Stefan Feuerriegel

298 papers A* 43A 7B 2C 6Journal 193Unranked 46

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Causal Inference on Networks under Misspecified Exposure Mappings: A Partial Identification Framework. CoRR Maresa Schröder, Miruna Oprescu, Stefan Feuerriegel, Nathan Kallus
2026	A*	`conf`	Designing Effective Digital Literacy Interventions for Boosting Deepfake Discernment. CHI Dominique Geissler, Claire Robertson, Stefan Feuerriegel
2026	J	`jnl`	Detecting and Mitigating Group Bias in Heterogeneous Treatment Effects. CoRR Joel Persson, Jurriën Bakker, Dennis Bohle, Stefan Feuerriegel, Florian von Wangenheim
2026	J	`jnl`	Frequentist Consistency of Prior-Data Fitted Networks for Causal Inference. CoRR Valentyn Melnychuk, Vahid Balazadeh, Stefan Feuerriegel, Rahul G. Krishnan
2026	J	`jnl`	Generalized Bayes for Causal Inference. CoRR Emil Javurek, Dennis Frauen, Yuxin Wang, Stefan Feuerriegel
2026	J	`jnl`	MedClarify: An information-seeking AI agent for medical diagnosis with case-specific follow-up questions. CoRR Hui Min Wong, Philip Heesen, Pascal Janetzky, Martin Bendszus, Stefan Feuerriegel
2026	J	`jnl`	Nonparametric LLM Evaluation from Preference Data. CoRR Dennis Frauen, Athiya Deviyani, Mihaela van der Schaar, Stefan Feuerriegel
2026	A*	`conf`	Partnering with Generative AI: Experimental Evaluation of Model-Led and Human-Led Interaction in Human-AI Co-Creation. CHI Sebastian Maier, Manuel Schneider, Stefan Feuerriegel
2026	J	`jnl`	Predicting Startup Success Using Large Language Models: A Novel In-Context Learning Approach. CoRR Abdurahman Maarouf, Alket Bakiaj, Stefan Feuerriegel
2026	J	`jnl`	ProbeLLM: Automating Principled Diagnosis of LLM Failures. CoRR Yue Huang, Zhengzhe Jiang, Yuchen Ma, Yu Jiang, Xiangqi Wang, Yujun Zhou, Yuexing Hao, Kehan Guo, Pin-Yu Chen, Stefan Feuerriegel, Xiangliang Zhang
2026	J	`jnl`	Rank-Learner: Orthogonal Ranking of Treatment Effects. CoRR Henri Arno, Dennis Frauen, Emil Javurek, Thomas Demeester, Stefan Feuerriegel
2026	A*	`conf`	Supporting Effective Goal Setting with LLM-Based Chatbots. CHI Michel Schimpf, Sebastian Maier, Anton Wyrowski, Lara Christoforakos, Stefan Feuerriegel, Thomas Bohné
2026	J	`jnl`	Supporting Effective Goal Setting with LLM-Based Chatbots. CoRR Michel Schimpf, Sebastian Maier, Anton Wyrowski, Lara Christoforakos, Stefan Feuerriegel, Thomas Bohné
2026	J	`jnl`	Synthetic Interaction Data for Scalable Personalization in Large Language Models. CoRR Yuchen Ma, Yue Huang, Wenjie Wang, Xiaonan Luo, Xiangliang Zhang, Stefan Feuerriegel
2026	J	`jnl`	Targeted Synthetic Control Method. CoRR Yuxin Wang, Dennis Frauen, Emil Javurek, Konstantin Hess, Yuchen Ma, Stefan Feuerriegel
2025	—	`conf`	A Diffusion-Based Method for Learning the Multi-Outcome Distribution of Medical Treatments. KDD (2) Yuchen Ma, Jonas Schweisthal, Hengrui Zhang, Stefan Feuerriegel
2025	J	`jnl`	A Diffusion-Based Method for Learning the Multi-Outcome Distribution of Medical Treatments. CoRR Yuchen Ma, Jonas Schweisthal, Hengrui Zhang, Stefan Feuerriegel
2025	J	`jnl`	A Meta-Analysis of the Persuasive Power of Large Language Models. CoRR Lukas Hölbling, Sebastian Maier, Stefan Feuerriegel
2025	J	`jnl`	A Qualitative Analysis of Remote Patient Monitoring: How a Paradox Mindset Can Support Balancing Emotional Tensions in the Design of Healthcare Technologies. Proc. ACM Hum. Comput. Interact. Zoe Jonassen, Katharine Lawrence, Batia Mishan Wiesenfeld, Stefan Feuerriegel, Devin M. Mann
2025	J	`jnl`	A fused large language model for predicting startup success. Eur. J. Oper. Res. Abdurahman Maarouf, Stefan Feuerriegel, Nicolas Pröllochs
2025	J	`jnl`	Algorithms for reliable decision-making need causal reasoning. Nat. Comput. Sci. Christoph Kern, Unai Fischer Abaigar, Jonas Schweisthal, Dennis Frauen, Rayid Ghani, Stefan Feuerriegel, Mihaela van der Schaar, Frauke Kreuter
2025	J	`jnl`	An Orthogonal Learner for Individualized Outcomes in Markov Decision Processes. CoRR Emil Javurek, Valentyn Melnychuk, Jonas Schweisthal, Konstantin Hess, Dennis Frauen, Stefan Feuerriegel
2025	J	`jnl`	Analyzing Social Media Claims regarding Youth Online Safety Features to Identify Problem Areas and Communication Gaps. CoRR Renkai Ma, Dominique Geissler, Stefan Feuerriegel, Tobias Lauinger, Damon McCoy, Pamela J. Wisniewski
2025	A*	`conf`	Analyzing User Characteristics of Hate Speech Spreaders on Social Media. WWW Dominique Geissler, Abdurahman Maarouf, Stefan Feuerriegel
2025	J	`jnl`	Assessing the robustness of heterogeneous treatment effects in survival analysis under informative censoring. CoRR Yuxin Wang, Dennis Frauen, Jonas Schweisthal, Maresa Schröder, Stefan Feuerriegel
2025	J	`jnl`	Beware of "Explanations" of AI. CoRR 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
2025	J	`jnl`	Beyond Means: A Dynamic Framework for Predicting Customer Satisfaction. CoRR Christof Naumzik, Abdurahman Maarouf, Stefan Feuerriegel, Markus Weinmann
2025	A*	`conf`	Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets. ICLR Yuxin Wang, Maresa Schröder, Dennis Frauen, Jonas Schweisthal, Konstantin Hess, Stefan Feuerriegel
2025	J	`jnl`	Contextualizing Recommendation Explanations with LLMs: A User Study. CoRR Yuanjun Feng, Stefan Feuerriegel, Yash Raj Shrestha
2025	J	`jnl`	Data-driven dynamic police patrolling: An efficient Monte Carlo tree search. Eur. J. Oper. Res. Daniel Tschernutter, Stefan Feuerriegel
2025	J	`jnl`	DeepBlip: Estimating Conditional Average Treatment Effects Over Time. CoRR Haorui Ma, Dennis Frauen, Stefan Feuerriegel
2025	J	`jnl`	Differentially Private Learners for Heterogeneous Treatment Effects. CoRR Maresa Schröder, Valentyn Melnychuk, Stefan Feuerriegel
2025	A*	`conf`	Differentially private learners for heterogeneous treatment effects. ICLR Maresa Schröder, Valentyn Melnychuk, Stefan Feuerriegel
2025	J	`jnl`	Digital literacy interventions can boost humans in discerning deepfakes. CoRR Dominique Geissler, Claire Robertson, Stefan Feuerriegel
