| The value of vehicle telematics data in insurance risk selection processes P Baecke, L Bocca Decision Support Systems 98, 69-79, 2017 | 176 | 2017 |
| Bluetooth tracking of humans in an indoor environment: An application to shopping mall visits D Oosterlinck, DF Benoit, P Baecke, N Van de Weghe Applied geography 78, 55-65, 2017 | 117 | 2017 |
| Identifying influencers in a social network: The value of real referral data I Roelens, P Baecke, DF Benoit Decision Support Systems 91, 25-36, 2016 | 108 | 2016 |
| Mind the gap–Assessing maturity of demand planning, a cornerstone of S&OP A Vereecke, K Vanderheyden, P Baecke, T Van Steendam International Journal of Operations & Production Management 38 (8), 1618-1639, 2018 | 58 | 2018 |
| Investigating the added value of integrating human judgement into statistical demand forecasting systems P Baecke, S De Baets, K Vanderheyden International Journal of Production Economics 191, 85-96, 2017 | 56 | 2017 |
| Data augmentation by predicting spending pleasure using commercially available external data P Baecke, D Van den Poel Journal of intelligent information systems 36, 367-383, 2011 | 48 | 2011 |
| Improving purchasing behavior predictions by data augmentation with situational variables P Baecke, D Van den Poel International Journal of Information Technology & Decision Making 9 (06 …, 2010 | 35 | 2010 |
| Judgmental forecast adjustments over different time horizons M Van den Broeke, S De Baets, A Vereecke, P Baecke, K Vanderheyden Omega 87, 34-45, 2019 | 30 | 2019 |
| From one-class to two-class classification by incorporating expert knowledge: Novelty detection in human behaviour D Oosterlinck, DF Benoit, P Baecke European Journal of Operational Research 282 (3), 1011-1024, 2020 | 20 | 2020 |
| Including spatial interdependence in customer acquisition models: a cross-category comparison P Baecke, D Van den Poel Expert Systems with Applications 39 (15), 12105-12113, 2012 | 17 | 2012 |
| Improving customer acquisition models by incorporating spatial autocorrelation at different levels of granularity P Baecke, D Van den Poel Journal of Intelligent Information Systems 41, 73-90, 2013 | 9 | 2013 |
| Home location prediction with telecom data: Benchmarking heuristics with a predictive modelling approach. D Oosterlinck, P Baecke, DF Benoit Expert Systems with Applications 170, 114507, 2021 | 5 | 2021 |
| What makes consumers willing to share their data in addressable tv advertising?: The influence of personal and situational factors on consumer willingness to disclose information L De Schaepdrijver, P Baecke, K Tackx Journal of Advertising Research 62 (2), 131-147, 2022 | 3 | 2022 |
| Leveraging fine-grained mobile data for churn detection through Essence Random Forest C Colot, P Baecke, I Linden Journal of Big Data 8 (1), 63, 2021 | 3 | 2021 |
| A survey on mobile data uses C Colot, I Linden, P Baecke International Journal of Decision Support System Technology (IJDSST) 8 (2 …, 2016 | 3 | 2016 |
| Including the salesperson effect in purchasing behavior models using PROC GLIMMIX P Baecke, D Van den Poel SAS Forum Statistics and Data Analysis, 2012 | 3 | 2012 |
| Toward decision support for telecom external data monetization: A study of the value of network-and personality-based metrics for third-party businesses C Colot, P Baecke, I Linden Big Data 10 (2), 115-137, 2022 | 2 | 2022 |
| Alternatives for Telco Data Network: the value of spatial and referral networks for churn detection C Colot, P Baecke, I Linden Information Systems Management 38 (3), 218-236, 2021 | 2 | 2021 |
| How customer referral programs harness the power of your customers' friendships I Roelens, P Baecke, DF Benoit, C Van den Bulte | 1 | 2017 |
| The value of concept-level emotion recognition in call centers T De Cleen, P Baecke, F Goedertier | | 2022 |
