Demo Data from SIGIR 2026 / reviewers in the wild / expert
Alex J. Noble
dblp:217/3689
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 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 |
Bioinformatics and computational biology · 100% | |
| Artificial intelligence
1 paper |
Image recognition and object detection · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › structural biology
cryo-electron microscopy |
0.3 | 1 | 2018 | Positive-Unlabeled Convolutional Neural Networks for Particle Picking in Cryo-electron Micrographs · RECOMB 2018 |
Bioinformatics and computational biology › bioimage informatics › single-particle analysis
particle picking |
0.3 | 1 | 2018 | Positive-Unlabeled Convolutional Neural Networks for Particle Picking in Cryo-electron Micrographs · RECOMB 2018 |
Bioinformatics and computational biology
structural biology |
0.3 | 1 | 2018 | Positive-Unlabeled Convolutional Neural Networks for Particle Picking in Cryo-electron Micrographs · RECOMB 2018 |
Methods — techniques the papers use, named apart from their topics
positive-unlabeled learning · 0.7convolutional neural network · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Positive-Unlabeled Convolutional Neural Networks for Particle Picking in Cryo-electron Micrographs
Tristan Bepler, Andrew Morin, Alex J. Noble, Julia Brasch, Lawrence Shapiro, Bonnie Berger |
RECOMB | 3 |