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Daniel Paurat
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2010 – 2019
- 2019
- [e1]Anna Monreale, Carlos Alzate, Michael Kamp, Yamuna Krishnamurthy, Daniel Paurat, Moamar Sayed Mouchaweh, Albert Bifet, João Gama, Rita P. Ribeiro:
ECML PKDD 2018 Workshops - DMLE 2018 and IoTStream 2018, Dublin, Ireland, September 10-14, 2018, Revised Selected Papers. Communications in Computer and Information Science 967, Springer 2019, ISBN 978-3-030-14879-9 [contents] - 2018
- [c7]Rafet Sifa, Daniel Paurat, Daniel Trabold, Christian Bauckhage:
Simple Recurrent Neural Networks for Support Vector Machine Training. ICANN (3) 2018: 13-22 - [i1]Sven Giesselbach, Katrin Ullrich, Michael Kamp, Daniel Paurat, Thomas Gärtner:
Corresponding Projections for Orphan Screening. CoRR abs/1812.00058 (2018) - 2017
- [b1]Daniel Paurat:
Intuitive Exploration of Multivariate Data. University of Bonn, Germany, 2017 - 2014
- [c6]Dino Oglic, Daniel Paurat, Thomas Gärtner:
Interactive Knowledge-Based Kernel PCA. ECML/PKDD (2) 2014: 501-516 - 2013
- [c5]Daniel Paurat, Thomas Gärtner:
InVis: A Tool for Interactive Visual Data Analysis. ECML/PKDD (3) 2013: 672-676 - 2012
- [c4]Henrik Großkreutz, Daniel Paurat, Stefan Rüping:
An enhanced relevance criterion for more concise supervised pattern discovery. KDD 2012: 1442-1450 - 2011
- [c3]Mario Boley, Claudio Lucchese, Daniel Paurat, Thomas Gärtner:
Direct local pattern sampling by efficient two-step random procedures. KDD 2011: 582-590 - [c2]Mario Boley, Claudio Lucchese, Daniel Paurat, Thomas Gärtner:
Direct Pattern Sampling with Respect to Pattern Frequency. LWA 2011: 114-121 - [c1]Henrik Grosskreutz, Daniel Paurat:
Fast and Memory-Efficient Discovery of the Top-k Relevant Subgroups in a Reduced Candidate Space. ECML/PKDD (1) 2011: 533-548
Coauthor Index
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