@inbook{45886,
  author       = {{Wehrheim, Heike and Hüllermeier, Eyke and Becker, Steffen and Becker, Matthias and Richter, Cedric and Sharma, Arnab}},
  booktitle    = {{On-The-Fly Computing -- Individualized IT-services in dynamic markets}},
  editor       = {{Haake, Claus-Jochen and Meyer auf der Heide, Friedhelm and Platzner, Marco and Wachsmuth, Henning and Wehrheim, Heike}},
  pages        = {{105--123}},
  publisher    = {{Heinz Nixdorf Institut, Universität Paderborn}},
  title        = {{{Composition Analysis in Unknown Contexts}}},
  doi          = {{10.5281/zenodo.8068510}},
  volume       = {{412}},
  year         = {{2023}},
}

@misc{45917,
  author       = {{Raeisi Nafchi, Masood}},
  publisher    = {{Paderborn University}},
  title        = {{{Reconfigurable Random Forest Implementation on FPGA}}},
  year         = {{2023}},
}

@misc{45916,
  author       = {{Yadalam Murali Kumar, Nihal}},
  publisher    = {{Paderborn University}},
  title        = {{{Data Analytics for Predictive Maintenance of Time Series Data}}},
  year         = {{2023}},
}

@inbook{45880,
  author       = {{Elrich, Alina and Kaimann, Daniel and Fahr, René and Kundisch, Dennis and Mir Djawadi, Behnud and Müller, Michelle and Poniatowski, Martin and Schäfers, Sabrina and Frick, Bernd}},
  booktitle    = {{On-The-Fly Computing -- Individualized IT-services in dynamic markets}},
  editor       = {{Haake, Claus-Jochen and Meyer auf der Heide, Friedhelm and Platzner, Marco and Wachsmuth, Henning and Wehrheim, Heike}},
  pages        = {{45--64}},
  publisher    = {{Heinz Nixdorf Institut, Universität Paderborn}},
  title        = {{{Empirical Analysis in Markets for OTF Services}}},
  doi          = {{10.5281/zenodo.8068430}},
  volume       = {{412}},
  year         = {{2023}},
}

@phdthesis{45781,
  author       = {{Pukrop, Simon}},
  title        = {{{On Cloud Assisted, Restricted, and Reosurce Constrained Scheduling}}},
  doi          = {{10.17619/UNIPB/1-1768 }},
  year         = {{2023}},
}

@misc{46053,
  author       = {{Schneider, Fabian}},
  title        = {{{Utilizing Redundancy in Distributed Heterogeneous Storage}}},
  year         = {{2023}},
}

@misc{46110,
  author       = {{Ashri, Nivedita}},
  title        = {{{Virtual On-Demand Volunteer System Based on Delaunay Triangulation}}},
  year         = {{2023}},
}

@article{38041,
  abstract     = {{<jats:p>While FPGA accelerator boards and their respective high-level design tools are maturing, there is still a lack of multi-FPGA applications, libraries, and not least, benchmarks and reference implementations towards sustained HPC usage of these devices. As in the early days of GPUs in HPC, for workloads that can reasonably be decoupled into loosely coupled working sets, multi-accelerator support can be achieved by using standard communication interfaces like MPI on the host side. However, for performance and productivity, some applications can profit from a tighter coupling of the accelerators. FPGAs offer unique opportunities here when extending the dataflow characteristics to their communication interfaces.</jats:p>
          <jats:p>In this work, we extend the HPCC FPGA benchmark suite by multi-FPGA support and three missing benchmarks that particularly characterize or stress inter-device communication: b_eff, PTRANS, and LINPACK. With all benchmarks implemented for current boards with Intel and Xilinx FPGAs, we established a baseline for multi-FPGA performance. Additionally, for the communication-centric benchmarks, we explored the potential of direct FPGA-to-FPGA communication with a circuit-switched inter-FPGA network that is currently only available for one of the boards. The evaluation with parallel execution on up to 26 FPGA boards makes use of one of the largest academic FPGA installations.</jats:p>}},
  author       = {{Meyer, Marius and Kenter, Tobias and Plessl, Christian}},
  issn         = {{1936-7406}},
  journal      = {{ACM Transactions on Reconfigurable Technology and Systems}},
  keywords     = {{General Computer Science}},
  publisher    = {{Association for Computing Machinery (ACM)}},
  title        = {{{Multi-FPGA Designs and Scaling of HPC Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks}}},
  doi          = {{10.1145/3576200}},
  year         = {{2023}},
}

