Demo Data from VLDB 2026 / reviewers in the wild / expert
J. H. May
dblp:15/5151
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1991
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging 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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › microbiology
microbial identification |
0.0 | 1 | 1991 | Investigation of an expert systems approach to bacterial identification · Comput. Appl. Biosci. 1991 |
Methods — techniques the papers use, named apart from their topics
expert system · 0.0bayes theorem · 0.0LISP · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1991 | Investigation of an expert systems approach to bacterial identificationabstractAn investigation was carried out to assess the feasibility of using an expert systems approach to assist in the identification of unknown isolates of bacteria. A system was developed using Lisp which utilized the knowledge stored in standard bacteriological texts. A comparison of the expert systems approach and the probabilistic approach based on Bayes Theorem was made together with the advantages and disadvantages of each approach. R. J. Brammer, T. N. Bryant, J. H. May |
Comput. Appl. Biosci. | 3 |