Reducing Price Uncertainty through Demand Side Management. - Stefan Feuerriegel; Jens Strüker; Dirk Neumann 001 (ICIS, 2012)

Design Science in Practice: Designing an Electricity Demand Response System. - Philipp Bodenbenner; Stefan Feuerriegel; Dirk Neumann 001 (DESRIST, 2013)

Is More Information Better Than Less? Understanding The Impact Of Demand Response Mechanisms In Energy Markets. - Stefan Feuerriegel; Philipp Bodenbenner; Dirk Neumann 001 (ECIS, 2013)

Synchronization-Reducing Variants of the Biconjugate Gradient and the Quasi-Minimal Residual Methods. - Stefan Feuerriegel; H. Martin Bücker (ICA3PP (1), 2013)

A Normalization Scheme for the Non-symmetric s-Step Lanczos Algorithm. - Stefan Feuerriegel; H. Martin Bücker (ICA3PP (2), 2013)

Shaping a Sustainable Society: How Information Systems Utilize Hidden Synergies between Green Technologies. - Tobias Brandt; Stefan Feuerriegel; Dirk Neumann 001 (ICIS, 2013)

News or Noise? How News Drives Commodity Prices. - Stefan Feuerriegel; Dirk Neumann 001 (ICIS, 2013)

A Household-Oriented Approach to The Benefits of Vehicle-To-Grid-Capable Electric Vehicles. - Tobias Brandt; Stefan Feuerriegel; Dirk Neumann 001 (Wirtschaftsinformatik, 2013)

Costs of Integrating demand response Systems in electricity Markets. - Philipp Bodenbenner; Stefan Feuerriegel (ECIS, 2014)

Predictive Analytics for electricity prices using Feed-INS from renewables. - Stefan Feuerriegel; Simon Riedlinger; Dirk Neumann 001 (ECIS, 2014)

A Multi-Vehicle Profitable pickup and Delivery Selection Problem with Time Windows. - Xiaoqiu Qiu; Stefan Feuerriegel (ECIS, 2014)

Evaluation of News-Based Trading Strategies. - Stefan Feuerriegel; Dirk Neumann 001 (FinanceCom, 2014)

Finding Evidence of Irrational Exuberance in the Oil Market. - Antal Ratku; Stefan Feuerriegel; Fethi A. Rabhi; Dirk Neumann 001 (FinanceCom, 2014)

News Processing during Speculative Bubbles: Evidence from the Oil Market. - Stefan Feuerriegel; Max W. Lampe; Dirk Neumann 001 (HICSS, 2014)

Long- and Short-Term Impact of News Messages on House Prices: A Comparative Study of Spain and the United States. - Jan-Otto Jandl; Stefan Feuerriegel; Dirk Neumann 001 (ICIS, 2014)

Emergency response in natural disaster management: Allocation and scheduling of rescue units. - Felix Wex; Guido Schryen; Stefan Feuerriegel; Dirk Neumann 001 (Eur. J. Oper. Res., 2014)

Is News Sentiment More Than Just Noise? - Simon Jonas Alfano; Stefan Feuerriegel; Dirk Neumann 001 (ECIS, 2015)

Generating Domain-Specific Dictionaries using Bayesian Learning. - Nicolas Pröllochs; Stefan Feuerriegel; Dirk Neumann 001 (ECIS, 2015)

Do Investors Read Too Much into News? How News Sentiment Causes Price Formation. - Stefan Feuerriegel; Sebastian Felix Heitzmann; Dirk Neumann 001 (HICSS, 2015)

Enhancing Sentiment Analysis of Financial News by Detecting Negation Scopes. - Nicolas Prollochs; Stefan Feuerriegel; Dirk Neumann 001 (HICSS, 2015)

Information Processing of Foreign Exchange News: Extending the Overshooting Model to Include Qualitative Information from News Sentiment. - Stefan Feuerriegel; Georg Wolff; Dirk Neumann 001 (ICIS, 2015)

The Non-Symmetric s-Step Lanczos Algorithm: Derivation Of Efficient Recurrences And Synchronization-Reducing Variants Of BiCG And QMR. - Stefan Feuerriegel; H. Martin Bücker (Int. J. Appl. Math. Comput. Sci., 2015)

Putting Big Data analytics to work: Feature selection for forecasting electricity prices using the LASSO and random forests. - Nicole Ludwig 002; Stefan Feuerriegel; Dirk Neumann 001 (J. Decis. Syst., 2015)

Improving Decision Analytics with Deep Learning: the Case of Financial Disclosures. - Stefan Feuerriegel; Ralph Fehrer (ECIS, 2016)

Business Intelligence for Business Processes: the Case of IT Incident Management. - Niklas Goby; Tobias Brandt; Stefan Feuerriegel; Dirk Neumann 001 (ECIS, 2016)

