| Bayesian adaptive Lasso quantile regression R Alhamzawi, K Yu, DF Benoit Statistical Modelling 12 (3), 279-297, 2012 | 205 | 2012 |
| Improved marketing decision making in a customer churn prediction context using generalized additive models K Coussement, DF Benoit, D Van den Poel Expert systems with Applications 37 (3), 2132-2143, 2010 | 166 | 2010 |
| Benefits of quantile regression for the analysis of customer lifetime value in a contractual setting: An application in financial services DF Benoit, D Van den Poel Expert Systems with Applications 36 (7), 10475-10484, 2009 | 165 | 2009 |
| Binary quantile regression: a Bayesian approach based on the asymmetric Laplace distribution DF Benoit, D Van den Poel Journal of Applied Econometrics 27 (7), 1174-1188, 2012 | 157 | 2012 |
| Predicting student dropout in subscription-based online learning environments: The beneficial impact of the logit leaf model K Coussement, M Phan, A De Caigny, DF Benoit, A Raes Decision Support Systems 135, 113325, 2020 | 150 | 2020 |
| 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 | 128 | 2017 |
| bayesQR: A Bayesian approach to quantile regression DF Benoit, D Van den Poel Journal of Statistical Software 76, 1-32, 2017 | 124 | 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 | 115 | 2016 |
| Promoting metacognitive regulation through collaborative problem solving on the web: When scripting does not work A Raes, T Schellens, B De Wever, DF Benoit Computers in Human Behavior 58, 325-342, 2016 | 89 | 2016 |
| Improving customer retention in financial services using kinship network information DF Benoit, D Van den Poel Expert Systems with Applications 39 (13), 11435-11442, 2012 | 86 | 2012 |
| Incorporating sequential information in bankruptcy prediction with predictors based on Markov for discrimination A Volkov, DF Benoit, D Van den Poel Decision Support Systems 98, 59-68, 2017 | 72 | 2017 |
| Integrating expert knowledge and multilingual web crawling data in a lead qualification system J D’Haen, D Van den Poel, D Thorleuchter, DF Benoit Decision Support Systems 82, 69-78, 2016 | 71 | 2016 |
| Bayesian lasso binary quantile regression DF Benoit, R Alhamzawi, K Yu Computational Statistics 28, 2861-2873, 2013 | 71 | 2013 |
| A Bayesian approach for incorporating expert opinions into decision support systems: A case study of online consumer-satisfaction detection K Coussement, DF Benoit, M Antioco Decision Support Systems 79, 24-32, 2015 | 62 | 2015 |
| Interpretable data science for decision making K Coussement, DF Benoit Decision Support Systems 150, 113664, 2021 | 60 | 2021 |
| Synthetic data generator for electric vehicle charging sessions: modeling and evaluation using real-world data M Lahariya, DF Benoit, C Develder Energies 13 (16), 4211, 2020 | 47 | 2020 |
| Forecasting directional bitcoin price returns using aspect-based sentiment analysis on online text data E Loginova, WK Tsang, G van Heijningen, LP Kerkhove, DF Benoit Machine Learning 113 (7), 4761-4784, 2024 | 45 | 2024 |
| On realising the utopian potential of big data analytics for maximising return on marketing investments DF Benoit, S Lessmann, W Verbeke Journal of Marketing Management 36 (3-4), 233-247, 2020 | 45 | 2020 |
| Modeling and analysis of residential flexibility: Timing of white good usage N Sadeghianpourhamami, T Demeester, DF Benoit, M Strobbe, ... Applied energy 179, 790-805, 2016 | 45 | 2016 |
| Older people’s preferences for side effects associated with antimuscarinic treatments of overactive bladder: a discrete-choice experiment VH Decalf, AMJ Huion, DF Benoit, MA Denys, M Petrovic, KCMM Everaert Drugs & Aging 34, 615-623, 2017 | 36 | 2017 |
