VLDB 2026 Research / reviewers in the wild / expert
Michael Krützen
dblp:231/1209
· DBLP profile ↗
2ranked-venue papers
0as first author
1since 2021 · last 2026
0000-0003-1055-5299ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Applied, 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
2 papers |
Bioinformatics and computational biology · 100% | |
| Artificial intelligence
1 paper |
3D vision · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › 3D vision
shape and motion recovery |
1.0 | 1 | 2026 | Model-based Metric 3D Shape and Motion Reconstruction of Wild Bottlenose Dolphins in Drone-Shot Videos · Int. J. Comput. Vis. 2026 |
Bioinformatics and computational biology › genomics
genotyping |
0.3 | 1 | 2018 | SONiCS: PCR stutter noise correction in genome-scale microsatellites · Bioinform. 2018 |
Bioinformatics and computational biology
microsatellite genotyping |
0.3 | 1 | 2018 | SONiCS: PCR stutter noise correction in genome-scale microsatellites · Bioinform. 2018 |
Bioinformatics and computational biology › sequence analysis
sequencing error correction |
0.3 | 1 | 2018 | SONiCS: PCR stutter noise correction in genome-scale microsatellites · Bioinform. 2018 |
Bioinformatics and computational biology › behavioral analysis
animal behavior analysis |
0.3 | 1 | 2026 | Model-based Metric 3D Shape and Motion Reconstruction of Wild Bottlenose Dolphins in Drone-Shot Videos · Int. J. Comput. Vis. 2026 |
Methods — techniques the papers use, named apart from their topics
model-based reconstruction · 2.0drone video analysis · 2.0monte carlo simulation · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Model-based Metric 3D Shape and Motion Reconstruction of Wild Bottlenose Dolphins in Drone-Shot Videos
Daniele Baieri, Riccardo Cicciarella, Michael Krützen, Emanuele Rodolà, Silvia Zuffi |
Int. J. Comput. Vis. | 3 |
| 2018 | SONiCS: PCR stutter noise correction in genome-scale microsatellitesabstractMotivation: Massively parallel capture of short tandem repeats (STRs, or microsatellites) provides a strategy for population genomic and demographic analyses at high resolution with or without a reference genome. However, the high Polymerase Chain Reaction (PCR) cycle numbers needed for target capture experiments create genotyping noise through polymerase slippage known as PCR stutter. Results: We developed SONiCS-Stutter mONte Carlo Simulation-a solution for stutter correction based on dense forward simulations of PCR and capture experimental conditions. To test SONiCS, we genotyped a 2499-marker STR panel in 22 humpback dolphins (Sousa sahulensis) using target capture, and generated capillary-based genotypes to validate five of these markers. In these 110 comparisons, SONiCS showed a 99.1% accuracy rate and a 98.2% genotyping success rate, miscalling a single allele in a marker with low sequence coverage and rejecting another as un-callable. Availability and implementation: Source code and documentation for SONiCS is freely available at https://github.com/kzkedzierska/sonics. Raw read data used in experimental validation of SONiCS have been deposited in the Sequence Read Archive under accession number SRP135756. Supplementary information: Supplementary data are available at Bioinformatics online. Katarzyna Z. Kedzierska, Livia Gerber, Daniele Cagnazzi, Michael Krützen, Aakrosh Ratan, Logan Kistler |
Bioinform. | 4 |