Benefits of quantile regression for the analysis of customer lifetime value in a contractual setting: An application in financial services. - Dries F. Benoit; Dirk Van den Poel (Expert Syst. Appl., 2009)

Improved marketing decision making in a customer churn prediction context using generalized additive models. - Kristof Coussement; Dries F. Benoit; Dirk Van den Poel (Expert Syst. Appl., 2010)

RFM Variables Revisited Using Quantile Regression. - Michel Ballings; Dries F. Benoit; Dirk Van den Poel (ICDM Workshops, 2011)

Improving customer retention in financial services using kinship network information. - Dries F. Benoit; Dirk Van den Poel (Expert Syst. Appl., 2012)

Bayesian lasso binary quantile regression. - Dries F. Benoit; Rahim Alhamzawi; Keming Yu (Comput. Stat., 2013)

Enhanced decision support in credit scoring using Bayesian binary quantile regression. - Vera L. Miguéis; Dries F. Benoit; Dirk Van den Poel (J. Oper. Res. Soc., 2013)

A Bayesian approach for incorporating expert opinions into decision support systems: A case study of online consumer-satisfaction detection. - Kristof Coussement; Dries F. Benoit; Michael Antioco (Decis. Support Syst., 2015)

Improving direct mail targeting through customer response modeling. - Kristof Coussement; Paul Harrigan; Dries F. Benoit (Expert Syst. Appl., 2015)

Promoting metacognitive regulation through collaborative problem solving on the web: When scripting does not work. - Annelies Raes; Tammy Schellens; Bram de Wever; Dries F. Benoit (Comput. Hum. Behav., 2016)

Integrating expert knowledge and multilingual web crawling data in a lead qualification system. - Jeroen D'Haen; Dirk Van den Poel; Dirk Thorleuchter; Dries F. Benoit (Decis. Support Syst., 2016)

Identifying influencers in a social network: The value of real referral data. - Iris Roelens; Philippe Baecke; Dries F. Benoit (Decis. Support Syst., 2016)

Incorporating sequential information in bankruptcy prediction with predictors based on Markov for discrimination. - Andrey Volkov; Dries F. Benoit; Dirk Van den Poel (Decis. Support Syst., 2017)

Modeling Real-World Flexibility of Residential Power Consumption: Exploring the Cylindrical WeiSSVM Distribution. - Nasrin Sadeghianpourhamami; Dries F. Benoit; Dirk Deschrijver; Chris Develder (e-Energy, 2018)

Robust Bayesian seemingly unrelated regression model. - Chamberlain Mbah; Kris Peremans; Stefan Van Aelst; Dries F. Benoit (Comput. Stat., 2019)

Defining a synthetic data generator for realistic electric vehicle charging sessions. - Manu Lahariya; Dries F. Benoit; Chris Develder (e-Energy, 2020)

Predicting student dropout in subscription-based online learning environments: The beneficial impact of the logit leaf model. - Kristof Coussement; Minh Phan; Arno De Caigny; Dries F. Benoit; Annelies Raes (Decis. Support Syst., 2020)

From one-class to two-class classification by incorporating expert knowledge: Novelty detection in human behaviour. - Dieter Oosterlinck; Dries F. Benoit; Philippe Baecke (Eur. J. Oper. Res., 2020)

Embedding navigation patterns for student performance prediction. - Ekaterina Loginova; Dries F. Benoit (EDM, 2021)

Towards the Application of Calibrated Transformers to the Unsupervised Estimation of Question Difficulty from Text. - Ekaterina Loginova; Luca Benedetto; Dries F. Benoit; Paolo Cremonesi (RANLP, 2021)

Interpretable data science for decision making. - Kristof Coussement; Dries F. Benoit (Decis. Support Syst., 2021)

Home location prediction with telecom data: Benchmarking heuristics with a predictive modelling approach. - Dieter Oosterlinck; Philippe Baecke; Dries F. Benoit (Expert Syst. Appl., 2021)

Using Machine Learning Methods for Automation of Size Grid Building and Management. - Salim Yunus; Dries F. Benoit; Filipa Peleja (CoRR, 2023)

Reliable uncertainty with cheaper neural network ensembles: a case study in industrial parts classification. - Arthur Thuy; Dries F. Benoit (CoRR, 2024)

Active Learning to Guide Labeling Efforts for Question Difficulty Estimation. - Arthur Thuy; Ekaterina Loginova; Dries F. Benoit (CoRR, 2024)

Explainability through uncertainty: Trustworthy decision-making with neural networks. - Arthur Thuy; Dries F. Benoit (Eur. J. Oper. Res., 2024)

Forecasting directional bitcoin price returns using aspect-based sentiment analysis on online text data. - Ekaterina Loginova; Wai Kit Tsang; Guus van Heijningen; Louis-Philippe Kerkhove; Dries F. Benoit (Mach. Learn., 2024)

Evaluating the stability of model explanations in instance-dependent cost-sensitive credit scoring. - Matteo Ballegeer; Matthias Bogaert; Dries F. Benoit (Eur. J. Oper. Res., 2025)

Ordinality in Discrete-level Question Difficulty Estimation: Introducing Balanced DRPS and OrderedLogitNN. - Arthur Thuy; Ekaterina Loginova; Dries F. Benoit (CoRR, 2025)