Analysis of How Underlying Topics in Financial News Affect Stock Prices Using Latent Dirichlet Allocation. - Stefan Feuerriegel; Antal Ratku; Dirk Neumann 001 (HICSS, 2016)

Decision Model for Sustainable Electricity Procurement Using Nationwide Demand Response. - Joscha Märkle-Huss; Stefan Feuerriegel; Dirk Neumann 001 (HICSS, 2016)

Detecting Negation Scopes for Financial News Sentiment Using Reinforcement Learning. - Nicolas Prollochs; Stefan Feuerriegel; Dirk Neumann 001 (HICSS, 2016)

Is Human Information Processing Affected by Emotional Content? Understanding The Role of Facts and Emotions in the Stock Market. - Nicolas Pröllochs; Stefan Feuerriegel; Dirk Neumann 001 (ICIS, 2016)

Time Series Analysis for Big Data: Evaluating Bayesian Structural Time Series using Electricity Prices. - Nicole Ludwig 002; Stefan Feuerriegel; Dirk Neumann 001 (MKWI, 2016)

Driven by News Tone? Understanding Information Processing when Covariates are Unknown: The Case of Natural Gas Price Movements. - Simon Jonas Alfano; Max Rapp; Nicolas Pröllochs; Stefan Feuerriegel; Dirk Neumann 001 (MKWI, 2016)

News-based trading strategies. - Stefan Feuerriegel; Helmut Prendinger (Decis. Support Syst., 2016)

Negation scope detection in sentiment analysis: Decision support for news-driven trading. - Nicolas Pröllochs; Stefan Feuerriegel; Dirk Neumann 001 (Decis. Support Syst., 2016)

Decision support in healthcare: determining provider influence on treatment outcomes with robust risk adjustment. - Stefan Feuerriegel (J. Decis. Syst., 2016)

Improving Sentiment Analysis with Document-Level Semantic Relationships from Rhetoric Discourse Structures. - Joscha Märkle-Huß; Stefan Feuerriegel; Helmut Prendinger (HICSS, 2017)

Setting the Right Tone: How Data Science Enables Investor Communication to Choose the Right Language. - Simon Jonas Alfano; Nicolas Pröllochs; Joscha Märkle-Huss; Stefan Feuerriegel; Dirk Neumann 001 (Wirtschaftsinformatik, 2017)

Understanding Consumer Behavior in Electronic Commerce with Image Sentiment. - Christof Naumzik; Stefan Feuerriegel; Dirk Neumann 001 (Wirtschaftsinformatik, 2017)

Understanding Negations in Information Processing: Learning from Replicating Human Behavior. - Nicolas Pröllochs; Stefan Feuerriegel; Dirk Neumann 001 (CoRR, 2017)

Language That Matters: Statistical Inferences for Polarity Identification in Natural Language. - Nicolas Pröllochs; Stefan Feuerriegel; Dirk Neumann 001 (CoRR, 2017)

Decision support from financial disclosures with deep neural networks and transfer learning. - Mathias Kraus; Stefan Feuerriegel (Decis. Support Syst., 2017)

Making the most of fleets: A profit-maximizing multi-vehicle pickup and delivery selection problem. - Xiaoqiu Qiu; Stefan Feuerriegel; Dirk Neumann 001 (Eur. J. Oper. Res., 2017)

Crossing the next frontier: the role of ICT in driving the financialization of credit. - Daniel Drummer; Stefan Feuerriegel; Dirk Neumann 001 (J. Inf. Technol., 2017)

Information Processing of Financial News: The Role of Cognitive Dissonance and Information Avoidance. - Nicolas Pröllochs; Marc T. P. Adam; Stefan Feuerriegel; Dirk Neumann 001 (ECIS, 2018)

Adaptive Document Retrieval for Deep Question Answering. - Bernhard Kratzwald; Stefan Feuerriegel (EMNLP, 2018)

Decision support with text-based emotion recognition: Deep learning for affective computing. - Bernhard Kratzwald; Suzana Ilic; Mathias Kraus; Stefan Feuerriegel; Helmut Prendinger (CoRR, 2018)

Reinforcement Learning in R. - Nicolas Pröllochs; Stefan Feuerriegel (CoRR, 2018)

Long-term stock index forecasting based on text mining of regulatory disclosures. - Stefan Feuerriegel; Julius Gordon (Decis. Support Syst., 2018)

Deep learning for affective computing: Text-based emotion recognition in decision support. - Bernhard Kratzwald; Suzana Ilic; Mathias Kraus; Stefan Feuerriegel; Helmut Prendinger (Decis. Support Syst., 2018)

Modeling interferences in information systems design for cyberphysical systems: Insights from a smart grid application. - Tobias Brandt; Stefan Feuerriegel; Dirk Neumann 001 (Eur. J. Inf. Syst., 2018)

