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Contextualizing Recommendation Explanations with LLMs: A User Study
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2025
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Yunjiang Feng
Stefan Feuerriegel
Yash Raj Shrestha
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PDF
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Constructing Confidence Intervals for Average Treatment Effects from
Multiple Datasets
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2024
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Yuxin Wang
Maresa Schröder
Dennis Frauen
Jonas Schweisthal
Konstantin Heß
Stefan Feuerriegel
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Generative AI may backfire for counterspeech
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2024
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Dominik Bär
Abdurahman Maarouf
Stefan Feuerriegel
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A qualitative analysis of remote patient monitoring: how a paradox
mindset can support balancing emotional tensions in the design of healthcare
technologies
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2024
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Zoe Jonassen
Katharine Lawrence
Batia M. Wiesenfeld
Stefan Feuerriegel
David Mann
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Slowing Down Forgetting in Continual Learning
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2024
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Pascal Janetzky
Tobias Schlagenhauf
Stefan Feuerriegel
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Analyzing the Strategy of Propaganda using Inverse Reinforcement Learning: Evidence from the 2022 Russian Invasion of Ukraine
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2024
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Dominique Geissler
Stefan Feuerriegel
|
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PDF
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Comparing the Willingness to Share for Human-generated vs. AI-generated Fake News
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2024
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Amirsiavosh Bashardoust
Stefan Feuerriegel
Yash Raj Shrestha
|
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PDF
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Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel
Orthogonal Learner
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2024
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Valentyn Melnychuk
Stefan Feuerriegel
Mihaela van der Schaar
|
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DiffPO: A causal diffusion model for learning distributions of potential
outcomes
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2024
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MA Yu-chen
Valentyn Melnychuk
Jonas Schweisthal
Stefan Feuerriegel
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PDF
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Learning Representations of Instruments for Partial Identification of
Treatment Effects
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2024
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Jonas Schweisthal
Dennis Frauen
Maresa Schröder
Konstantin Heß
Niki Kilbertus
Stefan Feuerriegel
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Stabilized Neural Prediction of Potential Outcomes in Continuous Time
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2024
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Konstantin Heß
Stefan Feuerriegel
|
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PDF
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Automated Knowledge Concept Annotation and Question Representation
Learning for Knowledge Tracing
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2024
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Yılmazcan Özyurt
Stefan Feuerriegel
Mrinmaya Sachan
|
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The Effect of Education in Prompt Engineering: Evidence from Journalists
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2024
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Amirsiavosh Bashardoust
Yunjiang Feng
Dominique Geissler
Stefan Feuerriegel
Yash Raj Shrestha
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A fused large language model for predicting startup success
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2024
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Abdurahman Maarouf
Stefan Feuerriegel
Nicolas Pröllochs
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PDF
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Causal Machine Learning for Cost-Effective Allocation of Development Aid
|
2024
|
Milan Kuzmanovic
Dennis Frauen
Tobias Hatt
Stefan Feuerriegel
|
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PDF
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Model-agnostic meta-learners for estimating heterogeneous treatment
effects over time
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2024
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Dennis Frauen
Konstantin Heß
Stefan Feuerriegel
|
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PDF
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Conformal Prediction for Causal Effects of Continuous Treatments
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2024
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Maresa Schröder
Dennis Frauen
Jonas Schweisthal
Konstantin Heß
Valentyn Melnychuk
Stefan Feuerriegel
|
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PDF
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Systematic discrepancies in the delivery of political ads on Facebook and Instagram
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2024
