• 2023
  • 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
B. Ramosaj and M. PaulyConsistent and unbiased variable selection under independent features using Random Forest permutation importanceBernoulli, vol. 29, no. 3, pp. 2101—2118, 2023. Bernoulli Society for Mathematical Statistics and Probability.
[DOI]
  • inproceedings
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 RecognitionArXiv, Jan. 2023. arXiv.
[DOI]
  • article
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]
  • article
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]
  • inproceedings
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]
  • article
M. Jansen and N. KrämerEmpty Transparency? The Effects on Credibility and Trustworthiness of Targeting Disclosure Labels for Micro-Targeted Political AdvertisementsWeizenbaum Journal of the Digital Society, vol. 3, no. 1, 2023. Weizenbaum Institute.
[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. SzczukaExperiments in Human-Machine in The Sage Handbook of Human–Machine Communication, Guzman, Andrea L. and McEwen, Rhonda and Jones, Steve, Eds. SAGE, 2023, pp. 186—192.
[DOI]
  • 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
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]
  • article
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]
  • inproceedings
E. Bitsikas, T. Schnitzler, C. Pöpper and A. Ranganathan Freaky Leaky SMS: Extracting User Locations by Analyzing SMS Timings in 32nd USENIX Security Symposium (USENIX Security 23), Anaheim, CA: USENIX Association, 2023, pp. 2151—2168.
[DOI][URL]
  • 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 InstagramPsyArXiv Preprints, 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, pp. 1—16, 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
G. Neubaum, M. Metzger, N. Krämer and E. Kyewski How Subjective Norms Relate to Personal Privacy Regulation in Social Media: A Cross-National ApproachSocial Media + Society, vol. 9, no. 3, pp. 20563051231182365, Jul. 2023. SAGE Publications.
[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 ModelsArXiv, 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]
  • inproceedings
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]
  • 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]
  • article
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]
  • 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, Williams, Brian and Chen, Yiling and Neville, Jennifer, 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, vol. 33, no. 3, pp. 439—458, 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]
  • inproceedings
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]
  • inproceedings
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]
  • article
C. Balestra, B. Li and E. MüllerOn the Consistency and Robustness of Saliency Explanations for Time Series ClassificationArXiv, 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 PastWeizenbaum Journal, Jul. 2023. Weizenbaum Institute for the Networked Society - The German Internet Institute.
[DOI]
  • incollection
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]
  • 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, Holzinger, Andreas and Kieseberg, Peter and Cabitza, Federico and Campagner, Andrea and Tjoa, A. Min and Weippl, Edgar, 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, Gaggl, Sarah Alice and Martinez, Maria Vanina and Ortiz, Magdalena, Eds. Springer, 2023, pp. 796—813.
[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, Wrembel, Robert and Gamper, Johann and Kotsis, Gabriele and Tjoa, A. Min and Khalil, Ismail, Eds. Springer Nature Switzerland, 2023, pp. 325—339.
[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]
  • article
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]
  • 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, André, Étienne and Sun, Jun, 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]
  • 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, vol. 14, no. 4, pp. 647—651, Jun. 2023. Wiley Online Library.
[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]
  • article
M. Finkel and N. C. KrämerThe robot that adapts too much? An experimental study on users' perceptions of social robots' behavioral and persona changes between interactions with different usersComputers in Human Behavior: Artificial Humans, vol. 1, no. 2, pp. 100018, Aug. 2023. Elsevier BV.
[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, Steffen, Bernhard, 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
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, vol. 53, no. 4, pp. 473—490, 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
L. Mavrina, J. Szczuka, C. Strathmann, L. M. Bohnenkamp, N. Krämer and S. Kopp Alexa, You're Really Stupid: A Longitudinal Field Study on Communication Breakdowns Between Family Members and a Voice AssistantFrontiers in Computer Science, vol. 4, pp. 791704, Jan. 2022. Frontiers Media SA.
[DOI]
  • article
J. P. Kluck and N. C. Krämer Appraising Uncivil Comments in Online Political Discussions: How Do Preceding Incivility and Senders' Stance Affect the Processing of an Uncivil Comment?Communication Research, vol. 50, no. 4, pp. 453—479, Nov. 2022. SAGE Publications.
[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]
  • article
N. Döring, N. Krämer, V. Mikhailova, M. Brand, T. H. C. Krüger and G. Vowe Corrigendum: Sexual Interaction in Digital Contexts and Its Implications for Sexual Health: A Conceptual AnalysisFrontiers in Psychology, vol. 13, pp. 847814, Feb. 2022. Frontiers Media SA.