RankQA: Neural Question Answering with Answer Re-Ranking. - Bernhard Kratzwald; Anna Eigenmann; Stefan Feuerriegel (ACL (1), 2019)

Improving heart rate variability measurements from consumer smartwatches with machine learning. - Martin Maritsch; Caterina Bérubé; Mathias Kraus; Vera Lehmann; Thomas Züger; Stefan Feuerriegel; Tobias Kowatsch; Felix Wortmann (UbiComp/ISWC Adjunct, 2019)

Bringing Advanced Analytics to Manufacturing: A Systematic Mapping. - Hergen Wolf; Rafael Lorenz; Mathias Kraus; Stefan Feuerriegel; Torbjørn H. Netland (APMS (1), 2019)

Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching. - Mathias Kraus; Stefan Feuerriegel (KDD, 2019)

Learning Interpretable Negation Rules via Weak Supervision at Document Level: A Reinforcement Learning Approach. - Nicolas Pröllochs; Stefan Feuerriegel; Dirk Neumann 001 (NAACL-HLT (1), 2019)

Learning from On-Line User Feedback in Neural Question Answering on the Web. - Bernhard Kratzwald; Stefan Feuerriegel (WWW, 2019)

Sample Complexity Bounds for Recurrent Neural Networks with Application to Combinatorial Graph Problems. - Nil-Jana Akpinar; Bernhard Kratzwald; Stefan Feuerriegel (CoRR, 2019)

DocParser: Hierarchical Structure Parsing of Document Renderings. - Johannes Rausch; Octavio Martinez; Fabian Bissig; Ce Zhang 001; Stefan Feuerriegel (CoRR, 2019)

Public decision support for low population density areas: An imbalance-aware hyper-ensemble for spatio-temporal crime prediction. - Cristina Kadar; Rudolf Maculan; Stefan Feuerriegel (Decis. Support Syst., 2019)

Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences. - Mathias Kraus; Stefan Feuerriegel (Decis. Support Syst., 2019)

News-based forecasts of macroeconomic indicators: A semantic path model for interpretable predictions. - Stefan Feuerriegel; Julius Gordon (Eur. J. Oper. Res., 2019)

Sentiment analysis based on rhetorical structure theory: Learning deep neural networks from discourse trees. - Mathias Kraus; Stefan Feuerriegel (Expert Syst. Appl., 2019)

ReinforcementLearning: A Package to Perform Model-Free Reinforcement Learning in R. - Nicolas Pröllochs; Stefan Feuerriegel (J. Open Source Softw., 2019)

Putting Question-Answering Systems into Practice: Transfer Learning for Efficient Domain Customization. - Bernhard Kratzwald; Stefan Feuerriegel (ACM Trans. Manag. Inf. Syst., 2019)

Sample Complexity Bounds for RNNs with Application to Combinatorial Graph Problems (Student Abstract). - Nil-Jana Akpinar; Bernhard Kratzwald; Stefan Feuerriegel (AAAI, 2020)

Estimating Risk-Adjusted Hospital Performance. - Eva van Weenen; Stefan Feuerriegel (IEEE BigData, 2020)

ALEEDSA: Augmented Reality for Interactive Machine Learning. - Andrea Ferrario; Raphael Weibel; Stefan Feuerriegel (CHI Extended Abstracts, 2020)

Towards Wearable-based Hypoglycemia Detection and Warning in Diabetes. - Martin Maritsch; Simon Föll; Vera Lehmann; Caterina Bérubé; Mathias Kraus; Stefan Feuerriegel; Tobias Kowatsch; Thomas Züger; Christoph Stettler; Elgar Fleisch; Felix Wortmann (CHI Extended Abstracts, 2020)

IntKB: A Verifiable Interactive Framework for Knowledge Base Completion. - Bernhard Kratzwald; Kunpeng Guo; Stefan Feuerriegel; Dennis Diefenbach (COLING, 2020)

Learning a Cost-Effective Annotation Policy for Question Answering. - Bernhard Kratzwald; Stefan Feuerriegel; Huan Sun 001 (EMNLP (1), 2020)

Leveraging Mobility Flows from Location Technology Platforms to Test Crime Pattern Theory in Large Cities. - Cristina Kadar; Stefan Feuerriegel; Anastasios Noulas; Cecilia Mascolo (ICWSM, 2020)

Cascade-LSTM: A Tree-Structured Neural Classifier for Detecting Misinformation Cascades. - Francesco Ducci; Mathias Kraus; Stefan Feuerriegel (KDD, 2020)

Early Detection of User Exits from Clickstream Data: A Markov Modulated Marked Point Process Model. - Tobias Hatt; Stefan Feuerriegel (WWW, 2020)