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Dominik Bär
Francesco Pierri
Gianmarco De Francisci Morales
Stefan Feuerriegel
|
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PDF
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Explainable AI improves task performance in human-AI collaboration
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2024
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Julian Senoner
Simon Schallmoser
Bernhard Kratzwald
Stefan Feuerriegel
Torbjørn H. Netland
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PDF
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Meta-Learners for Partially-Identified Treatment Effects Across Multiple
Environments
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2024
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Jonas Schweisthal
Dennis Frauen
Mihaela van der Schaar
Stefan Feuerriegel
|
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PDF
Chat
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G-Transformer for Conditional Average Potential Outcome Estimation over
Time
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2024
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Konstantin Heß
Dennis Frauen
Valentyn Melnychuk
Stefan Feuerriegel
|
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Which Linguistic Cues Make People Fall for Fake News? A Comparison of Cognitive and Affective Processing
|
2024
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Bernhard Lutz
Marc T. P. Adam
Stefan Feuerriegel
Nicolas Pröllochs
Dirk Neumann
|
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The Virality of Hate Speech on Social Media
|
2024
|
Abdurahman Maarouf
Nicolas Pröllochs
Stefan Feuerriegel
|
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+
PDF
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Data-driven subgrouping of patient trajectories with chronic diseases:
Evidence from low back pain
|
2024
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Christof Naumzik
Alice Kongsted
Werner Vach
Stefan Feuerriegel
|
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PDF
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Causal machine learning for predicting treatment outcomes
|
2024
|
Stefan Feuerriegel
Dennis Frauen
Valentyn Melnychuk
Jonas Schweisthal
Konstantin Heß
Alicia Curth
Stefan Bauer
Niki Kilbertus
Isaac S. Kohane
Mihaela van der Schaar
|
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PDF
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Comparing the willingness to share for human-generated vs. AI-generated
fake news
|
2024
|
Amirsiavosh Bashardoust
Stefan Feuerriegel
Yash Raj Shrestha
|
|
+
PDF
Chat
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Causal Machine Learning for Cost-Effective Allocation of Development Aid
|
2024
|
Milan Kuzmanovic
Dennis Frauen
Tobias Hatt
Stefan Feuerriegel
|
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A Globally Convergent Algorithm for Neural Network Parameter Optimization Based on Difference-of-Convex Functions
|
2024
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Daniel Tschernutter
Mathias Kraus
Stefan Feuerriegel
|
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PDF
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Locating disparities in machine learning
|
2023
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Moritz von Zahn
Oliver Hinz
Stefan Feuerriegel
|
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PDF
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DSG: An End-to-End Document Structure Generator
|
2023
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Johannes Rausch
Gentiana Rashiti
М А Гусев
Ce Zhang
Stefan Feuerriegel
|
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PDF
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Designing electricity distribution networks: The impact of demand coincidence
|
2023
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Gunther Gust
Alexander Schlüter
Stefan Feuerriegel
Ignacio Úbeda
Jonathan T. Lee
Dirk Neumann
|
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PDF
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Data-Driven Allocation of Preventive Care with Application to Diabetes Mellitus Type II
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2023
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Mathias Kraus
Stefan Feuerriegel
Maytal Saar‐Tsechansky
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PDF
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Mechanisms of True and False Rumor Sharing in Social Media: Collective Intelligence or Herd Behavior?
|
2023
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Nicolas Pröllochs
Stefan Feuerriegel
|
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PDF
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New Threats to Society from Free-Speech Social Media Platforms
|
2023
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Dominik Bär
Nicolas Pröllochs
Stefan Feuerriegel
|
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Generative AI
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2023
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Stefan Feuerriegel
Jochen Hartmann
Christian Janiesch
Patrick Zschech
|
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PDF
Chat
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Estimating Average Causal Effects from Patient Trajectories
|
2023
|
Dennis Frauen
Tobias Hatt
Valentyn Melnychuk
Stefan Feuerriegel
|
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+
PDF
Chat
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Addressing distributional shifts in operations management: The case of order fulfillment in customized production
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2023
|
Julian Senoner
Bernhard Kratzwald
Milan Kuzmanovic
Torbjörn H. Netland
Stefan Feuerriegel
|
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PDF
