• 2024
  • article
N. KleinDistributional Regression for Data AnalysisAnnual Review of Statistics and Its Application, vol. 11, no. 1, pp. 321—346, Apr. 2024. Annual Reviews.
[DOI]
  • article
S. Roilo, A. Paulus, V. Alarcón-Segura, L. Kock, M. Beckmann, N. Klein and A. Cord Quantifying agricultural land-use intensity for spatial biodiversity modelling: implications of different metrics and spatial aggregation methodsLandscape Ecology, vol. 39, no. 3, Feb. 2024. Springer Science and Business Media LLC.
[DOI]
  • article
Y. Rosenblum, M. Pereira, O. Stange, F. Weber, L. Bovy, S. Tzioridou, E. Lancini, D. Neville, N. Klein, T. De Wolff, M. Stritzke, I. Kersten, M. Uhr, J. Claassen, A. Steiger, M. Verbeek and M. Dresler Divergent Associations of Slow-Wave Sleep versus Rapid Eye Movement Sleep with Plasma Amyloid-BetaAnnals of Neurology, vol. 96, no. 1, pp. 46—60, Apr. 2024. Wiley.
[DOI]
  • article
I. Dormuth, M. Pauly, G. Rauch and C. Herrmann Sample Size Calculation Under Nonproportional Hazards Using Average Hazard RatiosBiometrical Journal, vol. 66, no. 6, Aug. 2024. Wiley.
[DOI]
  • article
Z. Purcell, M. Dong, A. Nussberger, N. Köbis and M. Jakesch People have different expectations for their own versus others' use of AI-mediated communication toolsBritish Journal of Psychology, Sep. 2024. Wiley.
[DOI]
  • article
A. Groyecka-Bernard, P. Sorokowski, M. Karwowski, S. Roberts, T. Aavik, G. Akello, C. Alm, N. Amjad, K. Asao, C. Atama, D. Atamtürk Duyar, R. Ayebare, C. Batres, A. Bensafia, A. Bertoni, B. Bizumic, M. Boussena, D. Buss, M. Butovskaya, S. Can, A. Carrier, H. Cetinkaya, D. Conroy-Beam, M. Varella, I. Croy, R. Cueto, M. Czerwonka, M. Czub, S. Donato, D. Dronova, S. Dural, I. Duyar, B. Ertugrul, A. Espinosa, C. Esteves, T. Frackowiak, A. Gajda, M. Galewska-Kustra, J. Contreras Graduño, F. Guemaz, I. Hromatko, C. Hui, I. Herak, R. Iafrate, J. Jaafar, D. Jankowska, F. Jiang, K. Kafetsios, T. Kavčič, N. Kervyn, N. Köbis, I. Lebuda, G. Lennard, E. León, T. Lindholm, M. Madallh Alhabahba, Z. Manesi, S. Mckerchar, G. Misra, C. Monaghan, E. Mora, A. Moya-Garófano, B. Musil, J. Natividade, G. Nizharadze, E. Oberzaucher, A. Oleszkiewicz, M. Omar Fauzee, I. Onyishi, B. Özener, F. Pazhoohi, M. Perun, A. Pisanski, K. Pisanski, E. Ponciano, C. Popa, P. Prokop, M. Rizwan, S. Salkičevi\'c, S. Schmehl, O. Senyk, S. Sharad, F. Simonetti, M. Tadinac, K. Ugalde González, O. Uhryn, C. Vauclair, D. Vega, E. Weremczuk-Marczyńska, D. Ajeng Widarini, G. Yoo, M. Zupančič, A. Anjum, A. Shahid and A. Sorokowska Conservatism Negatively Predicts Creativity: A Study Across 28 CountriesJournal of Cross-Cultural Psychology, Apr. 2024. SAGE Publications.
[DOI]
  • article
M. Wischnewski and N. KrämerDoes Polarizing News Become Less Polarizing When Written by an AI?Journal of Media Psychology, Aug. 2024. Hogrefe Publishing Group.
[DOI]
  • inproceedings
L. Westhofen, C. Neurohr, J. C. Jung and D. NeiderAnswering Temporal Conjunctive Queries over Description Logic Ontologies for Situation Recognition in Complex Operational Domains in Tools and Algorithms for the Construction and Analysis of Systems - 30th International Conference, TACAS 2024, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2024, Luxembourg City, Luxembourg, April 6-11, 2024, Proceedings, Part I, Bernd Finkbeiner and Laura Kovács, Eds. Springer, 2024, pp. 167—187.
[DOI]
  • 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]
  • inproceedings
D. Hintersdorf, L. Struppek, D. Neider and K. Kersting Defending Our Privacy with Backdoors in ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain - Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024), Ulle Endriss and Francisco S. Melo and Kerstin Bach and Alberto José Bugar\'ın Diz and Jose Maria Alonso-Moral and Senén Barro and Fredrik Heintz, Eds. IOS Press, 2024, pp. 1832—1839.
[DOI]
  • inproceedings
L. Steinmeister and M. PaulyDegenerate Hierarchical Time Series Reconciliation With The Minimum Trace Algorithm in R in Proceedings of the Conference on Production Systems and Logistics: CSPL 2024, 2024, pp. 380—390.
