Demo Data from VLDB 2026 / reviewers in the wild / expert
Liubov Shilova
dblp:332/1110
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 67% Medical and health informatics · 33% | |
| Artificial intelligence
1 paper |
Probabilistic and Bayesian machine learning · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Probabilistic and Bayesian machine learning
causal inference |
0.8 | 1 | 2024 | Disease Risk Predictions with Differentiable Mendelian Randomization · RECOMB 2024 |
Medical and health informatics › clinical prediction
disease risk prediction |
0.8 | 1 | 2024 | Disease Risk Predictions with Differentiable Mendelian Randomization · RECOMB 2024 |
Bioinformatics and computational biology
genetic epidemiology |
0.8 | 1 | 2024 | Disease Risk Predictions with Differentiable Mendelian Randomization · RECOMB 2024 |
Bioinformatics and computational biology › statistical genetics › genetic study design
mendelian randomization |
0.8 | 1 | 2024 | Disease Risk Predictions with Differentiable Mendelian Randomization · RECOMB 2024 |
Methods — techniques the papers use, named apart from their topics
differentiable programming · 1.5causal inference · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Disease Risk Predictions with Differentiable Mendelian Randomization
Ludwig Gräf, Daniel Sens, Liubov Shilova, Francesco Paolo Casale |
RECOMB | 3 |