Demo Data from SIGIR 2026 / reviewers in the wild / expert
Chong Gu
dblp:56/4357
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1993
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Learning theory · 67% Probabilistic and Bayesian machine learning · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Learning theory
model selection |
0.0 | 1 | 1993 | Structured Machine Learning for Soft Classification with Smoothing Spline ANOVA and Stacked Tuning, Testing, and Evaluation · NIPS 1993 |
Machine learning › Learning theory › nonparametric regression
smoothing spline ANOVA |
0.0 | 1 | 1993 | Structured Machine Learning for Soft Classification with Smoothing Spline ANOVA and Stacked Tuning, Testing, and Evaluation · NIPS 1993 |
Machine learning › Probabilistic and Bayesian machine learning
structured prediction |
0.0 | 1 | 1993 | Structured Machine Learning for Soft Classification with Smoothing Spline ANOVA and Stacked Tuning, Testing, and Evaluation · NIPS 1993 |
Methods — techniques the papers use, named apart from their topics
stacked tuning · 0.0smoothing splines · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1993 | Structured Machine Learning for Soft Classification with Smoothing Spline ANOVA and Stacked Tuning, Testing, and Evaluation
Grace Wahba, Yuedong Wang, Chong Gu, Ronald Klein, Barbara E. Klein |
NIPS | 3 |