Demo Data from VLDB 2026 / reviewers in the wild / expert
Richard B. Segal
dblp:76/9055
· DBLP profile ↗
7ranked-venue papers
2as first author
1since 2021 · last 2023
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 4 · 1 since 2021Artificial intelligence and machine learning · 3 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 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.
| Databases, data mining, and information retrieval
1 paper |
Machine learning and data management · 100% | |
| Artificial intelligence
1 paper |
Knowledge representation and reasoning · 50% Learning theory · 50% | |
| Software engineering, system software, and programming languages
1 paper |
Software maintenance and evolution · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning and data management › continual learning
incremental learning |
0.0 | 1 | 2000 | Incremental Learning in SwiftFile · ICML 2000 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
concept learning |
0.0 | 1 | 1994 | Learning Decision Lists Using Homogeneous Rules · AAAI 1994 |
Machine learning › Learning theory › computational learning theory › boolean function learning
decision list learning |
0.0 | 1 | 1994 | Learning Decision Lists Using Homogeneous Rules · AAAI 1994 |
Software maintenance and evolution
software ecosystems |
0.0 | 1 | 2000 | Incremental Learning in SwiftFile · ICML 2000 |
Methods — techniques the papers use, named apart from their topics
homogeneous rules · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Monte Carlo Tree Search for Recipe Generation using GPT-2
Karan Taneja, Richard B. Segal, Richard Goodwin |
ICCC | 2 |
| 2019 | Two Fragrances Designed for Brazilian Millennials
David Apel, Sophie Bensamou, Veronique Ferval, Richard Goodwin, Christian Harris, Robin Lougee, Joana Maria, Richard B. Segal, Tenzin Yeshi |
ICCC | 10 |
| 2019 | Computational-Creativity Enabled One Pan Seasonings for Retail Sale
Richard Goodwin, Christian Harris, Kimberly Lang, Robin Lougee, C. J. McLane, Joana Maria, Richard B. Segal, Tenzin Yeshi |
ICCC | 9 |
| 2010 | Bayesian Inference in Monte-Carlo Tree Search
Gerald Tesauro, V. T. Rajan, Richard B. Segal |
UAI | 3 |
| 2000 | Designing An electronic patient record with multiple real time decision support modules for managing diseases
Douglas K. Benn, Stephen Kostewicz, Douglas D. Dankel II, Richard B. Segal, Sigfried O. Schmidt, Zulma Chardon |
AMIA | 4 |
| 2000 | Incremental Learning in SwiftFile
Richard B. Segal, Jeffrey O. Kephart |
ICML | 1 |
| 1994 | Learning Decision Lists Using Homogeneous Rules
Richard B. Segal, Oren Etzioni |
AAAI | 1 |