default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDStefan Feuerriegel
Person information
- affiliation: Ludwig Maximilians University of Munich, Institute of AI in Management, Germany
- affiliation (former): ETH Zurich, Switzerland
- affiliation (former): Albert-Ludwigs-Universität Freiburg, Germany
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
Journal Articles
- 2025
[j53]Daniel Tschernutter
, Stefan Feuerriegel:
Data-driven dynamic police patrolling: An efficient Monte Carlo tree search. Eur. J. Oper. Res. 321(1): 177-191 (2025)- [j52]Abdurahman Maarouf, Stefan Feuerriegel, Nicolas Pröllochs:
A fused large language model for predicting startup success. Eur. J. Oper. Res. 322(1): 198-214 (2025) - [j51]Svenja Bergmann, Stefan Feuerriegel:
Machine learning for predicting used car resale prices using granular vehicle equipment information. Expert Syst. Appl. 263: 125640 (2025) - [j50]Christoph Kern, Unai Fischer Abaigar, Jonas Schweisthal, Dennis Frauen, Rayid Ghani, Stefan Feuerriegel, Mihaela van der Schaar, Frauke Kreuter:
Algorithms for reliable decision-making need causal reasoning. Nat. Comput. Sci. 5(5): 356-360 (2025) - 2024
- [j49]Stefan Feuerriegel, Jochen Hartmann, Christian Janiesch, Patrick Zschech:
Generative AI. Bus. Inf. Syst. Eng. 66(1): 111-126 (2024) - [j48]Bernhard Lutz, Marc T. P. Adam, Stefan Feuerriegel, Nicolas Pröllochs, Dirk Neumann:
Affective information processing of fake news: evidence from NeuroIS. Eur. J. Inf. Syst. 33(5): 654-673 (2024) - [j47]Gunther Gust, Alexander Schlüter, Stefan Feuerriegel, Ignacio Úbeda, Jonathan T. Lee, Dirk Neumann:
Designing electricity distribution networks: The impact of demand coincidence. Eur. J. Oper. Res. 315(1): 271-288 (2024) - [j46]Arne Seeliger, Raphael P. Weibel, Stefan Feuerriegel:
Context-Adaptive Visual Cues for Safe Navigation in Augmented Reality Using Machine Learning. Int. J. Hum. Comput. Interact. 40(3): 761-781 (2024) - [j45]Mathias Kraus, Stefan Feuerriegel, Maytal Saar-Tsechansky:
Data-Driven Allocation of Preventive Care with Application to Diabetes Mellitus Type II. Manuf. Serv. Oper. Manag. 26(1): 137-153 (2024) - [j44]Bernhard Lutz, Marc T. P. Adam, Stefan Feuerriegel, Nicolas Pröllochs, Dirk Neumann:
Which Linguistic Cues Make People Fall for Fake News? A Comparison of Cognitive and Affective Processing. Proc. ACM Hum. Comput. Interact. 8(CSCW1): 1-22 (2024) - [j43]Abdurahman Maarouf, Nicolas Pröllochs, Stefan Feuerriegel:
The Virality of Hate Speech on Social Media. Proc. ACM Hum. Comput. Interact. 8(CSCW1): 1-22 (2024) - [j42]Amirsiavosh Bashardoust, Stefan Feuerriegel, Yash Raj Shrestha:
Comparing the Willingness to Share for Human-generated vs. AI-generated Fake News. Proc. ACM Hum. Comput. Interact. 8(CSCW2): 1-21 (2024) - [j41]Dominique Geissler, Stefan Feuerriegel:
Analyzing the Strategy of Propaganda using Inverse Reinforcement Learning: Evidence from the 2022 Russian Invasion of Ukraine. Proc. ACM Hum. Comput. Interact. 8(CSCW2): 1-25 (2024) - [j40]Daniel Tschernutter, Mathias Kraus, Stefan Feuerriegel:
A Globally Convergent Algorithm for Neural Network Parameter Optimization Based on Difference-of-Convex Functions. Trans. Mach. Learn. Res. 2024 (2024) - 2023
- [j39]Dominik Bär, Nicolas Pröllochs, Stefan Feuerriegel:
New Threats to Society from Free-Speech Social Media Platforms. Commun. ACM 66(10): 37-40 (2023) - [j38]Christof Naumzik, Stefan Feuerriegel, Anne Molgaard Nielsen:
Data-driven dynamic treatment planning for chronic diseases. Eur. J. Oper. Res. 305(2): 853-867 (2023) - [j37]Dominique Geissler, Dominik Bär, Nicolas Pröllochs, Stefan Feuerriegel:
Russian propaganda on social media during the 2022 invasion of Ukraine. EPJ Data Sci. 12(1): 35 (2023) - [j36]Yash Raj Shrestha, Georg von Krogh, Stefan Feuerriegel:
Building open-source AI. Nat. Comput. Sci. 3(11): 908-911 (2023) - [j35]Nicolas Pröllochs, Stefan Feuerriegel:
Mechanisms of True and False Rumor Sharing in Social Media: Collective Intelligence or Herd Behavior? Proc. ACM Hum. Comput. Interact. 7(CSCW2): 1-38 (2023) - 2022
- [j34]Moritz von Zahn, Stefan Feuerriegel, Niklas Kuehl:
The Cost of Fairness in AI: Evidence from E-Commerce. Bus. Inf. Syst. Eng. 64(3): 335-348 (2022) - [j33]Olga Fink, Torbjørn H. Netland, Stefan Feuerriegel:
Artificial intelligence across company borders. Commun. ACM 65(1): 34-36 (2022) - [j32]Mateusz Dolata, Stefan Feuerriegel, Gerhard Schwabe:
A sociotechnical view of algorithmic fairness. Inf. Syst. J. 32(4): 754-818 (2022) - [j31]Julian Senoner, Torbjørn H. Netland, Stefan Feuerriegel:
Using Explainable Artificial Intelligence to Improve Process Quality: Evidence from Semiconductor Manufacturing. Manag. Sci. 68(8): 5704-5723 (2022) - [j30]Christof Naumzik, Stefan Feuerriegel, Markus Weinmann:
I Will Survive: Predicting Business Failures from Customer Ratings. Mark. Sci. 41(1): 188-207 (2022) - [j29]Stefan Feuerriegel, Yash Raj Shrestha, Georg von Krogh, Ce Zhang:
Bringing artificial intelligence to business management. Nat. Mach. Intell. 4(7): 611-613 (2022) - [j28]Michaela Benk, Raphael Weibel, Stefan Feuerriegel, Andrea Ferrario:
"Is It My Turn?": Assessing Teamwork and Taskwork in Collaborative Immersive Analytics. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-23 (2022) - 2021
- [j27]Stefan Feuerriegel, Rúben Geraldes, Artur Goncalves, Ziqi Liu, Helmut Prendinger:
Interface Design for Human-Machine Collaborations in Drone Management. IEEE Access 9: 107462-107475 (2021) - [j26]Stefan Feuerriegel, Nicolas Pröllochs:
Investor Reaction to Financial Disclosures across Topics: An Application of Latent Dirichlet Allocation. Decis. Sci. 52(3): 608-628 (2021) - [j25]Johannes Jakubik, Adrian Binding, Stefan Feuerriegel:
