Spearman’s rank correlation coefficient

By A. Culyer. British medical journal, 2014

217 citations recorded by the source corpus.

Subfields: Management Information Systems, Marketing, Organizational Behavior and Human Resource Management

View Paper: https://www.semanticscholar.org/paper/f8258728efed0b2820d1a8d9e6c14e0e1ff010c0

How researchers see this paper

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In Management Information Systems

1. Juyeon Heo
2. Sunghwan Joo
3. Taesup Moon

In Marketing

1. Juyeon Heo
2. Sunghwan Joo
3. Taesup Moon

In Organizational Behavior and Human Resource Management

1. Juyeon Heo
2. Sunghwan Joo
3. Taesup Moon

Citations in the corpus

• CommanderSong: A Systematic Approach for Practical Adversarial Voice Recognition (2018, methodology): “To characterize the difference, we leverage Spearman’s rank correlation coefficient [44] (Spearman’s rho for short) to represent the similarity between two pieces of audio.”
• Fooling Neural Network Interpretations via Adversarial Model Manipulation (2019, methodology): “For Active fooling, we first define s i ( c, c (cid:48) ) = r s ( h I c ( w ∗ fool ) , h I c ( w 0 )) as the Spearman rank correlation [33] between the two heatmaps for x i , generated with I .”