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ORCIDIsabel Drost-Fromm
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2020 – today
- 2021
[j2]Isabel Drost-Fromm, Rob Tompkins
:
Open Source Community Governance the Apache Way. Computer 54(4): 70-75 (2021)- 2020
- [j1]Robin Anil, Gökhan Çapan, Isabel Drost-Fromm, Ted Dunning, Ellen Friedman, Trevor Grant, Shannon Quinn, Paritosh Ranjan, Sebastian Schelter, Özgür Yilmazel:
Apache Mahout: Machine Learning on Distributed Dataflow Systems. J. Mach. Learn. Res. 21: 127:1-127:6 (2020)
2010 – 2019
- 2010
- [i1]Nikos I. Karacapilidis, Stefan Rüping, Isabel Drost:
Mastering Data-Intensive Collaboration and Decision Making through a Cloud Infrastructure. ERCIM News 2010(83): 49 (2010)
2000 – 2009
- 2005
- [c3]Isabel Drost, Tobias Scheffer:
Thwarting the Nigritude Ultramarine: Learning to Identify Link Spam. ECML 2005: 96-107 - [c2]Isabel Drost, Steffen Bickel, Tobias Scheffer:
Discovering Communities in Linked Data by Multi-view Clustering. GfKl 2005: 342-349 - 2004
- [c1]Isabel Drost, Tobias Scheffer:
Efficiency and Stability of Clustering Algorithms for Linked Data. LWA 2004: 146 - [e1]Andreas Abecker, Steffen Bickel, Ulf Brefeld, Isabel Drost, Nicola Henze, Olaf Herden, Mirjam Minor, Tobias Scheffer, Ljiljana Stojanovic, Stephan Weibelzahl:
LWA 2004: Lernen - Wissensentdeckung - Adaptivität, Berlin, 4. - 6. Oktober 2004, Workshopwoche der GI-Fachgruppen/Arbeitskreise (1) Fachgruppe Adaptivität und Benutzermodellierung in Interaktiven Softwaresystemen (ABIS 2004), (2) Arbeitskreis Knowledge Discovery (AKKD 2004), (3) Fachgruppe Maschinelles Lernen (FGML 2004), (4) Fachgruppe Wissens- und Erfahrungsmanagement (FGWM 2004). Humbold-Universität Berlin 2004 [contents]
Coauthor Index
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