Directed particle swarm optimization with Gaussian-process-based function forecasting. Eur. J. Oper. Res. 295(1): 157-169 (2021) - [j24]Nicolas Pröllochs, Dominik Bär, Stefan Feuerriegel:
Emotions in online rumor diffusion. EPJ Data Sci. 10(1): 51 (2021) - 2020
- [j23]Stefan Feuerriegel, Mateusz Dolata, Gerhard Schwabe:
Fair AI. Bus. Inf. Syst. Eng. 62(4): 379-384 (2020) - [j22]Michael Mueller-Peltzer, Stefan Feuerriegel, Anne Molgaard Nielsen, Alice Kongsted, Werner Vach, Dirk Neumann:
Longitudinal healthcare analytics for disease management: Empirical demonstration for low back pain. Decis. Support Syst. 132: 113271 (2020) - [j21]Mathias Kraus, Stefan Feuerriegel, Asil Oztekin:
Deep learning in business analytics and operations research: Models, applications and managerial implications. Eur. J. Oper. Res. 281(3): 628-641 (2020) - [j20]Nicolas Pröllochs, Stefan Feuerriegel:
Business analytics for strategic management: Identifying and assessing corporate challenges via topic modeling. Inf. Manag. 57(1) (2020) - [j19]Nicolas Pröllochs, Stefan Feuerriegel, Bernhard Lutz, Dirk Neumann:
Negation scope detection for sentiment analysis: A reinforcement learning framework for replicating human interpretations. Inf. Sci. 536: 205-221 (2020) - 2019
- [j18]Cristina Kadar, Rudolf Maculan, Stefan Feuerriegel:
Public decision support for low population density areas: An imbalance-aware hyper-ensemble for spatio-temporal crime prediction. Decis. Support Syst. 119: 107-117 (2019) - [j17]Mathias Kraus, Stefan Feuerriegel:
Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences. Decis. Support Syst. 125 (2019) - [j16]Stefan Feuerriegel, Julius Gordon:
News-based forecasts of macroeconomic indicators: A semantic path model for interpretable predictions. Eur. J. Oper. Res. 272(1): 162-175 (2019) - [j15]Mathias Kraus, Stefan Feuerriegel:
Sentiment analysis based on rhetorical structure theory: Learning deep neural networks from discourse trees. Expert Syst. Appl. 118: 65-79 (2019) - [j14]Nicolas Pröllochs, Stefan Feuerriegel:
ReinforcementLearning: A Package to Perform Model-Free Reinforcement Learning in R. J. Open Source Softw. 4(38): 1087 (2019) - [j13]Bernhard Kratzwald, Stefan Feuerriegel:
Putting Question-Answering Systems into Practice: Transfer Learning for Efficient Domain Customization. ACM Trans. Manag. Inf. Syst. 9(4): 15:1-15:20 (2019) - 2018
- [j12]Stefan Feuerriegel, Julius Gordon:
Long-term stock index forecasting based on text mining of regulatory disclosures. Decis. Support Syst. 112: 88-97 (2018) - [j11]Bernhard Kratzwald, Suzana Ilic, Mathias Kraus, Stefan Feuerriegel, Helmut Prendinger:
Deep learning for affective computing: Text-based emotion recognition in decision support. Decis. Support Syst. 115: 24-35 (2018) - [j10]Tobias Brandt, Stefan Feuerriegel, Dirk Neumann:
Modeling interferences in information systems design for cyberphysical systems: Insights from a smart grid application. Eur. J. Inf. Syst. 27(2): 207-220 (2018) - 2017
- [j9]Mathias Kraus, Stefan Feuerriegel:
Decision support from financial disclosures with deep neural networks and transfer learning. Decis. Support Syst. 104: 38-48 (2017) - [j8]Xiaoqiu Qiu, Stefan Feuerriegel, Dirk Neumann:
Making the most of fleets: A profit-maximizing multi-vehicle pickup and delivery selection problem. Eur. J. Oper. Res. 259(1): 155-168 (2017) - [j7]Daniel Drummer, Stefan Feuerriegel, Dirk Neumann:
Crossing the next frontier: the role of ICT in driving the financialization of credit. J. Inf. Technol. 32(3): 218-233 (2017) - 2016
- [j6]Nicolas Pröllochs, Stefan Feuerriegel, Dirk Neumann:
Negation scope detection in sentiment analysis: Decision support for news-driven trading. Decis. Support Syst. 88: 67-75 (2016) - [j5]Stefan Feuerriegel, Helmut Prendinger:
News-based trading strategies. Decis. Support Syst. 90: 65-74 (2016) - [j4]Stefan Feuerriegel:
Decision support in healthcare: determining provider influence on treatment outcomes with robust risk adjustment. J. Decis. Syst. 25(4): 371-390 (2016) - 2015
- [j3]Stefan Feuerriegel, H. Martin Bücker:
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. 25(4): 769-785 (2015) - [j2]Nicole Ludwig, Stefan Feuerriegel, Dirk Neumann:
Putting Big Data analytics to work: Feature selection for forecasting electricity prices using the LASSO and random forests. J. Decis. Syst. 24(1): 19-36 (2015) - 2014
- [j1]Felix Wex, Guido Schryen, Stefan Feuerriegel, Dirk Neumann:
Emergency response in natural disaster management: Allocation and scheduling of rescue units. Eur. J. Oper. Res. 235(3): 697-708 (2014)
Conference and Workshop Papers
- 2025
- [c98]Dennis Frauen, Konstantin Hess, Stefan Feuerriegel:
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time. ICLR 2025 - [c97]Konstantin Hess, Stefan Feuerriegel:
Stabilized Neural Prediction of Potential Outcomes in Continuous Time. ICLR 2025 - [c96]Maresa Schröder, Valentyn Melnychuk, Stefan Feuerriegel:
Differentially private learners for heterogeneous treatment effects. ICLR 2025 - [c95]Yuxin Wang, Maresa Schröder, Dennis Frauen, Jonas Schweisthal, Konstantin Hess, Stefan Feuerriegel:
Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets. ICLR 2025 - [c94]Dominique Geissler, Abdurahman Maarouf, Stefan Feuerriegel:
Analyzing User Characteristics of Hate Speech Spreaders on Social Media. WWW 2025: 5085-5095 - 2024
- [c93]Abdurahman Maarouf, Dominik Bär, Dominique Geissler, Stefan Feuerriegel:
HQP: A Human-Annotated Dataset for Detecting Online Propaganda. ACL (Findings) 2024: 6064-6089 - [c92]Tobias Hatt, Stefan Feuerriegel:
