@inproceedings{KirschFelberMarcheretal.2014,
  author    = {Kirsch, Ansgar and Felber, W. and Marcher, Thomas and Fuchs, W.},
  title     = {Geotechnical challenges during design and construction of a ski resort in Azerbaijan},
  series = {Geotechnics of roads and railways : proceedings of the 15th Danube - European Conference on Geotechnical Engineering : 9-11 September 2014, Vienna, Austria},
  booktitle = {Geotechnics of roads and railways : proceedings of the 15th Danube - European Conference on Geotechnical Engineering : 9-11 September 2014, Vienna, Austria},
  publisher = {{\"O}IAV - {\"O}sterreichischer Ingenieur- und Architekten-Verein},
  address   = {Wien},
  organization    = {Danube - European Conference on Geotechnical Engineering <15, 2014, Wien>},
  isbn      = {978-3-902593-01-6},
  pages     = {757 -- 762},
  year      = {2014},
  language  = {en}
}
@inproceedings{KirschMarcher2010,
  author    = {Kirsch, Ansgar and Marcher, Thomas},
  title     = {Numerical prediction of time-dependent rock swelling based on an example of a major tunnel project in Ontario/Canada},
  series = {Numerical methods in geotechnical engineering : (NUMGE 2010) : proceedings of the seventh European Conference on Numerical Methods in Geotechnical Engineering, Trondheim, Norway, 2 - 4 June 2010 / ed. by Thomas Benz ...},
  booktitle = {Numerical methods in geotechnical engineering : (NUMGE 2010) : proceedings of the seventh European Conference on Numerical Methods in Geotechnical Engineering, Trondheim, Norway, 2 - 4 June 2010 / ed. by Thomas Benz ...},
  publisher = {Taylor and Francis},
  address   = {London},
  organization    = {European Conference on Numerical Methods in Geotechnical Engineering <7, 2010, Trondheim>},
  isbn      = {978-0-415-59239-0},
  pages     = {297 -- 302},
  year      = {2010},
  language  = {en}
}
@inproceedings{KirschMatareFerreinetal.2020,
  author    = {Kirsch, Maximilian and Matar{\´e}, Victor and Ferrein, Alexander and Schiffer, Stefan},
  title     = {Integrating golog++ and ROS for Practical and Portable High-level Control},
  series = {12th International Conference on Agents and Artificial Intelligence},
  booktitle = {12th International Conference on Agents and Artificial Intelligence},
  doi       = {10.5220/0008984406920699},
  year      = {2020},
  language  = {en}
}
@inproceedings{KleinLindemann1997,
  author    = {Klein, Stefan and Lindemann, Markus},
  title     = {New architectures for web-enabled EDI-applications and their impact on VANS},
  series = {Global business in practice : proceedings of the Tenth International Bled Electronic Commerce Conference BLED '97, Bled, Slovenia, June 9-11 1997},
  booktitle = {Global business in practice : proceedings of the Tenth International Bled Electronic Commerce Conference BLED '97, Bled, Slovenia, June 9-11 1997},
  editor    = {Vogel, Douglas R.},
  publisher = {Moderna organizacija},
  address   = {Kranj},
  pages     = {556 -- 573},
  year      = {1997},
  language  = {en}
}
@inproceedings{KleineKallweitMichauxetal.2016,
  author    = {Kleine, Harald and Kallweit, Stephan and Michaux, Frank and Havermann, Marc and Olivier, Herbert},
  title     = {PIV Measurement of Shock Wave Diffraction},
  series = {18th International Symposium on Applications of Laser Techniques to Fluid Mechanics, 2016, Lissabon},
  booktitle = {18th International Symposium on Applications of Laser Techniques to Fluid Mechanics, 2016, Lissabon},
  pages     = {1 -- 14},
  year      = {2016},
  language  = {en}
}
@inproceedings{KloockSchubertErmelenkoetal.2006,
  author    = {Kloock, Joachim P. and Schubert, J. and Ermelenko, Y. and Vlasov, Y. G. and Bratov, A. and Sch{\"o}ning, Michael Josef},
  title     = {Thin-film sensors with chalcogenide glass materials - a general survey},
  series = {Biochemical sensing utilisation of micro- and nanotechnologies : Warsaw, [23rd - 26th] November 2005 / ed. by M. Mascini ...},
  booktitle = {Biochemical sensing utilisation of micro- and nanotechnologies : Warsaw, [23rd - 26th] November 2005 / ed. by M. Mascini ...},
  address   = {Warsaw},
  pages     = {92 -- 97},
  year      = {2006},
  language  = {en}
}
@inproceedings{KloockSchoening2007,
  author    = {Kloock, Joachim P. and Sch{\"o}ning, Michael Josef},
  title     = {Heavy metal detection with semiconductor devices based on PLD-prepared chalcogenide glass thin films},
  series = {Armenian Journal of Physics},
