| Using shared sell-through data to forecast wholesaler demand in multi-echelon supply chains J Van Belle, T Guns, W Verbeke European Journal of Operational Research 288 (2), 466-479, 2021 | 38 | 2021 |
| Learning to rank for uplift modeling F Devriendt, J Van Belle, T Guns, W Verbeke IEEE Transactions on Knowledge and Data Engineering 34 (10), 4888-4904, 2020 | 38 | 2020 |
| To do or not to do? Cost-sensitive causal classification with individual treatment effect estimates W Verbeke, D Olaya, MA Guerry, J Van Belle European Journal of Operational Research 305 (2), 838-852, 2023 | 27* | 2023 |
| Closed‐form approximations for spread options in Lévy markets J Van Belle, S Vanduffel, J Yao Applied Stochastic Models in Business and Industry 35 (3), 732-746, 2019 | 11 | 2019 |
| Improving forecast stability using deep learning J Van Belle, R Crevits, W Verbeke International Journal of Forecasting 39 (3), 1333-1350, 2023 | 4 | 2023 |
| Forecasting business process models J Van Belle, J De Smedt, A Polyvyanyy, J De Weerdt ORBEL 38, Date: 2024/02/08-2024/02/09, Location: Antwerp, 2024 | | 2024 |
| To do or not to do? Cost-sensitive causal classification with conditional average treatment effect estimates W Verbeke, J Van Belle 37th Annual Conference of the Belgian Operatonal Research Society, ORBEL 37 …, 2023 | | 2023 |
| Using adaptive loss balancing to boost improvements in forecast stability D Caljon, J Vercauteren, S De Vos, J Van Belle ORBEL 37, Date: 2023/05/25-2023/05/26, Location: Liège, 2023 | | 2023 |
| Reducing Forecast Instability with Global Deep Learning Models. J Van Belle, R Crevits, W Verbeke Foresight: The International Journal of Applied Forecasting, 2023 | | 2023 |
| Probabilistic forecasting with modified N-BEATS networks J Van Belle, R Crevits, W Verbeke ORBEL36, Location: Ghent, Belgium, 2022 | | 2022 |
| Valuing lead time in a dynamic order-up-to inventory system J Van Belle, R Crevits, T Guns, W Verbeke Pre-Print Friday, 2022 | | 2022 |
| Essays on Demand Forecasting for Optimizing Operational Supply Chain Planning. J Van Belle | | 2021 |
| Valuing lead time in a dynamic order-up-to inventory system W Verbeke, J Van Belle, R Crevits, T Guns International Symposium on Forecasting, Date: 2020/10/26-2020/10/28 …, 2020 | | 2020 |
| Valuing lead time in a period-review multi-period order-up-to inventory system W Verbeke, J Van Belle, T Guns 34th annual conference of the Belgian Operational Research Society, Date …, 2020 | | 2020 |
| Valuing lead time in a period-review multi-period order-up-to inventory system JE Van Belle, T Guns, W Verbeke 34th annual conference of the Belgian Operational Research Society, 51-52, 2020 | | 2020 |
| Demand Forecasting Using Sell-through Data JE Van Belle, T Guns, W Verbeke International Symposium on Forecasting, 7-7, 2019 | | 2019 |
| A Step Towards Demand Sensing: Using Open Orders in Demand Forecasting JE Van Belle, T Guns, W Verbeke International Symposium on Forecasting, 67-68, 2018 | | 2018 |
| A Step Towards Demand Sensing: Employing EDI 852 Product Activity Data in Demand Forecasting JE Van Belle, W Verbeke 37th International Symposium on Forecasting, 4, 2017 | | 2017 |
| Oefeningen over Statistiek II voor de Bedrijfseconomische Wetenschappen M Despontin, JE Van Belle Vrije Universiteit Brussel, Dienst Uitgaven, 2016 | | 2016 |
Wouter VerbekeProfessor of Decision Science, KU Leuven, Faculty of Economics and BusinessVerified email at kuleuven.be