Sequential Deconfounding for Causal Inference with Unobserved Confounders. CLeaR 2024: 934-956 - [c91]Dennis Frauen, Fergus Imrie, Alicia Curth, Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar:
A Neural Framework for Generalized Causal Sensitivity Analysis. ICLR 2024 - [c90]Konstantin Hess, Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel:
Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation. ICLR 2024 - [c89]Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel:
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation. ICLR 2024 - [c88]Maresa Schröder, Dennis Frauen, Stefan Feuerriegel:
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework. ICLR 2024 - [c87]Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel:
Fair Off-Policy Learning from Observational Data. ICML 2024 - [c86]Jonas Schweisthal, Dennis Frauen, Mihaela van der Schaar, Stefan Feuerriegel:
Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments. ICML 2024 - [c85]Milan Kuzmanovic, Dennis Frauen, Tobias Hatt, Stefan Feuerriegel:
Causal Machine Learning for Cost-Effective Allocation of Development Aid. KDD 2024: 5283-5294 - [c84]Yuchen Ma, Valentyn Melnychuk, Jonas Schweisthal, Stefan Feuerriegel:
DiffPO: A causal diffusion model for learning distributions of potential outcomes. NeurIPS 2024 - [c83]Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar:
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner. NeurIPS 2024 - 2023
- [c82]Dennis Frauen, Tobias Hatt, Valentyn Melnychuk, Stefan Feuerriegel:
Estimating Average Causal Effects from Patient Trajectories. AAAI 2023: 7586-7594 - [c81]Milan Kuzmanovic, Tobias Hatt, Stefan Feuerriegel:
Estimating Conditional Average Treatment Effects with Missing Treatment Information. AISTATS 2023: 746-766 - [c80]Moritz von Zahn, Oliver Hinz, Stefan Feuerriegel:
Locating disparities in machine learning. IEEE Big Data 2023: 1883-1894 - [c79]Kevin Koch, Martin Maritsch, Eva van Weenen, Stefan Feuerriegel, Matthias Pfäffli, Elgar Fleisch, Wolfgang Weinmann, Felix Wortmann:
Leveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk driving. CHI 2023: 322:1-322:32 - [c78]Johannes Rausch, Gentiana Rashiti, Maxim Gusev, Ce Zhang, Stefan Feuerriegel:
DSG: An End-to-End Document Structure Generator. ICDM 2023: 518-527 - [c77]Dennis Frauen, Stefan Feuerriegel:
Estimating individual treatment effects under unobserved confounding using binary instruments. ICLR 2023 - [c76]Yilmazcan Özyurt, Stefan Feuerriegel, Ce Zhang:
Contrastive Learning for Unsupervised Domain Adaptation of Time Series. ICLR 2023 - [c75]Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel:
Normalizing Flows for Interventional Density Estimation. ICML 2023: 24361-24397 - [c74]Dominik Bär, Nicolas Pröllochs, Stefan Feuerriegel:
Finding Qs: Profiling QAnon Supporters on Parler. ICWSM 2023: 34-46 - [c73]Johannes Jakubik, Michael Vössing, Nicolas Pröllochs, Dominik Bär, Stefan Feuerriegel:
Online Emotions during the Storming of the U.S. Capitol: Evidence from the Social Media Network Parler. ICWSM 2023: 423-434 - [c72]Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel:
Sharp Bounds for Generalized Causal Sensitivity Analysis. NeurIPS 2023 - [c71]Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel:
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model. NeurIPS 2023 - [c70]Jonas Schweisthal, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel:
Reliable Off-Policy Learning for Dosage Combinations. NeurIPS 2023 - [c69]Dominik Bär, Fausto Calderon, Michael Lawlor, Sophia Licklederer, Manuel Totzauer, Stefan Feuerriegel:
Analyzing Social Media Activities at Bellingcat. WebSci 2023: 163-173 - 2022
- [c68]Zhenrui Yue, Huimin Zeng, Bernhard Kratzwald, Stefan Feuerriegel, Dong Wang:
QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation. EMNLP 2022: 2308-2321 - [c67]Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel:
Causal Transformer for Estimating Counterfactual Outcomes. ICML 2022: 15293-15329 - [c66]Daniel Tschernutter, Tobias Hatt, Stefan Feuerriegel:
Interpretable Off-Policy Learning via Hyperbox Search. ICML 2022: 21795-21827 - [c65]Manuel Ganter, Malte Toetzke, Stefan Feuerriegel:
Mining Points-of-Interest Data to Predict Urban Inequality: Evidence from Germany and France. ICWSM 2022: 216-227 - [c64]Theresa Blümlein, Joel Persson, Stefan Feuerriegel:
Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine. MLHC 2022: 146-171 - [c63]Tobias Hatt, Daniel Tschernutter, Stefan Feuerriegel:
Generalizing off-policy learning under sample selection bias. UAI 2022: 769-779 - [c62]Philipp Hummler, Christof Naumzik, Stefan Feuerriegel:
Web Mining to Inform Locations of Charging Stations for Electric Vehicles. WWW (Companion Volume) 2022: 166-170 - [c61]Christof Naumzik, Stefan Feuerriegel:
Detecting False Rumors from Retweet Dynamics on Social Media. WWW 2022: 2798-2809 - [c60]Yilmazcan Özyurt, Tobias Hatt, Ce Zhang, Stefan Feuerriegel:
A Deep Markov Model for Clickstream Analytics in Online Shopping. WWW 2022: 3071-3081 - 2021
- [c59]Johannes Rausch, Octavio Martinez, Fabian Bissig, Ce Zhang, Stefan Feuerriegel:
DocParser: Hierarchical Document Structure Parsing from Renderings. AAAI 2021: 4328-4338 - [c58]Daniel Tschernutter, Stefan Feuerriegel:
A Latent Customer Flow Model for Interpretable Predictions of Check-In Counts. IEEE BigData 2021: 529-539 - [c57]Basil Maag, Stefan Feuerriegel, Mathias Kraus, Maytal Saar-Tsechansky, Thomas Züger:
Modeling longitudinal dynamics of comorbidities. CHIL 2021: 222-235 - [c56]Tobias Hatt, Stefan Feuerriegel:
Estimating Average Treatment Effects via Orthogonal Regularization. CIKM 2021: 680-689 - [c55]Zhenrui Yue, Bernhard Kratzwald, Stefan Feuerriegel:
Contrastive Domain Adaptation for Question Answering using Limited Text Corpora. EMNLP (1) 2021: 9575-9593 - [c54]Arne Seeliger, Gerrit Merz, Christian Holz, Stefan Feuerriegel:
