Demo Data from EDBT 2026 / reviewers in the wild / expert
Refik Anadol
dblp:166/1781
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2019
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, 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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational social science and digital humanities · 100% | |
| Artificial intelligence
1 paper |
Generative modeling · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational social science and digital humanities
digital history |
0.4 | 1 | 2019 | Latent History · ACM Multimedia 2019 |
Methods — techniques the papers use, named apart from their topics
machine learning · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Latent HistoryabstractLatent History is a time and space exploration into Stockholm's past and ultimately present, through the deployment of machine learning algorithms trained on datasets from both archival and contemporary photographs. Through the exploration of photographic memories from the past 150 years, this exhibition aims to investigate and re-imagine collective memory, hidden layers of history, and the consciousness of a city that otherwise might remain unseen. Refik Anadol |
ACM Multimedia | 1 |