Demo Data from VLDB 2026 / reviewers in the wild / expert
Larry Watanabe
dblp:94/4176
· DBLP profile ↗
7ranked-venue papers
5as 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 · 6 · 5 first-authorGraphics, computer vision, multimedia, augmented reality and games · 3 · 3 first-authorHuman-computer interaction and ubiquitous computing · 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
3 papers |
Kernel, tree and ensemble methods · 62% Representation and self-supervised learning · 20% Learning theory · 18% | |
| Human-computer interaction and pervasive computing
1 paper |
Usability and user experience research · 100% | |
| Software engineering, system software, and programming languages
1 paper |
Empirical software engineering · 100% | |
| Databases, data mining, and information retrieval
1 paper |
Data mining · 100% | |
| Computer graphics and multimedia
1 paper |
Geometric modeling and processing · 100% |
Topics — the 6 heaviest of 8, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Kernel, tree and ensemble methods
decision tree |
0.0 | 2 | 1991 | Decision Tree Induction of 3-D Manufacturing Features · ML 1991 Feature Construction in Structural Decision Trees · ML 1991 |
Machine learning › Kernel, tree and ensemble methods
decision tree learning |
0.0 | 1 | 1991 | Decision Tree Induction of 3-D Manufacturing Features · ML 1991 |
Machine learning › Representation and self-supervised learning › feature transformation
feature construction |
0.0 | 1 | 1991 | Feature Construction in Structural Decision Trees · ML 1991 |
Machine learning › Learning theory
generalization |
0.0 | 1 | 1990 | Effective Generalization of Relational Descriptions · AAAI 1990 |
Data mining
feature engineering |
0.0 | 1 | 1991 | Feature Construction in Structural Decision Trees · ML 1991 |
Geometric modeling and processing › feature recognition
machining feature recognition |
0.0 | 1 | 1991 | Decision Tree Induction of 3-D Manufacturing Features · ML 1991 |
Methods — techniques the papers use, named apart from their topics
decision tree induction · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1994 | MacSHAPA and the enterprise of exploratory sequential data analysis (ESDA)
Penelope M. Sanderson, Jay Scott, Tom Johnston, John Mainzer, Larry Watanabe, Jeff James |
Int. J. Hum. Comput. Stud. | 5 |
| 1991 | Feature Construction in Structural Decision Trees
Larry Watanabe, Larry A. Rendell |
ML | 1 |
| 1991 | Decision Tree Induction of 3-D Manufacturing Features
Larry Watanabe, Sudhakar Yerramareddy |
ML | 1 |
| 1991 | Learning Structural Decision Trees from Examples
Larry Watanabe, Larry A. Rendell |
IJCAI | 1 |
| 1991 | An Incremental Deductive Strategy for Controlling Constructive Induction in Learning from Examples
Renée Elio, Larry Watanabe |
Mach. Learn. | 2 |
| 1990 | Effective Generalization of Relational Descriptions
Larry Watanabe, Larry A. Rendell |
AAAI | 1 |
| 1987 | Guiding Constructive Induction for Incremental Learning from Examples
Larry Watanabe, Renée Elio |
IJCAI | 1 |