One Picture Is Worth a Thousand Words? The Pricing Power of Images in e-Commerce. - Christof Naumzik; Stefan Feuerriegel (WWW, 2020)

Mining Points-of-Interest for Explaining Urban Phenomena: A Scalable Variational Inference Approach. - Christof Naumzik; Patrick Zoechbauer; Stefan Feuerriegel (WWW, 2020)

Fair AI. - Stefan Feuerriegel; Mateusz Dolata; Gerhard Schwabe (Bus. Inf. Syst. Eng., 2020)

Practical Annotation Strategies for Question Answering Datasets. - Bernhard Kratzwald; Xiang Yue; Huan Sun 001; Stefan Feuerriegel (CoRR, 2020)

Longitudinal healthcare analytics for disease management: Empirical demonstration for low back pain. - Michael Mueller-Peltzer; Stefan Feuerriegel; Anne Molgaard Nielsen; Alice Kongsted; Werner Vach; Dirk Neumann 001 (Decis. Support Syst., 2020)

Deep learning in business analytics and operations research: Models, applications and managerial implications. - Mathias Kraus; Stefan Feuerriegel; Asil Oztekin (Eur. J. Oper. Res., 2020)

Business analytics for strategic management: Identifying and assessing corporate challenges via topic modeling. - Nicolas Pröllochs; Stefan Feuerriegel (Inf. Manag., 2020)

Negation scope detection for sentiment analysis: A reinforcement learning framework for replicating human interpretations. - Nicolas Pröllochs; Stefan Feuerriegel; Bernhard Lutz; Dirk Neumann 001 (Inf. Sci., 2020)

DocParser: Hierarchical Document Structure Parsing from Renderings. - Johannes Rausch; Octavio Martinez; Fabian Bissig; Ce Zhang 001; Stefan Feuerriegel (AAAI, 2021)

A Latent Customer Flow Model for Interpretable Predictions of Check-In Counts. - Daniel Tschernutter; Stefan Feuerriegel (IEEE BigData, 2021)

Modeling longitudinal dynamics of comorbidities. - Basil Maag; Stefan Feuerriegel; Mathias Kraus; Maytal Saar-Tsechansky; Thomas Züger (CHIL, 2021)

Estimating Average Treatment Effects via Orthogonal Regularization. - Tobias Hatt; Stefan Feuerriegel (CIKM, 2021)

Contrastive Domain Adaptation for Question Answering using Limited Text Corpora. - Zhenrui Yue; Bernhard Kratzwald; Stefan Feuerriegel (EMNLP (1), 2021)

Exploring the Effect of Visual Cues on Eye Gaze During AR-Guided Picking and Assembly Tasks. - Arne Seeliger; Gerrit Merz; Christian Holz 001; Stefan Feuerriegel (ISMAR Adjunct, 2021)

AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units. - Yilmazcan Özyurt; Mathias Kraus; Tobias Hatt; Stefan Feuerriegel (KDD, 2021)

Predicting COVID-19 Spread from Large-Scale Mobility Data. - Amray Schwabe; Joel Persson; Stefan Feuerriegel (KDD, 2021)

Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies. - Milan Kuzmanovic; Tobias Hatt; Stefan Feuerriegel (ML4H@NeurIPS, 2021)

Interface Design for Human-Machine Collaborations in Drone Management. - Stefan Feuerriegel; Rúben Geraldes; Artur Goncalves; Ziqi Liu; Helmut Prendinger (IEEE Access, 2021)

Investor Reaction to Financial Disclosures across Topics: An Application of Latent Dirichlet Allocation. - Stefan Feuerriegel; Nicolas Pröllochs (Decis. Sci., 2021)

Directed particle swarm optimization with Gaussian-process-based function forecasting. - Johannes Jakubik; Adrian Binding; Stefan Feuerriegel (Eur. J. Oper. Res., 2021)

Emotions in online rumor diffusion. - Nicolas Pröllochs; Dominik Bär; Stefan Feuerriegel (EPJ Data Sci., 2021)

QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation. - Zhenrui Yue; Huimin Zeng 001; Bernhard Kratzwald; Stefan Feuerriegel; Dong Wang 002 (EMNLP, 2022)

Causal Transformer for Estimating Counterfactual Outcomes. - Valentyn Melnychuk; Dennis Frauen; Stefan Feuerriegel (ICML, 2022)

Interpretable Off-Policy Learning via Hyperbox Search. - Daniel Tschernutter; Tobias Hatt; Stefan Feuerriegel (ICML, 2022)

Mining Points-of-Interest Data to Predict Urban Inequality: Evidence from Germany and France. - Manuel Ganter; Malte Toetzke; Stefan Feuerriegel (ICWSM, 2022)

Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine. - Theresa Blümlein; Joel Persson; Stefan Feuerriegel (MLHC, 2022)

