Publications

L. Amro, F. Konietschke and M. PaulyIncompletely observed nonparametric factorial designs with repeated measurements: A wild bootstrap approachBiometrical Journal, vol. 66, no. 8, 2024.

[DOI]

L. Mühl, L. Stecker, E. Herter, J. M. Szczuka, M. Wischnewski and N. KrämerIntegrating AI in Psychotherapy: An Investigation of Trust in Voicebot Therapists in Nordic Conference on Human-Computer Interaction, ACM, Oct. 2024, pp. 1—9.

[DOI]

S. Lutz and D. NeiderInterpretable Machine Learning via Linear Temporal LogicDataNinja sAIOnARA Conference, 2024. DataNinja sAIOnARA Conference.

[DOI]

L. Held and I. HabernalLaCour!: enabling research on argumentation in hearings of the European Court of Human RightsArtificial Intelligence and Law, Nov. 2024. Springer Science and Business Media LLC.

[DOI]

B. Bordais, D. Neider and R. Roy Learning Branching-Time Properties in CTL and ATL via Constraint Solving in Formal Methods, Springer Nature Switzerland, Sep. 2024, pp. 304—323.

[DOI]

J. M. Szczuka, A. C. Horstmann, N. Szymczyk, C. Strathmann, A. Artelt, L. Mavrina and N. KrämerLet Me Explain What I Did or What I Would Have Done: An Empirical Study on the Effects of Explanations and Person-Likeness on Trust in and Understanding of Algorithms in Nordic Conference on Human-Computer Interaction, ACM, Oct. 2024, pp. 1—13.

[DOI]

A. Schenk, V. Klockmann, J. Bonnefon, I. Rahwan and N. KöbisLie detection algorithms disrupt the social dynamics of accusation behavioriScience, vol. 27, no. 7, pp. 110201, Jun. 2024. Elsevier BV.

[DOI]

S. Klüttermann, C. Balestra and E. MüllerOn the Efficient Explanation of Outlier Detection Ensembles Through Shapley Values in Advances in Knowledge Discovery and Data Mining, Springer Nature Singapore, 2024, pp. 43—55.

[DOI]

E. Puschner, M. Ender, S. Becker and C. Paar Patching FPGAs: The Security Implications of Bitstream Modifications in Proceedings of the 2024 Workshop on Attacks and Solutions in Hardware Security, New York, NY, USA: Association for Computing Machinery, 2024, pp. 89—99.

[DOI]

H. Leutheuser, M. Bartholet, A. Marx, M. Pfister, M. Burckhardt, S. Bachmann and J. E. Vogt Predicting Risk for Nocturnal Hypoglycemia after Physical Activity in Children with Type 1 DiabetesFrontiers in Medicine, vol. 11, Aug. 2024. Frontiers.

[DOI]

T. Katzke, S. Lutz, E. Müller and D. NeiderProvable Guarantees for Deep Learning-Based Anomaly Detection through Logical ConstraintsDataNinja sAIOnARA Conference, 2024. DataNinja sAIOnARA Conference.

[DOI]

M. Baumeister, M. Ditzhaus and M. PaulyQuantile-based MANOVA: A new tool for inferring multivariate data in factorial designsJournal of Multivariate Analysis, vol. 199, pp. 105246, Jan. 2024. Elsevier.

[DOI]

N. R. Nair, L. Schmid, C. Reining, F. Moya Rueda, M. Pauly and G. A. Fink Representation Biases in Time-Series Human Activity Recognition with Small Sample Sizes in Pattern Recognition, Springer Nature Switzerland, Dec. 2024, pp. 33—48.

[DOI]

C. Starke, A. Ventura, C. Bersch, M. Cha, C. Vreese, P. Doebler, M. Dong, N. Krämer, M. Leib, J. Peter, L. Schäfer, I. Soraperra, J. Szczuka, E. Tuchtfeld, R. Wald and N. KöbisRisks and protective measures for synthetic relationshipsNature Human Behaviour, vol. 8, no. 10, pp. 1834—1836, Oct. 2024. Springer Science and Business Media LLC.

[DOI]

M. Munko, M. Ditzhaus, D. Dobler and J. Genuneit RMST-based multiple contrast tests in general factorial designsStatistics in Medicine, vol. 43, no. 10, pp. 1849—1866, Feb. 2024. Wiley.

[DOI]

R. Raha, R. Roy, N. Fijalkow and D. NeiderScarlet: Scalable Anytime Algorithms for Learning Fragments of Linear Temporal LogicJournal Open Source Software, vol. 9, no. 93, pp. 5052, 2024.

