Research Explorer

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Researcher

Dries Benoit

Publications & Research Data

Awards & Distinctions

69 Results

2026

A bandit-based approach to educational recommender systems : contextual Thompson sampling for learner skill gain optimization

Lukas De KerpelArthur ThuyDries Benoit

A2 Journal Article in TRANSACTIONS ON EDUCATION

A bandit-based approach to educational recommender systems : contextual Thompson sampling for learner skill gain optimization

Lukas De KerpelArthur ThuyDries Benoit

A lightweight graph representation for scalable deep learning on 3D CAD data

Toon Van CampDries Benoit

A reward-informed semi-personalized bandit approach for enhancing accuracy and serendipity in online slate recommendations

Lukas De KerpelDries Benoit

A2 Journal Article in ACM TRANSACTIONS ON RECOMMENDER SYSTEMS

Applications, challenges, and implementations of AI in B2B business

Juliana Sanchez RamirezKristof CoussementDries Benoit

2025

A deep learning approach for analyzing visual and textual content in Tintin comics

Lukas De KerpelToon Van CampAzat ŞaşkalDries Benoit

Automated data generation for assessing sheet metal bending manufacturability

Matteo BallegeerToon Van CampDries Benoit

Drivers of plant-associated invertebrate community structure in West-European coastal dunes

Ruben Van De WalleMaxime DahirelWard LangeraertDries BenoitPieter VantieghemMartijn L. VandegehuchteFrançois MassolDries Bonte

A2 Journal Article in NPJ BIODIVERSITY

Evaluating the stability of model explanations in instance-dependent cost-sensitive credit scoring

Matteo BallegeerMatthias BogaertDries Benoit

Evaluating the stability of model explanations in instance-dependent cost-sensitive credit scoring

Matteo BallegeerMatthias BogaertDries Benoit

A1 Journal Article in EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Learning analytics with neural networks : addressing open challenges through uncertainty quantification and natural language processing

Arthur ThuyDries Benoit

Ordinal regression for question difficulty estimation with transformer-based neural networks

Arthur ThuyEkaterina LoginovaDries Benoit

Ordinality in discrete-level question difficulty estimation : introducing balanced DRPS and OrderedLogitNN

Arthur ThuyEkaterina LoginovaDries Benoit

Segmenting unmanufacturable regions in CAD designs through deep learning and domain adaptation

Toon Van CampDries Benoit

2024

Active learning to guide labeling efforts for question difficulty estimation

Arthur ThuyEkaterina LoginovaDries Benoit

Cheaper neural network ensembles : a case study in manufacturing

Arthur ThuyThomas SuysDries Benoit

Explainability through uncertainty : trustworthy decision-making with neural networks

Arthur ThuyDries Benoit

A1 Journal Article in EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

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

Arthur ThuyDries Benoit

A1 Journal Article in ANNALS OF OPERATIONS RESEARCH

Forecasting directional bitcoin price returns using aspect-based sentiment analysis on online text data

Ekaterina LoginovaWai Kit TsangGuus van HeijningenLouis-Philippe KerkhoveDries Benoit

A1 Journal Article in MACHINE LEARNING

Guiding labeling efforts in question difficulty estimation using active learning

Arthur ThuyDries Benoit

High-stake student drop-out prediction using hidden Markov models in fully asynchronous subscription-based MOOCs

Dries BenoitWai TsangKristof CoussementAnnelies Raes

A1 Journal Article in TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE

Towards effective and efficient personalized ranking in news article recommender systems : balancing clicks and diversity

Lukas De KerpelDries Benoit

2023

Integrating AI into CAD systems : manufacturing cost estimation and redesign proposal

Lukas De KerpelDries Benoit

2022

Leveraging uncertainty estimation for trustworthy predictions in decision-making

Arthur ThuyDries Benoit

Structural information in mathematical formulas for exercise difficulty prediction : a comparison of NLP representations

Ekaterina LoginovaDries Benoit

Studies on advanced natural language processing representations and deep learning in decision making systems

Ekaterina LoginovaDries Benoit

The off-policy evaluation of Bayesian contextual bandit strategies in an e-commerce recommender system

Lukas De KerpelDries Benoit

2021

Embedding navigation patterns for student performance prediction

Ekaterina LoginovaDries Benoit

Home location prediction with telecom data : benchmarking heuristics with a predictive modelling approach

Dieter OosterlinckPhilippe BaeckeDries Benoit

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

Interpretable data science for decision making

Kristof CoussementDries Benoit

A1 Journal Article in DECISION SUPPORT SYSTEMS

Modelling spatio-temporal human behaviour with mobile phone data : a data analytical approach

Dieter OosterlinckDries BenoitPhilippe Baecke

Towards the application of calibrated transformers to the unsupervised estimation of question difficulty from text

Ekaterina LoginovaLuca BenedettoDries BenoitPaolo Cremonesi

2020

Defining a synthetic data generator for realistic electric vehicle charging sessions

Manu LahariyaDries BenoitChris Develder

Essays on interpretable machine learning with time series applications

Wai TsangDries Benoit

From one-class to two-class classification by incorporating expert knowledge : novelty detection in human behaviour

Dieter OosterlinckDries BenoitPhilippe Baecke

A1 Journal Article in EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Gaussian processes for daily demand prediction

Wai TsangDries Benoit

A1 Journal Article in JOURNAL OF FORECASTING

On realising the utopian potential of big data analytics for maximising return on marketing investments

Dries BenoitS. LessmannW. Verbeke

A1 Journal Article in JOURNAL OF MARKETING MANAGEMENT

Predicting student dropout in subscription-based online learning environments : the beneficial impact of the logit leaf model