[DOI]
  • article
A. Alibakhshi and L. V. Schäfer Electron iso-density surfaces provide a thermodynamically consistent representation of atomic and molecular surfacesNature Communications, vol. 15, no. 1, Jul. 2024. Springer Science and Business Media LLC.
[DOI]
  • article
C. Bischof, N. Hohensee, F. Dietel, P. Doebler, N. Klein and U. Buhlmann Emotion Regulation in Obsessive-Compulsive Disorder: An Ecological Momentary Assessment StudyBehavior Therapy, Feb. 2024. Elsevier BV.
[DOI]
  • article
F. Kistner, J. Tulowietzki, L. Slaney, S. Alibhai, Z. Jewell, B. Ramosaj and M. PaulyEnhancing endangered species monitoring by lowering data entry requirements with imputation techniques as a preprocessing step for the footprint identification technology (FIT)Ecological Informatics, pp. 102676, 2024. Elsevier.
[DOI]
  • inproceedings
J. Corazza, H. P. Aria, D. Neider and Z. Xu Expediting Reinforcement Learning by Incorporating Knowledge About Temporal Causality in the Environment in Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California, USA, Francesco Locatello and Vanessa Didelez, Eds. PMLR, 2024, pp. 643—664.
[URL]
  • 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]
  • inbook
C. Balestra, A. Ferrara and E. MüllerFairMC Fair—Markov Chain Rank Aggregation Methods in Lecture Notes in Computer Science, Springer Nature Switzerland, 2024, pp. 315—321.
[DOI]
  • inproceedings
C. Balestra, A. Ferrara and E. MüllerFairMC Fair—Markov Chain Rank Aggregation Methods in Big Data Analytics and Knowledge Discovery, Springer Nature Switzerland, 2024, pp. 315—321.
[DOI]
  • inproceedings
L. Kuhlmann, F. Fesca, L. Steinmeister and M. PaulyHierarchical Sales Forecasting In Multichannel Distribution Considering Marketing Campaigns in Proceedings of the Conference on Production Systems and Logistics: CSPL 2024, 2024, pp. 527—538.
[DOI]
  • inproceedings
F. Fesca and M. PaulyIdentifying Anomalies In Consumption Data With Forecasting Models: A Case Study With Plausibility Checks At TU Dortmund University in Proceedings of the Conference on Production Systems and Logistics: CSPL 2024, 2024, pp. 517—526.
[DOI]
  • article
M. Wischnewski, N. Krämer, C. Janiesch, E. Müller, T. Schnitzler and C. Newen In Seal We Trust? Investigating the Effect of Certifications on Perceived Trustworthiness of AI SystemsHuman-Machine Communication, vol. 8, pp. 141—162, 2024. Communication and Social Robotics Labs.
[DOI]
  • inproceedings
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]
  • article
S. Lutz and D. NeiderInterpretable Machine Learning via Linear Temporal LogicDataNinja sAIOnARA Conference, pp. DataNinja sAIOnARA 2024 Conference, 2024. DataNinja sAIOnARA Conference.
[DOI]
  • inproceedings
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]
  • inproceedings
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]
  • article
A. Von Schenk, V. Klockmann, J. Bonnefon, I. Rahwan and N. KöbisLie detection algorithms disrupt the social dynamics of accusation behavioriScience, pp. 110201, Jun. 2024. Elsevier BV.
[DOI]
  • inbook
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]
  • inproceedings
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]
  • article
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]
  • article
T. Katzke, S. Lutz, E. Müller and D. NeiderProvable Guarantees for Deep Learning-Based Anomaly Detection through Logical ConstraintsDataNinja sAIOnARA Conference, pp. DataNinja sAIOnARA 2024 Conference, 2024. DataNinja sAIOnARA Conference.
[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
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]
  • article
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]
  • article
M. Thurow, T. Welz, E. Knop, T. Friede and M. PaulyRobust confidence intervals for meta-regression with interaction effectsComputational Statistics, Aug. 2024. Springer.
[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]
  • incollection
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]
  • 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]
  • inproceedings
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]
  • article
L. Schmid, D. Biebert, C. Hakert, K. Chen, M. Lang, M. Pauly and J. Chen TREE: Tree Regularization for Efficient ExecutionArXiv, 2024.
[DOI]
  • inproceedings
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]
  • inproceedings
M. Schaef, B. Cirisci, L. Luo, M. N. Mansur, O. Tripp, D. Sanchez, Q. Zhou and M. B. Zafar Understanding 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]
  • 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
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]
  • article
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]
  • article
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]
  • 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
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]
  • 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
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]
  • 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]
  • article
V. Alarcón-Segura, S. Roilo, A. Paulus, M. Beckmann, N. Klein and A. Cord Farm structure and environmental context drive farmers\textquoteright 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]
  • inbook
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
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]
  • 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)PsyArXiv Preprints, 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 studyArXiv, 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
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
V. Medina-Olivares and R. Calabrese Detecting Consumers' Financial Vulnerability using Open Banking Data: Evidence from UK Payday LoansArXiv, 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-EfficacyPsyArXiv Preprints, Jul. 2023. Center for Open Science.
[DOI]
  • article
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]
  • 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 TimingsArXiv, 2023. arXiv.
[DOI]
  • article
M. Munko, M. Ditzhaus, M. Pauly, Ł. Smaga and J. Zhang General multiple tests for functional dataArXiv, 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 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, 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 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]
  • inbook
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]
  • 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]
  • 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.
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