[DOI]

E. Kallina and J. SinghStakeholder Involvement for Responsible AI Development: A Process Framework in Proceedings of the 4th ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, ACM, Oct. 2024, pp. 1—14.

[DOI]

J. Feifel and M. PaulyStatistics and the Maximum Human Lifespan in Statistics Today: Everyday Applications, Research Questions, Insights, and Challenges, Springer, 2024, pp. 55—61.

[DOI]

R. Raha, R. Roy, N. Fijalkow, D. Neider and G. A. Pérez Synthesizing Efficiently Monitorable Formulas in Metric Temporal Logic in Verification, Model Checking, and Abstract Interpretation - 25th International Conference, VMCAI 2024, London, United Kingdom, January 15-16, 2024, Proceedings, Part II, Rayna Dimitrova and Ori Lahav and Sebastian Wolff, Eds. Springer, 2024, pp. 264—288.

[DOI]

A. Mondal, M. Pauly and S. Kumar Testing against ordered alternatives in one-way ANOVA model with exponential errorsAnnals of the Institute of Statistical Mathematics, pp. 1—30, 2024. Springer.

[DOI]

J. Rutinowski, S. Franke, J. Endendyk, I. Dormuth, M. Roidl and M. PaulyThe self-perception and political biases of ChatGPTHuman Behavior and Emerging Technologies, vol. 2024, 2024. Hindawi.

[DOI]

L. Westhofen, C. Neurohr, J. C. Jung and D. NeiderTopllet: An Optimized Engine for Answering Metric Temporal Conjunctive Queries in NASA Formal Methods - 16th International Symposium, NFM 2024, Moffett Field, CA, USA, June 4-6, 2024, Proceedings, Nathaniel Benz and Divya Gopinath and Nija Shi, Eds. Springer, 2024, pp. 314—321.

[DOI]

L. Schmid, D. Biebert, C. Hakert, K. Chen, M. Lang, M. Pauly and J. Chen TREE: Tree Regularization for Efficient ExecutionArXiv, 2024.

[DOI]

M. Ramrath, A. Scharmann, A. Ridder, T. Kühn, S. Weller and N. KrämerTrust in AI Chatbots: The Perceived Expertise of ChatGPT in Subjective and Objective Tasks in HHAI 2024: Hybrid Human AI Systems for the Social Good, IOS Press, Jun. 2024.

[DOI]

M. Schaef, B. Cirisci, L. Luo, M. N. Mansur, O. Tripp, D. Sanchez, Q. Zhou and M. B. ZafarUnderstanding Developer-Analyzer Interactions in Code Reviews in Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, ACM, Oct. 2024, pp. 1945—1955.

[DOI]

P. Buczak, A. Groll, M. Pauly, J. Rehof and D. Horn Using sequential statistical tests for efficient hyperparameter tuningAStA Advances in Statistical Analysis, pp. 1—20, 2024. Springer.

[DOI]

M. Kertel, S. Harmeling, M. Pauly and N. KleinLearning Causal Graphs in Manufacturing Domains Using Structural Equation ModelsInternational Journal of Semantic Computing, vol. 17, no. 04, pp. 511—528, Jul. 2023. World Scientific Pub Co Pte Ltd.

[DOI]

B. Schmidt, C. Sers and N. KleinBannMI deciphers potential n-to-1 information transduction in signaling pathways to unravel message of intrinsic apoptosisBioinformatics Advances, vol. 4, no. 1, Nov. 2023. Oxford University Press (OUP).

[DOI]

J. Rathjens, A. Kolbe, J. Hölzer, K. Ickstadt and N. KleinBivariate Analysis of Birth Weight and Gestational Age by Bayesian Distributional Regression with CopulasStatistics in Biosciences, vol. 16, no. 1, pp. 290—317, Oct. 2023. Springer Science and Business Media LLC.

[DOI]

A. Baudzus, B. Li, A. Jadid and E. MüllerOn Model Performance Estimation in Time Series Anomaly Detection in Proceedings of the 2023 6th International Conference on Computational Intelligence and Intelligent Systems, ACM, Nov. 2023.

[DOI]

T. Kutzker, N. Klein and D. Wied Flexible specification testing in quantile regression modelsScandinavian Journal of Statistics, vol. 51, no. 1, pp. 355—383, Aug. 2023. Wiley.

[DOI]

N. Klein, M. Smith and D. Nott Deep distributional time series models and the probabilistic forecasting of intraday electricity pricesJournal of Applied Econometrics, vol. 38, no. 4, pp. 493—511, Mar. 2023. Wiley.

