Stefan Feuerriegel

Orcid: 0000-0001-7856-8729

Affiliations:
  • Ludwig Maximilians University of Munich, Institute of AI in Management, Germany
  • ETH Zurich, Switzerland (former)
  • Albert-Ludwigs-Universität Freiburg, Germany (former)


According to our database1, Stefan Feuerriegel authored at least 153 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Context-Adaptive Visual Cues for Safe Navigation in Augmented Reality Using Machine Learning.
Int. J. Hum. Comput. Interact., February, 2024

Generative AI.
Bus. Inf. Syst. Eng., February, 2024

Data-Driven Allocation of Preventive Care with Application to Diabetes Mellitus Type II.
Manuf. Serv. Oper. Manag., January, 2024

Comparing the willingness to share for human-generated vs. AI-generated fake news.
CoRR, 2024

Causal Machine Learning for Cost-Effective Allocation of Development Aid.
CoRR, 2024

A Globally Convergent Algorithm for Neural Network Parameter Optimization Based on Difference-of-Convex Functions.
CoRR, 2024

2023
Russian propaganda on social media during the 2022 invasion of Ukraine.
EPJ Data Sci., December, 2023

New Threats to Society from Free-Speech Social Media Platforms.
Commun. ACM, October, 2023

Mechanisms of True and False Rumor Sharing in Social Media: Collective Intelligence or Herd Behavior?
Proc. ACM Hum. Comput. Interact., 2023

Building open-source AI.
Nat. Comput. Sci., 2023

Data-driven dynamic treatment planning for chronic diseases.
Eur. J. Oper. Res., 2023

Designing Electricity Distribution Networks: The Impact of Demand Coincidence.
CoRR, 2023

Which linguistic cues make people fall for fake news? A comparison of cognitive and affective processing.
CoRR, 2023

Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework.
CoRR, 2023

A Neural Framework for Generalized Causal Sensitivity Analysis.
CoRR, 2023

Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation.
CoRR, 2023

Counterfactual Fairness for Predictions using Generative Adversarial Networks.
CoRR, 2023

Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation.
CoRR, 2023

Causal Understanding of Why Users Share Hate Speech on Social Media.
CoRR, 2023

In-Context Few-Shot Relation Extraction via Pre-Trained Language Models.
CoRR, 2023

Auditing Targeted Political Advertising on Social Media During the 2021 German Election.
CoRR, 2023

Analyzing the Strategy of Propaganda using Inverse Reinforcement Learning: Evidence from the 2022 Russian Invasion of Ukraine.
CoRR, 2023

A comparison of short-term probabilistic forecasts for the incidence of COVID-19 using mechanistic and statistical time series models.
CoRR, 2023

HQP: A Human-Annotated Dataset for Detecting Online Propaganda.
CoRR, 2023

Addressing distributional shifts in operations management: The case of order fulfillment in customized production.
CoRR, 2023

Fair Off-Policy Learning from Observational Data.
CoRR, 2023

Analyzing Social Media Activities at Bellingcat.
Proceedings of the 15th ACM Web Science Conference 2023, 2023

Reliable Off-Policy Learning for Dosage Combinations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Sharp Bounds for Generalized Causal Sensitivity Analysis.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Online Emotions during the Storming of the U.S. Capitol: Evidence from the Social Media Network Parler.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

Finding Qs: Profiling QAnon Supporters on Parler.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

Normalizing Flows for Interventional Density Estimation.
Proceedings of the International Conference on Machine Learning, 2023

Contrastive Learning for Unsupervised Domain Adaptation of Time Series.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Estimating individual treatment effects under unobserved confounding using binary instruments.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

DSG: An End-to-End Document Structure Generator.
Proceedings of the IEEE International Conference on Data Mining, 2023

Leveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk driving.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Locating disparities in machine learning.
Proceedings of the IEEE International Conference on Big Data, 2023

Estimating Conditional Average Treatment Effects with Missing Treatment Information.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Estimating Average Causal Effects from Patient Trajectories.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
"Is It My Turn?": Assessing Teamwork and Taskwork in Collaborative Immersive Analytics.
Proc. ACM Hum. Comput. Interact., 2022

