Stefan Feuerriegel
Orcid: 0000-0001-7856-8729Affiliations:
- 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 171 papers
between 2012 and 2025.
Collaborative distances:
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Bibliography
2025
Machine learning for predicting used car resale prices using granular vehicle equipment information.
Expert Syst. Appl., 2025
Eur. J. Oper. Res., 2025
2024
Eur. J. Inf. Syst., September, 2024
Context-Adaptive Visual Cues for Safe Navigation in Augmented Reality Using Machine Learning.
Int. J. Hum. Comput. Interact., February, 2024
Data-Driven Allocation of Preventive Care with Application to Diabetes Mellitus Type II.
Manuf. Serv. Oper. Manag., January, 2024
A Globally Convergent Algorithm for Neural Network Parameter Optimization Based on Difference-of-Convex Functions.
Trans. Mach. Learn. Res., 2024
Which Linguistic Cues Make People Fall for Fake News? A Comparison of Cognitive and Affective Processing.
Proc. ACM Hum. Comput. Interact., 2024
Analyzing the Strategy of Propaganda using Inverse Reinforcement Learning: Evidence from the 2022 Russian Invasion of Ukraine.
Proc. ACM Hum. Comput. Interact., 2024
Proc. ACM Hum. Comput. Interact., 2024
Eur. J. Oper. Res., 2024
Learning Representations of Instruments for Partial Identification of Treatment Effects.
CoRR, 2024
CoRR, 2024
Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge Tracing.
CoRR, 2024
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time.
CoRR, 2024
CoRR, 2024
Data-driven subgrouping of patient trajectories with chronic diseases: Evidence from low back pain.
CoRR, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Causal Learning and Reasoning, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
EPJ Data Sci., December, 2023
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
Eur. J. Oper. Res., 2023
CoRR, 2023
Auditing Targeted Political Advertising on Social Media During the 2021 German Election.
CoRR, 2023
A comparison of short-term probabilistic forecasts for the incidence of COVID-19 using mechanistic and statistical time series models.
CoRR, 2023
Addressing distributional shifts in operations management: The case of order fulfillment in customized production.
CoRR, 2023
Proceedings of the 15th ACM Web Science Conference 2023, 2023
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
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
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023
Proceedings of the International Conference on Machine Learning, 2023
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
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
Proceedings of the IEEE International Conference on Big Data, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
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
Using Explainable Artificial Intelligence to Improve Process Quality: Evidence from Semiconductor Manufacturing.
Manag. Sci., 2022
CoRR, 2022
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
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
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
Proceedings of the International Conference on Machine Learning, 2022
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
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
IEEE Access, 2021
Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies.
Proceedings of the Machine Learning for Health, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
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
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
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
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
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
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020
Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020
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
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
Sample Complexity Bounds for Recurrent Neural Networks with Application to Combinatorial Graph Problems.
CoRR, 2019
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
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
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
Decis. Support Syst., 2018
Decision support with text-based emotion recognition: Deep learning for affective computing.
CoRR, 2018
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
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
Driven by News Tone? Understanding Information Processing when Covariates are Unknown: The Case of Natural Gas Price Movements.
Proceedings of the Multikonferenz Wirtschaftsinformatik, 2016
Time Series Analysis for Big Data: Evaluating Bayesian Structural Time Series using Electricity Prices.
Proceedings of the Multikonferenz Wirtschaftsinformatik, 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
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
Proceedings of the 24th European Conference on Information Systems, 2016
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
Proceedings of the 48th Hawaii International Conference on System Sciences, 2015
Proceedings of the 48th Hawaii International Conference on System Sciences, 2015
Proceedings of the 23rd European Conference on Information Systems, 2015
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
Proceedings of the 47th Hawaii International Conference on System Sciences, 2014
Proceedings of the Enterprise Applications and Services in the Finance Industry, 2014
Proceedings of the Enterprise Applications and Services in the Finance Industry, 2014
Proceedings of the 22st European Conference on Information Systems, 2014
Proceedings of the 22st European Conference on Information Systems, 2014
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
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
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
Proceedings of the Design Science at the Intersection of Physical and Virtual Design, 2013
2012
Proceedings of the International Conference on Information Systems, 2012