Exploring the Effect of Visual Cues on Eye Gaze During AR-Guided Picking and Assembly Tasks. ISMAR Adjunct 2021: 159-164 - [c53]Yilmazcan Özyurt, Mathias Kraus, Tobias Hatt, Stefan Feuerriegel:
AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units. KDD 2021: 3452-3462 - [c52]Amray Schwabe, Joel Persson, Stefan Feuerriegel:
Predicting COVID-19 Spread from Large-Scale Mobility Data. KDD 2021: 3531-3539 - [c51]Milan Kuzmanovic, Tobias Hatt, Stefan Feuerriegel:
Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies. ML4H@NeurIPS 2021: 143-155 - 2020
- [c50]Nil-Jana Akpinar, Bernhard Kratzwald, Stefan Feuerriegel:
Sample Complexity Bounds for RNNs with Application to Combinatorial Graph Problems (Student Abstract). AAAI 2020: 13745-13746 - [c49]Eva van Weenen, Stefan Feuerriegel:
Estimating Risk-Adjusted Hospital Performance. IEEE BigData 2020: 1709-1719 - [c48]Andrea Ferrario, Raphael Weibel, Stefan Feuerriegel:
ALEEDSA: Augmented Reality for Interactive Machine Learning. CHI Extended Abstracts 2020: 1-8 - [c47]Martin Maritsch, Simon Föll, Vera Lehmann, Caterina Bérubé, Mathias Kraus, Stefan Feuerriegel, Tobias Kowatsch, Thomas Züger, Christoph Stettler, Elgar Fleisch, Felix Wortmann:
Towards Wearable-based Hypoglycemia Detection and Warning in Diabetes. CHI Extended Abstracts 2020: 1-8 - [c46]Bernhard Kratzwald, Kunpeng Guo, Stefan Feuerriegel, Dennis Diefenbach:
IntKB: A Verifiable Interactive Framework for Knowledge Base Completion. COLING 2020: 5591-5603 - [c45]Bernhard Kratzwald, Stefan Feuerriegel, Huan Sun:
Learning a Cost-Effective Annotation Policy for Question Answering. EMNLP (1) 2020: 3051-3062 - [c44]Cristina Kadar, Stefan Feuerriegel, Anastasios Noulas, Cecilia Mascolo:
Leveraging Mobility Flows from Location Technology Platforms to Test Crime Pattern Theory in Large Cities. ICWSM 2020: 339-350 - [c43]Francesco Ducci, Mathias Kraus, Stefan Feuerriegel:
Cascade-LSTM: A Tree-Structured Neural Classifier for Detecting Misinformation Cascades. KDD 2020: 2666-2676 - [c42]Tobias Hatt, Stefan Feuerriegel:
Early Detection of User Exits from Clickstream Data: A Markov Modulated Marked Point Process Model. WWW 2020: 1671-1681 - [c41]Christof Naumzik, Patrick Zoechbauer, Stefan Feuerriegel:
Mining Points-of-Interest for Explaining Urban Phenomena: A Scalable Variational Inference Approach. WWW 2020: 2342-2353 - [c40]Christof Naumzik, Stefan Feuerriegel:
One Picture Is Worth a Thousand Words? The Pricing Power of Images in e-Commerce. WWW 2020: 3119-3125 - 2019
- [c39]Bernhard Kratzwald, Anna Eigenmann, Stefan Feuerriegel:
RankQA: Neural Question Answering with Answer Re-Ranking. ACL (1) 2019: 6076-6085 - [c38]Martin Maritsch, Caterina Bérubé, Mathias Kraus, Vera Lehmann, Thomas Züger, Stefan Feuerriegel, Tobias Kowatsch, Felix Wortmann:
Improving heart rate variability measurements from consumer smartwatches with machine learning. UbiComp/ISWC Adjunct 2019: 934-938 - [c37]Hergen Wolf, Rafael Lorenz, Mathias Kraus, Stefan Feuerriegel, Torbjørn H. Netland:
Bringing Advanced Analytics to Manufacturing: A Systematic Mapping. APMS (1) 2019: 333-340 - [c36]Mathias Kraus, Stefan Feuerriegel:
Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching. KDD 2019: 2643-2652 - [c35]Nicolas Pröllochs, Stefan Feuerriegel, Dirk Neumann:
Learning Interpretable Negation Rules via Weak Supervision at Document Level: A Reinforcement Learning Approach. NAACL-HLT (1) 2019: 407-413 - [c34]Bernhard Kratzwald, Stefan Feuerriegel:
Learning from On-Line User Feedback in Neural Question Answering on the Web. WWW 2019: 906-916 - 2018
- [c33]Nicolas Pröllochs, Marc T. P. Adam, Stefan Feuerriegel, Dirk Neumann:
Information Processing of Financial News: The Role of Cognitive Dissonance and Information Avoidance. ECIS 2018: 2 - [c32]Bernhard Kratzwald, Stefan Feuerriegel:
Adaptive Document Retrieval for Deep Question Answering. EMNLP 2018: 576-581 - 2017
- [c31]Joscha Märkle-Huß, Stefan Feuerriegel, Helmut Prendinger:
Improving Sentiment Analysis with Document-Level Semantic Relationships from Rhetoric Discourse Structures. HICSS 2017: 1-10 - [c30]Simon Jonas Alfano, Nicolas Pröllochs, Joscha Märkle-Huss, Stefan Feuerriegel, Dirk Neumann:
Setting the Right Tone: How Data Science Enables Investor Communication to Choose the Right Language. Wirtschaftsinformatik 2017 - [c29]Christof Naumzik, Stefan Feuerriegel, Dirk Neumann:
Understanding Consumer Behavior in Electronic Commerce with Image Sentiment. Wirtschaftsinformatik 2017 - 2016
- [c28]Niklas Goby, Tobias Brandt, Stefan Feuerriegel, Dirk Neumann:
Business Intelligence for Business Processes: the Case of IT Incident Management. ECIS 2016: Research Paper 151 - [c27]Stefan Feuerriegel, Ralph Fehrer:
Improving Decision Analytics with Deep Learning: the Case of Financial Disclosures. ECIS 2016: Research-in-Progress Paper 22 - [c26]Joscha Märkle-Huss, Stefan Feuerriegel, Dirk Neumann:
Decision Model for Sustainable Electricity Procurement Using Nationwide Demand Response. HICSS 2016: 1010-1019 - [c25]Stefan Feuerriegel, Antal Ratku, Dirk Neumann:
Analysis of How Underlying Topics in Financial News Affect Stock Prices Using Latent Dirichlet Allocation. HICSS 2016: 1072-1081 - [c24]Nicolas Prollochs, Stefan Feuerriegel, Dirk Neumann:
Detecting Negation Scopes for Financial News Sentiment Using Reinforcement Learning. HICSS 2016: 1164-1173 - [c23]Nicolas Pröllochs, Stefan Feuerriegel, Dirk Neumann:
Is Human Information Processing Affected by Emotional Content? Understanding The Role of Facts and Emotions in the Stock Market. ICIS 2016 - [c22]Nicole Ludwig, Stefan Feuerriegel, Dirk Neumann:
