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