@article{BohrnStuetzFleischeretal.2011,
  author    = {Bohrn, Ulrich and St{\"u}tz, Evamaria and Fleischer, Maximilian and Sch{\"o}ning, Michael Josef and Wagner, Patrick},
  title     = {Eukaryotic cell lines as a sensitive layer for direct monitoring of carbon monoxide},
  series = {Physica status solidi (a) : applications and material science. 208 (2011), H. 6},
  journal   = {Physica status solidi (a) : applications and material science. 208 (2011), H. 6},
  publisher = {Wiley},
  address   = {Weinheim},
  isbn      = {1862-6319},
  pages     = {1345 -- 1350},
  year      = {2011},
  language  = {en}
}
@article{BohrnStuetzFleischeretal.2013,
  author    = {Bohrn, Ulrich and St{\"u}tz, Evamaria and Fleischer, Maximilian and Sch{\"o}ning, Michael Josef and Wagner, Patrick},
  title     = {Using a cell-based gas biosensor for investigation of adverse effects of acetone vapors in vitro},
  series = {Biosensors and Bioelectronics. 40 (2013), H. 1},
  journal   = {Biosensors and Bioelectronics. 40 (2013), H. 1},
  publisher = {Elsevier},
  address   = {Amsterdam},
  isbn      = {0956-5663},
  pages     = {393 -- 400},
  year      = {2013},
  language  = {en}
}
@inproceedings{BohrnStuetzFleischeretal.2012,
  author    = {Bohrn, Ulrich and St{\"u}tz, Evamaria and Fleischer, Maximilian and Sch{\"o}ning, Michael Josef and Wagner, Patrick},
  title     = {Living cell-based gas sensor system for the detection of acetone in air},
  isbn      = {978-3-9813484-2-2},
  doi       = {10.5162/IMCS2012/3.2.3},
  pages     = {269 -- 272},
  year      = {2012},
  language  = {en}
}
@article{BorkKelemenBisellietal.2000,
  author    = {Bork, M. and Kelemen, C. and Biselli, Manfred and Artmann, Gerhard},
  title     = {Biophysikalische Charakterisierung ex vivo kultivierter menschlicher Erythrozythen},
  series = {Biomedizinische Technik = Biomedical Engineering. 45 (2000), H. s1},
  journal   = {Biomedizinische Technik = Biomedical Engineering. 45 (2000), H. s1},
  isbn      = {1862-278X},
  pages     = {471 -- 472},
  year      = {2000},
  language  = {de}
}
@inproceedings{BornheimGriegerBialonski2021,
  author    = {Bornheim, Tobias and Grieger, Niklas and Bialonski, Stephan},
  title     = {FHAC at GermEval 2021: Identifying German toxic, engaging, and fact-claiming comments with ensemble learning},
  series = {Proceedings of the GermEval 2021 Workshop on the Identification of Toxic, Engaging, and Fact-Claiming Comments : 17th Conference on Natural Language Processing KONVENS 2021},
  booktitle = {Proceedings of the GermEval 2021 Workshop on the Identification of Toxic, Engaging, and Fact-Claiming Comments : 17th Conference on Natural Language Processing KONVENS 2021},
  publisher = {Heinrich Heine University},
  address   = {D{\"u}sseldorf},
  doi       = {10.48415/2021/fhw5-x128},
  pages     = {105 -- 111},
  year      = {2021},
  language  = {en}
}
@article{BornheimGriegerBlanecketal.2024,
  author    = {Bornheim, Tobias and Grieger, Niklas and Blaneck, Patrick Gustav and Bialonski, Stephan},
  title     = {Speaker Attribution in German Parliamentary Debates with QLoRA-adapted Large Language Models},
  series = {Journal for language technology and computational linguistics : JLCL},
  volume    = {37},
  journal   = {Journal for language technology and computational linguistics : JLCL},
  number    = {1},
  publisher = {Gesellschaft f{\"u}r Sprachtechnologie und Computerlinguistik},
  address   = {Regensburg},
  issn      = {2190-6858},
  doi       = {10.21248/jlcl.37.2024.244},
  pages     = {13 Seiten},
  year      = {2024},
