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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
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2020 – today
- 2024
[j46]Stefan Feuerriegel
, Jochen Hartmann, Christian Janiesch, Patrick Zschech:
Generative AI. Bus. Inf. Syst. Eng. 66(1): 111-126 (2024)- [j45]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) - [j44]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) - [j43]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) - [j42]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) - [j41]Abdurahman Maarouf, Nicolas Pröllochs, Stefan Feuerriegel:
The Virality of Hate Speech on Social Media. Proc. ACM Hum. Comput. Interact. 8(CSCW1): 1-22 (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) - [c91]Abdurahman Maarouf, Dominik Bär, Dominique Geissler, Stefan Feuerriegel:
HQP: A Human-Annotated Dataset for Detecting Online Propaganda. ACL (Findings) 2024: 6064-6089 - [c90]Tobias Hatt, Stefan Feuerriegel:
Sequential Deconfounding for Causal Inference with Unobserved Confounders. CLeaR 2024: 934-956 - [c89]Dennis Frauen, Fergus Imrie, Alicia Curth, Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar:
A Neural Framework for Generalized Causal Sensitivity Analysis. ICLR 2024 - [c88]Konstantin Hess, Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel:
Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation. ICLR 2024 - [c87]Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel:
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation. ICLR 2024 - [c86]Maresa Schröder, Dennis Frauen, Stefan Feuerriegel:
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework. ICLR 2024 - [c85]Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel:
Fair Off-Policy Learning from Observational Data. ICML 2024 - [c84]Jonas Schweisthal, Dennis Frauen, Mihaela van der Schaar, Stefan Feuerriegel:
Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments. ICML 2024 - [c83]Milan Kuzmanovic, Dennis Frauen, Tobias Hatt, Stefan Feuerriegel:
Causal Machine Learning for Cost-Effective Allocation of Development Aid. KDD 2024: 5283-5294 - [i92]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) - [i91]Milan Kuzmanovic, Dennis Frauen, Tobias Hatt, Stefan Feuerriegel:
Causal Machine Learning for Cost-Effective Allocation of Development Aid. CoRR abs/2401.16986 (2024) - [i90]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) - [i89]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) - [i88]Konstantin Hess, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel:
G-Transformer for Conditional Average Potential Outcome Estimation over Time. CoRR abs/2405.21012 (2024) - [i87]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) - [i86]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) - [i85]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) - [i84]Dennis Frauen, Konstantin Hess, Stefan Feuerriegel:
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time. CoRR abs/2407.05287 (2024) - [i83]Abdurahman Maarouf, Stefan Feuerriegel, Nicolas Pröllochs:
A Fused Large Language Model for Predicting Startup Success. CoRR abs/2409.03668 (2024) - [i82]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) - [i81]Yilmazcan Özyurt, Stefan Feuerriegel, Mrinmaya Sachan:
Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge Tracing. CoRR abs/2410.01727 (2024) - [i80]Konstantin Hess, Stefan Feuerriegel:
Stabilized Neural Prediction of Potential Outcomes in Continuous Time. CoRR abs/2410.03514 (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) - [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 - [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
- [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) - [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 - [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
- [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) - [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 - [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
- [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) - [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 - [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)
2010 – 2019
- 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) - [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 - [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
- [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) - [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 - [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
- [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) - [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 - [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] - [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) - 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) - [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
- [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) - [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 - [i1]Ralph Fehrer, Stefan Feuerriegel:
Improving Decision Analytics with Deep Learning: The Case of Financial Disclosures. CoRR abs/1508.01993 (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) - [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
Coauthor Index
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