Bringing artificial intelligence to business management.
Nat. Mach. Intell., 2022

I Will Survive: Predicting Business Failures from Customer Ratings.
Mark. Sci., 2022

Using Explainable Artificial Intelligence to Improve Process Quality: Evidence from Semiconductor Manufacturing.
Manag. Sci., 2022

A sociotechnical view of algorithmic fairness.
Inf. Syst. J., 2022

The Virality of Hate Speech on Social Media.
CoRR, 2022

Detecting User Exits from Online Behavior: A Duration-Dependent Latent State Model.
CoRR, 2022

Algorithmic Fairness in Business Analytics: Directions for Research and Practice.
CoRR, 2022

Mechanisms of True and False Rumor Sharing in Social Media: Wisdom-of-Crowds or Herd Behavior?
CoRR, 2022

Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects.
CoRR, 2022

Artificial intelligence across company borders.
Commun. ACM, 2022

The Cost of Fairness in AI: Evidence from E-Commerce.
Bus. Inf. Syst. Eng., 2022

A Deep Markov Model for Clickstream Analytics in Online Shopping.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Detecting False Rumors from Retweet Dynamics on Social Media.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Web Mining to Inform Locations of Charging Stations for Electric Vehicles.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Generalizing off-policy learning under sample selection bias.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine.
Proceedings of the Machine Learning for Healthcare Conference, 2022

Mining Points-of-Interest Data to Predict Urban Inequality: Evidence from Germany and France.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Interpretable Off-Policy Learning via Hyperbox Search.
Proceedings of the International Conference on Machine Learning, 2022

Causal Transformer for Estimating Counterfactual Outcomes.
Proceedings of the International Conference on Machine Learning, 2022

QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Emotions in online rumor diffusion.
EPJ Data Sci., 2021

Directed particle swarm optimization with Gaussian-process-based function forecasting.
Eur. J. Oper. Res., 2021

Investor Reaction to Financial Disclosures across Topics: An Application of Latent Dirichlet Allocation.
Decis. Sci., 2021

Sequential Deconfounding for Causal Inference with Unobserved Confounders.
CoRR, 2021

Interface Design for Human-Machine Collaborations in Drone Management.
IEEE Access, 2021

Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies.
Proceedings of the Machine Learning for Health, 2021

Predicting COVID-19 Spread from Large-Scale Mobility Data.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Exploring the Effect of Visual Cues on Eye Gaze During AR-Guided Picking and Assembly Tasks.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality Adjunct, 2021

Contrastive Domain Adaptation for Question Answering using Limited Text Corpora.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Estimating Average Treatment Effects via Orthogonal Regularization.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Modeling longitudinal dynamics of comorbidities.
Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021

A Latent Customer Flow Model for Interpretable Predictions of Check-In Counts.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

DocParser: Hierarchical Document Structure Parsing from Renderings.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Negation scope detection for sentiment analysis: A reinforcement learning framework for replicating human interpretations.
Inf. Sci., 2020

Business analytics for strategic management: Identifying and assessing corporate challenges via topic modeling.
Inf. Manag., 2020

Deep learning in business analytics and operations research: Models, applications and managerial implications.
Eur. J. Oper. Res., 2020

Longitudinal healthcare analytics for disease management: Empirical demonstration for low back pain.
Decis. Support Syst., 2020

Practical Annotation Strategies for Question Answering Datasets.
CoRR, 2020

Fair AI.
Bus. Inf. Syst. Eng., 2020

Mining Points-of-Interest for Explaining Urban Phenomena: A Scalable Variational Inference Approach.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

One Picture Is Worth a Thousand Words? The Pricing Power of Images in e-Commerce.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Early Detection of User Exits from Clickstream Data: A Markov Modulated Marked Point Process Model.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Cascade-LSTM: A Tree-Structured Neural Classifier for Detecting Misinformation Cascades.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Leveraging Mobility Flows from Location Technology Platforms to Test Crime Pattern Theory in Large Cities.
Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

