Demo Data from EDBT 2026 / reviewers in the wild / expert
George Luger
dblp:146/9501
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 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 |
Computing education · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computing education
AI education |
0.2 | 1 | 2016 | A Survey of Current Practice and Teaching of AI · AAAI 2016 |
Computing education
computing education research |
0.1 | 1 | 2016 | A Survey of Current Practice and Teaching of AI · AAAI 2016 |
Methods — techniques the papers use, named apart from their topics
survey methodology · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | A Survey of Current Practice and Teaching of AIabstractThe field of AI has changed significantly in the past couple of years and will likely continue to do so. Driven by a desire to expose our students to relevant and modern materials, we conducted two surveys, one of AI instructors and one of AI practitioners. The surveys were aimed at gathering infor-mation about the current state of the art of introducing AI as well as gathering input from practitioners in the field on techniques used in practice. In this paper, we present and briefly discuss the responses to those two surveys. Michael Wollowski, Robert Selkowitz, Laura E. Brown, Ashok K. Goel 0001, George Luger, Jim Marshall, Andrew Neel, Todd W. Neller, Peter Norvig |
AAAI | 5 |