Dries F. Benoit

36 papers B 1Misc 1Journal 31Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Bandit-Based Approach to Educational Recommender Systems: Contextual Thompson Sampling for Learner Skill Gain Optimization.
CoRR
Lukas De Kerpel, Arthur Thuy, Dries F. Benoit
2026 J jnl
A Reward-Informed Semi-Personalized Bandit Approach for Enhancing Accuracy and Serendipity in Online Slate Recommendations.
Trans. Recomm. Syst.
Lukas De Kerpel, Dries F. Benoit
2026 J jnl
BenDFM: A taxonomy and synthetic CAD dataset for manufacturability assessment in sheet metal bending.
CoRR
Matteo Ballegeer, Dries F. Benoit
2026 J jnl
FoV-Net: Rotation-Invariant CAD B-rep Learning via Field-of-View Ray Casting.
CoRR
Matteo Ballegeer, Dries F. Benoit
2025 J jnl
Evaluating the stability of model explanations in instance-dependent cost-sensitive credit scoring.
CoRR
Matteo Ballegeer, Matthias Bogaert, Dries F. Benoit
2025 J jnl
Evaluating the stability of model explanations in instance-dependent cost-sensitive credit scoring.
Eur. J. Oper. Res.
Matteo Ballegeer, Matthias Bogaert, Dries F. Benoit
2025 J jnl
Fast and reliable uncertainty quantification with neural network ensembles for industrial image classification.
Ann. Oper. Res.
Arthur Thuy, Dries F. Benoit
2025 J jnl
Ordinality in Discrete-level Question Difficulty Estimation: Introducing Balanced DRPS and OrderedLogitNN.
CoRR
Arthur Thuy, Ekaterina Loginova, Dries F. Benoit
2024 J jnl
Active Learning to Guide Labeling Efforts for Question Difficulty Estimation.
CoRR
Arthur Thuy, Ekaterina Loginova, Dries F. Benoit
2024 J jnl
Explainability through uncertainty: Trustworthy decision-making with neural networks.
CoRR
Arthur Thuy, Dries F. Benoit
2024 J jnl
Explainability through uncertainty: Trustworthy decision-making with neural networks.
Eur. J. Oper. Res.
Arthur Thuy, Dries F. Benoit
2024 J jnl
Forecasting directional bitcoin price returns using aspect-based sentiment analysis on online text data.
Mach. Learn.
Ekaterina Loginova, Wai Kit Tsang, Guus van Heijningen, Louis-Philippe Kerkhove, Dries F. Benoit
2024 J jnl
Reliable uncertainty with cheaper neural network ensembles: a case study in industrial parts classification.
CoRR
Arthur Thuy, Dries F. Benoit
2023 J jnl
Using Machine Learning Methods for Automation of Size Grid Building and Management.
CoRR
Salim Yunus, Dries F. Benoit, Filipa Peleja
2022 J jnl
Defining a synthetic data generator for realistic electric vehicle charging sessions.
CoRR
Manu Lahariya, Dries F. Benoit, Chris Develder
2021 B conf
Embedding navigation patterns for student performance prediction.
EDM
Ekaterina Loginova, Dries F. Benoit
2021 J jnl
Home location prediction with telecom data: Benchmarking heuristics with a predictive modelling approach.
Expert Syst. Appl.
Dieter Oosterlinck, Philippe Baecke, Dries F. Benoit
2021 J jnl
Interpretable data science for decision making.
Decis. Support Syst.
Kristof Coussement, Dries F. Benoit
2021 Misc conf
Towards the Application of Calibrated Transformers to the Unsupervised Estimation of Question Difficulty from Text.
RANLP
Ekaterina Loginova, Luca Benedetto, Dries F. Benoit, Paolo Cremonesi
2020 — conf
Defining a synthetic data generator for realistic electric vehicle charging sessions.
e-Energy
Manu Lahariya, Dries F. Benoit, Chris Develder
2020 J jnl
From one-class to two-class classification by incorporating expert knowledge: Novelty detection in human behaviour.
Eur. J. Oper. Res.
Dieter Oosterlinck, Dries F. Benoit, Philippe Baecke
2020 J jnl
Predicting student dropout in subscription-based online learning environments: The beneficial impact of the logit leaf model.
Decis. Support Syst.
Kristof Coussement, Minh Phan, Arno De Caigny, Dries F. Benoit, Annelies Raes
2019 J jnl
Robust Bayesian seemingly unrelated regression model.
Comput. Stat.
Chamberlain Mbah, Kris Peremans, Stefan Van Aelst, Dries F. Benoit
2018 — conf
Modeling Real-World Flexibility of Residential Power Consumption: Exploring the Cylindrical WeiSSVM Distribution.
e-Energy
Nasrin Sadeghianpourhamami, Dries F. Benoit, Dirk Deschrijver, Chris Develder
2017 J jnl
Incorporating sequential information in bankruptcy prediction with predictors based on Markov for discrimination.
Decis. Support Syst.
Andrey Volkov, Dries F. Benoit, Dirk Van den Poel
2016 J jnl
Identifying influencers in a social network: The value of real referral data.
Decis. Support Syst.
Iris Roelens, Philippe Baecke, Dries F. Benoit
2016 J jnl
Integrating expert knowledge and multilingual web crawling data in a lead qualification system.
Decis. Support Syst.
Jeroen D'Haen, Dirk Van den Poel, Dirk Thorleuchter, Dries F. Benoit
2016 J jnl
Promoting metacognitive regulation through collaborative problem solving on the web: When scripting does not work.
Comput. Hum. Behav.
Annelies Raes, Tammy Schellens, Bram de Wever, Dries F. Benoit
2015 J jnl
A Bayesian approach for incorporating expert opinions into decision support systems: A case study of online consumer-satisfaction detection.
Decis. Support Syst.
Kristof Coussement, Dries F. Benoit, Michael Antioco
2015 J jnl
Improving direct mail targeting through customer response modeling.
Expert Syst. Appl.
Kristof Coussement, Paul Harrigan, Dries F. Benoit
2013 J jnl
Bayesian lasso binary quantile regression.
Comput. Stat.
Dries F. Benoit, Rahim Alhamzawi, Keming Yu
2013 J jnl
Enhanced decision support in credit scoring using Bayesian binary quantile regression.
J. Oper. Res. Soc.
Vera L. Miguéis, Dries F. Benoit, Dirk Van den Poel
2012 J jnl
Improving customer retention in financial services using kinship network information.
Expert Syst. Appl.
Dries F. Benoit, Dirk Van den Poel
2011 — conf
RFM Variables Revisited Using Quantile Regression.
ICDM Workshops
Michel Ballings, Dries F. Benoit, Dirk Van den Poel
2010 J jnl
Improved marketing decision making in a customer churn prediction context using generalized additive models.
Expert Syst. Appl.
Kristof Coussement, Dries F. Benoit, Dirk Van den Poel
2009 J jnl
Benefits of quantile regression for the analysis of customer lifetime value in a contractual setting: An application in financial services.
Expert Syst. Appl.
Dries F. Benoit, Dirk Van den Poel