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Stefan Feuerriegel
Stefan Feuerriegel
Professor, LMU Munich
Bestätigte E-Mail-Adresse bei lmu.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Generative AI
S Feuerriegel, J Hartmann, C Janiesch, P Zschech
Business & Information Systems Engineering 66, 111-126, 2023
4242023
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
3962020
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
3782018
Decision support from financial disclosures with deep neural networks and transfer learning
M Kraus, S Feuerriegel
Decision Support Systems 104, 38-48, 2017
3762017
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
3572014
Mitigating Bias in Machine Learning for Medicine
KN Vokinger, S Feuerriegel, A Kesselheim
Communications Medicine, 2021
2102021
Using explainable artificial intelligence to improve process quality: Evidence from semiconductor manufacturing
J Senoner, T Netland, S Feuerriegel
Management Science, 2021
1832021
Negativity drives online news consumption
CE Robertson, N Pröllochs, K Schwarzenegger, P Parnamets, ...
Nature Human Behaviour, 2023
1712023
Fair AI
F Stefan, D Mateusz, S Gerhard
Business & Information Systems Engineering 62 (4), 379-384, 2020
167*2020
A sociotechnical view of algorithmic fairness
M Dolata, S Feuerriegel, G Schwabe
Information Systems Journal 32 (4), 754-818, 2022
1562022
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
1392015
Measuring the financial impact of demand response for electricity retailers
S Feuerriegel, D Neumann
Energy Policy 65, 359-368, 2014
1392014
Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences
M Kraus, S Feuerriegel
Decision Support Systems, 2019
1342019
Business analytics for strategic management: Identifying and assessing corporate challenges via topic modeling
N Pröllochs, S Feuerriegel
Information & Management 57 (1), 103070, 2020
1172020
News-based trading strategies
S Feuerriegel, H Prendinger
Decision Support Systems 90, 65-74, 2016
1172016
Long-term stock index forecasting based on text mining of regulatory disclosures
S Feuerriegel, J Gordon
Decision Support Systems, 2018
1152018
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
1072021
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
1072020
Russian propaganda on social media during the 2022 invasion of Ukraine
D Geissler, D Bär, N Pröllochs, S Feuerriegel
EPJ Data Science 12 (1), 35, 2023
982023
Causal Transformer for Estimating Counterfactual Outcomes
V Melnychuk, D Frauen, S Feuerriegel
ICML, 2022
972022
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