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Christian Pölitz
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2020 – today
- 2024
- [i6]Shraddha Barke, Christian Pölitz, Carina Suzana Negreanu, Benjamin G. Zorn, José Cambronero, Andrew D. Gordon, Vu Le, Elnaz Nouri, Nadia Polikarpova, Advait Sarkar, Brian Slininger, Neil Toronto, Jack Williams:
Solving Data-centric Tasks using Large Language Models. CoRR abs/2402.11734 (2024) - 2023
- [c26]Justin Payan, Swaroop Mishra, Mukul Singh, Carina Negreanu, Christian Pölitz, Chitta Baral, Subhro Roy, Rasika Chakravarthy, Benjamin Van Durme, Elnaz Nouri:
InstructExcel: A Benchmark for Natural Language Instruction in Excel. EMNLP (Findings) 2023: 4026-4043 - [i5]Justin Payan, Swaroop Mishra, Mukul Singh, Carina Negreanu, Christian Pölitz, Chitta Baral, Subhro Roy, Rasika Chakravarthy, Benjamin Van Durme, Elnaz Nouri:
InstructExcel: A Benchmark for Natural Language Instruction in Excel. CoRR abs/2310.14495 (2023) - 2022
- [c25]Advait Sarkar, Carina Negreanu, Ben Zorn, Sruti Srinivasa Ragavan, Christian Pölitz, Andrew D. Gordon:
What is it like to program with artificial intelligence? PPIG 2022: 127-153 - [i4]Advait Sarkar, Andrew D. Gordon, Carina Negreanu, Christian Pölitz, Sruti Srinivasa Ragavan, Ben Zorn:
What is it like to program with artificial intelligence? CoRR abs/2208.06213 (2022)
2010 – 2019
- 2017
- [c24]Daniel Zoller, Stephan Doerfel, Christian Pölitz, Andreas Hotho:
Leveraging User-Interactions for Time-Aware Tag Recommendations. RecTemp@RecSys 2017: 9-15 - [c23]Thomas Niebler, Martin Becker, Christian Pölitz, Andreas Hotho:
Learning Semantic Relatedness from Human Feedback Using Relative Relatedness Learning. ISWC (Posters, Demos & Industry Tracks) 2017 - [i3]Thomas Niebler, Martin Becker, Christian Pölitz, Andreas Hotho:
Learning Semantic Relatedness From Human Feedback Using Metric Learning. CoRR abs/1705.07425 (2017) - [i2]Alexander Dallmann, Alexander Grimm, Christian Pölitz, Daniel Zoller, Andreas Hotho:
Improving Session Recommendation with Recurrent Neural Networks by Exploiting Dwell Time. CoRR abs/1706.10231 (2017) - 2016
- [b1]Christian Pölitz:
Automatic methods to extract latent meanings in large text corpora. Dortmund University, Germany, 2016 - [j4]Christian Pölitz:
Data Mining Software for Corpus Linguistics with Application in Diachronic Linguistics. J. Lang. Technol. Comput. Linguistics 31(1): 51-62 (2016) - [j3]Christian Pölitz
, Wouter Duivesteijn, Katharina Morik:
Interpretable domain adaptation via optimization over the Stiefel manifold. Mach. Learn. 104(2-3): 315-336 (2016) - [c22]Christian Pölitz:
Supervised Extraction of Usage Patterns in Different Document Representations. Solving Large Scale Learning Tasks 2016: 346-361 - [c21]Christian Pölitz:
Sampling Methods for Random Subspace Domain Adaptation. LWDA 2016: 14-25 - [c20]Christian Pölitz:
Topic Models with Sparse and Group-Sparsity Inducing Priors. DMNLP@PKDD/ECML 2016: 33-40 - [i1]Elena Erdmann, Karin Boczek
, Lars Koppers, Gerret von Nordheim, Christian Pölitz, Alejandro Molina, Katharina Morik, Henrik Müller, Jörg Rahnenführer, Kristian Kersting:
Machine Learning meets Data-Driven Journalism: Boosting International Understanding and Transparency in News Coverage. CoRR abs/1606.05110 (2016) - 2015
- [c19]Christian Pölitz, Katharina Morik:
Big Data und Data Mining in den Digital Humanities. DHd 2015 - [c18]Christian Pölitz:
