Scheme Based on Isolation Distributional Kernel
Xinpeng Li, Zile Jiang, Kai Ming Ting +1
Automatic Modulation Classification (AMC), as a crucial technique in modern non-cooperative communication networks, plays a key role in various civil and military applications. How…