7 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Information-Theoretic Greedy Layer-wise Training for Traffic Sign Recognition
Shuyan Lyu, Zhanzimo Wu, Junliang Du
Modern deep neural networks (DNNs) are typically trained with a global cross-entropy loss in a supervised end-to-end manner: neurons need to store their outgoing weights; training…
eess.IV2024★ 1 cited
Deep Learning-Based Channel Squeeze U-Structure for Lung Nodule Detection and Segmentation
Mingxiu Sui, Jiacheng Hu, Tong Zhou +3
This paper introduces a novel deep-learning method for the automatic detection and segmentation of lung nodules, aimed at advancing the accuracy of early-stage lung cancer diagnosi…
stat.ME2018★ 7 cited
Interaction Detection with Bayesian Decision Tree Ensembles
Junliang Du, Antonio R. Linero
Methods based on Bayesian decision tree ensembles have proven valuable in constructing high-quality predictions, and are particularly attractive in certain settings because they en…