• 2023
  • article
S. Friedrich, A. Groll, K. Ickstadt, T. Kneib, M. Pauly, J. Rahnenführer and T. Friede Regularization approaches in clinical biostatistics: A review of methods and their applicationsStatistical Methods in Medical Research, vol. 32, no. 2, pp. 425—440, 2023. SAGE Publications Sage UK: London, England.
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  • inproceedings
Y. Paliwal, R. Roy, J. Gaglione, N. Baharisangari, D. Neider, X. Duan, U. Topcu and Z. Xu Reinforcement Learning with Temporal-Logic-Based Causal Diagrams in Machine Learning and Knowledge Extraction - 7th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2023, Benevento, Italy, August 29 - September 1, 2023, Proceedings, Andreas Holzinger and Peter Kieseberg and Federico Cabitza and Andrea Campagner and A Min Tjoa and Edgar Weippl, Eds. Springer, 2023, pp. 123—140.
[DOI]
  • inproceedings
A. Murano, D. Neider and M. Zimmermann Robust Alternating-Time Temporal Logic in Logics in Artificial Intelligence - 18th European Conference, JELIA 2023, Dresden, Germany, September 20-22, 2023, Proceedings, Sarah Alice Gaggl and Maria Vanina Martinez and Magdalena Ortiz, Eds. Springer, 2023, pp. 796—813.
[DOI]
  • inbook
L. Kuhlmann, D. Wilmes, E. Müller, M. Pauly and D. Horn RODD: Robust Outlier Detection in Data Cubes in Lecture Notes in Computer Science, Springer Nature Switzerland, 2023, pp. 325—339.
[DOI]
  • inproceedings
L. Kuhlmann, D. Wilmes, E. Müller, M. Pauly and D. Horn RODD: Robust Outlier Detection in Data Cubes in Lecture Notes in Computer Science, Springer Nature Switzerland, 2023, pp. 325—339.
[DOI]
  • article
N. Umlauf, JohannesSeiler, M. Wetscher, T. Simon, S. Lang and N. KleinScalable Estimation for Structured Additive Distributional RegressionArXiv, Jan. 2023. arXiv.
[DOI]
  • inproceedings
E. Celikkan, M. Saberioon, M. Herold and N. KleinSemantic Segmentation of Crops and Weeds with Probabilistic Modeling and Uncertainty Quantification in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, IEEE, Oct. 2023, pp. 582—592.
[DOI]
  • inproceedings
C. Balestra, B. Li and E. MüllerslidSHAPs — sliding Shapley Values for correlation-based change detection in time series in 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA), IEEE, Oct. 2023.
[DOI]
  • inproceedings
S. Lutz, D. Neider and R. Roy Specification Sketching for Linear Temporal Logic in Automated Technology for Verification and Analysis - 21st International Symposium, ATVA 2023, Singapore, October 24-27, 2023, Proceedings, Part II, Étienne André and Jun Sun, Eds. Springer, 2023, pp. 26—48.
[DOI]
  • article
T. Ngo, M. Wischnewski, R. Bernemann, M. Jansen and N. KrämerSpot the bot: Investigating user's detection cues for social bots and their willingness to verify Twitter profilesComputers in Human Behavior, vol. 146, pp. 107819, Sep. 2023. Elsevier BV.
[DOI]
  • inproceedings
B. Li and E. MüllerState-Transition-Aware Anomaly Detection Under Concept Drifts in Big Data Analytics and Knowledge Discovery, Wrembel, Robert and Gamper, Johann and Kotsis, Gabriele and Tjoa, A. Min and Khalil, Ismail, Eds. Springer Nature Switzerland, 2023, pp. 49—63.
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  • article
A. Mondal, M. Pauly and S. Kumar Testing for ordered alternatives in heteroscedastic ANOVA under normalityStatistical Papers, vol. 64, no. 6, pp. 1913—1941, 2023.
[DOI]
  • article
P. Sattler and M. PaulyTesting Hypotheses about Correlation Matrices in General MANOVA DesignsTest, pp. 1—23, 2023.
[DOI]
  • inproceedings
L. Steinmeister, B. Ramosaj, L. Schröter and M. PaulyTesting The Limits: A Robustness Analysis Of Logistic Growth Models For Life Cycle Estimation During The COVID-19 Pandemic in Proceedings of the Conference on Production Systems and Logistics: CPSL 2023, 2023, pp. 33—44.
[DOI]
  • 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 ModelArXiv, 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]
  • inproceedings
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-regressionArXiv, 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 RegressionArXiv, 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]
  • inproceedings
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.
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