Demo Data from EDBT 2026 / reviewers in the wild / expert
Chris I. Baker
dblp:53/8274 · also Chris Ian Baker
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 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.
| Artificial intelligence
1 paper |
3D vision · 44% Trustworthy machine learning · 44% Video understanding and tracking · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Trustworthy machine learning
interpretability |
0.4 | 1 | 2019 | Revealing interpretable object representations from human behavior · ICLR (Poster) 2019 |
Computer vision › 3D vision
object representation |
0.4 | 1 | 2019 | Revealing interpretable object representations from human behavior · ICLR (Poster) 2019 |
Computer vision › Video understanding and tracking › video analytics › behavior analysis
human behavior analysis |
0.1 | 1 | 2019 | Revealing interpretable object representations from human behavior · ICLR (Poster) 2019 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Revealing interpretable object representations from human behavior
Charles Zheng 0001, Francisco Pereira 0001, Chris I. Baker, Martin N. Hebart |
ICLR (Poster) | 3 |