Kristof CoussementMinh PhanArno De CaignyDries BenoitAnnelies Raes

A1 Journal Article in DECISION SUPPORT SYSTEMS

Synthetic data generator for electric vehicle charging sessions : modeling and evaluation using real-world data

Manu LahariyaDries BenoitChris Develder

A1 Journal Article in ENERGIES

2019

Bayesian cylindrical data modeling using Abe-Ley mixtures

Nasrin SadeghianpourhamamiDries BenoitDirk DeschrijverChris Develder

A1 Journal Article in APPLIED MATHEMATICAL MODELLING

Robust Bayesian seemingly unrelated regression model

Chamberlain MbahKris PeremansStefan Van AelstDries Benoit

A1 Journal Article in COMPUTATIONAL STATISTICS

2018

Advances in referral marketing using social networks

Iris RoelensDries BenoitPhilippe Baecke

Gaussian processes for daily demand prediction in the hospitality industry

Wai TsangDries Benoit

2017

bayesQR : a Bayesian approach to quantile regression

Dries BenoitDirk Van den Poel

A1 Journal Article in JOURNAL OF STATISTICAL SOFTWARE

Bluetooth tracking of humans in an indoor environment : an application to shopping mall visits

Dieter OosterlinckDries BenoitPhilippe BaeckeNico Van de Weghe

A1 Journal Article in APPLIED GEOGRAPHY

Churn Prediction using hierarchical generative models

Wai TsangDries Benoit

Incorporating sequential information in bankruptcy prediction with predictors based on Markov for discrimination

Andrey VolkovDries BenoitDirk Van den Poel

A1 Journal Article in DECISION SUPPORT SYSTEMS

Older people’s preferences for side effects associated with antimuscarinic treatments of overactive bladder : a discrete-choice experiment

Veerle DecalfAnja HuionDries BenoitMarie-Astrid DenysMirko PetrovicKarel Everaert

A1 Journal Article in DRUGS & AGING

2016

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

Iris RoelensPhilippe BaeckeDries Benoit

A1 Journal Article in DECISION SUPPORT SYSTEMS

Impact of side effects on choice of anti-cholinergic medications for overactive bladder in an older population : a discrete choice experiment

Candy KumpsVeerle DecalfDries BenoitAnja HuionMarie-Astrid DenysNico De WitteKarel Everaert

Integrating expert knowledge and multilingual web crawling data in a lead qualification system

Jeroen D'HaenDirk Van den PoelDirk ThorleuchterDries Benoit

A1 Journal Article in DECISION SUPPORT SYSTEMS

Modeling and analysis of residential flexibility: timing of white good usage

Nasrin SadeghianpourhamamiThomas DemeesterDries BenoitMatthias StrobbeChris Develder

A1 Journal Article in APPLIED ENERGY

Outlier-robust Bayesian multinomial choice modeling

Dries BenoitStefan Van AelstDirk Van den Poel

A1 Journal Article in JOURNAL OF APPLIED ECONOMETRICS

Promoting metacognitive regulation through collaborative problem solving on the web : when scripting does not work

Annelies RaesTammy SchellensBram De WeverDries Benoit

A1 Journal Article in COMPUTERS IN HUMAN BEHAVIOR

Using social network knowledge to enhance customer churn prediction

Wai TsangDries Benoit

2015

A Bayesian approach for incorporating expert opinions into decision support systems: a case study of online consumer-satisfaction detection

Kristof CoussementDries BenoitMichael Antioco

A1 Journal Article in DECISION SUPPORT SYSTEMS

Improving direct mail targeting through customer response modeling

Kristof CoussementPaul HarriganDries Benoit

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

Preventing customers from running away! Exploring generalized additive models for customer churn prediction

Kristof CoussementDries BenoitDirk Van den Poel

2013

Bayesian lasso binary quantile regression

Dries BenoitRahim Al-HamzawiKeming Yu

A1 Journal Article in COMPUTATIONAL STATISTICS

Enhanced decision support in credit scoring using Bayesian binary quantile regression

Vera MiguéisDries BenoitDirk Van den Poel

A1 Journal Article in JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY

Quantile regression for database marketing: methods and applications

Dries BenoitDirk Van den Poel

Bookchapter in Advanced database marketing : innovative methodologies and applications for managing customer relationships

2012

Bayesian adaptive lasso quantile regression

Rahim Al-HamzawiKeming YuDries Benoit

A1 Journal Article in STATISTICAL MODELLING

Binary quantile regression: a Bayesian approach based on the asymmetric Laplace distribution

Dries BenoitDirk Van den Poel

A1 Journal Article in JOURNAL OF APPLIED ECONOMETRICS

Improving customer retention in financial services using kinship network information

Dries BenoitDirk Van den Poel

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

2011

bayesQR: Bayesian quantile regression

Dries BenoitRahim Al-HamzawiKeming YuDirk Van den Poel

Essays on Bayesian quantile regression using Laplace-like distributions with applications in economics

Dries BenoitDirk Van den Poel

RFM variables revisited using quantile regression

Michel BallingsDries BenoitDirk Van den Poel

2010

Improved marketing decision making in a customer churn prediction context using generalized additive models

Kristof CoussementDries BenoitDirk Van den Poel

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS

2009

Benefits of quantile regression for the analysis of customer lifetime value in a contractual setting: An application in financial services

Dries BenoitDirk Van den Poel

A1 Journal Article in EXPERT SYSTEMS WITH APPLICATIONS