• 2024
  • book
B. Bischl, R. Sonabend, L. Kotthoff and M. LangApplied Machine Learning Using Mlr3 in R 1st ed. Milton: CRC Press LLC, 2024.
[URL]
  • article
M. Thurow, F. Dumpert, B. Ramosaj and M. PaulyAssessing the multivariate distributional accuracy of common imputation methodsStatistical Journal of the IAOS, vol. 40, no. 1, pp. 99—108, 2024. IOS Press.
[DOI]
  • article
T. Emura, M. Ditzhaus, D. Dobler and K. Murotani Factorial survival analysis for treatment effects under dependent censoringStatistical Methods in Medical Research, vol. 33, no. 1, pp. 61—79, 2024.
[DOI]
  • article
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]
  • article
M. Munko, M. Ditzhaus, D. Dobler and J. Genuneit RMST-based multiple contrast tests in general factorial designsStatistics in Medicine, vol. early view, pp. 1—18, 2024.
[DOI]
  • article
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]
  • inproceedings
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]
  • article
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]
  • article
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]
  • article
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]
  • 2023
  • article
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]
  • article
H. Decker, N. E. Cetinkaya and N. KrämerA Cross-National Evaluation of a Value-Based Measure of Political Orientation (POS) Jun. 2023. Center for Open Science.
[DOI]
  • article
L. Kuhlmann and M. PaulyA Dynamic Systems Model for an Economic Evaluation of Sales Forecasting MethodsTehnički glasnik, vol. 17, no. 3, pp. 397—404, 2023. Sveučilište Sjever.
[DOI]
  • article
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]
  • article
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]
  • inproceedings
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]
  • article
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]
  • article
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]
  • article
M. Carlan, T. Kneib and N. KleinBayesian Conditional Transformation ModelsJournal of the American Statistical Association, pp. 1—14, May 2023.
[DOI]
  • article
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]
  • incollection
S. Friedrich, F. Konietschke and M. PaulyBootstrap und Permutationsverfahren für biometrische Inferenz in Moderne Verfahren der Angewandten Statistik, Springer, 2023, pp. 1—22.
[DOI]
  • inproceedings
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]
  • article
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]
  • article
L. Schmid, M. Roidl and M. PaulyComparing statistical and machine learning methods for time series forecasting in data-driven logistics — A simulation study Mar. 2023. arXiv.
[DOI]
  • article
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]
  • inbook
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]
  • inproceedings
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]
  • article
N. R. Nair, L. Schmid, F. M. Rueda, M. Pauly, G. A. Fink and C. Reining Dataset Bias in Human Activity Recognition Jan. 2023. arXiv.
[DOI]
  • article
V. Medina-Olivares and R. Calabrese Detecting Consumers' Financial Vulnerability using Open Banking Data: Evidence from UK Payday Loans May 2023. arXiv.
[DOI]
  • article
Y. Meier and N. KrämerDifferences in Access to Privacy Information Can Partly Explain Digital Inequalities in Privacy Literacy and Self-Efficacy Jul. 2023. Center for Open Science.
[DOI]
  • article
N. KleinDistributional Regression for Data Analysis Jul. 2023. arXiv.
[DOI]
  • article
Y. Rosenblum, M. Pereira, O. Stange, F. D. Weber, L. Bovy, S. Tzioridou, E. Lancini, D. A. Neville, N. Klein, T. Wolff, M. Stritzke, I. Kersten, M. Uhr, J. A. Claassen, A. Steiger, M. M. Verbeek and M. Dresler Divergent associations of slow-wave sleep vs. REM sleep with plasma amyloid-beta Jun. 2023. Cold Spring Harbor Laboratory.
[DOI]
  • article
B. L. Schwienhorst, L. Kock, D. J. Nott and N. KleinDropout Regularization in Extended Generalized Linear Models based on Double Exponential Families 2023. arXiv.
[DOI]
  • article
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]
  • inproceedings
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]
  • incollection
N. C. Krämer and J. M. Szczuka Experiments in Human-Machine in The SAGE Handbook of Human—Machine Communication, Andrea L. Guzman and Rhonda McEwen and Steve Jones, Eds. SAGE, 2023.
[URL]
  • article
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]
  • article
E. Bitsikas, T. Schnitzler, C. Pöpper and A. Ranganathan Freaky Leaky SMS: Extracting User Locations by Analyzing SMS Timings 2023. arXiv.
[DOI]
  • article
M. Munko, M. Ditzhaus, M. Pauly, Ł. Smaga and J. Zhang General multiple tests for functional data Jun. 2023. arXiv.
[DOI]
  • article
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]
  • article
F. Zargar, L. Frentzel-Beyme, E. Lewers, B. Koczy and N. Krämerhistagram: Investigating Emotions in Historical Representations on Instagram May 2023. PsyArXiv.
[DOI]
  • article
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]
  • inproceedings
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]
  • article
M. Thurow, I. Dormuth, C. Sauer, M. Ditzhaus and M. PaulyHow to Simulate Realistic Survival Data? A Simulation Study to Compare Realistic Simulation Models 2023. arXiv.
[DOI]
  • article
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]
  • article
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]
  • inproceedings
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]
  • inproceedings
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]
  • article
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]
  • article
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]
  • article
C. Balestra, B. Li and E. MüllerOn the Consistency and Robustness of Saliency Explanations for Time Series Classification Sep. 2023. arXiv.
[DOI]
  • inproceedings
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]
  • article
L. Frentzel-Beyme, M. Holtze, J. M. Szczuka and N. KrämerPosting from the Past Jul. 2023. Weizenbaum Institute for the Networked Society - The German Internet Institute.
[DOI]
  • incollection
N. C. Krämer and J. M. Szczuka Privacy 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]
  • article
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]
  • 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.
[DOI]
  • 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]
  • article
N. Umlauf, JohannesSeiler, M. Wetscher, T. Simon, S. Lang and N. KleinScalable Estimation for Structured Additive Distributional Regression 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.
[DOI]
  • 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 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]
  • article
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, 2023. Hindawi.
[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]
  • 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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