What is it like to program with artificial intelligence? A Sarkar, AD Gordon, C Negreanu, C Poelitz, SS Ragavan, B Zorn arXiv preprint arXiv:2208.06213, 2022 | 118 | 2022 |
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 | 55 | 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 | 54 | 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 | 47 | 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 | 33 | 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 | 19 | 2017 |
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 | 19 | 2009 |
Finding arbitrary shaped clusters with related extents in space and time C Pölitz, G Andrienko, N Andrienko | 15 | 2010 |
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 Proceedings of the eLex 2015 conference, 11-13, 2015 | 14 | 2015 |
Towards Burst Detection for Non-Stationary Stream Data. D Klan, M Karnstedt, C Pölitz, KU Sattler LWA, 57-60, 2008 | 14 | 2008 |
Interpretable domain adaptation via optimization over the Stiefel manifold C Pölitz, W Duivesteijn, K Morik Machine Learning 104, 315-336, 2016 | 12 | 2016 |
Learning semantic relatedness from human feedback using metric learning T Niebler, M Becker, C Pölitz, A Hotho arXiv preprint arXiv:1705.07425, 2017 | 9 | 2017 |
Using data mining and the clarin infrastructure to extend corpus-based linguistic research T Bartz, C Pölitz, K Morik, A Storrer | 9 | 2015 |
MAGIC: Generating Self-Correction Guideline for In-Context Text-to-SQL A Askari, C Poelitz, X Tang arXiv preprint arXiv:2406.12692, 2024 | 7 | 2024 |
Using a Maximum Entropy Classifier to link “good” corpus examples to dictionary senses A Geyken, C Pölitz, T Bartz Electronic lexicography in the 21st century: linking lexical data in the …, 2015 | 7 | 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 | 7 | 2015 |
InstructExcel: A Benchmark for Natural Language Instruction in Excel J Payan, S Mishra, M Singh, C Negreanu, C Poelitz, C Baral, S Roy, ... arXiv preprint arXiv:2310.14495, 2023 | 5 | 2023 |
What is it like to program with artificial intelligence?(2022) A Sarkar, AD Gordon, C Negreanu, C Pölitz, SS Ragavan, B Zorn arXiv preprint cs.HC/2208.06213 33, 2022 | 5 | 2022 |
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 | 5 | 2014 |
What is it like to program with artificial intelligence? arXiv 2022 A Sarkar, AD Gordon, C Negreanu, C Poelitz, SS Ragavan, B Zorn arXiv preprint arXiv:2208.06213, 0 | 5 | |