| A hybrid seasonal autoregressive integrated moving average and quantile regression for daily food sales forecasting NS Arunraj, D Ahrens International Journal of Production Economics 170, 321-335, 2015 | 245 | 2015 |
| Application of SARIMAX model to forecast daily sales in food retail industry NS Arunraj, D Ahrens, M Fernandes International Journal of Operations Research and Information Systems (IJORIS …, 2016 | 134 | 2016 |
| Estimation of non-catastrophic weather impacts for retail industry NS Arunraj, D Ahrens International Journal of Retail & Distribution Management 44 (7), 731-753, 2016 | 48 | 2016 |
| Enhanced predictive models for purchasing in the fashion field by using kernel machine regression equipped with ordinal logistic regression AF Tehrani, D Ahrens Journal of Retailing and Consumer Services 32, 131-138, 2016 | 33 | 2016 |
| Improved forecasting and purchasing of fashion products based on the use of big data techniques AF Tehrani, D Ahrens Supply Management Research: Aktuelle Forschungsergebnisse 2015, 293-312, 2016 | 28 | 2016 |
| Dynamic lead-time forecasting using machine learning in a make-to-order supply chain M Alnahhal, D Ahrens, B Salah Applied Sciences 11 (21), 10105, 2021 | 21 | 2021 |
| Optimal selection of third-party logistics providers using integer programming: A case study of a furniture company storage and distribution M Alnahhal, MI Tabash, D Ahrens Annals of Operations Research 302 (1), 1-22, 2021 | 16 | 2021 |
| Modified sequential k‐means clustering by utilizing response: A case study for fashion products A Fallah Tehrani, D Ahrens Expert Systems 34 (6), e12226, 2017 | 16 | 2017 |
| Modeling freight consolidation in a make-to-order supply chain: A simulation approach M Alnahhal, D Ahrens, B Salah Processes 9 (9), 1554, 2021 | 9 | 2021 |
| Human presence detection by monitoring the indoor CO2 concentration S Wilhelm, D Jakob, D Ahrens Proceedings of Mensch und Computer 2020, 199-203, 2020 | 9 | 2020 |
| Supervised regression clustering: A case study for fashion products AF Tehrani, D Ahrens International Journal of Business Analytics (IJBAN) 3 (4), 21-40, 2016 | 9 | 2016 |
| Time series sales forecasting to reduce food waste in retail industry NS Arunraj, D Ahrens, M Fernandes, M Müller The 34th International Symposium on Forecasting, 2014 | 9 | 2014 |
| A roadmap to becoming a smart village: Experiences from living labs in rural Bavaria LM Hanninger, J Laxa, D Ahrens JeDEM-eJournal of eDemocracy and Open Government 13 (2), 89-109, 2021 | 8 | 2021 |
| GeLaP: German labeled dataset for power consumption S Wilhelm, D Jakob, J Kasbauer, D Ahrens Proceedings of Sixth International Congress on Information and Communication …, 2022 | 7 | 2022 |
| Modeling label dependence for multi-label classification using the Choquistic regression AF Tehrani, D Ahrens Pattern Recognition Letters 92, 75-80, 2017 | 7 | 2017 |
| Enhanced predictive models for purchasing in the fashion field by applying regression trees equipped with ordinal logistic regression A Fallah Tehrani, D Ahrens Artificial intelligence for fashion industry in the big data era, 27-45, 2018 | 6 | 2018 |
| A quantitative study on awareness, usage and reservations of voice control interfaces by elderly people D Jakob, S Wilhelm, A Gerl, D Ahrens International Conference on Human-Computer Interaction, 237-257, 2021 | 5 | 2021 |
| Organizational, technical, ethical and legal requirements of capturing household electricity data for use as an AAL system S Wilhelm, D Jakob, J Kasbauer, M Dietmeier, A Gerl, B Elser, D Ahrens Proceedings of Fifth International Congress on Information and Communication …, 2021 | 5 | 2021 |
| Optimizing inventory replenishment for seasonal demand with discrete delivery times M Alnahhal, D Ahrens, B Salah Applied Sciences 11 (23), 11210, 2021 | 4 | 2021 |
| Rural areas on their way to a smart village-experiences from living labs in Bavaria LM Hanninger, J Laxa, D Ahrens | 3 | 2020 |