Learning a Cost-Effective Annotation Policy for Question Answering.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

IntKB: A Verifiable Interactive Framework for Knowledge Base Completion.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Towards Wearable-based Hypoglycemia Detection and Warning in Diabetes.
Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

ALEEDSA: Augmented Reality for Interactive Machine Learning.
Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

Estimating Risk-Adjusted Hospital Performance.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Sample Complexity Bounds for RNNs with Application to Combinatorial Graph Problems (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Putting Question-Answering Systems into Practice: Transfer Learning for Efficient Domain Customization.
ACM Trans. Manag. Inf. Syst., 2019

ReinforcementLearning: A Package to Perform Model-Free Reinforcement Learning in R.
J. Open Source Softw., 2019

Sentiment analysis based on rhetorical structure theory: Learning deep neural networks from discourse trees.
Expert Syst. Appl., 2019

News-based forecasts of macroeconomic indicators: A semantic path model for interpretable predictions.
Eur. J. Oper. Res., 2019

Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences.
Decis. Support Syst., 2019

Public decision support for low population density areas: An imbalance-aware hyper-ensemble for spatio-temporal crime prediction.
Decis. Support Syst., 2019

DocParser: Hierarchical Structure Parsing of Document Renderings.
CoRR, 2019

Sample Complexity Bounds for Recurrent Neural Networks with Application to Combinatorial Graph Problems.
CoRR, 2019

Learning from On-Line User Feedback in Neural Question Answering on the Web.
Proceedings of the World Wide Web Conference, 2019

Learning Interpretable Negation Rules via Weak Supervision at Document Level: A Reinforcement Learning Approach.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Bringing Advanced Analytics to Manufacturing: A Systematic Mapping.
Proceedings of the Advances in Production Management Systems. Production Management for the Factory of the Future, 2019

Improving heart rate variability measurements from consumer smartwatches with machine learning.
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

RankQA: Neural Question Answering with Answer Re-Ranking.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Modeling interferences in information systems design for cyberphysical systems: Insights from a smart grid application.
Eur. J. Inf. Syst., 2018

Deep learning for affective computing: Text-based emotion recognition in decision support.
Decis. Support Syst., 2018

Long-term stock index forecasting based on text mining of regulatory disclosures.
Decis. Support Syst., 2018

Reinforcement Learning in R.
CoRR, 2018

Decision support with text-based emotion recognition: Deep learning for affective computing.
CoRR, 2018

Adaptive Document Retrieval for Deep Question Answering.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Information Processing of Financial News: The Role of Cognitive Dissonance and Information Avoidance.
Proceedings of the 26th European Conference on Information Systems: Beyond Digitization, 2018

2017
Crossing the next frontier: the role of ICT in driving the financialization of credit.
J. Inf. Technol., 2017

Making the most of fleets: A profit-maximizing multi-vehicle pickup and delivery selection problem.
Eur. J. Oper. Res., 2017

Decision support from financial disclosures with deep neural networks and transfer learning.
Decis. Support Syst., 2017

Language That Matters: Statistical Inferences for Polarity Identification in Natural Language.
CoRR, 2017

Understanding Negations in Information Processing: Learning from Replicating Human Behavior.
CoRR, 2017

Understanding Consumer Behavior in Electronic Commerce with Image Sentiment.
Proceedings of the Towards Thought Leadership in Digital Transformation: 13. Internationale Tagung Wirtschaftsinformatik, 2017

Setting the Right Tone: How Data Science Enables Investor Communication to Choose the Right Language.
Proceedings of the Towards Thought Leadership in Digital Transformation: 13. Internationale Tagung Wirtschaftsinformatik, 2017

Improving Sentiment Analysis with Document-Level Semantic Relationships from Rhetoric Discourse Structures.
Proceedings of the 50th Hawaii International Conference on System Sciences, 2017

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

Negation scope detection in sentiment analysis: Decision support for news-driven trading.
Decis. Support Syst., 2016