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Online Emotions during the Storming of the U.S. Capitol: Evidence from the Social Media Network Parler
|
2023
|
Johannes Jakubik
Michael Vössing
Nicolas Pröllochs
Dominik Bär
Stefan Feuerriegel
|
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PDF
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Finding Qs: Profiling QAnon Supporters on Parler
|
2023
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Dominik Bär
Nicolas Pröllochs
Stefan Feuerriegel
|
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PDF
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Analyzing Social Media Activities at Bellingcat
|
2023
|
Dominik Bär
Fausto Calderon
Michael D. Lawlor
Sophia Licklederer
Manuel Totzauer
Stefan Feuerriegel
|
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Leveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk driving
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2023
|
Kevin Koch
Martin Maritsch
Eva van Weenen
Stefan Feuerriegel
Matthias Pfäffli
Elgar Fleisch
Wolfgang Weinmann
Felix Wortmann
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New threats to society from free-speech social media platforms
|
2023
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Dominik Bär
Nicolas Pröllochs
Stefan Feuerriegel
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Fair Off-Policy Learning from Observational Data
|
2023
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Dennis Frauen
Valentyn Melnychuk
Stefan Feuerriegel
|
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Addressing distributional shifts in operations management: The case of order fulfillment in customized production
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2023
|
Julian Senoner
Bernhard Kratzwald
Milan Kuzmanovic
Torbjørn H. Netland
Stefan Feuerriegel
|
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HQP: A Human-Annotated Dataset for Detecting Online Propaganda
|
2023
|
Abdurahman Maarouf
Dominik Bär
Dominique Geissler
Stefan Feuerriegel
|
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A comparison of short-term probabilistic forecasts for the incidence of COVID-19 using mechanistic and statistical time series models
|
2023
|
Nicolas Banholzer
Thomas A. Mellan
H. Juliette T. Unwin
Stefan Feuerriegel
Swapnil Mishra
Samir Bhatt
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Sharp Bounds for Generalized Causal Sensitivity Analysis
|
2023
|
Dennis Frauen
Valentyn Melnychuk
Stefan Feuerriegel
|
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Reliable Off-Policy Learning for Dosage Combinations
|
2023
|
Jonas Schweisthal
Dennis Frauen
Valentyn Melnychuk
Stefan Feuerriegel
|
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Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model
|
2023
|
Valentyn Melnychuk
Dennis Frauen
Stefan Feuerriegel
|
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Analyzing the Strategy of Propaganda using Inverse Reinforcement Learning: Evidence from the 2022 Russian Invasion of Ukraine
|
2023
|
Dominique Geissler
Stefan Feuerriegel
|
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DSG: An End-to-End Document Structure Generator
|
2023
|
Johannes Rausch
Gentiana Rashiti
М А Гусев
Ce Zhang
Stefan Feuerriegel
|
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Auditing Targeted Political Advertising on Social Media During the 2021 German Election
|
2023
|
Dominik Bär
Francesco Pierri
Gianmarco De Francisci Morales
Stefan Feuerriegel
|
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In-Context Few-Shot Relation Extraction via Pre-Trained Language Models
|
2023
|
Yılmazcan Özyurt
Stefan Feuerriegel
Ce Zhang
|
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Causal Understanding of Why Users Share Hate Speech on Social Media
|
2023
|
Dominique Geissler
Abdurahman Maarouf
Stefan Feuerriegel
|
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Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation
|
2023
|
Konstantin Heß
Valentyn Melnychuk
Dennis Frauen
Stefan Feuerriegel
|
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Counterfactual Fairness for Predictions using Generative Adversarial Networks
|
2023
|
MA Yu-chen
Dennis Frauen
Valentyn Melnychuk
Stefan Feuerriegel
|
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Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation
|
2023
|
Valentyn Melnychuk
Dennis Frauen
Stefan Feuerriegel
|
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A Neural Framework for Generalized Causal Sensitivity Analysis
|
2023
|
Dennis Frauen
Fergus Imrie
Alicia Curth
Valentyn Melnychuk
Stefan Feuerriegel
Mihaela van der Schaar
|
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Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework
|
2023
|
Maresa Schröder
Dennis Frauen
Stefan Feuerriegel
|
|
+
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Which linguistic cues make people fall for fake news? A comparison of cognitive and affective processing
|
2023
|
Bernhard Lutz
Marc T. P. Adam
Stefan Feuerriegel
Nicolas Pröllochs
Dirk Neumann
|
|
+
PDF
Chat
|
"Is It My Turn?"
|
2022
|
Michaela Benk
Raphael P. Weibel
Stefan Feuerriegel
Andrea Ferrario
|
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PDF
Chat
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The methodologies to assess the effectiveness of non-pharmaceutical interventions during COVID-19: a systematic review
|
2022
|
Nicolas Banholzer
Adrian Lison
Dennis Özcelik
Tanja Stadler
Stefan Feuerriegel
Werner Vach
|
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PDF
Chat
|
Algorithmic fairness in business analytics: Directions for research and practice
|
2022
|
Maria De‐Arteaga
Stefan Feuerriegel
Maytal Saar‐Tsechansky
|
|
+
PDF
Chat
|
Mechanisms of True and False Rumor Sharing in Social Media:
Wisdom-of-Crowds or Herd Behavior?
