VLDB 2026 Research / reviewers in the wild / expert
Jake Bukuts
dblp:330/5018
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021
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 |
Segmentation and scene understanding · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational social science and digital humanities · 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
archaeology |
0.6 | 1 | 2022 | Snowvision: Segmenting, Identifying, and Discovering Stamped Curve Patterns from Fragments of Pottery · Int. J. Comput. Vis. 2022 |
Methods — techniques the papers use, named apart from their topics
image segmentation · 1.1curve pattern matching · 1.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Snowvision: Segmenting, Identifying, and Discovering Stamped Curve Patterns from Fragments of Pottery
Sam T. McDorman, Canyu Zhang 0002, Deja Scott, Jake Bukuts, Colin Wilder, Karen Y. Smith, Song Wang 0002 |
Int. J. Comput. Vis. | 6 |