Generalizing off-policy learning under sample selection bias. - Tobias Hatt; Daniel Tschernutter; Stefan Feuerriegel (UAI, 2022)

Web Mining to Inform Locations of Charging Stations for Electric Vehicles. - Philipp Hummler; Christof Naumzik; Stefan Feuerriegel (WWW (Companion Volume), 2022)

Detecting False Rumors from Retweet Dynamics on Social Media. - Christof Naumzik; Stefan Feuerriegel (WWW, 2022)

A Deep Markov Model for Clickstream Analytics in Online Shopping. - Yilmazcan Özyurt; Tobias Hatt; Ce Zhang 001; Stefan Feuerriegel (WWW, 2022)

The Cost of Fairness in AI: Evidence from E-Commerce. - Moritz von Zahn; Stefan Feuerriegel; Niklas Kuehl 001 (Bus. Inf. Syst. Eng., 2022)

Artificial intelligence across company borders. - Olga Fink; Torbjørn H. Netland; Stefan Feuerriegel (Commun. ACM, 2022)

Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects. - Tobias Hatt; Jeroen Berrevoets; Alicia Curth; Stefan Feuerriegel; Mihaela van der Schaar (CoRR, 2022)

Mechanisms of True and False Rumor Sharing in Social Media: Wisdom-of-Crowds or Herd Behavior? - Nicolas Pröllochs; Stefan Feuerriegel (CoRR, 2022)

Algorithmic Fairness in Business Analytics: Directions for Research and Practice. - Maria De-Arteaga; Stefan Feuerriegel; Maytal Saar-Tsechansky (CoRR, 2022)

Detecting User Exits from Online Behavior: A Duration-Dependent Latent State Model. - Tobias Hatt; Stefan Feuerriegel (CoRR, 2022)

A sociotechnical view of algorithmic fairness. - Mateusz Dolata; Stefan Feuerriegel; Gerhard Schwabe (Inf. Syst. J., 2022)

Using Explainable Artificial Intelligence to Improve Process Quality: Evidence from Semiconductor Manufacturing. - Julian Senoner; Torbjørn H. Netland; Stefan Feuerriegel (Manag. Sci., 2022)

I Will Survive: Predicting Business Failures from Customer Ratings. - Christof Naumzik; Stefan Feuerriegel; Markus Weinmann (Mark. Sci., 2022)

Bringing artificial intelligence to business management. - Stefan Feuerriegel; Yash Raj Shrestha; Georg von Krogh; Ce Zhang 001 (Nat. Mach. Intell., 2022)

"Is It My Turn?": Assessing Teamwork and Taskwork in Collaborative Immersive Analytics. - Michaela Benk; Raphael Weibel; Stefan Feuerriegel; Andrea Ferrario (Proc. ACM Hum. Comput. Interact., 2022)

Estimating Average Causal Effects from Patient Trajectories. - Dennis Frauen; Tobias Hatt; Valentyn Melnychuk; Stefan Feuerriegel (AAAI, 2023)

Estimating Conditional Average Treatment Effects with Missing Treatment Information. - Milan Kuzmanovic; Tobias Hatt; Stefan Feuerriegel (AISTATS, 2023)

Locating disparities in machine learning. - Moritz von Zahn; Oliver Hinz; Stefan Feuerriegel (IEEE Big Data, 2023)

Leveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk driving. - Kevin Koch 001; Martin Maritsch; Eva van Weenen; Stefan Feuerriegel; Matthias Pfäffli; Elgar Fleisch; Wolfgang Weinmann; Felix Wortmann (CHI, 2023)

DSG: An End-to-End Document Structure Generator. - Johannes Rausch; Gentiana Rashiti; Maxim Gusev; Ce Zhang 001; Stefan Feuerriegel (ICDM, 2023)

Estimating individual treatment effects under unobserved confounding using binary instruments. - Dennis Frauen; Stefan Feuerriegel (ICLR, 2023)

Contrastive Learning for Unsupervised Domain Adaptation of Time Series. - Yilmazcan Özyurt; Stefan Feuerriegel; Ce Zhang 001 (ICLR, 2023)

Normalizing Flows for Interventional Density Estimation. - Valentyn Melnychuk; Dennis Frauen; Stefan Feuerriegel (ICML, 2023)

Finding Qs: Profiling QAnon Supporters on Parler. - Dominik Bär; Nicolas Pröllochs; Stefan Feuerriegel (ICWSM, 2023)

Online Emotions during the Storming of the U.S. Capitol: Evidence from the Social Media Network Parler. - Johannes Jakubik; Michael Vössing; Nicolas Pröllochs; Dominik Bär; Stefan Feuerriegel (ICWSM, 2023)