  booktitle = {Armenian Journal of Physics},
  issn      = {1829-1171},
  pages     = {95 -- 98},
  year      = {2007},
  language  = {en}
}
@inproceedings{KloeserBuesgenKohletal.2023,
  author    = {Kl{\"o}ser, Lars and B{\"u}sgen, Andr{\´e} and Kohl, Philipp and Kraft, Bodo and Z{\"u}ndorf, Albert},
  title     = {Explaining relation classification models with semantic extents},
  series = {DeLTA 2023: Deep Learning Theory and Applications},
  booktitle = {DeLTA 2023: Deep Learning Theory and Applications},
  editor    = {Conte, Donatello and Fred, Ana and Gusikhin, Oleg and Sansone, Carlo},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-031-39058-6 (Print)},
  doi       = {10.1007/978-3-031-39059-3_13},
  pages     = {189 -- 208},
  year      = {2023},
  abstract  = {In recent years, the development of large pretrained language models, such as BERT and GPT, significantly improved information extraction systems on various tasks, including relation classification. State-of-the-art systems are highly accurate on scientific benchmarks. A lack of explainability is currently a complicating factor in many real-world applications. Comprehensible systems are necessary to prevent biased, counterintuitive, or harmful decisions. We introduce semantic extents, a concept to analyze decision patterns for the relation classification task. Semantic extents are the most influential parts of texts concerning classification decisions. Our definition allows similar procedures to determine semantic extents for humans and models. We provide an annotation tool and a software framework to determine semantic extents for humans and models conveniently and reproducibly. Comparing both reveals that models tend to learn shortcut patterns from data. These patterns are hard to detect with current interpretability methods, such as input reductions. Our approach can help detect and eliminate spurious decision patterns during model development. Semantic extents can increase the reliability and security of natural language processing systems. Semantic extents are an essential step in enabling applications in critical areas like healthcare or finance. Moreover, our work opens new research directions for developing methods to explain deep learning models.},
  language  = {en}
}
@inproceedings{KloeserKohlKraftetal.2021,
  author    = {Kl{\"o}ser, Lars and Kohl, Philipp and Kraft, Bodo and Z{\"u}ndorf, Albert},
  title     = {Multi-attribute relation extraction (MARE): simplifying the application of relation extraction},
  series = {Proceedings of the 2nd International Conference on Deep Learning Theory and Applications - DeLTA},
  booktitle = {Proceedings of the 2nd International Conference on Deep Learning Theory and Applications - DeLTA},
  isbn      = {978-989-758-526-5},
  doi       = {10.5220/0010559201480156},
  pages     = {148 -- 156},
  year      = {2021},
  abstract  = {Natural language understanding's relation extraction makes innovative and encouraging novel business concepts possible and facilitates new digitilized decision-making processes. Current approaches allow the extraction of relations with a fixed number of entities as attributes. Extracting relations with an arbitrary amount of attributes requires complex systems and costly relation-trigger annotations to assist these systems. We introduce multi-attribute relation extraction (MARE) as an assumption-less problem formulation with two approaches, facilitating an explicit mapping from business use cases to the data annotations. Avoiding elaborated annotation constraints simplifies the application of relation extraction approaches. The evaluation compares our models to current state-of-the-art event extraction and binary relation extraction methods. Our approaches show improvement compared to these on the extraction of general multi-attribute relations.},
  language  = {en}
}
@inproceedings{KnackstedtEggertFleischer2012,
  author    = {Knackstedt, Ralf and Eggert, Mathias and Fleischer, Stefan},
  title     = {The Legal Perspective on Business to Government Reporting - A Conceptual Modeling Approach and Its Application in the Financial Sector},
  series = {45th Hawaii International Conference on System Sciences 2012},
  booktitle = {45th Hawaii International Conference on System Sciences 2012},
  isbn      = {978-0-7695-4525-7},
  doi       = {10.1109/HICSS.2012.576},
  pages     = {2309 -- 2318},
  year      = {2012},
  language  = {en}
}