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ORCIDSaskia Metzler
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- affiliation: Max Planck Institute for Informatics, Saarbücken, Germany
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2020 – today
- 2020
[b1]Saskia Metzler:
Structural building blocks in graph data: characterised by hyperbolic communities and uncovered by Boolean tensor clustering. Saarland University, Saarbrücken, Germany, 2020
2010 – 2019
- 2019
- [j3]Saskia Metzler, Pauli Miettinen
:
HyGen: generating random graphs with hyperbolic communities. Appl. Netw. Sci. 4(1): 53:1-53:25 (2019) - [j2]Saskia Metzler, Stephan Günnemann, Pauli Miettinen:
Stability and dynamics of communities on online question-answer sites. Soc. Networks 58: 50-58 (2019) - 2018
- [c4]Saskia Metzler, Pauli Miettinen:
Random Graph Generators for Hyperbolic Community Structures. COMPLEX NETWORKS (1) 2018: 680-693 - 2016
- [c3]Saskia Metzler, Stephan Günnemann, Pauli Miettinen:
Hyperbolae are No Hyperbole: Modelling Communities That are Not Cliques. ICDM 2016: 330-339 - [i3]Saskia Metzler, Stephan Günnemann, Pauli Miettinen:
Hyperbolae Are No Hyperbole: Modelling Communities That Are Not Cliques. CoRR abs/1602.04650 (2016) - 2015
- [j1]Saskia Metzler, Pauli Miettinen:
Clustering Boolean tensors. Data Min. Knowl. Discov. 29(5): 1343-1373 (2015) - [c2]Saskia Metzler, Pauli Miettinen:
Join Size Estimation on Boolean Tensors of RDF Data. WWW (Companion Volume) 2015: 77-78 - [i2]Saskia Metzler, Pauli Miettinen:
Clustering Boolean Tensors. CoRR abs/1501.00696 (2015) - [i1]Saskia Metzler, Pauli Miettinen:
On Defining SPARQL with Boolean Tensor Algebra. CoRR abs/1503.00301 (2015) - 2011
- [c1]Saskia Metzler, Matthias Nieuwenhuisen, Sven Behnke:
Learning Visual Obstacle Detection Using Color Histogram Features. RoboCup 2011: 149-161
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