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LCS-DIVE: An Automated Rule-based Machine Learning Visualization
  Pipeline for Characterizing Complex Associations in Classification

LCS-DIVE: An Automated Rule-based Machine Learning Visualization Pipeline for Characterizing Complex Associations in Classification

26 April 2021
Robert F. Zhang
Rachael Stolzenberg-Solomon
Shannon M. Lynch
Ryan J. Urbanowicz
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Papers citing "LCS-DIVE: An Automated Rule-based Machine Learning Visualization Pipeline for Characterizing Complex Associations in Classification"

2 / 2 papers shown
Title
Fuzzy-UCS Revisited: Self-Adaptation of Rule Representations in Michigan-Style Learning Fuzzy-Classifier Systems
Fuzzy-UCS Revisited: Self-Adaptation of Rule Representations in Michigan-Style Learning Fuzzy-Classifier Systems
Hiroki Shiraishi
Yohei Hayamizu
Tomonori Hashiyama
32
4
0
09 May 2025
Genetic heterogeneity analysis using genetic algorithm and network
  science
Genetic heterogeneity analysis using genetic algorithm and network science
Zhendong Sha
Y. Chen
Ting Hu
16
1
0
12 Aug 2023
1