Hauptnavigation

atKoblenzSmall.jpg Email: christian.poelitz cs.uni-dortmund.de
Phone: 0231/755-8256
Room-No.: OH12 R4.012

Projects

Research Topics

Publications

Erdmann/etal/2016b Erdmann, Elena and Boczek, Karin and Koppers, Lars and von Nordheim, Gerret and Poelitz, Christian and Molina, Alejandro and Morik, Katharina and Mueller, Henrik and Rahnenfuehrer, Joerg and Kersting, Kristian. Machine Learning meets Data-Driven Journalism: Boosting International Understanding and Transparency in News Coverage. In Proceedings of the 2016 ICML Workshop on #Data4Good: Machine Learning in Social Good Applications, 2016.
Poelitz/2016d Poelitz, Christian. Automatic methods to extract latent meanings in large text corpora. 2016.
Poelitz/etal/2016a Poelitz, Christian and Duivestijn, Wouter and Morik, Katharina. Interpretable Domain Adaptation via Optimization over the Stiefel Manifold. In Machine Learning, Vol. 104, No. 2-3, pages 315-336, 2016.
Bartz/etal/2015a Bartz, Thomas; Pölitz, Christian; Morik, Katharina and Storrer, Angelika. Using Data Mining and the CLARIN Infrastructure to Extend Corpus-based Linguistic Research. In Odijk, Jan (editors), Selected Papers from the CLARIN 2014 Conference, October 24-25, 2014, Soesterberg, The Netherlands, pages 1-13, Linköping, Linköping University Electronic Press, 2015.
Geyken/etal/2015a Alexander Geyken, Christian Pölitz und Thomas Bartz. Using a Maximum Entropy Classifier to link “good” corpus examples to dictionary senses. In Kosem, Iztok; Jakubíček, Miloš; Kallas, Jelena and Krek, Simon (editors), Electronic lexicography in the 21st century: linking lexical data in the digital age. Proceedings of the eLex 2015 conference, 11-13 August 2015, Herstmonceux Castle, United Kingdom, pages 304-314, Ljubljana and Brighton, Trojina, Institute for Applied Slovene Studies and Lexical Computing Ltd., 2015.
Lee/Poelitz/2015a Lee, Sangkyun and Pölitz, Christian. Kernel Matrix Completion for Learning Nearly Consensus Support Vector Machines. In Fred, Ana and De Marsico, Maria and Tabbone, Antoine (editors), Pattern Recognition Applications and Methods, Vol. 9443, pages 93--109, Springer, 2015.
Poelitz/2015a Christian Poelitz. Distance based Active Learning for Domain Adaptation. In ICPRAM 2015 - Proceedings of the 4th International Conference on Pattern Recognition Applications and Methods, 2015.
Poelitz/2015b Christian Poelitz. Modelling Time and Location in Topic Models. In ICLM Workshops - CEUR Workshop Proceedings, Vol. 2, No. 2, pages 95-96, 2015.
Poelitz/etal/2015a Poelitz, Christian; Bartz, Thomas; Morik, Katharina and Angelika Storrer. Investigation of Word Senses over Time using Linguistic Corpora. In Král, Pavel and Matoušek, Václav (editors), Text, Speech, and Dialogue, Vol. 18, No. 18, pages 191-198, Springer, 2015.
Poelitz/etal/2015b Poelitz, Christian; Bartz, Thomas and Beißwenger, Michael. Überwachte und unüberwachte Disambiguierung von KwiC-Snippets bei der Suche in großen Textkorpora. Data-Mining-Verfahren des KobRA-Projekts, Stand 08/2014. Technische Universität Dortmund, 2015.
Lee/Poelitz/2014a Lee, Sangkyun and Pölitz, Christian. Kernel Completion for Learning Consensus Support Vector Machines in Bandwidth-Limited Sensor Networks. In International Conference on Pattern Recognition Applications and Methods, 2014.
Poelitz/Bartz/2014a Poelitz, Christian. Enhancing the possibilities of corpus-based investigations: Word sense disambiguation on query results of large text corpora. In Proceedings of the 8th Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH), pages 42-46, 2014.
Bartz/etal/2013b Bartz, Thomas; Poelitz, Christian and Radtke, Nadja. Automatische Klassifikation von Stützverbgefügen mithilfe von Data-Mining. Technische Universität Dortmund, 2013.
Bartz/Poelitz/2013a Bartz, Thomas and Poelitz, Christian. Disambiguierung in Suchtrefferlisten aus großen Textkorpora. Technische Universität Dortmund, 2013.
Poelitz/2013a Poelitz. Domain Adaptation in Corpus Lingustics. 2013.
Poelitz/2013b LWA (editors). Cross Domain Active Learning. University of Bamberg, 2013.
Andrienko/etal/2012b Gennady L. Andrienko and Natalia V. Andrienko and Martin Mladenov and Michael Mock and Christian Poelitz. Identifying Place Histories from Activity Traces with an Eye to Parameter Impact. In IEEE Trans. Vis. Comput. Graph., Vol. 18, No. 5, pages 675-688, 2012.
Poelitz/2012c Christian Poelitz and Ralf Schenkel. Ranking under Tight Budgets. In DEXA Workshop, IEEE Computer Society, 2012.
Poelitz/2011a Christian Poelitz and Ralf Schenkel. Learning to rank under tight budget constraints. In Wei-Ying Ma and Jian-Yun Nie and Ricardo A. Baeza-Yates and Tat-Seng Chua and W. Bruce Croft (editors), SIGIR, pages 1173-1174, ACM, 2011.
Andrienko/etal/2010a Gennady L. Andrienko and Natalia V. Andrienko and Peter Bak and Sebastian Bremm and Daniel A. Keim and Tatiana von Landesberger and Christian Poelitz and Tobias Schreck. A framework for using self-organising maps to analyse spatio-temporal patterns, exemplified by analysis of mobile phone usage. In J. Location Based Services, Vol. 4, No. 3, pages 200-221, 2010.
Andrienko/etal/2010b Gennady L. Andrienko and Natalia V. Andrienko and Martin Mladenov and Michael Mock and Christian Poelitz. Discovering bits of place histories from people's activity traces. In IEEE VAST, pages 59-66, 2010.
Andrienko/etal/2010c Gennady L. Andrienko and Natalia V. Andrienko and Martin Mladenov and Michael Mock and Christian Poelitz. Extracting Events from Spatial Time Series. In IV, IEEE Computer Society, 2010.
Karnstedt/etal/2009a Marcel Karnstedt and Daniel Klan and Christian Poelitz and Kai-Uwe Sattler and Conny Franke. Adaptive burst detection in a stream engine. In Sung Y. Shin and Sascha Ossowski (editors), Proceedings of the 2009 ACM Symposium on Applied Computing, ACM, 2009.

Supervised Theses