Towards Burst Detection for Non-Stationary Stream Data. - Daniel Klan; Marcel Karnstedt; Christian Pölitz; Kai-Uwe Sattler (LWA, 2008)

Adaptive burst detection in a stream engine. - Marcel Karnstedt; Daniel Klan; Christian Pölitz; Kai-Uwe Sattler; Conny Franke (SAC, 2009)

Discovering bits of place histories from people's activity traces. - Gennady L. Andrienko; Natalia V. Andrienko; Martin Mladenov; Michael Mock; Christian Pölitz (IEEE VAST, 2010)

Extracting Events from Spatial Time Series. - Gennady L. Andrienko; Natalia V. Andrienko; Martin Mladenov; Michael Mock; Christian Pölitz (IV, 2010)

Pattern Mining in Sparse Temporal Domains, an Interpolation Approach. - Christian Pölitz (LWA, 2010)

Finding Arbitrary Shaped Clusters with Related Extents in Space and Time. - Christian Pölitz; Gennady L. Andrienko; Natalia V. Andrienko (EuroVAST@EuroVis, 2010)

A framework for using self-organising maps to analyse spatio-temporal patterns, exemplified by analysis of mobile phone usage. - Gennady L. Andrienko; Natalia V. Andrienko; Peter Bak; Sebastian Bremm; Daniel A. Keim; Tatiana von Landesberger; Christian Pölitz; Tobias Schreck (J. Locat. Based Serv., 2010)

Learning to rank under tight budget constraints. - Christian Pölitz; Ralf Schenkel (SIGIR, 2011)

Ranking under Tight Budgets. - Christian Pölitz; Ralf Schenkel (DEXA Workshops, 2012)

Identifying Place Histories from Activity Traces with an Eye to Parameter Impact. - Gennady L. Andrienko; Natalia V. Andrienko; Martin Mladenov; Michael Mock; Christian Pölitz (IEEE Trans. Vis. Comput. Graph., 2012)

Cross Domain Active Learning. - Christian Pölitz (LWA, 2013)

Using Data Mining and the CLARIN Infrastructure to Extend Corpus-based Linguistic Research. - Thomas Bartz; Christian Pölitz; Katharina Morik; Angelika Storrer (CLARIN Annual Conference, 2014)

Disambiguierung in Suchtrefferlisten aus großen Textkorpora: Anwendungsfelder und Perspektiven. - Thomas Bartz; Alexander Geyken; Christian Pölitz; Angelika Storrer (DHd, 2014)

Neue Möglichkeiten der Arbeit mit strukturierten Sprachressourcen in den Digital Humanities mithilfe von Data-Mining. - Thomas Bartz; Michael Beißwenger; Christian Pölitz; Nadja Radtke; Angelika Storrer (DH, 2014)

Kernel Matrix Completion for Learning Nearly Consensus Support Vector Machines. - Sangkyun Lee 002; Christian Pölitz (ICPRAM (Selected Papers), 2014)

Kernel Completion for Learning Consensus Support Vector Machines in Bandwidth-limited Sensor Networks. - Sangkyun Lee 002; Christian Pölitz (ICPRAM, 2014)

Enhancing the possibilities of corpus-based investigations: Word sense disambiguation on query results of large text corpora. - Christian Pölitz; Thomas Bartz (LaTeCH@EACL, 2014)

Big Data und Data Mining in den Digital Humanities. - Christian Pölitz; Katharina Morik (DHd, 2015)

Modelling Time and Location in Topic Models. - Christian Pölitz (MUD@ICML, 2015)

Distance Based Active Learning for Domain Adaptation. - Christian Pölitz (ICPRAM (1), 2015)

Investigation of Word Senses over Time Using Linguistic Corpora. - Christian Pölitz; Thomas Bartz; Katharina Morik; Angelika Störrer (TSD, 2015)

Supervised Extraction of Usage Patterns in Different Document Representations. - Christian Pölitz (Solving Large Scale Learning Tasks, 2016)