2025	J	`jnl`	Efficient and Sharp Off-Policy Learning under Unobserved Confounding. CoRR Konstantin Hess, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
2025	J	`jnl`	Foundation Models for Causal Inference via Prior-Data Fitted Networks. CoRR Yuchen Ma, Dennis Frauen, Emil Javurek, Stefan Feuerriegel
2025	J	`jnl`	GDR-learners: Orthogonal Learning of Generative Models for Potential Outcomes. CoRR Valentyn Melnychuk, Stefan Feuerriegel
2025	J	`jnl`	Generative AI and Creativity: A Systematic Literature Review and Meta-Analysis. CoRR Niklas Holzner, Sebastian Maier, Stefan Feuerriegel
2025	J	`jnl`	Improving the Generation and Evaluation of Synthetic Data for Downstream Medical Causal Inference. CoRR Harry Amad, Zhaozhi Qian, Dennis Frauen, Julianna Piskorz, Stefan Feuerriegel, Mihaela van der Schaar
2025	J	`jnl`	LLM-Driven Treatment Effect Estimation Under Inference Time Text Confounding. CoRR Yuchen Ma, Dennis Frauen, Jonas Schweisthal, Stefan Feuerriegel
2025	A*	`conf`	Learning Representations of Instruments for Partial Identification of Treatment Effects. ICML Jonas Schweisthal, Dennis Frauen, Maresa Schröder, Konstantin Hess, Niki Kilbertus, Stefan Feuerriegel
2025	J	`jnl`	Machine learning for predicting used car resale prices using granular vehicle equipment information. Expert Syst. Appl. Svenja Bergmann, Stefan Feuerriegel
2025	A*	`conf`	Model-agnostic meta-learners for estimating heterogeneous treatment effects over time. ICLR Dennis Frauen, Konstantin Hess, Stefan Feuerriegel
2025	J	`jnl`	Orthogonal Representation Learning for Estimating Causal Quantities. CoRR Valentyn Melnychuk, Dennis Frauen, Jonas Schweisthal, Stefan Feuerriegel
2025	J	`jnl`	Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data. CoRR Dennis Frauen, Maresa Schröder, Konstantin Hess, Stefan Feuerriegel
2025	J	`jnl`	Overlap-Adaptive Regularization for Conditional Average Treatment Effect Estimation. CoRR Valentyn Melnychuk, Dennis Frauen, Jonas Schweisthal, Stefan Feuerriegel
2025	J	`jnl`	Overlap-weighted orthogonal meta-learner for treatment effect estimation over time. CoRR Konstantin Hess, Dennis Frauen, Mihaela van der Schaar, Stefan Feuerriegel
2025	J	`jnl`	Partnering with Generative AI: Experimental Evaluation of Human-Led and Model-Led Interaction in Human-AI Co-Creation. CoRR Sebastian Maier, Manuel Schneider, Stefan Feuerriegel
2025	J	`jnl`	Personalized Exercise Recommendation with Semantically-Grounded Knowledge Tracing. CoRR Yilmazcan Özyurt, Tunaberk Almaci, Stefan Feuerriegel, Mrinmaya Sachan
2025	J	`jnl`	PrivATE: Differentially Private Confidence Intervals for Average Treatment Effects. CoRR Maresa Schröder, Justin Hartenstein, Stefan Feuerriegel
2025	A*	`conf`	Stabilized Neural Prediction of Potential Outcomes in Continuous Time. ICLR Konstantin Hess, Stefan Feuerriegel
2025	J	`jnl`	SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis. CoRR Marie Brockschmidt, Maresa Schröder, Stefan Feuerriegel
2025	J	`jnl`	Treatment Effect Estimation for Optimal Decision-Making. CoRR Dennis Frauen, Valentyn Melnychuk, Jonas Schweisthal, Mihaela van der Schaar, Stefan Feuerriegel
2024	J	`jnl`	A Fused Large Language Model for Predicting Startup Success. CoRR Abdurahman Maarouf, Stefan Feuerriegel, Nicolas Pröllochs
2024	J	`jnl`	A Globally Convergent Algorithm for Neural Network Parameter Optimization Based on Difference-of-Convex Functions. CoRR Daniel Tschernutter, Mathias Kraus, Stefan Feuerriegel
2024	J	`jnl`	A Globally Convergent Algorithm for Neural Network Parameter Optimization Based on Difference-of-Convex Functions. Trans. Mach. Learn. Res. Daniel Tschernutter, Mathias Kraus, Stefan Feuerriegel
2024	A*	`conf`	A Neural Framework for Generalized Causal Sensitivity Analysis. ICLR Dennis Frauen, Fergus Imrie, Alicia Curth, Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar
2024	J	`jnl`	A qualitative analysis of remote patient monitoring: how a paradox mindset can support balancing emotional tensions in the design of healthcare technologies. CoRR Zoe Jonassen, Katharine Lawrence, Batia Mishan Wiesenfeld, Stefan Feuerriegel, Devin M. Mann
2024	J	`jnl`	Affective information processing of fake news: evidence from NeuroIS. Eur. J. Inf. Syst. Bernhard Lutz, Marc T. P. Adam, Stefan Feuerriegel, Nicolas Pröllochs, Dirk Neumann
2024	J	`jnl`	Analyzing the Strategy of Propaganda using Inverse Reinforcement Learning: Evidence from the 2022 Russian Invasion of Ukraine. Proc. ACM Hum. Comput. Interact. Dominique Geissler, Stefan Feuerriegel
2024	J	`jnl`	Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge Tracing. CoRR Yilmazcan Özyurt, Stefan Feuerriegel, Mrinmaya Sachan
2024	A*	`conf`	Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation. ICLR Konstantin Hess, Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
2024	A*	`conf`	Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation. ICLR Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
2024	A*	`conf`	Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework. ICLR Maresa Schröder, Dennis Frauen, Stefan Feuerriegel
2024	A*	`conf`	Causal Machine Learning for Cost-Effective Allocation of Development Aid. KDD Milan Kuzmanovic, Dennis Frauen, Tobias Hatt, Stefan Feuerriegel
2024	J	`jnl`	Causal Machine Learning for Cost-Effective Allocation of Development Aid. CoRR Milan Kuzmanovic, Dennis Frauen, Tobias Hatt, Stefan Feuerriegel
2024	J	`jnl`	Causal machine learning for predicting treatment outcomes. CoRR Stefan Feuerriegel, Dennis Frauen, Valentyn Melnychuk, Jonas Schweisthal, Konstantin Hess, Alicia Curth, Stefan Bauer, Niki Kilbertus, Isaac S. Kohane, Mihaela van der Schaar
2024	J	`jnl`	Comparing the Willingness to Share for Human-generated vs. AI-generated Fake News. Proc. ACM Hum. Comput. Interact. Amirsiavosh Bashardoust, Stefan Feuerriegel, Yash Raj Shrestha
2024	J	`jnl`	Comparing the willingness to share for human-generated vs. AI-generated fake news. CoRR Amirsiavosh Bashardoust, Stefan Feuerriegel, Yash Raj Shrestha
