Demo Data from EDBT 2026 / reviewers in the wild / expert
D. A. Gillies
dblp:34/6454
· 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 |
Probabilistic and Bayesian machine learning · 50% Knowledge representation and reasoning · 50% | |
| Theoretical computer science
1 paper |
Information theory · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Knowledge representation and reasoning
expert systems |
0.0 | 1 | 1993 | Objective Probabilities in Expert Systems · Artif. Intell. 1993 |
Machine learning › Probabilistic and Bayesian machine learning
probability elicitation |
0.0 | 1 | 1993 | Objective Probabilities in Expert Systems · Artif. Intell. 1993 |
Methods — techniques the papers use, named apart from their topics
subjective probability · 0.0bayesian probability · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1993 | Objective Probabilities in Expert Systems
Luis Enrique Sucar, Duncan Fyfe Gillies, D. A. Gillies |
Artif. Intell. | 3 |