Christian Poelitz
Cited by
Cited by
Discovering bits of place histories from people's activity traces
G Andrienko, N Andrienko, M Mladenov, M Mock, C Pölitz
2010 IEEE symposium on visual analytics science and technology, 59-66, 2010
A framework for using self-organising maps to analyse spatio-temporal patterns, exemplified by analysis of mobile phone usage
G Andrienko, N Andrienko, P Bak, S Bremm, D Keim, T von Landesberger, ...
Journal of Location based services 4 (3-4), 200-221, 2010
Identifying place histories from activity traces with an eye to parameter impact
G Andrienko, N Andrienko, M Mladenov, M Mock, C Politz
IEEE Transactions on Visualization and Computer Graphics 18 (5), 675-688, 2011
Extracting events from spatial time series
G Andrienko, N Andrienko, M Mladenov, M Mock, C Poelitz
2010 14th International Conference Information Visualisation, 48-53, 2010
Adaptive burst detection in a stream engine
M Karnstedt, D Klan, C Pölitz, KU Sattler, C Franke
Proceedings of the 2009 ACM symposium on Applied Computing, 1511-1515, 2009
Finding arbitrary shaped clusters with related extents in space and time
C Pölitz, G Andrienko, N Andrienko
The Eurographics Association, 2010
Improving session recommendation with recurrent neural networks by exploiting dwell time
A Dallmann, A Grimm, C Pölitz, D Zoller, A Hotho
arXiv preprint arXiv:1706.10231, 2017
Towards Burst Detection for Non-Stationary Stream Data.
D Klan, M Karnstedt, C Pölitz, KU Sattler
LWA, 57-60, 2008
Combining a rule-based approach and machine learning in a good-example extraction task for the purpose of lexicographic work on contemporary standard German
L Lemnitzer, C Pölitz, J Didakowski, A Geyken
Electronic lexicography in the 21st century: linking lexical data in the …, 2015
Interpretable domain adaptation via optimization over the Stiefel manifold
C Pölitz, W Duivesteijn, K Morik
Machine Learning 104, 315-336, 2016
Learning semantic relatedness from human feedback using metric learning
T Niebler, M Becker, C Pölitz, A Hotho
arXiv preprint arXiv:1705.07425, 2017
Using a maximum entropy classifier to link “good” corpus examples to dictionary senses,”
A Geyken, C Pölitz, T Bartz
Proceedings of the Electronic Lexicography in the 21st Century Conference …, 2015
Investigation of word senses over time using linguistic corpora
C Pölitz, T Bartz, K Morik, A Störrer
Text, Speech, and Dialogue: 18th International Conference, TSD 2015, Pilsen …, 2015
Using data mining and the clarin infrastructure to extend corpus-based linguistic research
T Bartz, C Pölitz, K Morik, A Storrer
Selected Papers from the CLARIN 2014 Conference, October 24-25, 2014 …, 2015
Leveraging User-Interactions for Time-Aware Tag Recommendations.
D Zoller, S Doerfel, C Pölitz, A Hotho
RecTemp@ RecSys, 9-15, 2017
Machine Learning meets Data-Driven Journalism: Boosting International Understanding and Transparency in News Coverage
E Erdmann, K Boczek, L Koppers, G von Nordheim, C Pölitz, A Molina, ...
arXiv preprint arXiv:1606.05110, 2016
Modelling time and location in topic models
C Pölitz
Proceedings of the 2nd International Conference on Mining Urban Data-Volume …, 2015
Distance Based Active Learning for Domain Adaptation.
C Pölitz
ICPRAM (1), 296-303, 2015
Enhancing the possibilities of corpus-based investigations: Word sense disambiguation on query results of large text corpora
C Poelitz, T Bartz
Proceedings of the 8th Workshop on Language Technology for Cultural Heritage …, 2014
Neue Möglichkeiten der Arbeit mit strukturierten Sprachressourcen in den Digital Humanities mithilfe von Data-Mining
T Bartz, M Beißwenger, C Pölitz, N Radtke, A Storrer
Lecture Notes in Computer Science, Posters, 2014
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