Time Series Analysis for Big Data: Evaluating Bayesian Structural Time Series using Electricity Prices. MKWI 2016: 1569-1580 - [c21]Simon Jonas Alfano, Max Rapp, Nicolas Pröllochs, Stefan Feuerriegel, Dirk Neumann:
Driven by News Tone? Understanding Information Processing when Covariates are Unknown: The Case of Natural Gas Price Movements. MKWI 2016: 1787-1798 - 2015
- [c20]Simon Jonas Alfano, Stefan Feuerriegel, Dirk Neumann:
Is News Sentiment More Than Just Noise? ECIS 2015 - [c19]Nicolas Pröllochs, Stefan Feuerriegel, Dirk Neumann:
Generating Domain-Specific Dictionaries using Bayesian Learning. ECIS 2015 - [c18]Nicolas Prollochs, Stefan Feuerriegel, Dirk Neumann:
Enhancing Sentiment Analysis of Financial News by Detecting Negation Scopes. HICSS 2015: 959-968 - [c17]Stefan Feuerriegel, Sebastian Felix Heitzmann, Dirk Neumann:
Do Investors Read Too Much into News? How News Sentiment Causes Price Formation. HICSS 2015: 4803-4812 - [c16]Stefan Feuerriegel, Georg Wolff, Dirk Neumann:
Information Processing of Foreign Exchange News: Extending the Overshooting Model to Include Qualitative Information from News Sentiment. ICIS 2015 - 2014
- [c15]Philipp Bodenbenner, Stefan Feuerriegel:
Costs of Integrating demand response Systems in electricity Markets. ECIS 2014 - [c14]Stefan Feuerriegel, Simon Riedlinger, Dirk Neumann:
Predictive Analytics for electricity prices using Feed-INS from renewables. ECIS 2014 - [c13]Xiaoqiu Qiu, Stefan Feuerriegel:
A Multi-Vehicle Profitable pickup and Delivery Selection Problem with Time Windows. ECIS 2014 - [c12]Stefan Feuerriegel, Dirk Neumann:
Evaluation of News-Based Trading Strategies. FinanceCom 2014: 13-28 - [c11]Antal Ratku, Stefan Feuerriegel, Fethi A. Rabhi, Dirk Neumann:
Finding Evidence of Irrational Exuberance in the Oil Market. FinanceCom 2014: 48-59 - [c10]Stefan Feuerriegel, Max W. Lampe, Dirk Neumann:
News Processing during Speculative Bubbles: Evidence from the Oil Market. HICSS 2014: 4103-4112 - [c9]Jan-Otto Jandl, Stefan Feuerriegel, Dirk Neumann:
Long- and Short-Term Impact of News Messages on House Prices: A Comparative Study of Spain and the United States. ICIS 2014 - 2013
- [c8]Philipp Bodenbenner, Stefan Feuerriegel, Dirk Neumann:
Design Science in Practice: Designing an Electricity Demand Response System. DESRIST 2013: 293-307 - [c7]Stefan Feuerriegel, Philipp Bodenbenner, Dirk Neumann:
Is More Information Better Than Less? Understanding The Impact Of Demand Response Mechanisms In Energy Markets. ECIS 2013: 167 - [c6]Stefan Feuerriegel, H. Martin Bücker:
A Normalization Scheme for the Non-symmetric s-Step Lanczos Algorithm. ICA3PP (2) 2013: 30-39 - [c5]Stefan Feuerriegel, H. Martin Bücker:
Synchronization-Reducing Variants of the Biconjugate Gradient and the Quasi-Minimal Residual Methods. ICA3PP (1) 2013: 226-235 - [c4]Tobias Brandt, Stefan Feuerriegel, Dirk Neumann:
Shaping a Sustainable Society: How Information Systems Utilize Hidden Synergies between Green Technologies. ICIS 2013 - [c3]Stefan Feuerriegel, Dirk Neumann:
News or Noise? How News Drives Commodity Prices. ICIS 2013 - [c2]Tobias Brandt, Stefan Feuerriegel, Dirk Neumann:
A Household-Oriented Approach to The Benefits of Vehicle-To-Grid-Capable Electric Vehicles. Wirtschaftsinformatik 2013: 105 - 2012
- [c1]Stefan Feuerriegel, Jens Strüker, Dirk Neumann:
Reducing Price Uncertainty through Demand Side Management. ICIS 2012
Editorship
- 2017
- [e1]Stefan Feuerriegel, Dirk Neumann:
Enterprise Applications, Markets and Services in the Finance Industry - 8th International Workshop, FinanceCom 2016, Frankfurt, Germany, December 8, 2016, Revised Papers. Lecture Notes in Business Information Processing 276, Springer 2017, ISBN 978-3-319-52763-5 [contents]
Informal and Other Publications
- 2025
- [i109]Yuanjun Feng, Stefan Feuerriegel, Yash Raj Shrestha:
Contextualizing Recommendation Explanations with LLMs: A User Study. CoRR abs/2501.12152 (2025) - [i108]Valentyn Melnychuk, Dennis Frauen, Jonas Schweisthal, Stefan Feuerriegel:
Orthogonal Representation Learning for Estimating Causal Quantities. CoRR abs/2502.04274 (2025) - [i107]Konstantin Hess, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel:
Efficient and Sharp Off-Policy Learning under Unobserved Confounding. CoRR abs/2502.13022 (2025) - [i106]Maresa Schröder, Valentyn Melnychuk, Stefan Feuerriegel:
Differentially Private Learners for Heterogeneous Treatment Effects. CoRR abs/2503.03486 (2025) - [i105]David Martens, Galit Shmueli, Theodoros Evgeniou, Kevin Bauer, Christian Janiesch, Stefan Feuerriegel, Sebastian Gabel, Sofie Goethals, Travis Greene, Nadja Klein, Mathias Kraus, Niklas Kühl, Claudia Perlich, Wouter Verbeke, Alona Zharova, Patrick Zschech, Foster J. Provost:
Beware of "Explanations" of AI. CoRR abs/2504.06791 (2025) - [i104]Dennis Frauen, Maresa Schröder, Konstantin Hess, Stefan Feuerriegel:
Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data. CoRR abs/2505.13072 (2025) - [i103]Dennis Frauen, Valentyn Melnychuk, Jonas Schweisthal, Mihaela van der Schaar, Stefan Feuerriegel:
Treatment Effect Estimation for Optimal Decision-Making. CoRR abs/2505.13092 (2025) - [i102]Niklas Holzner, Sebastian Maier, Stefan Feuerriegel:
Generative AI and Creativity: A Systematic Literature Review and Meta-Analysis. CoRR abs/2505.17241 (2025) - 2024
- [i101]Daniel Tschernutter, Mathias Kraus, Stefan Feuerriegel:
A Globally Convergent Algorithm for Neural Network Parameter Optimization Based on Difference-of-Convex Functions. CoRR abs/2401.07936 (2024) - [i100]Milan Kuzmanovic, Dennis Frauen, Tobias Hatt, Stefan Feuerriegel:
Causal Machine Learning for Cost-Effective Allocation of Development Aid. CoRR abs/2401.16986 (2024) - [i99]Amirsiavosh Bashardoust, Stefan Feuerriegel, Yash Raj Shrestha:
