Dries F. Benoit

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 16

Top Topics

Expert Opinions

Seemingly Unrelated

Neural Network Ensembles

Decision Support

Top Venues

Decis. Support Syst.

Expert Syst. Appl.

Publications

Arthur Thuy, Dries F. Benoit
Explainability through uncertainty: Trustworthy decision-making with neural networks. Eur. J. Oper. Res. 317 (2) (2024)
Ekaterina Loginova, Wai Kit Tsang, Guus van Heijningen, Louis-Philippe Kerkhove, Dries F. Benoit
Forecasting directional bitcoin price returns using aspect-based sentiment analysis on online text data. Mach. Learn. 113 (7) (2024)
Arthur Thuy, Dries F. Benoit
Reliable uncertainty with cheaper neural network ensembles: a case study in industrial parts classification. CoRR (2024)
Arthur Thuy, Dries F. Benoit
Explainability through uncertainty: Trustworthy decision-making with neural networks. CoRR (2024)
Manu Lahariya, Dries F. Benoit, Chris Develder
Defining a synthetic data generator for realistic electric vehicle charging sessions. CoRR (2022)
Kristof Coussement, Dries F. Benoit
Interpretable data science for decision making. Decis. Support Syst. 150 (2021)
Dieter Oosterlinck, Philippe Baecke, Dries F. Benoit
Home location prediction with telecom data: Benchmarking heuristics with a predictive modelling approach. Expert Syst. Appl. 170 (2021)
Kristof Coussement, Minh Phan, Arno De Caigny, Dries F. Benoit, Annelies Raes
Predicting student dropout in subscription-based online learning environments: The beneficial impact of the logit leaf model. Decis. Support Syst. 135 (2020)
Manu Lahariya, Dries F. Benoit, Chris Develder
Defining a synthetic data generator for realistic electric vehicle charging sessions. e-Energy (2020)
Dieter Oosterlinck, Dries F. Benoit, Philippe Baecke
From one-class to two-class classification by incorporating expert knowledge: Novelty detection in human behaviour. Eur. J. Oper. Res. 282 (3) (2020)
Chamberlain Mbah, Kris Peremans, Stefan Van Aelst, Dries F. Benoit
Robust Bayesian seemingly unrelated regression model. Comput. Stat. 34 (3) (2019)
Nasrin Sadeghianpourhamami, Dries F. Benoit, Dirk Deschrijver, Chris Develder
Modeling Real-World Flexibility of Residential Power Consumption: Exploring the Cylindrical WeiSSVM Distribution. e-Energy (2018)
Andrey Volkov, Dries F. Benoit, Dirk Van den Poel
Incorporating sequential information in bankruptcy prediction with predictors based on Markov for discrimination. Decis. Support Syst. 98 (2017)
Jeroen D'Haen, Dirk Van den Poel, Dirk Thorleuchter, Dries F. Benoit
Integrating expert knowledge and multilingual web crawling data in a lead qualification system. Decis. Support Syst. 82 (2016)
Iris Roelens, Philippe Baecke, Dries F. Benoit
Identifying influencers in a social network: The value of real referral data. Decis. Support Syst. 91 (2016)
Annelies Raes, Tammy Schellens, Bram de Wever, Dries F. Benoit
Promoting metacognitive regulation through collaborative problem solving on the web: When scripting does not work. Comput. Hum. Behav. 58 (2016)
Kristof Coussement, Paul Harrigan, Dries F. Benoit
Improving direct mail targeting through customer response modeling. Expert Syst. Appl. 42 (22) (2015)
Kristof Coussement, Dries F. Benoit, Michael Antioco
A Bayesian approach for incorporating expert opinions into decision support systems: A case study of online consumer-satisfaction detection. Decis. Support Syst. 79 (2015)
Vera L. Miguéis, Dries F. Benoit, Dirk Van den Poel
Enhanced decision support in credit scoring using Bayesian binary quantile regression. J. Oper. Res. Soc. 64 (9) (2013)
Dries F. Benoit, Rahim Alhamzawi, Keming Yu
Bayesian lasso binary quantile regression. Comput. Stat. 28 (6) (2013)
Dries F. Benoit, Dirk Van den Poel
Improving customer retention in financial services using kinship network information. Expert Syst. Appl. 39 (13) (2012)
Michel Ballings, Dries F. Benoit, Dirk Van den Poel
RFM Variables Revisited Using Quantile Regression. ICDM Workshops (2011)
Kristof Coussement, Dries F. Benoit, Dirk Van den Poel
Improved marketing decision making in a customer churn prediction context using generalized additive models. Expert Syst. Appl. 37 (3) (2010)
Dries F. Benoit, Dirk Van den Poel
Benefits of quantile regression for the analysis of customer lifetime value in a contractual setting: An application in financial services. Expert Syst. Appl. 36 (7) (2009)