  abstract  = {The growing body of political texts opens up new opportunities for rich insights into political dynamics and ideologies but also increases the workload for manual analysis. Automated speaker attribution, which detects who said what to whom in a speech event and is closely related to semantic role labeling, is an important processing step for computational text analysis. We study the potential of the large language model family Llama 2 to automate speaker attribution in German parliamentary debates from 2017-2021. We fine-tune Llama 2 with QLoRA, an efficient training strategy, and observe our approach to achieve competitive performance in the GermEval 2023 Shared Task On Speaker Attribution in German News Articles and Parliamentary Debates. Our results shed light on the capabilities of large language models in automating speaker attribution, revealing a promising avenue for computational analysis of political discourse and the development of semantic role labeling systems.},
  language  = {en}
}
@unpublished{BornheimGriegerBlanecketal.2023,
  author    = {Bornheim, Tobias and Grieger, Niklas and Blaneck, Patrick Gustav and Bialonski, Stephan},
  title     = {Preprint: Speaker attribution in German parliamentary debates with QLoRA-adapted large language models},
  series = {Journal for Language Technology and Computational Linguistics},
  journal   = {Journal for Language Technology and Computational Linguistics},
  doi       = {10.48550/arXiv.2309.09902},
  pages     = {8 Seiten},
  year      = {2023},
  abstract  = {The growing body of political texts opens up new opportunities for rich insights into political dynamics and ideologies but also increases the workload for manual analysis. Automated speaker attribution, which detects who said what to whom in a speech event and is closely related to semantic role labeling, is an important processing step for computational text analysis. We study the potential of the large language model family Llama 2 to automate speaker attribution in German parliamentary debates from 2017-2021. We fine-tune Llama 2 with QLoRA, an efficient training strategy, and observe our approach to achieve competitive performance in the GermEval 2023 Shared Task On Speaker Attribution in German News Articles and Parliamentary Debates. Our results shed light on the capabilities of large language models in automating speaker attribution, revealing a promising avenue for computational analysis of political discourse and the development of semantic role labeling systems.},
  language  = {en}
}
@incollection{BozakovSander2013,
  author    = {Bozakov, Zdravko and Sander, Volker},
  title     = {OpenFlow: A Perspective for Building Versatile Networks},
  series = {Network-Embedded Management and Applications},
  booktitle = {Network-Embedded Management and Applications},
  publisher = {Springer},
  address   = {New York, NY},
  isbn      = {978-1-4419-6769-5},
  doi       = {10.1007/978-1-4419-6769-5_11},
  pages     = {217 -- 245},
  year      = {2013},
  language  = {en}
}
@inproceedings{BraunsteinGoldmannAlbrachtetal.2013,
  author    = {Braunstein, Bjoern and Goldmann, Jan-Peter and Albracht, Kirsten and Sanno, Maximilian and Willwacher, Steffen and Heinrich, Kai and Herrmann, Volker and Br{\"u}ggemann, Gert-Peter},
  title     = {Joint specific contribution of mechanical power and work during acceleration and top speed in elite sprinters},
  series = {31 International Conference on Biomechanics in Sports, Taipei, Taiwan, July 07 - July 22, 2013},
  booktitle = {31 International Conference on Biomechanics in Sports, Taipei, Taiwan, July 07 - July 22, 2013},
  issn      = {1999-4168},
  year      = {2013},
  language  = {en}
}
@article{BresselSchultzeKhanetal.2003,
  author    = {Bressel, A. and Schultze, J.W. and Khan, W. and Wolfaardt, G. M. and Rohns, H.-P. and Irmscher, R. and Sch{\"o}ning, Michael Josef},
  title     = {High resolution gravimetric, optical and electrochemical investigations of microbial biofilm formation in aqueous systems},
  series = {Electrochimica Acta. 48 (2003), H. 20-22},
  journal   = {Electrochimica Acta. 48 (2003), H. 20-22},
  isbn      = {0013-4686},
  pages     = {3363 -- 3372},
  year      = {2003},
  language  = {en}
}