Comparing the willingness to share for human-generated vs. AI-generated fake news. CoRR abs/2402.07395 (2024) - [i98]Christof Naumzik, Alice Kongsted, Werner Vach, Stefan Feuerriegel:
Data-driven subgrouping of patient trajectories with chronic diseases: Evidence from low back pain. CoRR abs/2404.10580 (2024) - [i97]Konstantin Hess, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel:
G-Transformer for Conditional Average Potential Outcome Estimation over Time. CoRR abs/2405.21012 (2024) - [i96]Jonas Schweisthal, Dennis Frauen, Mihaela van der Schaar, Stefan Feuerriegel:
Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments. CoRR abs/2406.02464 (2024) - [i95]Julian Senoner, Simon Schallmoser, Bernhard Kratzwald, Stefan Feuerriegel, Torbjørn H. Netland:
Explainable AI improves task performance in human-AI collaboration. CoRR abs/2406.08271 (2024) - [i94]Maresa Schröder, Dennis Frauen, Jonas Schweisthal, Konstantin Hess, Valentyn Melnychuk, Stefan Feuerriegel:
Conformal Prediction for Causal Effects of Continuous Treatments. CoRR abs/2407.03094 (2024) - [i93]Dennis Frauen, Konstantin Hess, Stefan Feuerriegel:
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time. CoRR abs/2407.05287 (2024) - [i92]Abdurahman Maarouf, Stefan Feuerriegel, Nicolas Pröllochs:
A Fused Large Language Model for Predicting Startup Success. CoRR abs/2409.03668 (2024) - [i91]Amirsiavosh Bashardoust, Yuanjun Feng, Dominique Geissler, Stefan Feuerriegel, Yash Raj Shrestha:
The Effect of Education in Prompt Engineering: Evidence from Journalists. CoRR abs/2409.12320 (2024) - [i90]Yilmazcan Özyurt, Stefan Feuerriegel, Mrinmaya Sachan:
Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge Tracing. CoRR abs/2410.01727 (2024) - [i89]Konstantin Hess, Stefan Feuerriegel:
Stabilized Neural Prediction of Potential Outcomes in Continuous Time. CoRR abs/2410.03514 (2024) - [i88]Stefan Feuerriegel, Dennis Frauen, Valentyn Melnychuk, Jonas Schweisthal, Konstantin Hess, Alicia Curth, Stefan Bauer, Niki Kilbertus, Isaac S. Kohane, Mihaela van der Schaar:
Causal machine learning for predicting treatment outcomes. CoRR abs/2410.08770 (2024) - [i87]Yuchen Ma, Valentyn Melnychuk, Jonas Schweisthal, Stefan Feuerriegel:
DiffPO: A causal diffusion model for learning distributions of potential outcomes. CoRR abs/2410.08924 (2024) - [i86]Jonas Schweisthal, Dennis Frauen, Maresa Schröder, Konstantin Hess, Niki Kilbertus, Stefan Feuerriegel:
Learning Representations of Instruments for Partial Identification of Treatment Effects. CoRR abs/2410.08976 (2024) - [i85]Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar:
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner. CoRR abs/2411.03387 (2024) - [i84]Pascal Janetzky, Tobias Schlagenhauf, Stefan Feuerriegel:
Slowing Down Forgetting in Continual Learning. CoRR abs/2411.06916 (2024) - [i83]Zoe Jonassen, Katharine Lawrence, Batia Mishan Wiesenfeld, Stefan Feuerriegel, Devin Mann:
A qualitative analysis of remote patient monitoring: how a paradox mindset can support balancing emotional tensions in the design of healthcare technologies. CoRR abs/2411.14233 (2024) - [i82]Dominik Bär, Abdurahman Maarouf, Stefan Feuerriegel:
Generative AI may backfire for counterspeech. CoRR abs/2411.14986 (2024) - [i81]Yuxin Wang, Maresa Schröder, Dennis Frauen, Jonas Schweisthal, Konstantin Hess, Stefan Feuerriegel:
Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets. CoRR abs/2412.11511 (2024) - [i80]Stefan Feuerriegel, Foster J. Provost, Galit Shmueli:
Leveraging AI for Management Decision-Making (Dagstuhl Seminar 24342). Dagstuhl Reports 14(8): 24-35 (2024) - 2023
- [i79]Kevin Koch, Martin Maritsch, Eva van Weenen, Stefan Feuerriegel, Matthias Pfäffli, Elgar Fleisch, Wolfgang Weinmann, Felix Wortmann:
Leveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk driving. CoRR abs/2301.08978 (2023) - [i78]Dominik Bär, Nicolas Pröllochs, Stefan Feuerriegel:
New threats to society from free-speech social media platforms. CoRR abs/2302.01229 (2023) - [i77]Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel:
Fair Off-Policy Learning from Observational Data. CoRR abs/2303.08516 (2023) - [i76]Julian Senoner, Bernhard Kratzwald, Milan Kuzmanovic, Torbjørn H. Netland, Stefan Feuerriegel:
Addressing distributional shifts in operations management: The case of order fulfillment in customized production. CoRR abs/2304.11910 (2023) - [i75]Abdurahman Maarouf, Dominik Bär, Dominique Geissler, Stefan Feuerriegel:
HQP: A Human-Annotated Dataset for Detecting Online Propaganda. CoRR abs/2304.14931 (2023) - [i74]Nicolas Banholzer, Thomas A. Mellan, H. Juliette T. Unwin, Stefan Feuerriegel, Swapnil Mishra, Samir Bhatt:
A comparison of short-term probabilistic forecasts for the incidence of COVID-19 using mechanistic and statistical time series models. CoRR abs/2305.00933 (2023) - [i73]Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel:
Sharp Bounds for Generalized Causal Sensitivity Analysis. CoRR abs/2305.16988 (2023) - [i72]Jonas Schweisthal, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel:
Reliable Off-Policy Learning for Dosage Combinations. CoRR abs/2305.19742 (2023) - [i71]Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel:
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model. CoRR abs/2306.01424 (2023) - [i70]Dominique Geissler, Stefan Feuerriegel:
Analyzing the Strategy of Propaganda using Inverse Reinforcement Learning: Evidence from the 2022 Russian Invasion of Ukraine. CoRR abs/2307.12788 (2023) - [i69]Mathias Kraus, Stefan Feuerriegel, Maytal Saar-Tsechansky:
