Demo Data from EDBT 2026 / reviewers in the wild / expert
N. Gautier
dblp:69/3525
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1990
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 56% Environmental and earth informatics · 44% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Environmental and earth informatics
biodiversity informatics |
0.0 | 1 | 1990 | Object-centered representation for species systematics and identification in living systems in nature · Comput. Appl. Biosci. 1990 |
Bioinformatics and computational biology
species identification |
0.0 | 1 | 1990 | Object-centered representation for species systematics and identification in living systems in nature · Comput. Appl. Biosci. 1990 |
Bioinformatics and computational biology
species classification |
0.0 | 1 | 1990 | Object-centered representation for species systematics and identification in living systems in nature · Comput. Appl. Biosci. 1990 |
Methods — techniques the papers use, named apart from their topics
object-centered representation · 0.0knowledge-based system · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1990 | Object-centered representation for species systematics and identification in living systems in natureabstractAn artificial intelligence application to identification in biological taxonomy is presented. An object-centered representation is described using SHIRKA, a knowledge-based system developed in France. The capacities of this system, relating to a classification algorithm, are described. An application to the identification of the trees and lianas of the evergreen forests of the Western Ghats (India) is presented to illustrate the problems encountered in the development of the knowledge base. A model of a systematist's reasoning, using evolutionary principles, is the basis of this work. Finally the efficiency of the system is discussed. N. Gautier, A. Pave |
Comput. Appl. Biosci. | 1 |