Sampling Methods for Random Subspace Domain Adaptation. - Christian Pölitz (LWDA, 2016)

Topic Models with Sparse and Group-Sparsity Inducing Priors. - Christian Pölitz (DMNLP@PKDD/ECML, 2016)

Machine Learning meets Data-Driven Journalism: Boosting International Understanding and Transparency in News Coverage. - Elena Erdmann; Karin Boczek; Lars Koppers; Gerret von Nordheim; Christian Pölitz; Alejandro Molina 001; Katharina Morik; Henrik Müller; Jörg Rahnenführer; Kristian Kersting (CoRR, 2016)

Data Mining Software for Corpus Linguistics with Application in Diachronic Linguistics. - Christian Pölitz (J. Lang. Technol. Comput. Linguistics, 2016)

Interpretable domain adaptation via optimization over the Stiefel manifold. - Christian Pölitz; Wouter Duivesteijn; Katharina Morik (Mach. Learn., 2016)

Automatic methods to extract latent meanings in large text corpora - Christian Pölitz (2016)

Leveraging User-Interactions for Time-Aware Tag Recommendations. - Daniel Zoller; Stephan Doerfel; Christian Pölitz; Andreas Hotho (RecTemp@RecSys, 2017)

Learning Semantic Relatedness from Human Feedback Using Relative Relatedness Learning. - Thomas Niebler; Martin Becker 003; Christian Pölitz; Andreas Hotho (ISWC (Posters, Demos & Industry Tracks), 2017)

Improving Session Recommendation with Recurrent Neural Networks by Exploiting Dwell Time. - Alexander Dallmann; Alexander Grimm; Christian Pölitz; Daniel Zoller; Andreas Hotho (CoRR, 2017)

Learning Semantic Relatedness From Human Feedback Using Metric Learning. - Thomas Niebler; Martin Becker 003; Christian Pölitz; Andreas Hotho (CoRR, 2017)

What is it like to program with artificial intelligence? - Advait Sarkar; Carina Negreanu; Ben Zorn 001; Sruti Srinivasa Ragavan; Christian Pölitz; Andrew D. Gordon 001 (PPIG, 2022)

InstructExcel: A Benchmark for Natural Language Instruction in Excel. - Justin Payan; Swaroop Mishra; Mukul Singh; Carina Negreanu; Christian Pölitz; Chitta Baral; Subhro Roy; Rasika Chakravarthy; Benjamin Van Durme; Elnaz Nouri (EMNLP (Findings), 2023)

Solving Data-centric Tasks using Large Language Models. - Shraddha Barke; Christian Pölitz; Carina Negreanu; Benjamin Zorn 001; José Cambronero; Andrew D. Gordon 001; Vu Le 002; Elnaz Nouri; Nadia Polikarpova; Advait Sarkar; Brian Slininger; Neil Toronto; et al. (NAACL-HLT (Findings), 2024)

When Copilot Becomes Autopilot: Generative AI's Critical Risk to Knowledge Work and a Critical Solution. - Advait Sarkar; Xiaotong Xu; Neil Toronto; Ian Drosos; Christian Pölitz (CoRR, 2024)

MAGIC: Generating Self-Correction Guideline for In-Context Text-to-SQL. - Arian Askari; Christian Pölitz; Xinye Tang (AAAI, 2025)

Evaluating the Evaluator: Measuring LLMs' Adherence to Task Evaluation Instructions. - Bhuvanashree Murugadoss; Christian Pölitz; Ian Drosos; Vu Le 002; Nick McKenna; Carina Suzana Negreanu; Chris Parnin; Advait Sarkar (AAAI, 2025)

Synthetic Clarification and Correction Dialogues about Data-Centric Tasks - A Teacher-Student Approach. - Christian Pölitz; Nick McKenna (CoRR, 2025)

Synthetic Function Demonstrations Improve Generation in Low-Resource Programming Languages. - Nick McKenna; Xinnuo Xu; Jack Williams 001; Nick Wilson; Benjamin Van Durme; Christian Pölitz (CoRR, 2025)