@inbook{46205,
  abstract     = {{We present a concept for quantifying evaluative phrases to later compare rating texts numerically instead of just relying on stars or grades. We achievethis by combining deep learning models in an aspect-based sentiment analysis pipeline along with sentiment weighting, polarity, and correlation analyses that combine deep learning results with metadata. The results provide new insights for the medical field. Our application domain, physician reviews, shows that there are millions of review texts on the Internet that cannot yet be comprehensively analyzed because previous studies have focused on explicit aspects from other domains (e.g., products). We identify, extract, and classify implicit and explicit aspect phrases equally from German-language review texts. To do so, we annotated aspect phrases representing reviews on numerous aspects of a physician, medical practice, or practice staff. We apply the best performing transformer model, XLM-RoBERTa, to a large physician review dataset and correlate the results with existing metadata. As a result, we can show different correlations between the sentiment polarity of certain aspect classes (e.g., friendliness, practice equipment) and physicians’ professions (e.g., surgeon, ophthalmologist). As a result, we have individual numerical scores that contain a variety of information based on deep learning algorithms that extract textual (evaluative) information and metadata from the Web.}},
  author       = {{Kersting, Joschka and Geierhos, Michaela}},
  booktitle    = {{Data Management Technologies and Applications}},
  editor       = {{Cuzzocrea, Alfredo and Gusikhin, Oleg and Hammoudi, Slimane and Quix, Christoph}},
  isbn         = {{9783031378898}},
  issn         = {{1865-0929}},
  pages        = {{45--65}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews}}},
  doi          = {{10.1007/978-3-031-37890-4_3}},
  volume       = {{1860}},
  year         = {{2023}},
}

@phdthesis{45780,
  author       = {{Tornede, Alexander}},
  title        = {{{Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions}}},
  doi          = {{10.17619/UNIPB/1-1780 }},
  year         = {{2023}},
}

@phdthesis{46296,
  author       = {{Spiess-Bru, Clarissa}},
  title        = {{{Information Asymmetry and Gendered Behavior in Organizations and Digital Markets}}},
  year         = {{2023}},
}

@inproceedings{35014,
  author       = {{Blömer, Johannes and Bobolz, Jan and Bröcher, Henrik}},
  location     = {{Taipeh, Taiwan}},
  title        = {{{On the impossibility of surviving (iterated) deletion of weakly dominated strategies in rational MPC}}},
  year         = {{2023}},
}

@inproceedings{43458,
  author       = {{Blömer, Johannes and Bobolz, Jan and Porzenheim, Laurens Alexander}},
  location     = {{Guangzhou, China}},
  title        = {{{A Generic Construction of an Anonymous Reputation System and Instantiations from Lattices}}},
  year         = {{2023}},
}

@misc{47134,
  author       = {{Deppe, Volker}},
  title        = {{{Routing in Hypergraphs}}},
  year         = {{2023}},
}

@inproceedings{33722,
  author       = {{Müller, Michelle and Neumann, Jürgen}},
  booktitle    = {{Proceedings of the 56th Hawaii International Conference on System Sciences (HICSS)}},
  location     = {{Maui, Hawaii, USA}},
  title        = {{{Bring me my Meal on your Wheel - An Empirical Analysis of the Impact of Food Delivery Platforms on Local Restaurant Employment}}},
  year         = {{2023}},
}

@inproceedings{45193,
  author       = {{Dou, Jinfeng and Götte, Thorsten and Hillebrandt, Henning and Scheideler, Christian and Werthmann, Julian}},
  booktitle    = {{Proc. of the 42nd ACM Symposium on Principles of Distributed Computing (PODC '23)}},
  location     = {{Orlando, USA}},
  title        = {{{Brief Announcement: Distributed Construction of Near-Optimal Compact Routing Schemes for Planar Graphs}}},
  year         = {{2023}},
}

@inproceedings{35083,
  author       = {{Dann, Andreas Peter and Hermann, Ben and Bodden, Eric}},
  title        = {{{UpCy: Safely Updating Outdated Dependencies}}},
  year         = {{2023}},
}

@inproceedings{24579,
  author       = {{Müller, Michelle and Neumann, Jürgen and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS)}},
  location     = {{Maui, Hawaii, USA}},
  title        = {{{Dear Guests, please pay for my license – Analyzing the heterogenous cost-pass-through of commercial and non-commercial rental suppliers in response to regulatory policies}}},
  year         = {{2022}},
}

@inproceedings{24581,
  author       = {{Seutter, Janina and Müller, Michelle and Müller, Stefanie Jutta Marianne and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS)}},
  location     = {{Maui, Hawaii, USA}},
  title        = {{{Moment or Movement – An Empirical Analysis of the Heterogeneous Impact of Media Attention on Charitable Crowdfunding Campaigns}}},
  year         = {{2022}},
}

@inproceedings{27280,
  author       = {{Schoormann, T. and Möller, F. and Szopinski, Daniel}},
  booktitle    = {{Tagungsband der 17. Internationalen Tagung Wirtschaftsinformatik 2022}},
  location     = {{Nürnberg, Germany}},
  title        = {{{Exploring purposes of using taxonomies}}},
  year         = {{2022}},
}