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ORCIDMartijn Gösgens
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2020 – today
- 2023
[j1]Martijn Gösgens
, Remco van der Hofstad, Nelly Litvak:
The Hyperspherical Geometry of Community Detection: Modularity as a Distance. J. Mach. Learn. Res. 24: 112:1-112:36 (2023)- [c3]Martijn Gösgens, Remco van der Hofstad, Nelly Litvak:
Correcting for Granularity Bias in Modularity-Based Community Detection Methods. WAW 2023: 1-18 - [i4]Martijn Gösgens, Remco van der Hofstad, Nelly Litvak:
The Projection Method: a Unified Formalism for Community Detection. CoRR abs/2312.14568 (2023) - 2022
- [i3]Martijn Gösgens, Anton Zhiyanov, Alexey Tikhonov, Liudmila Prokhorenkova:
Good Classification Measures and How to Find Them. CoRR abs/2201.09044 (2022) - 2021
- [c2]Martijn Gösgens, Alexey Tikhonov, Liudmila Prokhorenkova:
Systematic Analysis of Cluster Similarity Indices: How to Validate Validation Measures. ICML 2021: 3799-3808 - [c1]Martijn Gösgens, Anton Zhiyanov, Aleksey Tikhonov, Liudmila Prokhorenkova:
Good Classification Measures and How to Find Them. NeurIPS 2021: 17136-17147 - [i2]Martijn Gösgens, Remco van der Hofstad, Nelly Litvak:
The Hyperspherical Geometry of Community Detection: Modularity as a Distance. CoRR abs/2107.02645 (2021)
2010 – 2019
- 2019
- [i1]Martijn Gösgens, Liudmila Prokhorenkova, Alexey Tikhonov:
Systematic Analysis of Cluster Similarity Indices: Towards Bias-free Cluster Validation. CoRR abs/1911.04773 (2019)
Coauthor Index
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