2024	J	`jnl`	Conformal Prediction for Causal Effects of Continuous Treatments. CoRR Maresa Schröder, Dennis Frauen, Jonas Schweisthal, Konstantin Hess, Valentyn Melnychuk, Stefan Feuerriegel
2024	J	`jnl`	Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets. CoRR Yuxin Wang, Maresa Schröder, Dennis Frauen, Jonas Schweisthal, Konstantin Hess, Stefan Feuerriegel
2024	J	`jnl`	Context-Adaptive Visual Cues for Safe Navigation in Augmented Reality Using Machine Learning. Int. J. Hum. Comput. Interact. Arne Seeliger, Raphael P. Weibel, Stefan Feuerriegel
2024	J	`jnl`	Data-Driven Allocation of Preventive Care with Application to Diabetes Mellitus Type II. Manuf. Serv. Oper. Manag. Mathias Kraus, Stefan Feuerriegel, Maytal Saar-Tsechansky
2024	—	`conf`	Data-driven Subgrouping of Patient Trajectories with Chronic Diseases: Evidence from Low Back Pain. CHIL Christof Naumzik, Alice Kongsted, Werner Vach, Stefan Feuerriegel
2024	J	`jnl`	Data-driven subgrouping of patient trajectories with chronic diseases: Evidence from low back pain. CoRR Christof Naumzik, Alice Kongsted, Werner Vach, Stefan Feuerriegel
2024	J	`jnl`	Designing electricity distribution networks: The impact of demand coincidence. Eur. J. Oper. Res. Gunther Gust, Alexander Schlüter, Stefan Feuerriegel, Ignacio Úbeda, Jonathan T. Lee, Dirk Neumann
2024	A*	`conf`	DiffPO: A causal diffusion model for learning distributions of potential outcomes. NeurIPS Yuchen Ma, Valentyn Melnychuk, Jonas Schweisthal, Stefan Feuerriegel
2024	J	`jnl`	DiffPO: A causal diffusion model for learning distributions of potential outcomes. CoRR Yuchen Ma, Valentyn Melnychuk, Jonas Schweisthal, Stefan Feuerriegel
2024	J	`jnl`	Explainable AI improves task performance in human-AI collaboration. CoRR Julian Senoner, Simon Schallmoser, Bernhard Kratzwald, Stefan Feuerriegel, Torbjørn H. Netland
2024	A*	`conf`	Fair Off-Policy Learning from Observational Data. ICML Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
2024	J	`jnl`	G-Transformer for Conditional Average Potential Outcome Estimation over Time. CoRR Konstantin Hess, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
2024	J	`jnl`	Generative AI may backfire for counterspeech. CoRR Dominik Bär, Abdurahman Maarouf, Stefan Feuerriegel
2024	J	`jnl`	Generative AI. Bus. Inf. Syst. Eng. Stefan Feuerriegel, Jochen Hartmann, Christian Janiesch, Patrick Zschech
2024	—	`conf`	HQP: A Human-Annotated Dataset for Detecting Online Propaganda. ACL (Findings) Abdurahman Maarouf, Dominik Bär, Dominique Geissler, Stefan Feuerriegel
2024	J	`jnl`	Learning Representations of Instruments for Partial Identification of Treatment Effects. CoRR Jonas Schweisthal, Dennis Frauen, Maresa Schröder, Konstantin Hess, Niki Kilbertus, Stefan Feuerriegel
2024	J	`jnl`	Leveraging AI for Management Decision-Making (Dagstuhl Seminar 24342). Dagstuhl Reports Stefan Feuerriegel, Foster J. Provost, Galit Shmueli
2024	A*	`conf`	Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments. ICML Jonas Schweisthal, Dennis Frauen, Mihaela van der Schaar, Stefan Feuerriegel
2024	J	`jnl`	Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments. CoRR Jonas Schweisthal, Dennis Frauen, Mihaela van der Schaar, Stefan Feuerriegel
2024	J	`jnl`	Model-agnostic meta-learners for estimating heterogeneous treatment effects over time. CoRR Dennis Frauen, Konstantin Hess, Stefan Feuerriegel
2024	A*	`conf`	Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner. NeurIPS Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar
2024	J	`jnl`	Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner. CoRR Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar
2024	—	`conf`	Sequential Deconfounding for Causal Inference with Unobserved Confounders. CLeaR Tobias Hatt, Stefan Feuerriegel
2024	J	`jnl`	Slowing Down Forgetting in Continual Learning. CoRR Pascal Janetzky, Tobias Schlagenhauf, Stefan Feuerriegel
2024	J	`jnl`	Stabilized Neural Prediction of Potential Outcomes in Continuous Time. CoRR Konstantin Hess, Stefan Feuerriegel
2024	J	`jnl`	The Effect of Education in Prompt Engineering: Evidence from Journalists. CoRR Amirsiavosh Bashardoust, Yuanjun Feng, Dominique Geissler, Stefan Feuerriegel, Yash Raj Shrestha
2024	J	`jnl`	The Virality of Hate Speech on Social Media. Proc. ACM Hum. Comput. Interact. Abdurahman Maarouf, Nicolas Pröllochs, Stefan Feuerriegel
2024	J	`jnl`	Which Linguistic Cues Make People Fall for Fake News? A Comparison of Cognitive and Affective Processing. Proc. ACM Hum. Comput. Interact. Bernhard Lutz, Marc T. P. Adam, Stefan Feuerriegel, Nicolas Pröllochs, Dirk Neumann
2023	J	`jnl`	A Neural Framework for Generalized Causal Sensitivity Analysis. CoRR Dennis Frauen, Fergus Imrie, Alicia Curth, Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar
2023	J	`jnl`	A comparison of short-term probabilistic forecasts for the incidence of COVID-19 using mechanistic and statistical time series models. CoRR Nicolas Banholzer, Thomas A. Mellan, H. Juliette T. Unwin, Stefan Feuerriegel, Swapnil Mishra, Samir Bhatt
2023	J	`jnl`	Addressing distributional shifts in operations management: The case of order fulfillment in customized production. CoRR Julian Senoner, Bernhard Kratzwald, Milan Kuzmanovic, Torbjørn H. Netland, Stefan Feuerriegel
2023	—	`conf`	Analyzing Social Media Activities at Bellingcat. WebSci Dominik Bär, Fausto Calderon, Michael Lawlor, Sophia Licklederer, Manuel Totzauer, Stefan Feuerriegel
2023	J	`jnl`	Analyzing the Strategy of Propaganda using Inverse Reinforcement Learning: Evidence from the 2022 Russian Invasion of Ukraine. CoRR Dominique Geissler, Stefan Feuerriegel
2023	J	`jnl`	Auditing Targeted Political Advertising on Social Media During the 2021 German Election. CoRR Dominik Bär, Francesco Pierri, Gianmarco De Francisci Morales, Stefan Feuerriegel
2023	J	`jnl`	Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation. CoRR Konstantin Hess, Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