Data-Driven Allocation of Preventive Care With Application to Diabetes Mellitus Type II. CoRR abs/2308.06959 (2023) - [i68]Stefan Feuerriegel, Jochen Hartmann, Christian Janiesch, Patrick Zschech:
Generative AI. CoRR abs/2309.07930 (2023) - [i67]Johannes Rausch, Gentiana Rashiti, Maxim Gusev, Ce Zhang, Stefan Feuerriegel:
DSG: An End-to-End Document Structure Generator. CoRR abs/2310.09118 (2023) - [i66]Dominik Bär, Francesco Pierri, Gianmarco De Francisci Morales, Stefan Feuerriegel:
Auditing Targeted Political Advertising on Social Media During the 2021 German Election. CoRR abs/2310.10001 (2023) - [i65]Yilmazcan Özyurt, Stefan Feuerriegel, Ce Zhang:
In-Context Few-Shot Relation Extraction via Pre-Trained Language Models. CoRR abs/2310.11085 (2023) - [i64]Dominique Geissler, Abdurahman Maarouf, Stefan Feuerriegel:
Causal Understanding of Why Users Share Hate Speech on Social Media. CoRR abs/2310.15772 (2023) - [i63]Konstantin Hess, Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel:
Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation. CoRR abs/2310.17463 (2023) - [i62]Yuchen Ma, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel:
Counterfactual Fairness for Predictions using Generative Adversarial Networks. CoRR abs/2310.17687 (2023) - [i61]Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel:
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation. CoRR abs/2311.11321 (2023) - [i60]Dennis Frauen, Fergus Imrie, Alicia Curth, Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar:
A Neural Framework for Generalized Causal Sensitivity Analysis. CoRR abs/2311.16026 (2023) - [i59]Maresa Schröder, Dennis Frauen, Stefan Feuerriegel:
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework. CoRR abs/2311.18460 (2023) - [i58]Bernhard Lutz, Marc T. P. Adam, Stefan Feuerriegel, Nicolas Pröllochs, Dirk Neumann:
Which linguistic cues make people fall for fake news? A comparison of cognitive and affective processing. CoRR abs/2312.03751 (2023) - [i57]Gunther Gust, Alexander Schlüter, Stefan Feuerriegel, Ignacio Úbeda, Jonathan T. Lee, Dirk Neumann:
Designing Electricity Distribution Networks: The Impact of Demand Coincidence. CoRR abs/2312.14971 (2023) - 2022
- [i56]Christof Naumzik, Stefan Feuerriegel:
Detecting False Rumors from Retweet Dynamics on Social Media. CoRR abs/2201.13103 (2022) - [i55]Tobias Hatt, Jeroen Berrevoets, Alicia Curth, Stefan Feuerriegel, Mihaela van der Schaar:
Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects. CoRR abs/2202.12891 (2022) - [i54]Dennis Frauen, Tobias Hatt, Valentyn Melnychuk, Stefan Feuerriegel:
Estimating average causal effects from patient trajectories. CoRR abs/2203.01228 (2022) - [i53]Milan Kuzmanovic, Tobias Hatt, Stefan Feuerriegel:
Estimating Conditional Average Treatment Effects with Missing Treatment Information. CoRR abs/2203.01422 (2022) - [i52]Daniel Tschernutter, Tobias Hatt, Stefan Feuerriegel:
Interpretable Off-Policy Learning via Hyperbox Search. CoRR abs/2203.02473 (2022) - [i51]Philipp Hummler, Christof Naumzik, Stefan Feuerriegel:
Web Mining to Inform Locations of Charging Stations for Electric Vehicles. CoRR abs/2203.07081 (2022) - [i50]Johannes Jakubik, Michael Vössing, Dominik Bär, Nicolas Pröllochs, Stefan Feuerriegel:
Online Emotions During the Storming of the U.S. Capitol: Evidence from the Social Media Network Parler. CoRR abs/2204.04245 (2022) - [i49]Theresa Blümlein, Joel Persson, Stefan Feuerriegel:
Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine. CoRR abs/2204.07124 (2022) - [i48]Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel:
Causal Transformer for Estimating Counterfactual Outcomes. CoRR abs/2204.07258 (2022) - [i47]Dominik Bär, Nicolas Pröllochs, Stefan Feuerriegel:
Finding Qs: Profiling QAnon Supporters on Parler. CoRR abs/2205.08834 (2022) - [i46]Yilmazcan Özyurt, Stefan Feuerriegel, Ce Zhang:
Contrastive Learning for Unsupervised Domain Adaptation of Time Series. CoRR abs/2206.06243 (2022) - [i45]Nicolas Pröllochs, Stefan Feuerriegel:
Mechanisms of True and False Rumor Sharing in Social Media: Wisdom-of-Crowds or Herd Behavior? CoRR abs/2207.03020 (2022) - [i44]Maria De-Arteaga, Stefan Feuerriegel, Maytal Saar-Tsechansky:
Algorithmic Fairness in Business Analytics: Directions for Research and Practice. CoRR abs/2207.10991 (2022) - [i43]Tobias Hatt, Stefan Feuerriegel:
Detecting User Exits from Online Behavior: A Duration-Dependent Latent State Model. CoRR abs/2208.03937 (2022) - [i42]Michaela Benk, Raphael Weibel, Stefan Feuerriegel, Andrea Ferrario:
"Is It My Turn?" Assessing Teamwork and Taskwork in Collaborative Immersive Analytics. CoRR abs/2208.04764 (2022) - [i41]Moritz von Zahn, Oliver Hinz, Stefan Feuerriegel:
Locating disparities in machine learning. CoRR abs/2208.06680 (2022) - [i40]Dennis Frauen, Stefan Feuerriegel:
Estimating individual treatment effects under unobserved confounding using binary instruments. CoRR abs/2208.08544 (2022) - [i39]Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel:
Normalizing Flows for Interventional Density Estimation. CoRR abs/2209.06203 (2022) - [i38]Dominik Bär, Fausto Calderon, Michael Lawlor, Sophia Licklederer, Manuel Totzauer, Stefan Feuerriegel:
Analyzing Social Media Activities at Bellingcat. CoRR abs/2209.10271 (2022) - [i37]Zhenrui Yue, Huimin Zeng, Bernhard Kratzwald, Stefan Feuerriegel, Dong Wang:
QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation. CoRR abs/2210.10861 (2022) - [i36]Abdurahman Maarouf, Nicolas Pröllochs, Stefan Feuerriegel:
The Virality of Hate Speech on Social Media. CoRR abs/2210.13770 (2022) - [i35]Dominique Geissler, Dominik Bär, Nicolas Pröllochs, Stefan Feuerriegel:
Russian propaganda on social media during the 2022 invasion of Ukraine. CoRR abs/2211.04154 (2022) - 2021
