Stefan Feuerriegel
Cited by
Cited by
Deep learning in business analytics and operations research: Models, applications and managerial implications
M Kraus, S Feuerriegel, A Oztekin
European Journal of Operational Research 281 (3), 628-641, 2020
Deep learning for affective computing: Text-based emotion recognition in decision support
B Kratzwald, S Ilić, M Kraus, S Feuerriegel, H Prendinger
Decision Support Systems 115, 24-35, 2018
Decision support from financial disclosures with deep neural networks and transfer learning
M Kraus, S Feuerriegel
Decision Support Systems 104, 38-48, 2017
Emergency response in natural disaster management: Allocation and scheduling of rescue units
F Wex, G Schryen, S Feuerriegel, D Neumann
European Journal of Operational Research 235 (3), 697-708, 2014
Mitigating Bias in Machine Learning for Medicine
KN Vokinger, S Feuerriegel, A Kesselheim
Communications Medicine, 2021
Fair AI
F Stefan, D Mateusz, S Gerhard
Business & Information Systems Engineering 62 (4), 379-384, 2020
Measuring the financial impact of demand response for electricity retailers
S Feuerriegel, D Neumann
Energy Policy 65, 359-368, 2014
Putting Big Data analytics to work: Feature selection for forecasting electricity prices using the LASSO and random forests
N Ludwig, S Feuerriegel, D Neumann
Journal of Decision Systems 24 (1), 19-36, 2015
Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences
M Kraus, S Feuerriegel
Decision Support Systems, 2019
Using explainable artificial intelligence to improve process quality: Evidence from semiconductor manufacturing
J Senoner, T Netland, S Feuerriegel
Management Science, 2021
Long-term stock index forecasting based on text mining of regulatory disclosures
S Feuerriegel, J Gordon
Decision Support Systems, 2018
Negativity drives online news consumption
CE Robertson, N Pröllochs, K Schwarzenegger, P Parnamets, ...
Nature Human Behaviour, 2023
News-based trading strategies
S Feuerriegel, H Prendinger
Decision Support Systems 90, 65-74, 2016
A sociotechnical view of algorithmic fairness
M Dolata, S Feuerriegel, G Schwabe
Information Systems Journal 32 (4), 754-818, 2022
The estimated impact of non-pharmaceutical interventions on documented cases of COVID-19: A cross-country analysis
N Banholzer, E van Weenen, B Kratzwald, A Seeliger, D Tschernutter, ...
medRxiv, 2020
Business analytics for strategic management: Identifying and assessing corporate challenges via topic modeling
N Pröllochs, S Feuerriegel
Information & Management 57 (1), 103070, 2020
Estimating the effects of non-pharmaceutical interventions on the number of new infections with COVID-19 during the first epidemic wave
N Banholzer, E van Weenen, A Lison, A Cenedese, A Seeliger, ...
PLOS ONE, 2021
Generative AI
S Feuerriegel, J Hartmann, C Janiesch, P Zschech
Sentiment analysis based on rhetorical structure theory: Learning deep neural networks from discourse trees
M Kraus, S Feuerriegel
Expert Systems with Applications 118, 65-79, 2019
Public decision support for low population density areas: An imbalance-aware hyper-ensemble for spatio-temporal crime prediction
C Kadar, R Maculan, S Feuerriegel
Decision Support Systems 119, 107-117, 2019
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