2023	J	`jnl`	Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation. CoRR Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
2023	J	`jnl`	Building open-source AI. Nat. Comput. Sci. Yash Raj Shrestha, Georg von Krogh, Stefan Feuerriegel
2023	J	`jnl`	Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework. CoRR Maresa Schröder, Dennis Frauen, Stefan Feuerriegel
2023	J	`jnl`	Causal Understanding of Why Users Share Hate Speech on Social Media. CoRR Dominique Geissler, Abdurahman Maarouf, Stefan Feuerriegel
2023	A*	`conf`	Contrastive Learning for Unsupervised Domain Adaptation of Time Series. ICLR Yilmazcan Özyurt, Stefan Feuerriegel, Ce Zhang
2023	J	`jnl`	Counterfactual Fairness for Predictions using Generative Adversarial Networks. CoRR Yuchen Ma, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
2023	A*	`conf`	DSG: An End-to-End Document Structure Generator. ICDM Johannes Rausch, Gentiana Rashiti, Maxim Gusev, Ce Zhang, Stefan Feuerriegel
2023	J	`jnl`	DSG: An End-to-End Document Structure Generator. CoRR Johannes Rausch, Gentiana Rashiti, Maxim Gusev, Ce Zhang, Stefan Feuerriegel
2023	J	`jnl`	Data-Driven Allocation of Preventive Care With Application to Diabetes Mellitus Type II. CoRR Mathias Kraus, Stefan Feuerriegel, Maytal Saar-Tsechansky
2023	J	`jnl`	Data-driven dynamic treatment planning for chronic diseases. Eur. J. Oper. Res. Christof Naumzik, Stefan Feuerriegel, Anne Molgaard Nielsen
2023	J	`jnl`	Designing Electricity Distribution Networks: The Impact of Demand Coincidence. CoRR Gunther Gust, Alexander Schlüter, Stefan Feuerriegel, Ignacio Úbeda, Jonathan T. Lee, Dirk Neumann
2023	A*	`conf`	Estimating Average Causal Effects from Patient Trajectories. AAAI Dennis Frauen, Tobias Hatt, Valentyn Melnychuk, Stefan Feuerriegel
2023	A	`conf`	Estimating Conditional Average Treatment Effects with Missing Treatment Information. AISTATS Milan Kuzmanovic, Tobias Hatt, Stefan Feuerriegel
2023	A*	`conf`	Estimating individual treatment effects under unobserved confounding using binary instruments. ICLR Dennis Frauen, Stefan Feuerriegel
2023	J	`jnl`	Fair Off-Policy Learning from Observational Data. CoRR Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
2023	A	`conf`	Finding Qs: Profiling QAnon Supporters on Parler. ICWSM Dominik Bär, Nicolas Pröllochs, Stefan Feuerriegel
2023	J	`jnl`	Generative AI. CoRR Stefan Feuerriegel, Jochen Hartmann, Christian Janiesch, Patrick Zschech
2023	J	`jnl`	HQP: A Human-Annotated Dataset for Detecting Online Propaganda. CoRR Abdurahman Maarouf, Dominik Bär, Dominique Geissler, Stefan Feuerriegel
2023	J	`jnl`	In-Context Few-Shot Relation Extraction via Pre-Trained Language Models. CoRR Yilmazcan Özyurt, Stefan Feuerriegel, Ce Zhang
2023	A*	`conf`	Leveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk driving. CHI Kevin Koch, Martin Maritsch, Eva van Weenen, Stefan Feuerriegel, Matthias Pfäffli, Elgar Fleisch, Wolfgang Weinmann, Felix Wortmann
2023	J	`jnl`	Leveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk driving. CoRR Kevin Koch, Martin Maritsch, Eva van Weenen, Stefan Feuerriegel, Matthias Pfäffli, Elgar Fleisch, Wolfgang Weinmann, Felix Wortmann
2023	B	`conf`	Locating disparities in machine learning. IEEE Big Data Moritz von Zahn, Oliver Hinz, Stefan Feuerriegel
2023	J	`jnl`	Mechanisms of True and False Rumor Sharing in Social Media: Collective Intelligence or Herd Behavior? Proc. ACM Hum. Comput. Interact. Nicolas Pröllochs, Stefan Feuerriegel
2023	J	`jnl`	New Threats to Society from Free-Speech Social Media Platforms. Commun. ACM Dominik Bär, Nicolas Pröllochs, Stefan Feuerriegel
2023	J	`jnl`	New threats to society from free-speech social media platforms. CoRR Dominik Bär, Nicolas Pröllochs, Stefan Feuerriegel
2023	A*	`conf`	Normalizing Flows for Interventional Density Estimation. ICML Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
2023	A	`conf`	Online Emotions during the Storming of the U.S. Capitol: Evidence from the Social Media Network Parler. ICWSM Johannes Jakubik, Michael Vössing, Nicolas Pröllochs, Dominik Bär, Stefan Feuerriegel
2023	A*	`conf`	Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model. NeurIPS Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
2023	J	`jnl`	Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model. CoRR Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
2023	A*	`conf`	Reliable Off-Policy Learning for Dosage Combinations. NeurIPS Jonas Schweisthal, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
2023	J	`jnl`	Reliable Off-Policy Learning for Dosage Combinations. CoRR Jonas Schweisthal, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
2023	J	`jnl`	Russian propaganda on social media during the 2022 invasion of Ukraine. EPJ Data Sci. Dominique Geissler, Dominik Bär, Nicolas Pröllochs, Stefan Feuerriegel
2023	A*	`conf`	Sharp Bounds for Generalized Causal Sensitivity Analysis. NeurIPS Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
2023	J	`jnl`	Sharp Bounds for Generalized Causal Sensitivity Analysis. CoRR Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
2023	J	`jnl`	Which linguistic cues make people fall for fake news? A comparison of cognitive and affective processing. CoRR Bernhard Lutz, Marc T. P. Adam, Stefan Feuerriegel, Nicolas Pröllochs, Dirk Neumann
2022	J	`jnl`	"Is It My Turn?" Assessing Teamwork and Taskwork in Collaborative Immersive Analytics. CoRR Michaela Benk, Raphael Weibel, Stefan Feuerriegel, Andrea Ferrario
2022	J	`jnl`	"Is It My Turn?": Assessing Teamwork and Taskwork in Collaborative Immersive Analytics. Proc. ACM Hum. Comput. Interact. Michaela Benk, Raphael Weibel, Stefan Feuerriegel, Andrea Ferrario
2022	A*	`conf`	A Deep Markov Model for Clickstream Analytics in Online Shopping. WWW Yilmazcan Özyurt, Tobias Hatt, Ce Zhang, Stefan Feuerriegel
2022	J	`jnl`	A sociotechnical view of algorithmic fairness. Inf. Syst. J. Mateusz Dolata, Stefan Feuerriegel, Gerhard Schwabe
2022	J	`jnl`	Algorithmic Fairness in Business Analytics: Directions for Research and Practice. CoRR Maria De-Arteaga, Stefan Feuerriegel, Maytal Saar-Tsechansky