[DOI]

M. Schmid, T. Friede, N. Klein and L. Weinhold Accounting for time dependency in meta-analyses of concordance probability estimatesResearch Synthesis Methods, vol. 14, no. 6, pp. 807—823, Jul. 2023. Wiley.

[DOI]

D. Rügamer, C. Kolb and N. KleinSemi-Structured Distributional RegressionThe American Statistician, vol. 78, no. 1, pp. 88—99, Feb. 2023. Informa UK Limited.

[DOI]

V. Alarcón-Segura, S. Roilo, A. Paulus, M. Beckmann, N. Klein and A. F. Cord Farm structure and environmental context drive farmers' decisions on the spatial distribution of ecological focus areas in GermanyLandscape Ecology, vol. 38, no. 9, pp. 2293—2305, Jul. 2023. Springer Science and Business Media LLC.

[DOI]

S. Klüttermann, J. Rutinowski, A. Nguyen, C. Reining, M. Roidl and E. MüllerOn Graph Representation based Re-Identification — A Proof of Concept in 2023 IEEE International Conference on Data Mining Workshops (ICDMW), IEEE, Dec. 2023.

[DOI]

I. Dormuth, T. Liu, J. Xu, M. Pauly and M. Ditzhaus A comparative study to alternatives to the log-rank testContemporary Clinical Trials, vol. 128, pp. 107165, May 2023.

[DOI]

H. Decker, N. E. Cetinkaya and N. KrämerA Cross-National Evaluation of a Value-Based Measure of Political Orientation (POS)PsyArXiv Preprints, Jun. 2023. Center for Open Science.

[DOI]

L. Kuhlmann and M. PaulyA Dynamic Systems Model for an Economic Evaluation of Sales Forecasting MethodsTehnički glasnik, vol. 17, no. 3, pp. 397—404, Jul. 2023. University North.

[DOI]

Y. Meier and N. KrämerA longitudinal examination of Internet users' privacy protection behaviors in relation to their perceived collective value of privacy and individual privacy concernsNew Media & Society, pp. 146144482211427, Jan. 2023. SAGE Publications.

[DOI]

A. Razen, W. Brunauer, N. Klein, T. Kneib, S. Lang and N. Umlauf A multilevel analysis of real estate valuation using distributional and quantile regressionStatistical Modelling, Apr. 2023. SAGE Publications.

[DOI]

A. C. Horstmann, C. Strathmann, L. Lambrich and N. C. KrämerAlexa, What's Inside of You: A Qualitative Study to Explore Users' Mental Models of Intelligent Voice Assistants in Proceedings of the 23rd ACM International Conference on Intelligent Virtual Agents, ACM, Sep. 2023.

[DOI]

P. Buczak, J. Chen and M. PaulyAnalyzing the Effect of Imputation on Classification Performance under MCAR and MAR Missing MechanismsEntropy, vol. 25, no. 3, pp. 521, Mar. 2023.

[DOI]

M. Jansen and N. C. KrämerBalancing perceptions of targeting: An investigation of political microtargeting transparency through a calculus approachPLOS ONE, vol. 18, no. 12, pp. e0295329, Dec. 2023. Public Library of Science (PLoS).

[DOI]

M. Carlan, T. Kneib and N. KleinBayesian Conditional Transformation ModelsJournal of the American Statistical Association, pp. 1—14, May 2023.

[DOI]

A. Strömer, N. Klein, C. Staerk, H. Klinkhammer and A. Mayr Boosting multivariate structured additive distributional regression modelsStatistics in Medicine, vol. 42, no. 11, pp. 1779—1801, Mar. 2023. Wiley.

[DOI]

S. Friedrich, F. Konietschke and M. PaulyBootstrap und Permutationsverfahren für biometrische Inferenz in Moderne Verfahren der Angewandten Statistik, Springer, 2023, pp. 1—22.

[DOI]

L. B. Suchmann, N. Krämer and J. Ziegler Branching Preferences: Visualizing Non-linear Topic Progression in Conversational Recommender Systems in Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, ACM, Jun. 2023.

[DOI]

T. Welz, W. Viechtbauer and M. PaulyCluster-robust estimators for multivariate mixed-effects meta-regressionComputational Statistics & Data Analysis, vol. 179, pp. 107631, Mar. 2023.

[DOI]

B. Ramosaj and M. PaulyConsistent and unbiased variable selection under indepedent features using Random Forest permutation importanceBernoulli, vol. 29, no. 3, pp. 2101—2118, 2023. Bernoulli Society for Mathematical Statistics and Probability.

