Demo Data from EDBT 2026 / reviewers in the wild / expert
Stephan Bernard
dblp:87/5770
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2Graphics, computer vision, multimedia, augmented reality and games · 2
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
2 papers |
Probabilistic and Bayesian machine learning · 44% Knowledge representation and reasoning · 33% Kernel, tree and ensemble methods · 13% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Probabilistic and Bayesian machine learning
class probability estimation |
0.1 | 1 | 2007 | Keep the Decision Tree and Estimate the Class Probabilities Using its Decision Boundary · IJCAI 2007 |
Machine learning › Kernel, tree and ensemble methods
decision tree |
0.0 | 1 | 2007 | Keep the Decision Tree and Estimate the Class Probabilities Using its Decision Boundary · IJCAI 2007 |
Machine learning › Trustworthy machine learning
interpretability |
0.0 | 1 | 2005 | Ranking Cases with Decision Trees: a Geometric Method that Preserves Intelligibility · IJCAI 2005 |
Methods — techniques the papers use, named apart from their topics
decision tree · 0.1decision boundary · 0.1geometric method · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | Keep the Decision Tree and Estimate the Class Probabilities Using its Decision Boundary
Isabelle Alvarez, Stephan Bernard, Guillaume Deffuant |
IJCAI | 2 |
| 2005 | Ranking Cases with Decision Trees: a Geometric Method that Preserves Intelligibility
Isabelle Alvarez, Stephan Bernard |
IJCAI | 2 |