Demo Data from EDBT 2026 / reviewers in the wild / expert
James Ferris
dblp:266/2899
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2020
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 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.
| Theoretical computer science
1 paper |
Algorithmic game theory and mechanism design · 67% Graph algorithms and graph theory · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Algorithmic game theory and mechanism design
matching |
0.4 | 1 | 2020 | MatchU: An Interactive Matching Platform · AAAI 2020 |
Graph algorithms and graph theory › graph matching
matching algorithms |
0.4 | 1 | 2020 | MatchU: An Interactive Matching Platform · AAAI 2020 |
Algorithmic game theory and mechanism design
resource allocation |
0.4 | 1 | 2020 | MatchU: An Interactive Matching Platform · AAAI 2020 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | MatchU: An Interactive Matching PlatformabstractMatchU is a web-based platform that offers an interactive framework to find how to form mutually-beneficial relationships, decide how to distribute resources, or resolve conflicts through a suite of matching algorithms rooted in economics and artificial intelligence. In this paper, we discuss MatchU's vision, solutions, and future directions. James Ferris, Hadi Hosseini |
AAAI | 1 |