|
2022
|
Nicolas Pröllochs
Stefan Feuerriegel
|
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Data-driven dynamic treatment planning for chronic diseases
|
2022
|
Christof Naumzik
Stefan Feuerriegel
Anne Mølgaard Nielsen
|
|
+
PDF
Chat
|
Mining Points-of-Interest Data to Predict Urban Inequality: Evidence from Germany and France
|
2022
|
Manuel Ganter
Malte Toetzke
Stefan Feuerriegel
|
|
+
PDF
Chat
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Estimating and explaining cross-country variation in the effectiveness of non-pharmaceutical interventions during COVID-19
|
2022
|
Nicolas Banholzer
Stefan Feuerriegel
Werner Vach
|
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+
PDF
Chat
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Web Mining to Inform Locations of Charging Stations for Electric Vehicles
|
2022
|
Philipp Hummler
Christof Naumzik
Stefan Feuerriegel
|
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+
PDF
Chat
|
Detecting False Rumors from Retweet Dynamics on Social Media
|
2022
|
Christof Naumzik
Stefan Feuerriegel
|
|
+
PDF
Chat
|
The methodologies to assess the effects of non-pharmaceutical interventions during COVID-19: a systematic review
|
2022
|
Nicolas Banholzer
Adrian Lison
Dennis Özcelik
Tanja Stadler
Stefan Feuerriegel
Werner Vach
|
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+
PDF
Chat
|
Estimating the effect of mobility on SARS-CoV-2 transmission during the first and second wave of the COVID-19 epidemic, Switzerland, March to December 2020
|
2022
|
Adrian Lison
Joel Persson
Nicolas Banholzer
Stefan Feuerriegel
|
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Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects
|
2022
|
Tobias Hatt
Jeroen Berrevoets
Alicia Curth
Stefan Feuerriegel
Mihaela van der Schaar
|
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Estimating average causal effects from patient trajectories
|
2022
|
Dennis Frauen
Tobias Hatt
Valentyn Melnychuk
Stefan Feuerriegel
|
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+
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Interpretable Off-Policy Learning via Hyperbox Search
|
2022
|
Daniel Tschernutter
Tobias Hatt
Stefan Feuerriegel
|
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Online Emotions During the Storming of the U.S. Capitol: Evidence from the Social Media Network Parler
|
2022
|
Johannes Jakubik
Michael Vössing
Dominik Bär
Nicolas Pröllochs
Stefan Feuerriegel
|
|
+
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Causal Transformer for Estimating Counterfactual Outcomes
|
2022
|
Valentyn Melnychuk
Dennis Frauen
Stefan Feuerriegel
|
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+
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Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine
|
2022
|
Theresa Blümlein
Joel Persson
Stefan Feuerriegel
|
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+
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Estimating Conditional Average Treatment Effects with Missing Treatment Information
|
2022
|
Milan Kuzmanovic
Tobias Hatt
Stefan Feuerriegel
|
|
+
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Finding Qs: Profiling QAnon Supporters on Parler
|
2022
|
Dominik Bär
Nicolas Pröllochs
Stefan Feuerriegel
|
|
+
|
Data-driven dynamic treatment planning for chronic diseases
|
2022
|
Christof Naumzik
Stefan Feuerriegel
Anne Mølgaard Nielsen
|
|
+
|
Algorithmic Fairness in Business Analytics: Directions for Research and Practice
|
2022
|
Maria De‐Arteaga
Stefan Feuerriegel
Maytal Saar‐Tsechansky
|
|
+
|
Locating disparities in machine learning
|
2022
|
Moritz von Zahn
Oliver Hinz
Stefan Feuerriegel
|
|
+
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Estimating individual treatment effects under unobserved confounding using binary instruments
|
2022
|
Dennis Frauen
Stefan Feuerriegel
|
|
+
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Normalizing Flows for Interventional Density Estimation
|
2022
|
Valentyn Melnychuk
Dennis Frauen
Stefan Feuerriegel
|
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+
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Analyzing Social Media Activities at Bellingcat
|
2022
|
Dominik Bär
Fausto Calderon
Michael Lawlor
Sophia Licklederer
Manuel Totzauer
Stefan Feuerriegel
|
|
+
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Detecting User Exits from Online Behavior: A Duration-Dependent Latent State Model
|
2022
|
Tobias Hatt
Stefan Feuerriegel
|
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+
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QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation
|
2022
|
Zhenrui Yue
Huimin Zeng
Bernhard Kratzwald
Stefan Feuerriegel
Dong Wang
|
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+
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The Virality of Hate Speech on Social Media
|
2022
|
Abdurahman Maarouf
Nicolas Pröllochs
Stefan Feuerriegel
|
|
+
|
Russian propaganda on social media during the 2022 invasion of Ukraine
|
2022
|
Dominique Geissler
Dominik Bär
Nicolas Pröllochs
Stefan Feuerriegel
|
|
+
|
Mechanisms of True and False Rumor Sharing in Social Media: Collective Intelligence or Herd Behavior?
