Dries F. Benoit

According to our database, Dries F. Benoit authored at least 34 papers between 2009 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Reward-Informed Semi-Personalized Bandit Approach for Enhancing Accuracy and Serendipity in Online Slate Recommendations.

Lukas De Kerpel, Dries F. Benoit

Trans. Recomm. Syst., September, 2026

CAD-feature enhanced machine learning for manufacturing effort estimation on sheet metal bending parts.

Matteo Ballegeer, Toon Van Camp, Willem Jaspers, Alp Bayar, Aung Nyein Soe, Martin Roelfs, Dries F. Benoit, Bieke Decraemer, Joost R. Duflou

CoRR, May, 2026

BenDFM: A taxonomy and synthetic CAD dataset for manufacturability assessment in sheet metal bending.

Matteo Ballegeer, Dries F. Benoit

CoRR, March, 2026

FoV-Net: Rotation-Invariant CAD B-rep Learning via Field-of-View Ray Casting.

Matteo Ballegeer, Dries F. Benoit

CoRR, February, 2026

A Bandit-Based Approach to Educational Recommender Systems: Contextual Thompson Sampling for Learner Skill Gain Optimization.

Lukas De Kerpel, Arthur Thuy, Dries F. Benoit

INFORMS Trans. Educ., 2026

2025

Fast and reliable uncertainty quantification with neural network ensembles for industrial image classification.

Arthur Thuy, Dries F. Benoit

Ann. Oper. Res., October, 2025

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

Proceedings of the Second Workshop on Automated Evaluation of Learning and Assessment Content co-located with 26th International Conference on Artificial Intelligence in Education (AIED 2025), 2025

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., July, 2024

Explainability through uncertainty: Trustworthy decision-making with neural networks.

Arthur Thuy, Dries F. Benoit

Eur. J. Oper. Res., 2024

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

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024

2023

Using Machine Learning Methods for Automation of Size Grid Building and Management.

Salim Yunus, Dries F. Benoit, Filipa Peleja

CoRR, 2023

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

Interpretable data science for decision making.

Kristof Coussement, Dries F. Benoit

Decis. Support Syst., 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

Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

Embedding navigation patterns for student performance prediction.

Ekaterina Loginova, Dries F. Benoit

Proceedings of the 14th International Conference on Educational Data Mining, 2021

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

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

Defining a synthetic data generator for realistic electric vehicle charging sessions.

Manu Lahariya, Dries F. Benoit, Chris Develder

Proceedings of the e-Energy '20: The Eleventh ACM International Conference on Future Energy Systems, 2020

2019

Robust Bayesian seemingly unrelated regression model.

Chamberlain Mbah, Kris Peremans, Stefan Van Aelst, Dries F. Benoit

Comput. Stat., 2019

2018

Modeling Real-World Flexibility of Residential Power Consumption: Exploring the Cylindrical WeiSSVM Distribution.

Nasrin Sadeghianpourhamami, Dries F. Benoit, Dirk Deschrijver, Chris Develder

Proceedings of the Ninth International Conference on Future Energy Systems, 2018

2017

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

2016

Identifying influencers in a social network: The value of real referral data.

Iris Roelens, Philippe Baecke, Dries F. Benoit

Decis. Support Syst., 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

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

2015

Improving direct mail targeting through customer response modeling.

Kristof Coussement, Paul Harrigan, Dries F. Benoit

Expert Syst. Appl., 2015

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

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

Bayesian lasso binary quantile regression.

Dries F. Benoit, Rahim Alhamzawi, Keming Yu

Comput. Stat., 2013

2012

Improving customer retention in financial services using kinship network information.

Dries F. Benoit, Dirk Van den Poel

Expert Syst. Appl., 2012

2011

RFM Variables Revisited Using Quantile Regression.

Michel Ballings, Dries F. Benoit, Dirk Van den Poel

Proceedings of the Data Mining Workshops (ICDMW), 2011

2010

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

2009

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