• 2023
  • article
E. S. Knop, M. Pauly, T. Friede and T. Welz The consequences of neglected confounding and interactions in mixed-effects meta-regression: An illustrative exampleResearch Synthesis Methods, 2023. Wiley Online Library.
[DOI]
  • article
V. Medina-Olivares, S. Lessmann and N. KleinThe Deep Promotion Time Cure Model Jun. 2023. arXiv.
[DOI]
  • inbook
A. Baudzus, B. Li, A. Jadid and E. MüllerThe Good, The Bad, and The Average: Benchmarking of Reconstruction Based Multivariate Time Series Anomaly Detection in Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, Springer Nature Switzerland, 2023, pp. 356—360.
[DOI]
  • article
E. S. Knop, M. Pauly, T. Friede and T. Welz The impact of neglected confounding and interactions in mixed-effects meta-regression Jan. 2023. arXiv.
[DOI]
  • inproceedings
D. Neider and T. T. Johnson Track C1: Safety Verification of Deep Neural Networks (DNNs) in Bridging the Gap Between AI and Reality - First International Conference, AISoLA 2023, Crete, Greece, October 23-28, 2023, Proceedings, Bernhard Steffen, Eds. Springer, 2023, pp. 217—224.
[DOI]
  • article
L. Schmid, A. Gerharz, A. Groll and M. PaulyTree-based ensembles for multi-output regression: Comparing multivariate approaches with separate univariate onesComputational Statistics & Data Analysis, vol. 179, pp. 107628, Mar. 2023.
[DOI]
  • article
L. Kock and N. KleinTruly Multivariate Structured Additive Distributional Regression Jun. 2023. arXiv.
[DOI]
  • article
Y. Meier, A. Oeldorf-Hirsch and N. C. KrämerWho Is Targeting Me? Privacy Perceptions of and Responses to Commercial and Political Targeted Advertising on Social MediaJournal of Advertising, pp. 1—18, Dec. 2023. Informa UK Limited.
[DOI]
  • 2022
  • article
S. Basak, M. Pauly and S. Kumar Adaptive tests for ANOVA in Fisher-von Mises-Langevin populations under heteroscedasticityComputational Statistics, Oct. 2022.
[DOI]
  • article
J. Moosbauer, M. Binder, L. Schneider, F. Pfisterer, M. Becker, M. Lang, L. Kotthoff and B. Bischl Automated Benchmark-Driven Design and Explanation of Hyperparameter OptimizersIEEE Transactions on Evolutionary Computation, vol. 26, no. 6, pp. 1336—1350, Dec. 2022.
[DOI]
  • incollection
M. Wischnewski and N. KrämerCan AI Reduce Motivated Reasoning in News Consumption? Investigating the Role of Attitudes Towards AI and Prior-Opinion in Shaping Trust Perceptions of News in HHAI2022: Augmenting Human Intellect, IOS Press, Sep. 2022.
[DOI]
  • inproceedings
B. Li, C. Balestra and E. MüllerEnabling the Visualization of Distributional Shift using Shapley Values in NeurIPS 2022 Workshop on Distribution Shifts: Connecting Methods and Applications, 2022.
[URL]
  • article
M. Kertel and M. PaulyEstimating Gaussian Copulas with Missing Data with and without Expert KnowledgeEntropy, vol. 24, no. 12, pp. 1849, Dec. 2022.
[DOI]
  • inproceedings
M. Kertel, S. Harmeling and M. PaulyLearning Causal Graphs in Manufacturing Domains using Structural Equation Models in 2022 5th International Conference on Artificial Intelligence for Industries (AI4I), Ieee, Sep. 2022, pp. 14—19.
[DOI]
  • inproceedings
B. Böing, F. Howar, J. Hüntelmann, E. Müller and R. Stewing Neural Network Verification with DSE in Short Paper Proceedings of the 4th Workshop on Artificial Intelligence and Formal Verification, Logic, Automata, and Synthesis hosted by the 21st International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022), Udine, Italy, November 28, 2022, Luca Geatti and Guido Sciavicco and Alessandro Umbrico, Eds. CEUR-WS.org, 2022, pp. 1—6.
[URL]
  • inproceedings
B. Böing, S. Klüttermann and E. MüllerPost-Robustifying Deep Anomaly Detection Ensembles by Model Selection in 2022 IEEE International Conference on Data Mining (ICDM), IEEE, Nov. 2022, pp. 861—866.
[DOI]
  • inproceedings
D. Kaminskyi, B. Li and E. MüllerReconstruction-based unsupervised drift detection over multivariate streaming data in 2022 IEEE International Conference on Data Mining Workshops (ICDMW), 2022, pp. 807—813.
[DOI]
  • article
L. Schaewitz, A. J. Flanagin, T. Hoss, L. Kölmel, M. J. Metzger, S. Winter and N. C. KrämerSocial Sharing of Political Disinformation: Effects of Tie Strength, Message Valence, and Corrective Information on Evaluations of Political FiguresWestern Journal of Communication, vol. 87, no. 2, pp. 173—195, Aug. 2022. Informa UK Limited.
[DOI]
  • inproceedings
S. Klüttermann, J. Rutinowski, C. Reining, M. Roidl and E. MüllerTowards Graph Representation based Re-Identification of Chipwood Pallet Blocks in 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), IEEE, Dec. 2022, pp. 1543—1550.
[DOI]
  • inbook
C. Newen and E. MüllerUnsupervised DeepView: Global Explainability of Uncertainties for High Dimensional Data in 2022 IEEE International Conference on Knowledge Graph (ICKG), IEEE, Nov. 2022, pp. 196—202.
[DOI]
  • inbook
C. Newen and E. MüllerUnsupervised DeepView: Global Uncertainty Visualization for High Dimensional Data in 2022 IEEE International Conference on Data Mining Workshops (ICDMW), IEEE, Nov. 2022, pp. 1—8.
[DOI]
  • inproceedings
C. Balestra, F. Huber, A. Mayr and E. MüllerUnsupervised Features Ranking via Coalitional Game Theory for Categorical Data in International Conference on Big Data Analytics and Knowledge Discovery, Wrembel, Robert and Gamper, Johann and Kotsis, Gabriele and Tjoa, A. Min and Khalil, Ismail, Eds. Springer International Publishing, 2022, pp. 97—111.
[DOI]
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