|
2022
|
Nicolas Pröllochs
Stefan Feuerriegel
|
|
+
|
Contrastive Learning for Unsupervised Domain Adaptation of Time Series
|
2022
|
Yılmazcan Özyurt
Stefan Feuerriegel
Ce Zhang
|
|
+
PDF
Chat
|
QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation
|
2022
|
Zhenrui Yue
Huimin Zeng
Bernhard Kratzwald
Stefan Feuerriegel
Dong Wang
|
|
+
PDF
Chat
|
Deconfounding Temporal Autoencoder: Estimating Treatment Effects over
Time Using Noisy Proxies
|
2021
|
Milan Kuzmanovic
Tobias Hatt
Stefan Feuerriegel
|
|
+
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Generalizing Off-Policy Learning under Sample Selection Bias
|
2021
|
Tobias Hatt
Daniel Tschernutter
Stefan Feuerriegel
|
|
+
PDF
Chat
|
Estimating Average Treatment Effects via Orthogonal Regularization
|
2021
|
Tobias Hatt
Stefan Feuerriegel
|
|
+
PDF
Chat
|
A sociotechnical view of algorithmic fairness
|
2021
|
Mateusz Dolata
Stefan Feuerriegel
Gerhard Schwabe
|
|
+
PDF
Chat
|
Exploring the Effect of Visual Cues on Eye Gaze During AR-Guided Picking and Assembly Tasks
|
2021
|
Arne Seeliger
Gerrit Merz
Christian Holz
Stefan Feuerriegel
|
|
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A Sociotechnical View of Algorithmic Fairness
|
2021
|
Mateusz Dolata
Stefan Feuerriegel
Gerhard Schwabe
|
|
+
PDF
Chat
|
AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units
|
2021
|
Yılmazcan Özyurt
Mathias Kraus
Tobias Hatt
Stefan Feuerriegel
|
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+
PDF
Chat
|
Predicting COVID-19 Spread from Large-Scale Mobility Data
|
2021
|
Amray Schwabe
Joel Persson
Stefan Feuerriegel
|
|
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Monitoring the COVID-19 epidemic with nationwide telecommunication data
|
2021
|
Joel Persson
Jurriaan F. Parie
Stefan Feuerriegel
|
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+
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Artificial intelligence across company borders.
|
2021
|
Olga Fink
Torbjørn H. Netland
Stefan Feuerriegel
|
|
+
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Estimating the effects of non-pharmaceutical interventions on the number of new infections with COVID-19 during the first epidemic wave
|
2021
|
Nicolas Banholzer
Eva van Weenen
Adrian Lison
Alberto Cenedese
Arne Seeliger
Bernhard Kratzwald
Daniel Tschernutter
Joan Puig Salles
Pierluigi Bottrighi
Sonja Lehtinen
|
|
+
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Predicting COVID-19 Spread from Large-Scale Mobility Data
|
2021
|
Amray Schwabe
Joel Persson
Stefan Feuerriegel
|
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+
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Estimating Treatment Effects via Orthogonal Regularization
|
2021
|
Tobias Hatt
Stefan Feuerriegel
|
|
+
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Estimating the effect of mobility on SARS-CoV-2 transmission during the first and second wave of the COVID-19 epidemic in Switzerland: a population-based study
|
2021
|
Adrian Lison
Joel Persson
Nicolas Banholzer
Stefan Feuerriegel
|
|
+
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Sequential Deconfounding for Causal Inference with Unobserved Confounders.