News-based trading strategies.
Decis. Support Syst., 2016

Is Human Information Processing Affected by Emotional Content? Understanding The Role of Facts and Emotions in the Stock Market.
Proceedings of the International Conference on Information Systems, 2016

Detecting Negation Scopes for Financial News Sentiment Using Reinforcement Learning.
Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

Decision Model for Sustainable Electricity Procurement Using Nationwide Demand Response.
Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

Analysis of How Underlying Topics in Financial News Affect Stock Prices Using Latent Dirichlet Allocation.
Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

Business Intelligence for Business Processes: the Case of IT Incident Management.
Proceedings of the 24th European Conference on Information Systems, 2016

Improving Decision Analytics with Deep Learning: the Case of Financial Disclosures.
Proceedings of the 24th European Conference on Information Systems, 2016

2015
Putting Big Data analytics to work: Feature selection for forecasting electricity prices using the LASSO and random forests.
J. Decis. Syst., 2015

The Non-Symmetric s-Step Lanczos Algorithm: Derivation Of Efficient Recurrences And Synchronization-Reducing Variants Of BiCG And QMR.
Int. J. Appl. Math. Comput. Sci., 2015

Information Processing of Foreign Exchange News: Extending the Overshooting Model to Include Qualitative Information from News Sentiment.
Proceedings of the International Conference on Information Systems, 2015

Enhancing Sentiment Analysis of Financial News by Detecting Negation Scopes.
Proceedings of the 48th Hawaii International Conference on System Sciences, 2015

Do Investors Read Too Much into News? How News Sentiment Causes Price Formation.
Proceedings of the 48th Hawaii International Conference on System Sciences, 2015

Generating Domain-Specific Dictionaries using Bayesian Learning.
Proceedings of the 23rd European Conference on Information Systems, 2015

Is News Sentiment More Than Just Noise?
Proceedings of the 23rd European Conference on Information Systems, 2015

2014
Emergency response in natural disaster management: Allocation and scheduling of rescue units.
Eur. J. Oper. Res., 2014

Long- and Short-Term Impact of News Messages on House Prices: A Comparative Study of Spain and the United States.
Proceedings of the International Conference on Information Systems, 2014

News Processing during Speculative Bubbles: Evidence from the Oil Market.
Proceedings of the 47th Hawaii International Conference on System Sciences, 2014

Finding Evidence of Irrational Exuberance in the Oil Market.
Proceedings of the Enterprise Applications and Services in the Finance Industry, 2014

Evaluation of News-Based Trading Strategies.
Proceedings of the Enterprise Applications and Services in the Finance Industry, 2014

A Multi-Vehicle Profitable pickup and Delivery Selection Problem with Time Windows.
Proceedings of the 22st European Conference on Information Systems, 2014

Predictive Analytics for electricity prices using Feed-INS from renewables.
Proceedings of the 22st European Conference on Information Systems, 2014

Costs of Integrating demand response Systems in electricity Markets.
Proceedings of the 22st European Conference on Information Systems, 2014

2013
A Household-Oriented Approach to The Benefits of Vehicle-To-Grid-Capable Electric Vehicles.
Proceedings of the 11. Internationale Tagung Wirtschaftsinformatik, 2013

News or Noise? How News Drives Commodity Prices.
Proceedings of the International Conference on Information Systems, 2013

Shaping a Sustainable Society: How Information Systems Utilize Hidden Synergies between Green Technologies.
Proceedings of the International Conference on Information Systems, 2013

A Normalization Scheme for the Non-symmetric s-Step Lanczos Algorithm.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2013

Synchronization-Reducing Variants of the Biconjugate Gradient and the Quasi-Minimal Residual Methods.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2013

Is More Information Better Than Less? Understanding The Impact Of Demand Response Mechanisms In Energy Markets.
Proceedings of the 21st European Conference on Information Systems, 2013

Design Science in Practice: Designing an Electricity Demand Response System.
Proceedings of the Design Science at the Intersection of Physical and Virtual Design, 2013

2012
Reducing Price Uncertainty through Demand Side Management.
Proceedings of the International Conference on Information Systems, 2012


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