54 citations · 160 across the 23 of their papers we have counts for
4 papers · 1 filter
Structural-Entropy-Based Sample Selection for Efficient and Effective Learning
Tianchi Xie, Jiangning Zhu, Guozu Ma +4
Sample selection improves the efficiency and effectiveness of machine learning models by providing informative and representative samples. Typically, samples can be modeled as a sa…
RuleExplorer: A Scalable Matrix Visualization for Understanding Tree Ensemble Classifiers
Zhen Li, Weikai Yang, Jun Yuan +6
The high performance of tree ensemble classifiers benefits from a large set of rules, which, in turn, makes the models hard to understand. To improve interpretability, existing met…
Dynamic Color Assignment for Hierarchical Data
Jiashu Chen, Weikai Yang, Zelin Jia +2
Assigning discriminable and harmonic colors to samples according to their class labels and spatial distribution can generate attractive visualizations and facilitate data explorati…
Fast Wrong-way Cycling Detection in CCTV Videos: Sparse Sampling is All You Need
Jing Xu, Wentao Shi, Sheng Ren +4
Effective monitoring of unusual transportation behaviors, such as wrong-way cycling (i.e., riding a bicycle or e-bike against designated traffic flow), is crucial for optimizing la…