2022	J	`jnl`	Analyzing Social Media Activities at Bellingcat. CoRR Dominik Bär, Fausto Calderon, Michael Lawlor, Sophia Licklederer, Manuel Totzauer, Stefan Feuerriegel
2022	J	`jnl`	Artificial intelligence across company borders. Commun. ACM Olga Fink, Torbjørn H. Netland, Stefan Feuerriegel
2022	J	`jnl`	Bringing artificial intelligence to business management. Nat. Mach. Intell. Stefan Feuerriegel, Yash Raj Shrestha, Georg von Krogh, Ce Zhang
2022	A*	`conf`	Causal Transformer for Estimating Counterfactual Outcomes. ICML Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
2022	J	`jnl`	Causal Transformer for Estimating Counterfactual Outcomes. CoRR Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
2022	J	`jnl`	Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects. CoRR Tobias Hatt, Jeroen Berrevoets, Alicia Curth, Stefan Feuerriegel, Mihaela van der Schaar
2022	J	`jnl`	Contrastive Learning for Unsupervised Domain Adaptation of Time Series. CoRR Yilmazcan Özyurt, Stefan Feuerriegel, Ce Zhang
2022	A*	`conf`	Detecting False Rumors from Retweet Dynamics on Social Media. WWW Christof Naumzik, Stefan Feuerriegel
2022	J	`jnl`	Detecting False Rumors from Retweet Dynamics on Social Media. CoRR Christof Naumzik, Stefan Feuerriegel
2022	J	`jnl`	Detecting User Exits from Online Behavior: A Duration-Dependent Latent State Model. CoRR Tobias Hatt, Stefan Feuerriegel
2022	J	`jnl`	Estimating Conditional Average Treatment Effects with Missing Treatment Information. CoRR Milan Kuzmanovic, Tobias Hatt, Stefan Feuerriegel
2022	J	`jnl`	Estimating average causal effects from patient trajectories. CoRR Dennis Frauen, Tobias Hatt, Valentyn Melnychuk, Stefan Feuerriegel
2022	J	`jnl`	Estimating individual treatment effects under unobserved confounding using binary instruments. CoRR Dennis Frauen, Stefan Feuerriegel
2022	J	`jnl`	Finding Qs: Profiling QAnon Supporters on Parler. CoRR Dominik Bär, Nicolas Pröllochs, Stefan Feuerriegel
2022	A	`conf`	Generalizing off-policy learning under sample selection bias. UAI Tobias Hatt, Daniel Tschernutter, Stefan Feuerriegel
2022	J	`jnl`	I Will Survive: Predicting Business Failures from Customer Ratings. Mark. Sci. Christof Naumzik, Stefan Feuerriegel, Markus Weinmann
2022	A*	`conf`	Interpretable Off-Policy Learning via Hyperbox Search. ICML Daniel Tschernutter, Tobias Hatt, Stefan Feuerriegel
2022	J	`jnl`	Interpretable Off-Policy Learning via Hyperbox Search. CoRR Daniel Tschernutter, Tobias Hatt, Stefan Feuerriegel
2022	—	`conf`	Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine. MLHC Theresa Blümlein, Joel Persson, Stefan Feuerriegel
2022	J	`jnl`	Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine. CoRR Theresa Blümlein, Joel Persson, Stefan Feuerriegel
2022	J	`jnl`	Locating disparities in machine learning. CoRR Moritz von Zahn, Oliver Hinz, Stefan Feuerriegel
2022	J	`jnl`	Mechanisms of True and False Rumor Sharing in Social Media: Wisdom-of-Crowds or Herd Behavior? CoRR Nicolas Pröllochs, Stefan Feuerriegel
2022	A	`conf`	Mining Points-of-Interest Data to Predict Urban Inequality: Evidence from Germany and France. ICWSM Manuel Ganter, Malte Toetzke, Stefan Feuerriegel
2022	J	`jnl`	Normalizing Flows for Interventional Density Estimation. CoRR Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
2022	J	`jnl`	Online Emotions During the Storming of the U.S. Capitol: Evidence from the Social Media Network Parler. CoRR Johannes Jakubik, Michael Vössing, Dominik Bär, Nicolas Pröllochs, Stefan Feuerriegel
2022	A*	`conf`	QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation. EMNLP Zhenrui Yue, Huimin Zeng, Bernhard Kratzwald, Stefan Feuerriegel, Dong Wang
2022	J	`jnl`	QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation. CoRR Zhenrui Yue, Huimin Zeng, Bernhard Kratzwald, Stefan Feuerriegel, Dong Wang
2022	J	`jnl`	Russian propaganda on social media during the 2022 invasion of Ukraine. CoRR Dominique Geissler, Dominik Bär, Nicolas Pröllochs, Stefan Feuerriegel
2022	J	`jnl`	The Cost of Fairness in AI: Evidence from E-Commerce. Bus. Inf. Syst. Eng. Moritz von Zahn, Stefan Feuerriegel, Niklas Kuehl
2022	J	`jnl`	The Virality of Hate Speech on Social Media. CoRR Abdurahman Maarouf, Nicolas Pröllochs, Stefan Feuerriegel
2022	J	`jnl`	Using Explainable Artificial Intelligence to Improve Process Quality: Evidence from Semiconductor Manufacturing. Manag. Sci. Julian Senoner, Torbjørn H. Netland, Stefan Feuerriegel
2022	—	`conf`	Web Mining to Inform Locations of Charging Stations for Electric Vehicles. WWW (Companion Volume) Philipp Hummler, Christof Naumzik, Stefan Feuerriegel
2022	J	`jnl`	Web Mining to Inform Locations of Charging Stations for Electric Vehicles. CoRR Philipp Hummler, Christof Naumzik, Stefan Feuerriegel
2021	—	`conf`	A Latent Customer Flow Model for Interpretable Predictions of Check-In Counts. IEEE BigData Daniel Tschernutter, Stefan Feuerriegel
2021	J	`jnl`	A Sociotechnical View of Algorithmic Fairness. CoRR Mateusz Dolata, Stefan Feuerriegel, Gerhard Schwabe
2021	J	`jnl`	Artificial intelligence across company borders. CoRR Olga Fink, Torbjørn H. Netland, Stefan Feuerriegel
2021	A*	`conf`	AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units. KDD Yilmazcan Özyurt, Mathias Kraus, Tobias Hatt, Stefan Feuerriegel
2021	J	`jnl`	AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units. CoRR Yilmazcan Özyurt, Mathias Kraus, Tobias Hatt, Stefan Feuerriegel
2021	—	`conf`	Contrastive Domain Adaptation for Question Answering using Limited Text Corpora. EMNLP (1) Zhenrui Yue, Bernhard Kratzwald, Stefan Feuerriegel
2021	J	`jnl`	Contrastive Domain Adaptation for Question Answering using Limited Text Corpora. CoRR Zhenrui Yue, Bernhard Kratzwald, Stefan Feuerriegel
2021	—	`conf`	Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies. ML4H@NeurIPS Milan Kuzmanovic, Tobias Hatt, Stefan Feuerriegel
2021	J	`jnl`	Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies. CoRR Milan Kuzmanovic, Tobias Hatt, Stefan Feuerriegel