- [i34]Tobias Hatt, Stefan Feuerriegel:
Estimating Average Treatment Effects via Orthogonal Regularization. CoRR abs/2101.08490 (2021) - [i33]Johannes Jakubik, Adrian Binding, Stefan Feuerriegel:
Directed particle swarm optimization with Gaussian-process-based function forecasting. CoRR abs/2102.04172 (2021) - [i32]Yilmazcan Özyurt, Mathias Kraus, Tobias Hatt, Stefan Feuerriegel:
AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units. CoRR abs/2102.04702 (2021) - [i31]Tobias Hatt, Stefan Feuerriegel:
Sequential Deconfounding for Causal Inference with Unobserved Confounders. CoRR abs/2104.09323 (2021) - [i30]Amray Schwabe, Joel Persson, Stefan Feuerriegel:
Predicting COVID-19 Spread from Large-Scale Mobility Data. CoRR abs/2106.00356 (2021) - [i29]Olga Fink, Torbjørn H. Netland, Stefan Feuerriegel:
Artificial intelligence across company borders. CoRR abs/2107.03912 (2021) - [i28]Arne Seeliger, Gerrit Merz, Christian Holz, Stefan Feuerriegel:
Exploring the Effect of Visual Cues on Eye Gaze During AR-Guided Picking and Assembly Tasks. CoRR abs/2108.04669 (2021) - [i27]Zhenrui Yue, Bernhard Kratzwald, Stefan Feuerriegel:
Contrastive Domain Adaptation for Question Answering using Limited Text Corpora. CoRR abs/2108.13854 (2021) - [i26]Mateusz Dolata, Stefan Feuerriegel, Gerhard Schwabe:
A Sociotechnical View of Algorithmic Fairness. CoRR abs/2110.09253 (2021) - [i25]Tobias Hatt, Daniel Tschernutter, Stefan Feuerriegel:
Generalizing Off-Policy Learning under Sample Selection Bias. CoRR abs/2112.01387 (2021) - [i24]Milan Kuzmanovic, Tobias Hatt, Stefan Feuerriegel:
Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies. CoRR abs/2112.03013 (2021) - 2020
- [i23]Bernhard Kratzwald, Xiang Yue, Huan Sun, Stefan Feuerriegel:
Practical Annotation Strategies for Question Answering Datasets. CoRR abs/2003.03235 (2020) - [i22]Cristina Kadar, Stefan Feuerriegel, Anastasios Noulas, Cecilia Mascolo:
Leveraging Mobility Flows from Location Technology Platforms to Test Crime Pattern Theory in Large Cities. CoRR abs/2004.08263 (2020) - [i21]Bernhard Kratzwald, Stefan Feuerriegel, Huan Sun:
Learning a Cost-Effective Annotation Policy for Question Answering. CoRR abs/2010.03476 (2020) - [i20]Eva van Weenen, Stefan Feuerriegel:
Estimating Risk-Adjusted Hospital Performance. CoRR abs/2011.05149 (2020) - 2019
- [i19]Nil-Jana Akpinar, Bernhard Kratzwald, Stefan Feuerriegel:
Sample Complexity Bounds for Recurrent Neural Networks with Application to Combinatorial Graph Problems. CoRR abs/1901.10289 (2019) - [i18]Cristina Kadar, Rudolf Maculan, Stefan Feuerriegel:
Public decision support for low population density areas: An imbalance-aware hyper-ensemble for spatio-temporal crime prediction. CoRR abs/1902.03237 (2019) - [i17]Mathias Kraus, Stefan Feuerriegel:
Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching. CoRR abs/1905.13131 (2019) - [i16]Bernhard Kratzwald, Anna Eigenmann, Stefan Feuerriegel:
RankQA: Neural Question Answering with Answer Re-Ranking. CoRR abs/1906.03008 (2019) - [i15]Mathias Kraus, Stefan Feuerriegel:
Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences. CoRR abs/1907.05146 (2019) - [i14]Martin Maritsch, Caterina Bérubé, Mathias Kraus, Vera Lehmann, Thomas Züger, Stefan Feuerriegel, Tobias Kowatsch, Felix Wortmann:
Improving Heart Rate Variability Measurements from Consumer Smartwatches with Machine Learning. CoRR abs/1907.07496 (2019) - [i13]Johannes Rausch, Octavio Martinez, Fabian Bissig, Ce Zhang, Stefan Feuerriegel:
DocParser: Hierarchical Structure Parsing of Document Renderings. CoRR abs/1911.01702 (2019) - 2018
- [i12]Bernhard Kratzwald, Suzana Ilic, Mathias Kraus, Stefan Feuerriegel, Helmut Prendinger:
Decision support with text-based emotion recognition: Deep learning for affective computing. CoRR abs/1803.06397 (2018) - [i11]Bernhard Kratzwald, Stefan Feuerriegel:
Putting Question-Answering Systems into Practice: Transfer Learning for Efficient Domain Customization. CoRR abs/1804.07097 (2018) - [i10]Stefan Feuerriegel, Nicolas Pröllochs:
Investor Reaction to Financial Disclosures Across Topics: An Application of Latent Dirichlet Allocation. CoRR abs/1805.03308 (2018) - [i9]Mathias Kraus, Stefan Feuerriegel, Asil Oztekin:
Deep learning in business analytics and operations research: Models, applications and managerial implications. CoRR abs/1806.10897 (2018) - [i8]Stefan Feuerriegel, Helmut Prendinger:
News-based trading strategies. CoRR abs/1807.06824 (2018) - [i7]Bernhard Kratzwald, Stefan Feuerriegel:
Adaptive Document Retrieval for Deep Question Answering. CoRR abs/1808.06528 (2018) - [i6]Nicolas Pröllochs, Stefan Feuerriegel:
Reinforcement Learning in R. CoRR abs/1810.00240 (2018) - 2017
- [i5]Mathias Kraus, Stefan Feuerriegel:
Sentiment analysis based on rhetorical structure theory: Learning deep neural networks from discourse trees. CoRR abs/1704.05228 (2017) - [i4]Nicolas Pröllochs, Stefan Feuerriegel, Dirk Neumann:
Understanding Negations in Information Processing: Learning from Replicating Human Behavior. CoRR abs/1704.05356 (2017) - [i3]Nicolas Pröllochs, Stefan Feuerriegel, Dirk Neumann:
Language That Matters: Statistical Inferences for Polarity Identification in Natural Language. CoRR abs/1706.06996 (2017) - [i2]Mathias Kraus, Stefan Feuerriegel:
Decision support from financial disclosures with deep neural networks and transfer learning. CoRR abs/1710.03954 (2017) - 2015
- [i1]Ralph Fehrer, Stefan Feuerriegel:
Improving Decision Analytics with Deep Learning: The Case of Financial Disclosures. CoRR abs/1508.01993 (2015)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-06-27 19:39 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