|
2021
|
Tobias Hatt
Stefan Feuerriegel
|
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+
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Modeling longitudinal dynamics of comorbidities
|
2021
|
Basil Maag
Stefan Feuerriegel
Mathias Kraus
Maytal Saar‐Tsechansky
Thomas Züger
|
|
+
|
Directed particle swarm optimization with Gaussian-process-based function forecasting
|
2021
|
Johannes Jakubik
Adrian Binding
Stefan Feuerriegel
|
|
+
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Directed particle swarm optimization with Gaussian-process-based function forecasting
|
2021
|
Johannes Jakubik
Adrian Binding
Stefan Feuerriegel
|
|
+
|
Estimating Average Treatment Effects via Orthogonal Regularization.
|
2021
|
Tobias Hatt
Stefan Feuerriegel
|
|
+
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Estimating the effects of non-pharmaceutical interventions on the number of new infections with COVID-19 during the first epidemic wave
|
2021
|
Nicolas Banholzer
Eva van Weenen
Adrian Lison
Alberto Cenedese
Arne Seeliger
Bernhard Kratzwald
Daniel Tschernutter
Joan Puig Salles
Pierluigi Bottrighi
Sonja Lehtinen
|
|
+
|
Monitoring the COVID-19 epidemic with nationwide telecommunication data
|
2021
|
Joel Persson
Jurriaan F. Parie
Stefan Feuerriegel
|
|
+
PDF
Chat
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Contrastive Domain Adaptation for Question Answering using Limited Text Corpora
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2021
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Zhenrui Yue
Bernhard Kratzwald
Stefan Feuerriegel
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Contrastive Domain Adaptation for Question Answering using Limited Text Corpora
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2021
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Zhenrui Yue
Bernhard Kratzwald
Stefan Feuerriegel
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Generalizing Off-Policy Learning under Sample Selection Bias
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2021
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Tobias Hatt
Daniel Tschernutter
Stefan Feuerriegel
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A Sociotechnical View of Algorithmic Fairness
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2021
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Mateusz Dolata
Stefan Feuerriegel
Gerhard Schwabe
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Artificial intelligence across company borders
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2021
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Olga Fink
Torbjørn H. Netland
Stefan Feuerriegel
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Predicting COVID-19 Spread from Large-Scale Mobility Data
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2021
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Amray Schwabe
Joel Persson
Stefan Feuerriegel
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Sequential Deconfounding for Causal Inference with Unobserved Confounders
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2021
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Tobias Hatt
Stefan Feuerriegel
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AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units
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2021
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Yılmazcan Özyurt
Mathias Kraus
Tobias Hatt
Stefan Feuerriegel
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Directed particle swarm optimization with Gaussian-process-based function forecasting
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2021
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Johannes Jakubik
Adrian Binding
Stefan Feuerriegel
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Estimating Average Treatment Effects via Orthogonal Regularization
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2021
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Tobias Hatt
Stefan Feuerriegel
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Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies
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2021
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Milan Kuzmanovic
Tobias Hatt
Stefan Feuerriegel
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PDF
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Estimating Risk-Adjusted Hospital Performance
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2020
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Eva van Weenen
Stefan Feuerriegel
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PDF
Chat
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Forecasting electricity prices with machine learning: predictor sensitivity
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2020
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Christof Naumzik
Stefan Feuerriegel
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PDF
Chat
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Leveraging Mobility Flows from Location Technology Platforms to Test Crime Pattern Theory in Large Cities
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2020
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Cristina Kadar
Stefan Feuerriegel
Anastasios Noulas
Cecilia Mascolo
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Impact of non-pharmaceutical interventions on documented cases of COVID-19
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2020
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Nicolas Banholzer
Eva van Weenen
Bernhard Kratzwald
Arne Seeliger
Daniel Tschernutter
Pierluigi Bottrighi
Alberto Cenedese
Joan Puig Salles
Werner Vach
Stefan Feuerriegel
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Practical Annotation Strategies for Question Answering Datasets.
