An improved method to construct basic probability assignment based on the confusion matrix for classification problem

By Xinyang Deng, Qi Liu, Yong Deng, Sankaran Mahadevan. Information Sciences, 2016

559 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/dd012a7a973d65080507f6d126cd5791f6eacab9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. V. Varadharajan
2. Jafar Tanha
3. Suhuai Luo
4. Min Xu
5. Mohammad Asadpour
6. Ibrahim A. Hameed
7. Kamran Shaukat
8. Yousef Abdi

In Computational Theory and Mathematics

1. V. Varadharajan

Citations in the corpus

• A Survey on Machine Learning Techniques for Cyber Security in the Last Decade (2020, background): “A confusion matrix, also termed as an error matrix, is a table that describes the performance of a prediction or classification model [187].”
• Boosting methods for multi-class imbalanced data classification: an experimental review (2020, background): “A confusion matrix is a two-dimensional matrix that presents a clear explanation of how a classifier works in predicting new samples [71].”