Classification Confusion within Nefclass Caused by Feature Value Skewness in Multi-dimensional Datasets
Author:
Affiliation:
1. University of Guelph, Canada
2. University of Guelph and Mount Allison University, Canada
Publisher
SCITEPRESS - Science and Technology Publications
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Comparative Analysis of Machine Learning Techniques for Imbalanced Genetic Data;Annals of Data Science;2024-08-13
2. A modified NEFCLASS classifier with enhanced accuracy-interpretability trade-off for datasets with skewed feature values;Fuzzy Sets and Systems;2021-06
3. Devising Asymmetric Linguistic Hedges to Enhance the Accuracy of NEFCLASS for Datasets with Highly Skewed Feature Values;Proceedings of the 12th International Joint Conference on Computational Intelligence;2020
4. A Synergistic Approach to Enhance the Accuracy-interpretability Trade-off of the NECLASS Classifier for Skewed Data Distribution;Proceedings of the 11th International Joint Conference on Computational Intelligence;2019
5. Input Value Skewness and Class Label Confusion in the NEFCLASS Neuro-Fuzzy System;Studies in Computational Intelligence;2018-10-04
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