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2010 – 2019
- 2017
[i2]Berrie van der Molen, Lars Buitinck, Toine Pieters:
The leveled approach. Using and evaluating text mining tools AVResearcherXL and Texcavator for historical research on public perceptions of drugs. CoRR abs/1701.00487 (2017)- 2015
- [j2]Gaël Varoquaux, Lars Buitinck, Gilles Louppe, Olivier Grisel, Fabian Pedregosa, Andreas Mueller:
Scikit-learn: Machine Learning Without Learning the Machinery. GetMobile Mob. Comput. Commun. 19(1): 29-33 (2015) - [c4]Lars Buitinck, Jesse van Amerongen, Ed Tan, Maarten de Rijke
:
Multi-emotion Detection in User-Generated Reviews. ECIR 2015: 43-48 - 2014
- [j1]Hinke Piersma, Ismee Tames, Lars Buitinck, Johan van Doornik, Maarten Marx:
War in Parliament: What a Digital Approach Can Add to the Study of Parliamentary History. Digit. Humanit. Q. 8(1) (2014) - [c3]David Graus, Manos Tsagkias, Lars Buitinck, Maarten de Rijke:
Generating Pseudo-ground Truth for Predicting New Concepts in Social Streams. ECIR 2014: 286-298 - 2013
- [c2]Victor de Boer, Johan van Doornik, Lars Buitinck, Maarten Marx, Tim Veken, Kees Ribbens:
Linking the kingdom: enriched access to a historiographical text. K-CAP 2013: 17-24 - [i1]Lars Buitinck, Gilles Louppe, Mathieu Blondel, Fabian Pedregosa, Andreas Mueller, Olivier Grisel, Vlad Niculae, Peter Prettenhofer, Alexandre Gramfort, Jaques Grobler, Robert Layton, Jake VanderPlas, Arnaud Joly, Brian Holt, Gaël Varoquaux:
API design for machine learning software: experiences from the scikit-learn project. CoRR abs/1309.0238 (2013) - 2012
- [c1]Lars Buitinck, Maarten Marx:
Two-Stage Named-Entity Recognition Using Averaged Perceptrons. NLDB 2012: 171-176
Coauthor Index
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