Christian Pölitz

发表

Identifying Place Histories from Activity Traces with an Eye to Parameter Impact

Gennady L. Andrienko, Natalia V. Andrienko, Martin Mladenov, 2012, IEEE Transactions on Visualization and Computer Graphics.

Data Mining Software for Corpus Linguistics with Application in Diachronic Linguistics

Christian Pölitz, 2016, J. Lang. Technol. Comput. Linguistics.

Using Data Mining and the CLARIN Infrastructure to Extend Corpus-based Linguistic Research

Katharina Morik, Christian Pölitz, Thomas Bartz, 2015 .

Automatic methods to extract latent meanings in large text corpora

Christian Pölitz, 2016 .

Learning Semantic Relatedness From Human Feedback Using Metric Learning pdf

Andreas Hotho, Thomas Niebler, Christian Pölitz, 2017, ArXiv.

Towards Burst Detection for Non-Stationary Stream Data

Marcel Karnstedt, Kai-Uwe Sattler, Christian Pölitz, 2008, LWA.

Distance Based Active Learning for Domain Adaptation

Christian Pölitz, Christian Pölitz, 2015, ICPRAM.

Learning Semantic Relatedness from Human Feedback Using Relative Relatedness Learning

Andreas Hotho, Thomas Niebler, Christian Pölitz, 2017, International Semantic Web Conference.

Pattern Mining in Sparse Temporal Domains, an Interpolation Approach

Christian Pölitz, 2010, LWA.

Learning to rank under tight budget constraints

Ralf Schenkel, Christian Pölitz, 2011, SIGIR '11.

Interpretable domain adaptation via optimization over the Stiefel manifold

Katharina Morik, Wouter Duivesteijn, Christian Pölitz, 2016, Machine Learning.

Extracting Events from Spatial Time Series

Gennady L. Andrienko, Natalia V. Andrienko, Martin Mladenov, 2010, 2010 14th International Conference Information Visualisation.

Sampling Methods for Random Subspace Domain Adaptation

Christian Pölitz, 2016, LWDA.

Improving Session Recommendation with Recurrent Neural Networks by Exploiting Dwell Time pdf

Andreas Hotho, Daniel Zoller, Alexander Dallmann, 2017, ArXiv.

Finding Arbitrary Shaped Clusters with Related Extents in Space and Time

Gennady L. Andrienko, Natalia V. Andrienko, Christian Pölitz, 2010, EuroVAST@EuroVis.

Cross Domain Active Learning

Christian Pölitz, Christian Pölitz, 2013, LWA.

Supervised Extraction of Usage Patterns in Different Document Representations

Christian Pölitz, 2016, Solving Large Scale Learning Tasks.

Machine Learning meets Data-Driven Journalism: Boosting International Understanding and Transparency in News Coverage pdf

Katharina Morik, Kristian Kersting, Jörg Rahnenführer, 2016, ArXiv.

Investigation of Word Senses over Time Using Linguistic Corpora

Katharina Morik, Christian Pölitz, Thomas Bartz, 2015, TSD.

Enhancing the possibilities of corpus-based investigations: Word sense disambiguation on query results of large text corpora

Christian Pölitz, Thomas Bartz, Thomas Bartz, 2014, LaTeCH@EACL.

Combining a rule-based approach and machine learning in a good-example extraction task for the purpose of lexicographic work on contemporary standard German

Christian Pölitz, Jörg Didakowski, Alexander Geyken, 2015 .

Ranking under Tight Budgets

Ralf Schenkel, Christian Pölitz, 2012, 2012 23rd International Workshop on Database and Expert Systems Applications.

Mining corpora of computer-mediated communication: analysis of linguistic features in Wikipedia talk pages using machine learning methods

Eliza Margaretha, Harald Lüngen, Christian Pölitz, 2014 .

A framework for using self-organising maps to analyse spatio-temporal patterns, exemplified by analysis of mobile phone usage

Daniel A. Keim, Tobias Schreck, Peter Bak, 2010, J. Locat. Based Serv..

Neue Möglichkeiten der Arbeit mit strukturierten Sprachressourcen in den Digital Humanities mithilfe von Data-Mining

Christian Pölitz, Thomas Bartz, Angelika Storrer, 2014, DH.

Kernel Matrix Completion for Learning Nearly Consensus Support Vector Machines

Sangkyun Lee, Christian Pölitz, Sangkyun Lee, 2014, ICPRAM.

Leveraging User-Interactions for Time-Aware Tag Recommendations

Andreas Hotho, Daniel Zoller, Stephan Doerfel, 2017, RecTemp@RecSys.

Modelling Time and Location in Topic Models

Christian Pölitz, 2015, MUD@ICML.

Topic Models with Sparse and Group-Sparsity Inducing Priors

Christian Pölitz, 2016, DMNLP@PKDD/ECML.

Robust Ranking Models Using Noisy Feedback

Ralf Schenkel, Christian Pölitz, 2012 .

Using a Maximum Entropy Classifier to link “good” corpus examples to dictionary senses

Christian Pölitz, Thomas Bartz, Alexander Geyken, 2015 .

Adaptive burst detection in a stream engine

Marcel Karnstedt, Kai-Uwe Sattler, Christian Pölitz, 2009, SAC '09.

Discovering bits of place histories from people's activity traces

Gennady L. Andrienko, Natalia V. Andrienko, Martin Mladenov, 2010, 2010 IEEE Symposium on Visual Analytics Science and Technology.

Kernel Completion for Learning Consensus Support Vector Machines in Bandwidth-limited Sensor Networks