[DOI]

G. Schmitz, D. Wilmes, A. Gerharz, D. Horn and E. MüllerContextual Shift Method (CSM) in Lecture Notes in Computer Science, Springer Nature Switzerland, 2023, pp. 101—106.

[DOI]

B. Li and E. MüllerContrastive Time Series Anomaly Detection by Temporal Transformations in 2023 International Joint Conference on Neural Networks (IJCNN), IEEE, Jun. 2023.

[DOI]

N. R. Nair, L. Schmid, F. M. Rueda, M. Pauly, G. A. Fink and C. Reining Dataset Bias in Human Activity RecognitionArXiv, Jan. 2023. arXiv.

[DOI]

V. Medina-Olivares and R. Calabrese Detecting Consumers' Financial Vulnerability using Open Banking Data: Evidence from UK Payday LoansArXiv, May 2023. arXiv.

[DOI]

Y. Meier and N. KrämerDifferences in Access to Privacy Information Can Partly Explain Digital Inequalities in Privacy Literacy and Self-EfficacyPsyArXiv Preprints, Jul. 2023. Center for Open Science.

[DOI]

T. Igamberdiev and I. HabernalDP-BART for Privatized Text Rewriting under Local Differential Privacy in Findings of the Association for Computational Linguistics: ACL 2023, Rogers, Anna and Boyd-Graber, Jordan and Okazaki, Naoaki, Eds. Toronto, Canada: Association for Computational Linguistics, Jul. 2023, pp. 13914—13934.

[DOI]

B. L. Schwienhorst, L. Kock, D. J. Nott and N. KleinDropout Regularization in Extended Generalized Linear Models based on Double Exponential FamiliesArXiv, 2023. arXiv.

[DOI]

S. Wilker, V. Vukojevic, A. Schneider, A. Pfeiffer, S. Inerle, M. Pauly, T. Elbert, A. Papassotiropoulos, D. Quervain and I. Kolassa Epigenetics of traumatic stress: The association of NR3C1 methylation and posttraumatic stress disorder symptom changes in response to narrative exposure therapyTranslational Psychiatry, vol. 13, no. 1, pp. 14, 2023. Nature Publishing Group UK London.

[DOI]

S. Klüttermann and E. MüllerEvaluating and Comparing Heterogeneous Ensemble Methods for Unsupervised Anomaly Detection in 2023 International Joint Conference on Neural Networks (IJCNN), IEEE, Jun. 2023, pp. 1—8.

[DOI]

N. C. Krämer and J. M. SzczukaExperiments in Human-Machine in The SAGE Handbook of Human—Machine Communication, Andrea L. Guzman and Rhonda McEwen and Steve Jones, Eds. SAGE, 2023.

[URL]

K. Borys, Y. A. Schmitt, M. Nauta, C. Seifert, N. Krämer, C. M. Friedrich and F. Nensa Explainable AI in medical imaging: An overview for clinical practitioners — Beyond saliency-based XAI approachesEuropean Journal of Radiology, vol. 162, pp. 110786, May 2023. Elsevier BV.

[DOI]

E. Bitsikas, T. Schnitzler, C. Pöpper and A. Ranganathan Freaky Leaky SMS: Extracting User Locations by Analyzing SMS TimingsArXiv, 2023. arXiv.

[DOI]

M. Munko, M. Ditzhaus, M. Pauly, Ł. Smaga and J. Zhang General multiple tests for functional dataArXiv, Jun. 2023. arXiv.

[DOI]

A. Tsitsulin, J. Palowitch, B. Perozzi and E. MüllerGraph Clustering with Graph Neural NetworksJournal of Machine Learning Research, vol. 24, no. 127, pp. 1—21, 2023.

[URL]

F. Zargar, L. Frentzel-Beyme, E. Lewers, B. Koczy and N. Krämerhistagram: Investigating Emotions in Historical Representations on InstagramPsyArXiv Preprints, May 2023. PsyArXiv.

[DOI]

L. Frentzel-Beyme and N. C. KrämerHistorical time machines: Experimentally investigating potentials and impacts of immersion in historical VR on history education and morality.Technology, Mind, and Behavior, vol. 4, no. 1, Feb. 2023. American Psychological Association (APA).

[DOI]

T. Schnitzler, K. Kohls, E. Bitsikas and C. Pöpper Hope of Delivery: Extracting User Locations From Mobile Instant Messengers in Proceedings 2023 Network and Distributed System Security Symposium, Internet Society, 2023.

