Publikationen

Wir arbeiten hart daran, regelmäßig in führenden Fachjournalen und auf Konferenzen aus den Bereichen Datenanalyse, Statistik, Informatik, Management, etc. zu veröffentlichen.

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Vollständige Publikationsliste auf Google Scholar oder Open Access LMU

Top Publikationen

Chronologisch absteigend sortiert
TitleJournal / Conference
Addressing distributional shifts in Operations Management: The case of order fulfillment in customized productionProduction and Operations Management
Algorithmic Fairness in Business Analytics: Directions for Research and PracticeProduction and Operations Management
Bringing artificial intelligence to business managementNature Machine Intelligence
Data-driven allocation of development aid towards Sustainable Development Goals: Evidence from HIV/AIDSProduction and Operations Management
Negativity drives online news consumptionNature Human Behaviour
Monitoring global development aid with machine learningNature Sustainability
Mon­it­or­ing the COVID-19 epi­demic with na­tion­wide tele­com­mu­nic­a­tion dataProceedings of the National Academy of Sciences
Us­ing ex­plain­able ar­ti­fi­cial in­tel­li­gence to im­prove pro­cess qual­ity: Evid­ence from semi­con­ductor man­u­fac­tur­ingManagement Science
I Will Sur­vive: Pre­dict­ing Busi­ness Fail­ures From Cus­tomer Rat­ingsMarketing Science

Weitere Publikationen

Chronologisch absteigend sortiert
TitleJournal / Conference
Glycaemic Patterns of Male Professional Athletes With Type 1 Diabetes During Exercise, Recovery and Sleep: Retrospective, Observational Study Over an Entire Competitive SeasonDiabetes, Obesity and Metabolism
Normalizing Flows for Interventional Density EstimationICML 2023
Mechanisms of True and False Rumor Sharing in Social Media: Collective Intelligence or Herd Behavior?CSCW 2023
New threats to society from free-speech social media platformsCACM
Machine learning for non-invasive sensing of hypoglycemia while driving in people with diabetesDiabetes, Obesity and Metabolism (DOM)
Analyzing Social Media Activities at BellingcatWebSci'23
Machine Learning for Predicting Micro- and Macrovascular Complications in Individuals with Prediabetes or Diabetes: Retrospective Cohort StudyJMIR
Contrastive Learning for Unsupervised Domain Adaptation of Time SeriesICLR 2023
Estimating individual treatment effects under unobserved confounding using binary instrumentsICLR 2023
Estimating Conditional Average Treatment Effects with Missing Treatment InformationAISTATS 2023
Leveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk drivingACM Conference on Human Factors in Computing Systems 2023
Estimating average causal effects from patient trajectoriesAAAI Conference on Artificial Intelligence (AAAI-23)
QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive AdaptationEMNLP 2022
Selecting Advanced Analytics in Manufacturing: A Decision Support ModelProduction Planning & Control
Context-Adaptive Visual Cues for Safe Navigation in Augmented Reality Using Machine LearningInternational Journal of Human-Computer Interaction
"Is It My Turn?" Assessing Teamwork and Taskwork in Collaborative Immersive AnalyticsCSCW 2022
Machine Learning for Predicting the Risk of Transition from Prediabetes to DiabetesDiabetes Technology & Therapeutics
The methodologies to assess the effects of non-pharmaceutical interventions during COVID-19: a systematic reviewEuropean Journal of Epidemiology
Finding Qs: Profiling QAnon Supporters on ParlerICWSM 2023
Online Emotions During the Storming of the U.S. Capitol: Evidence from the Social Media Network ParlerICWSM 2023
Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in MedicineMLHC 2022
Data-driven dynamic treatment planning for chronic diseasesEuropean Journal of Operational Research
Generalizing Off-Policy Learning under Sample Selection BiasUAI 2022
Interpretable Off-Policy Learning via Hyperbox SearchICML 2022
Causal Transformer for Estimating Counterfactual OutcomesICML 2022
A Scalable Risk Scoring System for COVID-19 Inpatients Based on Consumer-grade Wearables: Statistical Analysis and Model DevelopmentJMIR Formative Research
Estimating and explaining cross-country variation in the effectiveness of non-pharmaceutical interventions during COVID-19Scientific Reports
Mining points-of-interest data to predict urban inequality: Evidence from Germany and FranceConference ICWSM
Web Mining to Inform Locations of Charging Stations for Electric VehiclesConference WWW Companion 2022
Augmented Reality for Machine Setups: Task Performance and Usability Evaluation in a Field TestProcedia CIRP
Detecting False Rumors from Retweet Dynamics on Social MediaTheWebConf 2022
A Deep Markov Model for Clickstream Analytics in Online ShoppingTheWebConf 2022
Emotions explain differences in the diffusion of true vs. false social media rumorsScientific Reports
Analyzing Patient Trajectories with Artificial IntelligenceJournal of Medical Internet Research (JMIR)
A Latent Customer Flow Model for Interpretable Predictions of Check-In CountsIEEE International Conference on Big Data
Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy ProxiesMachine Learning for Health (ML4H)
A network analysis of drug combinations associated with Acute Generalized Exanthematous Pustulosis (AGEP)Journal of Clinical Medicine (JCM)
Emotions in online rumor diffusionEuropean Physical Journal Data Science (EPJ)
A Sociotechnical View of Algorithmic Fairness
Information Systems Journal
Contrastive Domain Adaptation for Question Answering using Limited Text CorporaConference on Empirical Methods in Natural Language Processing (EMNLP)
Exploring the Effect of Visual Cues on Eye Gaze During AR-Guided Picking and Assembly TasksIEEE International Symposium on Mixed and Augmented Reality (ISMAR)
Estimating Average Treatment Effects via Orthogonal RegularizationConference on Information and Knowledge Management (CIKM)
Estimating the effect of mobility on SARS-CoV-2 transmission during the first and second wave of the COVID-19 epidemic, Switzerland, March to December 2020Eurosurveillance

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