Sharp Bounds for Generalized Causal Sensitivity Analysis. - Dennis Frauen; Valentyn Melnychuk; Stefan Feuerriegel (NeurIPS, 2023)

Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model. - Valentyn Melnychuk; Dennis Frauen; Stefan Feuerriegel (NeurIPS, 2023)

Reliable Off-Policy Learning for Dosage Combinations. - Jonas Schweisthal; Dennis Frauen; Valentyn Melnychuk; Stefan Feuerriegel (NeurIPS, 2023)

Analyzing Social Media Activities at Bellingcat. - Dominik Bär; Fausto Calderon; Michael Lawlor; Sophia Licklederer; Manuel Totzauer; Stefan Feuerriegel (WebSci, 2023)

Addressing distributional shifts in operations management: The case of order fulfillment in customized production. - Julian Senoner; Bernhard Kratzwald; Milan Kuzmanovic; Torbjørn H. Netland; Stefan Feuerriegel (CoRR, 2023)

A comparison of short-term probabilistic forecasts for the incidence of COVID-19 using mechanistic and statistical time series models. - Nicolas Banholzer; Thomas A. Mellan; H. Juliette T. Unwin; Stefan Feuerriegel; Swapnil Mishra; Samir Bhatt (CoRR, 2023)

Auditing Targeted Political Advertising on Social Media During the 2021 German Election. - Dominik Bär; Francesco Pierri 002; Gianmarco De Francisci Morales; Stefan Feuerriegel (CoRR, 2023)

In-Context Few-Shot Relation Extraction via Pre-Trained Language Models. - Yilmazcan Özyurt; Stefan Feuerriegel; Ce Zhang 001 (CoRR, 2023)

Causal Understanding of Why Users Share Hate Speech on Social Media. - Dominique Geissler; Abdurahman Maarouf; Stefan Feuerriegel (CoRR, 2023)

Counterfactual Fairness for Predictions using Generative Adversarial Networks. - Yuchen Ma 005; Dennis Frauen; Valentyn Melnychuk; Stefan Feuerriegel (CoRR, 2023)

Data-driven dynamic treatment planning for chronic diseases. - Christof Naumzik; Stefan Feuerriegel; Anne Molgaard Nielsen (Eur. J. Oper. Res., 2023)

Building open-source AI. - Yash Raj Shrestha; Georg von Krogh; Stefan Feuerriegel (Nat. Comput. Sci., 2023)

Mechanisms of True and False Rumor Sharing in Social Media: Collective Intelligence or Herd Behavior? - Nicolas Pröllochs; Stefan Feuerriegel (Proc. ACM Hum. Comput. Interact., 2023)

New Threats to Society from Free-Speech Social Media Platforms. - Dominik Bär; Nicolas Pröllochs; Stefan Feuerriegel (Commun. ACM, 2023)

Russian propaganda on social media during the 2022 invasion of Ukraine. - Dominique Geissler; Dominik Bär; Nicolas Pröllochs; Stefan Feuerriegel (EPJ Data Sci., 2023)

HQP: A Human-Annotated Dataset for Detecting Online Propaganda. - Abdurahman Maarouf; Dominik Bär; Dominique Geissler; Stefan Feuerriegel (ACL (Findings), 2024)

Data-driven Subgrouping of Patient Trajectories with Chronic Diseases: Evidence from Low Back Pain. - Christof Naumzik; Alice Kongsted; Werner Vach; Stefan Feuerriegel (CHIL, 2024)

Sequential Deconfounding for Causal Inference with Unobserved Confounders. - Tobias Hatt; Stefan Feuerriegel (CLeaR, 2024)

A Neural Framework for Generalized Causal Sensitivity Analysis. - Dennis Frauen; Fergus Imrie; Alicia Curth; Valentyn Melnychuk; Stefan Feuerriegel; Mihaela van der Schaar (ICLR, 2024)

Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation. - Konstantin Hess; Valentyn Melnychuk; Dennis Frauen; Stefan Feuerriegel (ICLR, 2024)

Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation. - Valentyn Melnychuk; Dennis Frauen; Stefan Feuerriegel (ICLR, 2024)

Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework. - Maresa Schröder; Dennis Frauen; Stefan Feuerriegel (ICLR, 2024)

Fair Off-Policy Learning from Observational Data. - Dennis Frauen; Valentyn Melnychuk; Stefan Feuerriegel (ICML, 2024)

Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments. - Jonas Schweisthal; Dennis Frauen; Mihaela van der Schaar; Stefan Feuerriegel (ICML, 2024)

Causal Machine Learning for Cost-Effective Allocation of Development Aid. - Milan Kuzmanovic; Dennis Frauen; Tobias Hatt; Stefan Feuerriegel (KDD, 2024)

