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Refik Anadol

dblp:166/1781 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Computational social science and digital humanities
digital history
0.412019
Latent History · ACM Multimedia 2019

Methods — techniques the papers use, named apart from their topics

machine learning · 0.8
YearPublicationVenuePosition
2019 Latent History
abstract
Latent 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 Multimedia1