Letter-Value Plots: Boxplots for Large Data

By Heike Hofmann, Hadley Wickham, K. Kafadar. 2017

275 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

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. Yu Zhang
2. Ye Jia
3. Heiga Zen
4. Yonghui Wu
5. James R. Glass
6. Xu Tan
7. Ron J. Weiss
8. Tao Qin

In Statistics and Probability

1. Heiga Zen
2. Sharon Goldwater
3. Yu Zhang
4. Emmanuel Dupoux
5. Naomi H Feldman
6. Thomas Schatz

Citations in the corpus

• LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech (2019, background): “[47] of subjective naturalness ratings for female (above) and male (below) readers.”
• Early phonetic learning without phonetic categories: Insights from large-scale simulations on realistic input (2021, background): “(B) Letter-value representation (94) of the distribution of native advantages across all tested phonetic contrasts (pooled over both languages).”