DiffPO: A causal diffusion model for learning distributions of potential outcomes. - Yuchen Ma 005; Valentyn Melnychuk; Jonas Schweisthal; Stefan Feuerriegel (NeurIPS, 2024)

Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner. - Valentyn Melnychuk; Stefan Feuerriegel; Mihaela van der Schaar (NeurIPS, 2024)

G-Transformer for Conditional Average Potential Outcome Estimation over Time. - Konstantin Hess; Dennis Frauen; Valentyn Melnychuk; Stefan Feuerriegel (CoRR, 2024)

Explainable AI improves task performance in human-AI collaboration. - Julian Senoner; Simon Schallmoser; Bernhard Kratzwald; Stefan Feuerriegel; Torbjørn H. Netland (CoRR, 2024)

Conformal Prediction for Causal Effects of Continuous Treatments. - Maresa Schröder; Dennis Frauen; Jonas Schweisthal; Konstantin Hess; Valentyn Melnychuk; Stefan Feuerriegel (CoRR, 2024)

The Effect of Education in Prompt Engineering: Evidence from Journalists. - Amirsiavosh Bashardoust; Yuanjun Feng; Dominique Geissler; Stefan Feuerriegel; Yash Raj Shrestha (CoRR, 2024)

Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge Tracing. - Yilmazcan Özyurt; Stefan Feuerriegel; Mrinmaya Sachan (CoRR, 2024)

Causal machine learning for predicting treatment outcomes. - Stefan Feuerriegel; Dennis Frauen; Valentyn Melnychuk; Jonas Schweisthal; Konstantin Hess; Alicia Curth; Stefan Bauer; Niki Kilbertus; Isaac S. Kohane; Mihaela van der Schaar (CoRR, 2024)

Learning Representations of Instruments for Partial Identification of Treatment Effects. - Jonas Schweisthal; Dennis Frauen; Maresa Schröder; Konstantin Hess; Niki Kilbertus; Stefan Feuerriegel (CoRR, 2024)

Slowing Down Forgetting in Continual Learning. - Pascal Janetzky; Tobias Schlagenhauf; Stefan Feuerriegel (CoRR, 2024)

Generative AI may backfire for counterspeech. - Dominik Bär; Abdurahman Maarouf; Stefan Feuerriegel (CoRR, 2024)

Leveraging AI for Management Decision-Making (Dagstuhl Seminar 24342). - Stefan Feuerriegel; Foster J. Provost; Galit Shmueli (Dagstuhl Reports, 2024)

Designing electricity distribution networks: The impact of demand coincidence. - Gunther Gust; Alexander Schlüter; Stefan Feuerriegel; Ignacio Úbeda; Jonathan T. Lee; Dirk Neumann 001 (Eur. J. Oper. Res., 2024)

Comparing the Willingness to Share for Human-generated vs. AI-generated Fake News. - Amirsiavosh Bashardoust; Stefan Feuerriegel; Yash Raj Shrestha (Proc. ACM Hum. Comput. Interact., 2024)

Analyzing the Strategy of Propaganda using Inverse Reinforcement Learning: Evidence from the 2022 Russian Invasion of Ukraine. - Dominique Geissler; Stefan Feuerriegel (Proc. ACM Hum. Comput. Interact., 2024)

Which Linguistic Cues Make People Fall for Fake News? A Comparison of Cognitive and Affective Processing. - Bernhard Lutz; Marc T. P. Adam; Stefan Feuerriegel; Nicolas Pröllochs; Dirk Neumann 001 (Proc. ACM Hum. Comput. Interact., 2024)

The Virality of Hate Speech on Social Media. - Abdurahman Maarouf; Nicolas Pröllochs; Stefan Feuerriegel (Proc. ACM Hum. Comput. Interact., 2024)

A Globally Convergent Algorithm for Neural Network Parameter Optimization Based on Difference-of-Convex Functions. - Daniel Tschernutter; Mathias Kraus; Stefan Feuerriegel (Trans. Mach. Learn. Res., 2024)

Data-Driven Allocation of Preventive Care with Application to Diabetes Mellitus Type II. - Mathias Kraus; Stefan Feuerriegel; Maytal Saar-Tsechansky (Manuf. Serv. Oper. Manag., 2024)

Generative AI. - Stefan Feuerriegel; Jochen Hartmann 001; Christian Janiesch; Patrick Zschech (Bus. Inf. Syst. Eng., 2024)

Context-Adaptive Visual Cues for Safe Navigation in Augmented Reality Using Machine Learning. - Arne Seeliger; Raphael P. Weibel; Stefan Feuerriegel (Int. J. Hum. Comput. Interact., 2024)

Affective information processing of fake news: evidence from NeuroIS. - Bernhard Lutz; Marc T. P. Adam; Stefan Feuerriegel; Nicolas Pröllochs; Dirk Neumann 001 (Eur. J. Inf. Syst., 2024)