2021	J	`jnl`	Directed particle swarm optimization with Gaussian-process-based function forecasting. CoRR Johannes Jakubik, Adrian Binding, Stefan Feuerriegel
2021	J	`jnl`	Directed particle swarm optimization with Gaussian-process-based function forecasting. Eur. J. Oper. Res. Johannes Jakubik, Adrian Binding, Stefan Feuerriegel
2021	A*	`conf`	DocParser: Hierarchical Document Structure Parsing from Renderings. AAAI Johannes Rausch, Octavio Martinez, Fabian Bissig, Ce Zhang, Stefan Feuerriegel
2021	J	`jnl`	Emotions in online rumor diffusion. EPJ Data Sci. Nicolas Pröllochs, Dominik Bär, Stefan Feuerriegel
2021	A	`conf`	Estimating Average Treatment Effects via Orthogonal Regularization. CIKM Tobias Hatt, Stefan Feuerriegel
2021	J	`jnl`	Estimating Average Treatment Effects via Orthogonal Regularization. CoRR Tobias Hatt, Stefan Feuerriegel
2021	—	`conf`	Exploring the Effect of Visual Cues on Eye Gaze During AR-Guided Picking and Assembly Tasks. ISMAR Adjunct Arne Seeliger, Gerrit Merz, Christian Holz, Stefan Feuerriegel
2021	J	`jnl`	Exploring the Effect of Visual Cues on Eye Gaze During AR-Guided Picking and Assembly Tasks. CoRR Arne Seeliger, Gerrit Merz, Christian Holz, Stefan Feuerriegel
2021	J	`jnl`	Generalizing Off-Policy Learning under Sample Selection Bias. CoRR Tobias Hatt, Daniel Tschernutter, Stefan Feuerriegel
2021	J	`jnl`	Interface Design for Human-Machine Collaborations in Drone Management. IEEE Access Stefan Feuerriegel, Rúben Geraldes, Artur Goncalves, Ziqi Liu, Helmut Prendinger
2021	J	`jnl`	Investor Reaction to Financial Disclosures across Topics: An Application of Latent Dirichlet Allocation. Decis. Sci. Stefan Feuerriegel, Nicolas Pröllochs
2021	—	`conf`	Modeling longitudinal dynamics of comorbidities. CHIL Basil Maag, Stefan Feuerriegel, Mathias Kraus, Maytal Saar-Tsechansky, Thomas Züger
2021	A*	`conf`	Predicting COVID-19 Spread from Large-Scale Mobility Data. KDD Amray Schwabe, Joel Persson, Stefan Feuerriegel
2021	J	`jnl`	Predicting COVID-19 Spread from Large-Scale Mobility Data. CoRR Amray Schwabe, Joel Persson, Stefan Feuerriegel
2021	J	`jnl`	Sequential Deconfounding for Causal Inference with Unobserved Confounders. CoRR Tobias Hatt, Stefan Feuerriegel
2020	—	`conf`	ALEEDSA: Augmented Reality for Interactive Machine Learning. CHI Extended Abstracts Andrea Ferrario, Raphael Weibel, Stefan Feuerriegel
2020	J	`jnl`	Business analytics for strategic management: Identifying and assessing corporate challenges via topic modeling. Inf. Manag. Nicolas Pröllochs, Stefan Feuerriegel
2020	A*	`conf`	Cascade-LSTM: A Tree-Structured Neural Classifier for Detecting Misinformation Cascades. KDD Francesco Ducci, Mathias Kraus, Stefan Feuerriegel
2020	J	`jnl`	Deep learning in business analytics and operations research: Models, applications and managerial implications. Eur. J. Oper. Res. Mathias Kraus, Stefan Feuerriegel, Asil Oztekin
2020	A*	`conf`	Early Detection of User Exits from Clickstream Data: A Markov Modulated Marked Point Process Model. WWW Tobias Hatt, Stefan Feuerriegel
2020	—	`conf`	Estimating Risk-Adjusted Hospital Performance. IEEE BigData Eva van Weenen, Stefan Feuerriegel
2020	J	`jnl`	Estimating Risk-Adjusted Hospital Performance. CoRR Eva van Weenen, Stefan Feuerriegel
2020	J	`jnl`	Fair AI. Bus. Inf. Syst. Eng. Stefan Feuerriegel, Mateusz Dolata, Gerhard Schwabe
2020	B	`conf`	IntKB: A Verifiable Interactive Framework for Knowledge Base Completion. COLING Bernhard Kratzwald, Kunpeng Guo, Stefan Feuerriegel, Dennis Diefenbach
2020	—	`conf`	Learning a Cost-Effective Annotation Policy for Question Answering. EMNLP (1) Bernhard Kratzwald, Stefan Feuerriegel, Huan Sun
2020	J	`jnl`	Learning a Cost-Effective Annotation Policy for Question Answering. CoRR Bernhard Kratzwald, Stefan Feuerriegel, Huan Sun
2020	A	`conf`	Leveraging Mobility Flows from Location Technology Platforms to Test Crime Pattern Theory in Large Cities. ICWSM Cristina Kadar, Stefan Feuerriegel, Anastasios Noulas, Cecilia Mascolo
2020	J	`jnl`	Leveraging Mobility Flows from Location Technology Platforms to Test Crime Pattern Theory in Large Cities. CoRR Cristina Kadar, Stefan Feuerriegel, Anastasios Noulas, Cecilia Mascolo
2020	J	`jnl`	Longitudinal healthcare analytics for disease management: Empirical demonstration for low back pain. Decis. Support Syst. Michael Mueller-Peltzer, Stefan Feuerriegel, Anne Molgaard Nielsen, Alice Kongsted, Werner Vach, Dirk Neumann
2020	A*	`conf`	Mining Points-of-Interest for Explaining Urban Phenomena: A Scalable Variational Inference Approach. WWW Christof Naumzik, Patrick Zoechbauer, Stefan Feuerriegel
2020	J	`jnl`	Negation scope detection for sentiment analysis: A reinforcement learning framework for replicating human interpretations. Inf. Sci. Nicolas Pröllochs, Stefan Feuerriegel, Bernhard Lutz, Dirk Neumann
2020	A*	`conf`	One Picture Is Worth a Thousand Words? The Pricing Power of Images in e-Commerce. WWW Christof Naumzik, Stefan Feuerriegel
2020	J	`jnl`	Practical Annotation Strategies for Question Answering Datasets. CoRR Bernhard Kratzwald, Xiang Yue, Huan Sun, Stefan Feuerriegel
2020	A*	`conf`	Sample Complexity Bounds for RNNs with Application to Combinatorial Graph Problems (Student Abstract). AAAI Nil-Jana Akpinar, Bernhard Kratzwald, Stefan Feuerriegel
2020	—	`conf`	Towards Wearable-based Hypoglycemia Detection and Warning in Diabetes. CHI Extended Abstracts Martin Maritsch, Simon Föll, Vera Lehmann, Caterina Bérubé, Mathias Kraus, Stefan Feuerriegel, Tobias Kowatsch, Thomas Züger, Christoph Stettler, Elgar Fleisch, Felix Wortmann
2019	—	`conf`	Bringing Advanced Analytics to Manufacturing: A Systematic Mapping. APMS (1) Hergen Wolf, Rafael Lorenz, Mathias Kraus, Stefan Feuerriegel, Torbjørn H. Netland
2019	J	`jnl`	DocParser: Hierarchical Structure Parsing of Document Renderings. CoRR Johannes Rausch, Octavio Martinez, Fabian Bissig, Ce Zhang, Stefan Feuerriegel
2019	J	`jnl`	Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences. CoRR Mathias Kraus, Stefan Feuerriegel