[DOI]

M. Thurow, I. Dormuth, C. Sauer, M. Ditzhaus and M. PaulyHow to Simulate Realistic Survival Data? A Simulation Study to Compare Realistic Simulation ModelsArXiv, 2023. arXiv.

[DOI]

B. Bischl, M. Binder, M. Lang, T. Pielok, J. Richter, S. Coors, J. Thomas, T. Ullmann, M. Becker, A. Boulesteix, D. Deng and M. Lindauer Hyperparameter optimization: Foundations, algorithms, best practices, and open challengesWIREs Data Mining and Knowledge Discovery, Jan. 2023.

[DOI]

M. Wischnewski and A. Wermter Is Foreign Language News More or Less Credible Than Native Language News? Examining the Foreign Language Effect on Credibility Perceptions in Disinformation in Open Online Media, Springer Nature Switzerland, 2023, pp. 175—189.

[DOI]

H. Decker and N. KrämerIs Personality Key? Persuasive Effects of Prior Attitudes and Personality in Political MicrotargetingMedia and Communication, vol. 11, no. 3, pp. 250—261, Aug. 2023. Cogitatio.

[DOI]

R. Roy, J. Gaglione, N. Baharisangari, D. Neider, Z. Xu and U. Topcu Learning Interpretable Temporal Properties from Positive Examples Only in Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023, Brian Williams and Yiling Chen and Jennifer Neville, Eds. AAAI Press, 2023, pp. 6507—6515.

[URL]

M. Wischnewski, N. Krämer and E. MüllerMeasuring and Understanding Trust Calibrations for Automated Systems: A Survey of the State-Of-The-Art and Future Directions in Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery, Apr. 2023.

[DOI]

A. Küper, G. Lodde, E. Livingstone, D. Schadendorf and N. KrämerMitigating cognitive bias with clinical decision support systems: an experimental studyJournal of Decision Systems, pp. 1—20, Aug. 2023. Informa UK Limited.

[DOI]

F. Karl, T. Pielok, J. Moosbauer, F. Pfisterer, S. Coors, M. Binder, L. Schneider, J. Thomas, J. Richter, M. Lang, E. C. Garrido-Merchán, J. Branke and B. Bischl Multi-Objective Hyperparameter Optimization in Machine Learning - An OverviewACM Transactions on Evolutionary Learning and Optimization, vol. 3, no. 4, pp. 1—50, Dec. 2023. Association for Computing Machinery (ACM).

[DOI]

C. Balestra, B. Li and E. MüllerOn the Consistency and Robustness of Saliency Explanations for Time Series ClassificationArXiv, Sep. 2023. arXiv.

[DOI]

C. Newen and E. MüllerOn the Independence of Adversarial Transferability to Topological Changes in the Dataset in 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA), IEEE, Oct. 2023.

[DOI]

L. Frentzel-Beyme, M. Holtze, J. M. Szczuka and N. KrämerPosting from the PastWeizenbaum Journal, Jul. 2023. Weizenbaum Institute for the Networked Society - The German Internet Institute.

[DOI]

N. C. Krämer and J. M. SzczukaPrivacy in Interactions with Machines and Intelligent Systems in The Routledge Handbook of Privacy and Social Media, Trepte, Sabine and Masur, Philipp, Eds. Routledge, 2023, pp. 217—226.

[DOI]

C. Balestra, C. Maj, E. Müller and A. Mayr Redundancy-aware unsupervised ranking based on game theory: Ranking pathways in collections of gene setsPlos One, vol. 18, no. 3, pp. e0282699, Mar. 2023.

[DOI]

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.

[DOI]

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]

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]

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]

N. Umlauf, JohannesSeiler, M. Wetscher, T. Simon, S. Lang and N. KleinScalable Estimation for Structured Additive Distributional RegressionArXiv, Jan. 2023. arXiv.

[DOI]

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]

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]

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]

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]

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.

[DOI]

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]

P. Sattler and M. PaulyTesting Hypotheses about Correlation Matrices in General MANOVA DesignsTest, pp. 1—23, 2023.

[DOI]

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]

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, vol. 14, no. 4, pp. 647—651, Jun. 2023. Wiley Online Library.

[DOI]

V. Medina-Olivares, S. Lessmann and N. KleinThe Deep Promotion Time Cure ModelArXiv, Jun. 2023. arXiv.

[DOI]

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]

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]

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]

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]

L. Kock and N. KleinTruly Multivariate Structured Additive Distributional RegressionArXiv, Jun. 2023. arXiv.

[DOI]