Model-agnostic meta-learners for estimating heterogeneous treatment effects over time. - Dennis Frauen; Konstantin Hess; Stefan Feuerriegel (ICLR, 2025)

Stabilized Neural Prediction of Potential Outcomes in Continuous Time. - Konstantin Hess; Stefan Feuerriegel (ICLR, 2025)

Differentially private learners for heterogeneous treatment effects. - Maresa Schröder; Valentyn Melnychuk; Stefan Feuerriegel (ICLR, 2025)

Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets. - Yuxin Wang; Maresa Schröder; Dennis Frauen; Jonas Schweisthal; Konstantin Hess; Stefan Feuerriegel (ICLR, 2025)

Analyzing User Characteristics of Hate Speech Spreaders on Social Media. - Dominique Geissler; Abdurahman Maarouf; Stefan Feuerriegel (WWW, 2025)

A fused large language model for predicting startup success. - Abdurahman Maarouf; Stefan Feuerriegel; Nicolas Pröllochs (Eur. J. Oper. Res., 2025)

Data-driven dynamic police patrolling: An efficient Monte Carlo tree search. - Daniel Tschernutter; Stefan Feuerriegel (Eur. J. Oper. Res., 2025)

Machine learning for predicting used car resale prices using granular vehicle equipment information. - Svenja Bergmann; Stefan Feuerriegel (Expert Syst. Appl., 2025)

A Qualitative Analysis of Remote Patient Monitoring: How a Paradox Mindset Can Support Balancing Emotional Tensions in the Design of Healthcare Technologies. - Zoe Jonassen; Katharine Lawrence; Batia Mishan Wiesenfeld; Stefan Feuerriegel; Devin M. Mann (Proc. ACM Hum. Comput. Interact., 2025)

Contextualizing Recommendation Explanations with LLMs: A User Study. - Yuanjun Feng; Stefan Feuerriegel; Yash Raj Shrestha (CoRR, 2025)

Orthogonal Representation Learning for Estimating Causal Quantities. - Valentyn Melnychuk; Dennis Frauen; Jonas Schweisthal; Stefan Feuerriegel (CoRR, 2025)

Efficient and Sharp Off-Policy Learning under Unobserved Confounding. - Konstantin Hess; Dennis Frauen; Valentyn Melnychuk; Stefan Feuerriegel (CoRR, 2025)

Beware of "Explanations" of AI. - David Martens; Galit Shmueli; Theodoros Evgeniou; Kevin Bauer; Christian Janiesch; Stefan Feuerriegel; Sebastian Gabel; Sofie Goethals; Travis Greene; Nadja Klein; Mathias Kraus; Niklas Kühl 001; et al. (CoRR, 2025)

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data. - Dennis Frauen; Maresa Schröder; Konstantin Hess; Stefan Feuerriegel (CoRR, 2025)

Treatment Effect Estimation for Optimal Decision-Making. - Dennis Frauen; Valentyn Melnychuk; Jonas Schweisthal; Mihaela van der Schaar; Stefan Feuerriegel (CoRR, 2025)

Generative AI and Creativity: A Systematic Literature Review and Meta-Analysis. - Niklas Holzner; Sebastian Maier; Stefan Feuerriegel (CoRR, 2025)

PrivATE: Differentially Private Confidence Intervals for Average Treatment Effects. - Maresa Schröder; Justin Hartenstein; Stefan Feuerriegel (CoRR, 2025)

Algorithms for reliable decision-making need causal reasoning. - Christoph Kern 001; Unai Fischer Abaigar; Jonas Schweisthal; Dennis Frauen; Rayid Ghani; Stefan Feuerriegel; Mihaela van der Schaar; Frauke Kreuter (Nat. Comput. Sci., 2025)

A Diffusion-Based Method for Learning the Multi-Outcome Distribution of Medical Treatments. - Yuchen Ma 005; Jonas Schweisthal; Hengrui Zhang; Stefan Feuerriegel (CoRR, 2025)

Foundation Models for Causal Inference via Prior-Data Fitted Networks. - Yuchen Ma 005; Dennis Frauen; Emil Javurek; Stefan Feuerriegel (CoRR, 2025)

LLM-Driven Treatment Effect Estimation Under Inference Time Text Confounding. - Yuchen Ma 005; Dennis Frauen; Jonas Schweisthal; Stefan Feuerriegel (CoRR, 2025)

Personalized Exercise Recommendation with Semantically-Grounded Knowledge Tracing. - Yilmazcan Özyurt; Tunaberk Almaci; Stefan Feuerriegel; Mrinmaya Sachan (CoRR, 2025)

Digital literacy interventions can boost humans in discerning deepfakes. - Dominique Geissler; Claire Robertson; Stefan Feuerriegel (CoRR, 2025)