Demo Data from VLDB 2026 / reviewers in the wild / expert
Cullen Schaffer
dblp:69/884
· DBLP profile ↗
8ranked-venue papers
8as first author
0since 2021 · last 1994
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 8 · 8 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2 · 2 first-author
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
3 papers |
Learning theory · 31% Optimization for machine learning · 31% Image recognition and object detection · 23% | |
| Databases, data mining, and information retrieval
2 papers |
Data mining · 69% Machine learning and data management · 31% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational science and engineering · 100% | |
| Theoretical computer science
1 paper |
Mathematical optimization · 100% |
Topics — the 8 heaviest of 10, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Optimization for machine learning › gradient flow
conservation laws |
0.0 | 1 | 1994 | A Conservation Law for Generalization Performance · ICML 1994 |
Machine learning › Learning theory
generalization bounds |
0.0 | 1 | 1994 | A Conservation Law for Generalization Performance · ICML 1994 |
Computer vision › Image recognition and object detection › character recognition
digit recognition |
0.0 | 1 | 1992 | Deconstructing the Digit Recognition Problem · ML 1992 |
Data mining › predictive modeling
classification |
0.0 | 1 | 1992 | Sparse Data and the Effect of Overfitting Avoidance in Decision Tree Induction · AAAI 1992 |
Data mining › predictive modeling › classification
decision tree learning |
0.0 | 1 | 1992 | Sparse Data and the Effect of Overfitting Avoidance in Decision Tree Induction · AAAI 1992 |
Machine learning and data management
overfitting control |
0.0 | 1 | 1992 | Sparse Data and the Effect of Overfitting Avoidance in Decision Tree Induction · AAAI 1992 |
Mathematical optimization › statistical estimation › regression
symbolic regression |
0.0 | 1 | 1990 | A Proven Domain-Independent Scientific Function-Finding Algorithm · AAAI 1990 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
scientific discovery |
0.0 | 1 | 1989 | Bacon, Data Analysis and Artificial Intelligence · ML 1989 |
Methods — techniques the papers use, named apart from their topics
genetic programming · 0.0data analysis · 0.0pruning · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1994 | A Conservation Law for Generalization Performance
Cullen Schaffer |
ICML | 1 |
| 1993 | Overfitting Avoidance as Bias
Cullen Schaffer |
Mach. Learn. | 1 |
| 1993 | Bivariate Scientific Function Finding in a Sampled, Real-Data Testbed
Cullen Schaffer |
Mach. Learn. | 1 |
| 1993 | Selecting a Classification Method by Cross-Validation
Cullen Schaffer |
Mach. Learn. | 1 |
| 1992 | Sparse Data and the Effect of Overfitting Avoidance in Decision Tree Induction
Cullen Schaffer |
AAAI | 1 |
| 1992 | Deconstructing the Digit Recognition Problem
Cullen Schaffer |
ML | 1 |
| 1990 | A Proven Domain-Independent Scientific Function-Finding Algorithm
Cullen Schaffer |
AAAI | 1 |
| 1989 | Bacon, Data Analysis and Artificial Intelligence
Cullen Schaffer |
ML | 1 |