2019	J	`jnl`	Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences. Decis. Support Syst. Mathias Kraus, Stefan Feuerriegel
2019	J	`jnl`	Improving Heart Rate Variability Measurements from Consumer Smartwatches with Machine Learning. CoRR Martin Maritsch, Caterina Bérubé, Mathias Kraus, Vera Lehmann, Thomas Züger, Stefan Feuerriegel, Tobias Kowatsch, Felix Wortmann
2019	—	`conf`	Improving heart rate variability measurements from consumer smartwatches with machine learning. UbiComp/ISWC Adjunct Martin Maritsch, Caterina Bérubé, Mathias Kraus, Vera Lehmann, Thomas Züger, Stefan Feuerriegel, Tobias Kowatsch, Felix Wortmann
2019	—	`conf`	Learning Interpretable Negation Rules via Weak Supervision at Document Level: A Reinforcement Learning Approach. NAACL-HLT (1) Nicolas Pröllochs, Stefan Feuerriegel, Dirk Neumann
2019	A*	`conf`	Learning from On-Line User Feedback in Neural Question Answering on the Web. WWW Bernhard Kratzwald, Stefan Feuerriegel
2019	J	`jnl`	News-based forecasts of macroeconomic indicators: A semantic path model for interpretable predictions. Eur. J. Oper. Res. Stefan Feuerriegel, Julius Gordon
2019	A*	`conf`	Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching. KDD Mathias Kraus, Stefan Feuerriegel
2019	J	`jnl`	Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching. CoRR Mathias Kraus, Stefan Feuerriegel
2019	J	`jnl`	Public decision support for low population density areas: An imbalance-aware hyper-ensemble for spatio-temporal crime prediction. CoRR Cristina Kadar, Rudolf Maculan, Stefan Feuerriegel
2019	J	`jnl`	Public decision support for low population density areas: An imbalance-aware hyper-ensemble for spatio-temporal crime prediction. Decis. Support Syst. Cristina Kadar, Rudolf Maculan, Stefan Feuerriegel
2019	J	`jnl`	Putting Question-Answering Systems into Practice: Transfer Learning for Efficient Domain Customization. ACM Trans. Manag. Inf. Syst. Bernhard Kratzwald, Stefan Feuerriegel
2019	—	`conf`	RankQA: Neural Question Answering with Answer Re-Ranking. ACL (1) Bernhard Kratzwald, Anna Eigenmann, Stefan Feuerriegel
2019	J	`jnl`	RankQA: Neural Question Answering with Answer Re-Ranking. CoRR Bernhard Kratzwald, Anna Eigenmann, Stefan Feuerriegel
2019	J	`jnl`	ReinforcementLearning: A Package to Perform Model-Free Reinforcement Learning in R. J. Open Source Softw. Nicolas Pröllochs, Stefan Feuerriegel
2019	J	`jnl`	Sample Complexity Bounds for Recurrent Neural Networks with Application to Combinatorial Graph Problems. CoRR Nil-Jana Akpinar, Bernhard Kratzwald, Stefan Feuerriegel
2019	J	`jnl`	Sentiment analysis based on rhetorical structure theory: Learning deep neural networks from discourse trees. Expert Syst. Appl. Mathias Kraus, Stefan Feuerriegel
2018	A*	`conf`	Adaptive Document Retrieval for Deep Question Answering. EMNLP Bernhard Kratzwald, Stefan Feuerriegel
2018	J	`jnl`	Adaptive Document Retrieval for Deep Question Answering. CoRR Bernhard Kratzwald, Stefan Feuerriegel
2018	J	`jnl`	Decision support with text-based emotion recognition: Deep learning for affective computing. CoRR Bernhard Kratzwald, Suzana Ilic, Mathias Kraus, Stefan Feuerriegel, Helmut Prendinger
2018	J	`jnl`	Deep learning for affective computing: Text-based emotion recognition in decision support. Decis. Support Syst. Bernhard Kratzwald, Suzana Ilic, Mathias Kraus, Stefan Feuerriegel, Helmut Prendinger
2018	J	`jnl`	Deep learning in business analytics and operations research: Models, applications and managerial implications. CoRR Mathias Kraus, Stefan Feuerriegel, Asil Oztekin
2018	—	`conf`	Information Processing of Financial News: The Role of Cognitive Dissonance and Information Avoidance. ECIS Nicolas Pröllochs, Marc T. P. Adam, Stefan Feuerriegel, Dirk Neumann
2018	J	`jnl`	Investor Reaction to Financial Disclosures Across Topics: An Application of Latent Dirichlet Allocation. CoRR Stefan Feuerriegel, Nicolas Pröllochs
2018	J	`jnl`	Long-term stock index forecasting based on text mining of regulatory disclosures. Decis. Support Syst. Stefan Feuerriegel, Julius Gordon
2018	J	`jnl`	Modeling interferences in information systems design for cyberphysical systems: Insights from a smart grid application. Eur. J. Inf. Syst. Tobias Brandt, Stefan Feuerriegel, Dirk Neumann
2018	J	`jnl`	News-based trading strategies. CoRR Stefan Feuerriegel, Helmut Prendinger
2018	J	`jnl`	Putting Question-Answering Systems into Practice: Transfer Learning for Efficient Domain Customization. CoRR Bernhard Kratzwald, Stefan Feuerriegel
2018	J	`jnl`	Reinforcement Learning in R. CoRR Nicolas Pröllochs, Stefan Feuerriegel
2017	J	`jnl`	Crossing the next frontier: the role of ICT in driving the financialization of credit. J. Inf. Technol. Daniel Drummer, Stefan Feuerriegel, Dirk Neumann
2017	J	`jnl`	Decision support from financial disclosures with deep neural networks and transfer learning. CoRR Mathias Kraus, Stefan Feuerriegel
2017	J	`jnl`	Decision support from financial disclosures with deep neural networks and transfer learning. Decis. Support Syst. Mathias Kraus, Stefan Feuerriegel
2017	—	`ed.`	Enterprise Applications, Markets and Services in the Finance Industry - 8th International Workshop, FinanceCom 2016, Frankfurt, Germany, December 8, 2016, Revised Papers FinanceCom Stefan Feuerriegel, Dirk Neumann
2017	—	`conf`	Improving Sentiment Analysis with Document-Level Semantic Relationships from Rhetoric Discourse Structures. HICSS Joscha Märkle-Huß, Stefan Feuerriegel, Helmut Prendinger
2017	J	`jnl`	Language That Matters: Statistical Inferences for Polarity Identification in Natural Language. CoRR Nicolas Pröllochs, Stefan Feuerriegel, Dirk Neumann
2017	J	`jnl`	Making the most of fleets: A profit-maximizing multi-vehicle pickup and delivery selection problem. Eur. J. Oper. Res. Xiaoqiu Qiu, Stefan Feuerriegel, Dirk Neumann
2017	J	`jnl`	Sentiment analysis based on rhetorical structure theory: Learning deep neural networks from discourse trees. CoRR Mathias Kraus, Stefan Feuerriegel