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2020
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Bernhard Kratzwald
Xiang Yue
Huan Sun
Stefan Feuerriegel
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Learning a Cost-Effective Annotation Policy for Question Answering
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2020
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Bernhard Kratzwald
Stefan Feuerriegel
Huan Sun
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Learning a Cost-Effective Annotation Policy for Question Answering
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2020
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Bernhard Kratzwald
Stefan Feuerriegel
Huan Sun
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PDF
Chat
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Forecasting Electricity Prices With Machine Learning: Predictor Sensitivity
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2020
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Christof Naumzik
Stefan Feuerriegel
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+
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Estimating Risk-Adjusted Hospital Performance
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2020
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Eva van Weenen
Stefan Feuerriegel
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+
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Forecasting electricity prices with machine learning: Predictor sensitivity
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2020
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Christof Naumzik
Stefan Feuerriegel
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+
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Practical Annotation Strategies for Question Answering Datasets
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2020
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Bernhard Kratzwald
Xiang Yue
Huan Sun
Stefan Feuerriegel
|
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+
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Leveraging Mobility Flows from Location Technology Platforms to Test Crime Pattern Theory in Large Cities
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2020
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Cristina Kadar
Stefan Feuerriegel
Anastasios Noulas
Cecilia Mascolo
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+
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Deep learning in business analytics and operations research: Models, applications and managerial implications
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2019
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Mathias Kraus
Stefan Feuerriegel
Asil Oztekin
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PDF
Chat
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Improving heart rate variability measurements from consumer smartwatches with machine learning
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2019
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Martin Maritsch
Caterina Bérubé
Mathias Kraus
Vera Lehmann
Thomas Züger
Stefan Feuerriegel
Tobias Kowatsch
Felix Wortmann
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PDF
Chat
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Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching
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2019
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Mathias Kraus
Stefan Feuerriegel
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Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences
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2019
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Mathias Kraus
Stefan Feuerriegel
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PDF
Chat
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Public decision support for low population density areas: An imbalance-aware hyper-ensemble for spatio-temporal crime prediction
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2019
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Cristina Kadar
Rudolf Maculan
Stefan Feuerriegel
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Public decision support for low population density areas: An imbalance-aware hyper-ensemble for spatio-temporal crime prediction
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2019
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Cristina Kadar
Rudolf Maculan
Stefan Feuerriegel
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Sample Complexity Bounds for Recurrent Neural Networks with Application to Combinatorial Graph Problems.
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2019
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Nil-Jana Akpinar
Bernhard Kratzwald
Stefan Feuerriegel
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RankQA: Neural Question Answering with Answer Re-Ranking
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2019
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Bernhard Kratzwald
Anna Eigenmann
Stefan Feuerriegel
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DocParser: Hierarchical Structure Parsing of Document Renderings
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2019
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Johannes Rausch
Octavio Martínez
Fabian Bissig
Ce Zhang
Stefan Feuerriegel
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RankQA: Neural Question Answering with Answer Re-Ranking
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2019
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Bernhard Kratzwald
Anna Eigenmann
Stefan Feuerriegel
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+
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Public decision support for low population density areas: An imbalance-aware hyper-ensemble for spatio-temporal crime prediction
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2019
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Cristina Kadar
Rudolf Maculan
Stefan Feuerriegel
|
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+
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Sample Complexity Bounds for Recurrent Neural Networks with Application to Combinatorial Graph Problems
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2019
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Nil-Jana Akpinar
Bernhard Kratzwald
Stefan Feuerriegel
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PDF
Chat
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Putting Question-Answering Systems into Practice
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2018
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Bernhard Kratzwald
Stefan Feuerriegel
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PDF
Chat
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Statistical inferences for polarity identification in natural language
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2018
|
Nicolas Pröllochs
Stefan Feuerriegel
Dirk Neumann
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PDF
Chat
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Investor Reaction to Financial Disclosures across Topics: An Application of Latent Dirichlet Allocation*
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2018
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Stefan Feuerriegel
Nicolas Pröllochs
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PDF
Chat
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Sentiment analysis based on rhetorical structure theory:Learning deep neural networks from discourse trees
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2018
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Mathias Kraus
Stefan Feuerriegel
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PDF
Chat
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Deep learning for affective computing: Text-based emotion recognition in decision support
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2018
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Bernhard Kratzwald
Suzana Ilić
Mathias Kraus
Stefan Feuerriegel
Helmut Prendinger
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Adaptive Document Retrieval for Deep Question Answering.