Modelling Time and Location in Topic Models. MUD@ICML 2015: 95-96 - [c17]Christian Pölitz:
Distance Based Active Learning for Domain Adaptation. ICPRAM (1) 2015: 296-303 - [c16]Christian Pölitz, Thomas Bartz, Katharina Morik, Angelika Störrer:
Investigation of Word Senses over Time Using Linguistic Corpora. TSD 2015: 191-198 - 2014
- [c15]Thomas Bartz, Christian Pölitz, Katharina Morik, Angelika Storrer:
Using Data Mining and the CLARIN Infrastructure to Extend Corpus-based Linguistic Research. CLARIN Annual Conference 2014: 1-13 - [c14]Thomas Bartz, Alexander Geyken, Christian Pölitz, Angelika Storrer:
Disambiguierung in Suchtrefferlisten aus großen Textkorpora: Anwendungsfelder und Perspektiven. DHd 2014 - [c13]Thomas Bartz, Michael Beißwenger, Christian Pölitz, Nadja Radtke, Angelika Storrer:
Neue Möglichkeiten der Arbeit mit strukturierten Sprachressourcen in den Digital Humanities mithilfe von Data-Mining. DH 2014 - [c12]Sangkyun Lee
, Christian Pölitz:
Kernel Matrix Completion for Learning Nearly Consensus Support Vector Machines. ICPRAM (Selected Papers) 2014: 93-109 - [c11]Sangkyun Lee
, Christian Pölitz:
Kernel Completion for Learning Consensus Support Vector Machines in Bandwidth-limited Sensor Networks. ICPRAM 2014: 113-124 - [c10]Christian Pölitz, Thomas Bartz:
Enhancing the possibilities of corpus-based investigations: Word sense disambiguation on query results of large text corpora. LaTeCH@EACL 2014: 42-46 - 2013
- [c9]Christian Pölitz:
Cross Domain Active Learning. LWA 2013: 98-102 - 2012
- [j2]Gennady L. Andrienko
, Natalia V. Andrienko, Martin Mladenov, Michael Mock, Christian Pölitz:
Identifying Place Histories from Activity Traces with an Eye to Parameter Impact. IEEE Trans. Vis. Comput. Graph. 18(5): 675-688 (2012) - [c8]Christian Pölitz, Ralf Schenkel
:
Ranking under Tight Budgets. DEXA Workshops 2012: 161-165 - 2011
- [c7]Christian Pölitz, Ralf Schenkel
:
Learning to rank under tight budget constraints. SIGIR 2011: 1173-1174 - 2010
- [j1]Gennady L. Andrienko
, Natalia V. Andrienko
, Peter Bak, Sebastian Bremm, Daniel A. Keim, Tatiana von Landesberger, Christian Pölitz, Tobias Schreck
:
A framework for using self-organising maps to analyse spatio-temporal patterns, exemplified by analysis of mobile phone usage. J. Locat. Based Serv. 4(3&4): 200-221 (2010) - [c6]Gennady L. Andrienko
, Natalia V. Andrienko
, Martin Mladenov, Michael Mock, Christian Pölitz:
Discovering bits of place histories from people's activity traces. IEEE VAST 2010: 59-66 - [c5]Gennady L. Andrienko
, Natalia V. Andrienko
, Martin Mladenov, Michael Mock, Christian Pölitz:
Extracting Events from Spatial Time Series. IV 2010: 48-53 - [c4]Christian Pölitz:
Pattern Mining in Sparse Temporal Domains, an Interpolation Approach. LWA 2010: 125-128 - [c3]Christian Pölitz, Gennady L. Andrienko, Natalia V. Andrienko:
Finding Arbitrary Shaped Clusters with Related Extents in Space and Time. EuroVAST@EuroVis 2010
2000 – 2009
- 2009
- [c2]Marcel Karnstedt, Daniel Klan, Christian Pölitz, Kai-Uwe Sattler, Conny Franke:
Adaptive burst detection in a stream engine. SAC 2009: 1511-1515 - 2008
- [c1]Daniel Klan, Marcel Karnstedt, Christian Pölitz, Kai-Uwe Sattler:
Towards Burst Detection for Non-Stationary Stream Data. LWA 2008: 57-60
Coauthor Index
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last updated on 2024-05-08 20:57 CEST by the dblp team
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