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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
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
2802014
Decision support from financial disclosures with deep neural networks and transfer learning
M Kraus, S Feuerriegel
Decision Support Systems 104, 38-48, 2017
2572017
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
212*2018
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
2112020
Measuring the financial impact of demand response for electricity retailers
S Feuerriegel, D Neumann
Energy Policy 65, 359-368, 2014
1202014
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
1082015
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
862020
News-based trading strategies
S Feuerriegel, H Prendinger
Decision Support Systems 90, 65-74, 2016
842016
Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences
M Kraus, S Feuerriegel
Decision Support Systems, 2019
832019
Business analytics for strategic management: Identifying and assessing corporate challenges via topic modeling
N Pröllochs, S Feuerriegel
Information & Management 57 (1), 103070, 2020
752020
Long-term stock index forecasting based on text mining of regulatory disclosures
S Feuerriegel, J Gordon
Decision Support Systems, 2018
732018
Analysis of how underlying topics in financial news affect stock prices using latent dirichlet allocation
S Feuerriegel, A Ratku, D Neumann
2016 49th Hawaii International Conference on System Sciences (HICSS), 1072-1081, 2016
622016
Fair AI
F Stefan, D Mateusz, S Gerhard
Business & Information Systems Engineering 62 (4), 379-384, 2020
60*2020
Integration scenarios of Demand Response into electricity markets: Load shifting, financial savings and policy implications
S Feuerriegel, D Neumann
Energy Policy 96, 231-240, 2016
582016
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
562019
Generating Domain-Specific Dictionaries using Bayesian Learning.
N Pröllochs, S Feuerriegel, D Neumann
ECIS, 2015
562015
Adaptive Document Retrieval for Deep Question Answering
B Kratzwald, S Feuerriegel
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018
552018
Negation scope detection in sentiment analysis: Decision support for news-driven trading
N Pröllochs, S Feuerriegel, D Neumann
Decision Support Systems 88, 67-75, 2016
552016
Contract durations in the electricity market: Causal impact of 15min trading on the EPEX SPOT market
J Märkle-Huß, S Feuerriegel, D Neumann
Energy Economics 69, 367-378, 2018
542018
Enhancing sentiment analysis of financial news by detecting negation scopes
N Pröllochs, S Feuerriegel, D Neumann
2015 48th Hawaii International Conference on System Sciences, 959-968, 2015
542015
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