[DOI]
  • article
N. Döring, N. Krämer, M. Brand, T. H. C. Krüger, J. M. F. Oosten and G. Vowe Editorial: Sexual Interaction in Digital Contexts: Opportunities and Risks for Sexual HealthFrontiers in Psychology, vol. 13, pp. 872445, Mar. 2022. Frontiers Media SA.
[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]
  • article
J. M. Szczuka, C. Strathmann, N. Szymczyk, L. Mavrina and N. C. KrämerHow do children acquire knowledge about voice assistants? A longitudinal field study on children's knowledge about how voice assistants store and process dataInternational Journal of Child-Computer Interaction, vol. 33, pp. 100460, Sep. 2022. Elsevier BV.
[DOI]
  • article
J. Meinert and N. C. KrämerHow the expertise heuristic accelerates decision-making and credibility judgments in social media by means of effort reductionPLOS ONE, vol. 17, no. 3, pp. e0264428, Mar. 2022. Public Library of Science (PLoS).
[DOI]
  • article
M. Finkel and N. C. KrämerHumanoid Robots — Artificial. Human-like. Credible? Empirical Comparisons of Source Credibility Attributions Between Humans, Humanoid Robots, and Non-human-like DevicesInternational Journal of Social Robotics, vol. 14, no. 6, pp. 1397—1411, Apr. 2022. Springer Science and Business Media LLC.
[DOI]
  • article
M. Wischnewski, T. Ngo, R. Bernemann, M. Jansen and N. KrämerI agree with you, bot! How users (dis)engage with social bots on TwitterNew Media & Society, vol. 26, no. 3, pp. 1505—1526, Feb. 2022. SAGE Publications.
[DOI]
  • inproceedings
A. C. Horstmann and N. C. KrämerI Blame You Anyways! An Experimental Study on the Perceived Responsibility of a Social Robot's Pre-Programmed Behavior in Proceedings of the 12th Media Psychology Conference 2021 (MediaPsych 2021) : September 8 10, 2021 RWTH Aachen University, pages 86-90, RWTH Aachen University, 2022, pp. 86—90.
[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, Geatti, Luca and Sciavicco, Guido and Umbrico, Alessandro, Eds. CEUR-WS.org, 2022, pp. 1—6.
[URL]
  • article
Y. Meier, J. Meinert and N. C. KrämerOne-Time Decision or Continual Adjustment? A Longitudinal Study of the Within-Person Privacy Calculus among Users and Non-Users of a COVID-19 Contact Tracing AppMedia Psychology, vol. 26, no. 1, pp. 36—53, Jun. 2022. Informa UK Limited.
[DOI]
  • 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]
  • book
B. M. D. N. K. T. H. C. V. O. J. M. F. Krämer and G. Vowe Sexual Interaction in Digital Contexts: Opportunities and Risks for Sexual Health Frontiers Media SA, 2022.
[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]
  • article
A. C. Horstmann and N. C. KrämerThe Fundamental Attribution Error in Human-Robot Interaction: An Experimental Investigation on Attributing Responsibility to a Social Robot for Its Pre-Programmed BehaviorInternational Journal of Social Robotics, vol. 14, no. 5, pp. 1137—1153, Jan. 2022. Springer Science and Business Media LLC.
[DOI]
  • article
Y. Meier and N. C. KrämerThe Privacy Calculus Revisited: An Empirical Investigation of Online Privacy Decisions on Between- and Within-Person LevelsCommunication Research, vol. 51, no. 2, pp. 178—202, Jul. 2022. SAGE Publications.
[DOI]
  • incollection
A. Borchert, A. Wainakh, N. Krämer, M. Mühlhäuser and M. Heisel The Relevance of Privacy Concerns, Trust, and Risk for Hybrid Social Media in Evaluation of Novel Approaches to Software Engineering, Springer International Publishing, 2022, pp. 88—111.
[DOI]
  • article
M. Finkel and N. C. KrämerThe robotic mentalist — On the influences of robots' mentalizing abilities and external manipulative intent on people\textquoterights credibility attributionsFrontiers in Psychology, vol. 13, pp. 993302, Oct. 2022. Frontiers Media SA.
[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. 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. 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]
  • 2021
  • article
T. Ngo and N. KrämerExploring folk theories of algorithmic news curation for explainable designBehaviour & Information Technology, vol. 41, no. 15, pp. 3346—3359, Oct. 2021. Informa UK Limited.
[DOI]
  • article
J. P. Kluck and N. C. KrämerWhat an idiot! — How the appraisal of the writer of an uncivil comment impacts discussion behaviorNew Media & Society, vol. 24, no. 12, pp. 2743—2762, Mar. 2021. SAGE Publications.
[DOI]
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