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62 Publications
2023 | Journal Article | LibreCat-ID: 45299
J.-P. Kucklick, “HIEF: a holistic interpretability and explainability framework,” Journal of Decision Systems, pp. 1–41, 2023, doi: 10.1080/12460125.2023.2207268.
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2023 | Conference Paper | LibreCat-ID: 49109 | 
T. Gburrek, J. Schmalenstroeer, and R. Haeb-Umbach, “Spatial Diarization for Meeting Transcription with Ad-Hoc Acoustic Sensor Networks,” presented at the 57th Asilomar Conference on Signals, Systems, and Computers, 2023.
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2023 | Conference Paper | LibreCat-ID: 37312 |
D. Leffrang, K. Bösch, and O. Müller, “Do People Recover from Algorithm Aversion? An Experimental Study of Algorithm Aversion over Time,” presented at the Hawaii International Conference on System Sciences, 2023.
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2023 | Conference Paper | LibreCat-ID: 50479
U. Qudus, M. Röder, S. Kirrane, and A.-C. N. Ngomo, “TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs,” in The Semantic Web – ISWC 2023, Athens, Greece, 2023, vol. 14265, pp. 465–483, doi: 10.1007/978-3-031-47240-4_25.
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2022 | Conference Paper | LibreCat-ID: 27506 |
J.-P. Kucklick, “Visual Interpretability of Image-based Real Estate Appraisal,” presented at the Hawaii International Conference on System Science (HICSS), Virtual, 2022.
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2022 | Conference Paper | LibreCat-ID: 27507 |
T. Heuwinkel, J.-P. Kucklick, and O. Müller, “Using Geolocated Text to Quantify Location in Real Estate Appraisal,” presented at the Hawaii International Conference on System Science (HICSS), Virtual, 2022.
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2022 | Journal Article | LibreCat-ID: 35620
J.-P. Kucklick and O. Müller, “Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning Models for Satellite Image-based Real Estate Appraisal,” ACM Transactions on Management Information Systems, 2022, doi: 10.1145/3567430.
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2022 | Book Chapter | LibreCat-ID: 33849
K. Malena, C. Link, L. Bußemas, S. Gausemeier, and A. Trächtler, “Traffic Estimation and MPC-Based Traffic Light System Control in Realistic Real-Time Traffic Environments,” in Communications in Computer and Information Science, vol. 1612, C. Klein, M. Jarke, M. Helfert, K. Berns, and O. Gusikhin, Eds. Cham: Springer International Publishing, 2022, pp. 232–254.
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2021 | Conference Paper | LibreCat-ID: 22532
S. Lange, C. Hedayat, H. Kuhn, and U. Hilleringmann, “Adaptation and Optimization of Planar Coils for a More Accurate and Far-Reaching Magnetic Field-Based Localization in the Near Field,” in 2021 Smart Systems Integration (SSI), Grenoble, France , 2021.
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2021 | Conference Paper | LibreCat-ID: 24547
O. Müller, M. Caron, M. Döring, T. Heuwinkel, and J. Baumeister, “PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking Data,” presented at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML PKDD 2021), Online.
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2021 | Conference Paper | LibreCat-ID: 27111 |
O. K. Aimiyekagbon, L. Muth, M. C. Wohlleben, A. Bender, and W. Sextro, “Rule-based Diagnostics of a Production Line,” in Proceedings of the European Conference of the PHM Society 2021, 2021, vol. 6, no. 1, pp. 527–536, doi: 10.36001/phme.2021.v6i1.3042.
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2021 | Journal Article | LibreCat-ID: 48854
J. Bossek, F. Neumann, P. Peng, and D. Sudholt, “Time Complexity Analysis of Randomized Search Heuristics for the Dynamic Graph Coloring Problem,” Algorithmica, vol. 83, no. 10, pp. 3148–3179, 2021, doi: 10.1007/s00453-021-00838-3.
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2020 | Conference Paper | LibreCat-ID: 17810
O. K. Aimiyekagbon, A. Bender, and W. Sextro, “Evaluation of time series forecasting approaches for the reliable crack length prediction of riveted aluminium plates given insufficient data,” in PHM Society European Conference, 2020, vol. 5, no. 1.
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2020 | Conference Paper | LibreCat-ID: 48847
J. Bossek, F. Neumann, P. Peng, and D. Sudholt, “More Effective Randomized Search Heuristics for Graph Coloring through Dynamic Optimization,” in Proceedings of the Genetic and Evolutionary Computation Conference, 2020, pp. 1277–1285, doi: 10.1145/3377930.3390174.
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2020 | Conference Paper | LibreCat-ID: 48851
J. Bossek, K. Casel, P. Kerschke, and F. Neumann, “The Node Weight Dependent Traveling Salesperson Problem: Approximation Algorithms and Randomized Search Heuristics,” in Proceedings of the Genetic and Evolutionary Computation Conference, 2020, pp. 1286–1294, doi: 10.1145/3377930.3390243.
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2020 | Journal Article | LibreCat-ID: 17156
D. Beverungen et al., “Seven Paradoxes of Business Process Management in a Hyper-Connected World,” Business & Information Systems Engineering, vol. 63, pp. 145–156, 2020, doi: 10.1007/s12599-020-00646-z.
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2019 | Conference Paper | LibreCat-ID: 48843
J. Bossek, F. Neumann, P. Peng, and D. Sudholt, “Runtime Analysis of Randomized Search Heuristics for Dynamic Graph Coloring,” in Proceedings of the Genetic and Evolutionary Computation Conference, 2019, pp. 1443–1451, doi: 10.1145/3321707.3321792.
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2018 | Working Paper | LibreCat-ID: 46544
C. Bünnings and V. Schiele, Spring forward, don’t fall back: The effect of daylight saving time on road safety, vol. 768. RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, 2018.
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2017 | Conference Paper | LibreCat-ID: 1156
J. Kersting, M. Geierhos, H. Jung, and T. Kim, “Internet of Things Architecture for Handling Stream Air Pollution Data,” in Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security, Porto, Portugal, 2017, pp. 117–124.
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