Demo Data from EDBT 2026 / reviewers in the wild / expert
Eyal Fisher
dblp:198/5010
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · unresolved
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% | |
| Theoretical computer science
1 paper |
Mathematical optimization · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › statistical genetics
heritability estimation |
0.3 | 1 | 2017 | Using Stochastic Approximation Techniques to Efficiently Construct Confidence Intervals for Heritability · RECOMB 2017 |
Bioinformatics and computational biology › biostatistics › statistical bioinformatics
statistical genomics |
0.3 | 1 | 2017 | Using Stochastic Approximation Techniques to Efficiently Construct Confidence Intervals for Heritability · RECOMB 2017 |
Mathematical optimization › stochastic optimization
stochastic approximation |
0.3 | 1 | 2017 | Using Stochastic Approximation Techniques to Efficiently Construct Confidence Intervals for Heritability · RECOMB 2017 |
Methods — techniques the papers use, named apart from their topics
stochastic approximation · 0.6bootstrap · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Using Stochastic Approximation Techniques to Efficiently Construct Confidence Intervals for Heritability
Regev Schweiger, Eyal Fisher, Elior Rahmani, Liat Shenhav, Saharon Rosset, Eran Halperin |
RECOMB | 2 |