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2018
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Bernhard Kratzwald
Stefan Feuerriegel
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PDF
Chat
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Long-term stock index forecasting based on text mining of regulatory disclosures
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2018
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Stefan Feuerriegel
Julius Gordon
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PDF
Chat
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News-based forecasts of macroeconomic indicators: A semantic path model for interpretable predictions
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2018
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Stefan Feuerriegel
Julius Gordon
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+
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Long-term stock index forecasting based on text mining of regulatory disclosures
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2018
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Stefan Feuerriegel
Julius Gordon
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+
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Investor Reaction to Financial Disclosures Across Topics: An Application of Latent Dirichlet Allocation
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2018
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Stefan Feuerriegel
Nicolas Pröllochs
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+
PDF
Chat
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Business analytics for strategic management: Identifying and assessing corporate challenges via topic modeling
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2018
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Nicolas Pröllochs
Stefan Feuerriegel
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PDF
Chat
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Putting Question-Answering Systems into Practice: Transfer Learning for Efficient Domain Customization
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2018
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Bernhard Kratzwald
Stefan Feuerriegel
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Decision support with text-based emotion recognition: Deep learning for affective computing
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2018
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Bernhard Kratzwald
Suzana Ilić
Mathias Kraus
Stefan Feuerriegel
Helmut Prendinger
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+
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News-based forecasts of macroeconomic indicators: A semantic path model for interpretable predictions
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2018
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Stefan Feuerriegel
Julius Gordon
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+
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Reinforcement Learning in R
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2018
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Nicolas Pröllochs
Stefan Feuerriegel
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+
PDF
Chat
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Adaptive Document Retrieval for Deep Question Answering
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2018
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Bernhard Kratzwald
Stefan Feuerriegel
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+
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Adaptive Document Retrieval for Deep Question Answering
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2018
|
Bernhard Kratzwald
Stefan Feuerriegel
|
|
+
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Investor Reaction to Financial Disclosures Across Topics: An Application of Latent Dirichlet Allocation
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2018
|
Stefan Feuerriegel
Nicolas Pröllochs
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|
+
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News-based forecasts of macroeconomic indicators: A semantic path model for interpretable predictions
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2018
|
Stefan Feuerriegel
Julius Gordon
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+
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Deep learning in business analytics and operations research: Models, applications and managerial implications
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2018
|
Mathias Kraus
Stefan Feuerriegel
Asil Oztekin
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+
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Long-term stock index forecasting based on text mining of regulatory disclosures
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2018
|
Stefan Feuerriegel
Julius Gordon
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|
+
PDF
Chat
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Decision support from financial disclosures with deep neural networks and transfer learning
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2017
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Mathias Kraus
Stefan Feuerriegel
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Language That Matters: Statistical Inferences for Polarity Identification in Natural Language.
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2017
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Nicolas Pröllochs
Stefan Feuerriegel
Dirk Neumann
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PDF
Chat
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Understanding Negations in Information Processing: Learning from Replicating Human Behavior
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2017
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Nicolas Pröllochs
Stefan Feuerriegel
Dirk Neumann
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Understanding Negations in Information Processing: Learning from Replicating Human Behavior
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2017
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Nicolas Pröllochs
Stefan Feuerriegel
Dirk Neumann
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+
PDF
Chat
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News-based trading strategies
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2016
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Stefan Feuerriegel
Helmut Prendinger
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+
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Improving Decision Analytics with Deep Learning: The Case of Financial Disclosures
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2015
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Stefan Feuerriegel
Ralph Fehrer
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PDF
Chat
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News-Based Trading Strategies
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2015
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Stefan Feuerriegel
Helmut Prendinger
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+
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Improving Decision Analytics with Deep Learning: The Case of Financial Disclosures
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2015
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Stefan Feuerriegel
Ralph Fehrer
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PDF
Chat
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Synchronization-Reducing Variants of the Biconjugate Gradient and the Quasi-Minimal Residual Methods
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2013
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Stefan Feuerriegel
H. Martin Bücker
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Parallel sensitivity analysis for efficient large-scale dynamic optimization
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2010
|
Arndt Hartwich
Klaus Stockmann
Christian Terboven
Stefan Feuerriegel
Wolfgang Marquardt
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