| Generative AI S Feuerriegel, J Hartmann, C Janiesch, P Zschech Business & Information Systems Engineering 66, 111-126, 2023 | 588 | 2023 |
| 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 | 421 | 2020 |
| Decision support from financial disclosures with deep neural networks and transfer learning M Kraus, S Feuerriegel Decision Support Systems 104, 38-48, 2017 | 392 | 2017 |
| 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 | 390 | 2018 |
| 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 | 361 | 2014 |
| Mitigating Bias in Machine Learning for Medicine KN Vokinger, S Feuerriegel, A Kesselheim Communications Medicine, 2021 | 225 | 2021 |
| Using explainable artificial intelligence to improve process quality: Evidence from semiconductor manufacturing J Senoner, T Netland, S Feuerriegel Management Science, 2021 | 203 | 2021 |
| Negativity drives online news consumption CE Robertson, N Pröllochs, K Schwarzenegger, P Parnamets, ... Nature Human Behaviour, 2023 | 198 | 2023 |
| Fair AI F Stefan, D Mateusz, S Gerhard Business & Information Systems Engineering 62 (4), 379-384, 2020 | 187* | 2020 |
| A sociotechnical view of algorithmic fairness M Dolata, S Feuerriegel, G Schwabe Information Systems Journal 32 (4), 754-818, 2022 | 172 | 2022 |
| Measuring the financial impact of demand response for electricity retailers S Feuerriegel, D Neumann Energy Policy 65, 359-368, 2014 | 141 | 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 | 139 | 2015 |
| Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences M Kraus, S Feuerriegel Decision Support Systems, 2019 | 138 | 2019 |
| Business analytics for strategic management: Identifying and assessing corporate challenges via topic modeling N Pröllochs, S Feuerriegel Information & Management 57 (1), 103070, 2020 | 122 | 2020 |
| News-based trading strategies S Feuerriegel, H Prendinger Decision Support Systems 90, 65-74, 2016 | 119 | 2016 |
| Long-term stock index forecasting based on text mining of regulatory disclosures S Feuerriegel, J Gordon Decision Support Systems, 2018 | 118 | 2018 |
| 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 | 115 | 2023 |
| 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 | 111 | 2021 |
| Addressing climate change with behavioral science: A global intervention tournament in 63 countries M Vlasceanu, KC Doell, JB Bak-Coleman, B Todorova, ... Science Advances 10 (6), eadj5778, 2024 | 109 | 2024 |
| 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 | 108 | 2020 |
Dirk NeumannAlbert-Ludwigs-Universität Freiburgis.uni-freiburg.de의 이메일 확인됨