2017	—	`conf`	Setting the Right Tone: How Data Science Enables Investor Communication to Choose the Right Language. Wirtschaftsinformatik Simon Jonas Alfano, Nicolas Pröllochs, Joscha Märkle-Huss, Stefan Feuerriegel, Dirk Neumann
2017	—	`conf`	Understanding Consumer Behavior in Electronic Commerce with Image Sentiment. Wirtschaftsinformatik Christof Naumzik, Stefan Feuerriegel, Dirk Neumann
2017	J	`jnl`	Understanding Negations in Information Processing: Learning from Replicating Human Behavior. CoRR Nicolas Pröllochs, Stefan Feuerriegel, Dirk Neumann
2016	—	`conf`	Analysis of How Underlying Topics in Financial News Affect Stock Prices Using Latent Dirichlet Allocation. HICSS Stefan Feuerriegel, Antal Ratku, Dirk Neumann
2016	—	`conf`	Business Intelligence for Business Processes: the Case of IT Incident Management. ECIS Niklas Goby, Tobias Brandt, Stefan Feuerriegel, Dirk Neumann
2016	—	`conf`	Decision Model for Sustainable Electricity Procurement Using Nationwide Demand Response. HICSS Joscha Märkle-Huss, Stefan Feuerriegel, Dirk Neumann
2016	J	`jnl`	Decision support in healthcare: determining provider influence on treatment outcomes with robust risk adjustment. J. Decis. Syst. Stefan Feuerriegel
2016	—	`conf`	Detecting Negation Scopes for Financial News Sentiment Using Reinforcement Learning. HICSS Nicolas Prollochs, Stefan Feuerriegel, Dirk Neumann
2016	—	`conf`	Driven by News Tone? Understanding Information Processing when Covariates are Unknown: The Case of Natural Gas Price Movements. MKWI Simon Jonas Alfano, Max Rapp, Nicolas Pröllochs, Stefan Feuerriegel, Dirk Neumann
2016	—	`conf`	Improving Decision Analytics with Deep Learning: the Case of Financial Disclosures. ECIS Stefan Feuerriegel, Ralph Fehrer
2016	C	`conf`	Is Human Information Processing Affected by Emotional Content? Understanding The Role of Facts and Emotions in the Stock Market. ICIS Nicolas Pröllochs, Stefan Feuerriegel, Dirk Neumann
2016	J	`jnl`	Negation scope detection in sentiment analysis: Decision support for news-driven trading. Decis. Support Syst. Nicolas Pröllochs, Stefan Feuerriegel, Dirk Neumann
2016	J	`jnl`	News-based trading strategies. Decis. Support Syst. Stefan Feuerriegel, Helmut Prendinger
2016	—	`conf`	Time Series Analysis for Big Data: Evaluating Bayesian Structural Time Series using Electricity Prices. MKWI Nicole Ludwig, Stefan Feuerriegel, Dirk Neumann
2015	—	`conf`	Do Investors Read Too Much into News? How News Sentiment Causes Price Formation. HICSS Stefan Feuerriegel, Sebastian Felix Heitzmann, Dirk Neumann
2015	—	`conf`	Enhancing Sentiment Analysis of Financial News by Detecting Negation Scopes. HICSS Nicolas Prollochs, Stefan Feuerriegel, Dirk Neumann
2015	—	`conf`	Generating Domain-Specific Dictionaries using Bayesian Learning. ECIS Nicolas Pröllochs, Stefan Feuerriegel, Dirk Neumann
2015	J	`jnl`	Improving Decision Analytics with Deep Learning: The Case of Financial Disclosures. CoRR Ralph Fehrer, Stefan Feuerriegel
2015	C	`conf`	Information Processing of Foreign Exchange News: Extending the Overshooting Model to Include Qualitative Information from News Sentiment. ICIS Stefan Feuerriegel, Georg Wolff, Dirk Neumann
2015	—	`conf`	Is News Sentiment More Than Just Noise? ECIS Simon Jonas Alfano, Stefan Feuerriegel, Dirk Neumann
2015	J	`jnl`	Putting Big Data analytics to work: Feature selection for forecasting electricity prices using the LASSO and random forests. J. Decis. Syst. Nicole Ludwig, Stefan Feuerriegel, Dirk Neumann
2015	J	`jnl`	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. Stefan Feuerriegel, H. Martin Bücker
2014	—	`conf`	A Multi-Vehicle Profitable pickup and Delivery Selection Problem with Time Windows. ECIS Xiaoqiu Qiu, Stefan Feuerriegel
2014	—	`conf`	Costs of Integrating demand response Systems in electricity Markets. ECIS Philipp Bodenbenner, Stefan Feuerriegel
2014	J	`jnl`	Emergency response in natural disaster management: Allocation and scheduling of rescue units. Eur. J. Oper. Res. Felix Wex, Guido Schryen, Stefan Feuerriegel, Dirk Neumann
2014	—	`conf`	Evaluation of News-Based Trading Strategies. FinanceCom Stefan Feuerriegel, Dirk Neumann
2014	—	`conf`	Finding Evidence of Irrational Exuberance in the Oil Market. FinanceCom Antal Ratku, Stefan Feuerriegel, Fethi A. Rabhi, Dirk Neumann
2014	C	`conf`	Long- and Short-Term Impact of News Messages on House Prices: A Comparative Study of Spain and the United States. ICIS Jan-Otto Jandl, Stefan Feuerriegel, Dirk Neumann
2014	—	`conf`	News Processing during Speculative Bubbles: Evidence from the Oil Market. HICSS Stefan Feuerriegel, Max W. Lampe, Dirk Neumann
2014	—	`conf`	Predictive Analytics for electricity prices using Feed-INS from renewables. ECIS Stefan Feuerriegel, Simon Riedlinger, Dirk Neumann
2013	—	`conf`	A Household-Oriented Approach to The Benefits of Vehicle-To-Grid-Capable Electric Vehicles. Wirtschaftsinformatik Tobias Brandt, Stefan Feuerriegel, Dirk Neumann
2013	—	`conf`	A Normalization Scheme for the Non-symmetric s-Step Lanczos Algorithm. ICA3PP (2) Stefan Feuerriegel, H. Martin Bücker
2013	—	`conf`	Design Science in Practice: Designing an Electricity Demand Response System. DESRIST Philipp Bodenbenner, Stefan Feuerriegel, Dirk Neumann
2013	—	`conf`	Is More Information Better Than Less? Understanding The Impact Of Demand Response Mechanisms In Energy Markets. ECIS Stefan Feuerriegel, Philipp Bodenbenner, Dirk Neumann
2013	C	`conf`	News or Noise? How News Drives Commodity Prices. ICIS Stefan Feuerriegel, Dirk Neumann
2013	C	`conf`	Shaping a Sustainable Society: How Information Systems Utilize Hidden Synergies between Green Technologies. ICIS Tobias Brandt, Stefan Feuerriegel, Dirk Neumann
2013	—	`conf`	Synchronization-Reducing Variants of the Biconjugate Gradient and the Quasi-Minimal Residual Methods. ICA3PP (1) Stefan Feuerriegel, H. Martin Bücker
2012	C	`conf`	Reducing Price Uncertainty through Demand Side Management. ICIS Stefan Feuerriegel, Jens Strüker, Dirk Neumann