Demo Data from SIGIR 2026 / reviewers in the wild / expert
Haerin Jang
dblp:210/9524
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2017
—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% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
High-performance computing · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › bioimage informatics
cryo-EM image analysis |
0.3 | 1 | 2017 | EMHP: an accurate automated hole masking algorithm for single-particle cryo-EM image processing · Bioinform. 2017 |
High-performance computing
scientific computing systems |
0.1 | 1 | 2017 | EMHP: an accurate automated hole masking algorithm for single-particle cryo-EM image processing · Bioinform. 2017 |
Methods — techniques the papers use, named apart from their topics
image processing · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | EMHP: an accurate automated hole masking algorithm for single-particle cryo-EM image processingabstractSUMMARY: The Electron Microscopy Hole Punch (EMHP) is a streamlined suite of tools for quick assessment, sorting and hole masking of electron micrographs. With recent advances in single-particle electron cryo-microscopy (cryo-EM) data processing allowing for the rapid determination of protein structures using a smaller computational footprint, we saw the need for a fast and simple tool for data pre-processing that could run independent of existing high-performance computing (HPC) infrastructures. EMHP provides a data preprocessing platform in a small package that requires minimal python dependencies to function. AVAILABILITY AND IMPLEMENTATION: https://www.bitbucket.org/chazbot/emhp Apache 2.0 License. CONTACT: [email protected]. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Zachary Berndsen, Charles Bowman, Haerin Jang, Andrew B. Ward |
Bioinform. | 3 |