Demo Data from EDBT 2026 / reviewers in the wild / expert
Sarah Weber
dblp:92/8536
· DBLP profile ↗
2ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 1 since 2021Human-computer interaction and ubiquitous 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% |
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 › genomics
genotyping |
0.6 | 1 | 2022 | ImmunoTyper-SR: A Novel Computational Approach for Genotyping Immunoglobulin Heavy Chain Variable Genes Using Short Read Data · RECOMB 2022 |
Bioinformatics and computational biology
sequence analysis |
0.6 | 1 | 2022 | ImmunoTyper-SR: A Novel Computational Approach for Genotyping Immunoglobulin Heavy Chain Variable Genes Using Short Read Data · RECOMB 2022 |
Methods — techniques the papers use, named apart from their topics
computational genotyping · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | ImmunoTyper-SR: A Novel Computational Approach for Genotyping Immunoglobulin Heavy Chain Variable Genes Using Short Read Data
Michael K. B. Ford, Ananth Hari, Oscar Rodriguez, Junyan Xu, Justin Lack, Cihan Oguz, Sarah Weber, Mary Magliocco, Jason Barnett, Sandhya Xirasagar, Smilee Samuel, Luisa Imberti, Paolo Bonfanti, Andrea Biondi, Clifton L. Dalgard, Stephen J. Chanock, Lindsey Rosen, Steven Holland, Helen Su, Luigi Notarangelo, Uzi Vishkin, Corey Watson, Süleyman Cenk Sahinalp |
RECOMB | 8 |
| 2013 | Iterative Learning Cascade Control of Continuous Noninvasive Blood Pressure MeasurementabstractA noninvasive continuous blood pressure measurement technique that has been developed lately requires precise control of the blood flow through a superficial artery. The flow is measured using ultrasound and influenced via manipulating the pressure inside an inflatable air balloon which is placed over the artery. This contribution is concerned with the design and evaluation of a learning cascaded control structure for such measurement devices. Two feedback control loops are designed in discrete time via pole placement and then combined with an iterative learning control. The latter exploits the repetitive nature of the disturbance that is induced by the oscillating arterial pressure. Experimental results indicate that the proposed controller structure yields considerably smaller set point deviations than previous approaches. Thomas Seel, Thomas Schauer, Sarah Weber, Klaus Affeld |
SMC | 3 |