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Onderzoeker
Dries Benoit
Profiel
Projecten
Publicaties & datasets
Activiteiten
Prijzen & Erkenningen
Octrooien
64
Resultaten
2025
A deep learning approach for analyzing visual and textual content in Tintin comics
Lukas De Kerpel
Toon Van Camp
Azat Şaşkal
Dries Benoit
C3
Conferentie
2025
A reward-informed semi-personalized bandit approach for enhancing accuracy and serendipity in online slate recommendations
Lukas De Kerpel
Dries Benoit
A2
Artikel in een tijdschrift
in
ACM TRANSACTIONS ON RECOMMENDER SYSTEMS
2025
Automated data generation for assessing sheet metal bending manufacturability
Matteo Ballegeer
Toon Van Camp
Dries Benoit
C3
Conferentie
2025
Drivers of plant-associated invertebrate community structure in West-European coastal dunes
Ruben Van De Walle
Maxime Dahirel
Ward Langeraert
Dries Benoit
Pieter Vantieghem
Martijn L. Vandegehuchte
François Massol
Dries Bonte
A2
Artikel in een tijdschrift
in
NPJ BIODIVERSITY
2025
Evaluating the stability of model explanations in instance-dependent cost-sensitive credit scoring
Matteo Ballegeer
Matthias Bogaert
Dries Benoit
C3
Conferentie
2025
Evaluating the stability of model explanations in instance-dependent cost-sensitive credit scoring
Matteo Ballegeer
Matthias Bogaert
Dries Benoit
A1
Artikel in een tijdschrift
in
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
2025
Learning analytics with neural networks : addressing open challenges through uncertainty quantification and natural language processing
Arthur Thuy
Dries Benoit
Proefschrift
2025
Ordinal regression for question difficulty estimation with transformer-based neural networks
Arthur Thuy
Ekaterina Loginova
Dries Benoit
C3
Conferentie
2025
Ordinality in discrete-level question difficulty estimation : introducing balanced DRPS and OrderedLogitNN
Arthur Thuy
Ekaterina Loginova
Dries Benoit
C1
Conferentie
2025
Segmenting unmanufacturable regions in CAD designs through deep learning and domain adaptation
Toon Van Camp
Dries Benoit
C3
Conferentie
2025
2024
Active learning to guide labeling efforts for question difficulty estimation
Arthur Thuy
Ekaterina Loginova
Dries Benoit
C1
Conferentie
2024
Cheaper neural network ensembles : a case study in manufacturing
Arthur Thuy
Thomas Suys
Dries Benoit
C3
Conferentie
2024
Explainability through uncertainty : trustworthy decision-making with neural networks
Arthur Thuy
Dries Benoit
A1
Artikel in een tijdschrift
in
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
2024
Fast and reliable uncertainty quantification with neural network ensembles for industrial image classification
Arthur Thuy
Dries Benoit
A1
Artikel in een tijdschrift
in
ANNALS OF OPERATIONS RESEARCH
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 Benoit
A1
Artikel in een tijdschrift
in
MACHINE LEARNING
2024
Guiding labeling efforts in question difficulty estimation using active learning
Arthur Thuy
Dries Benoit
C3
Conferentie
2024
Towards effective and efficient personalized ranking in news article recommender systems : balancing clicks and diversity
Lukas De Kerpel
Dries Benoit
C3
Conferentie
2024
2023
Integrating AI into CAD systems : manufacturing cost estimation and redesign proposal
Lukas De Kerpel
Dries Benoit
C3
Conferentie
2023
2022
Leveraging uncertainty estimation for trustworthy predictions in decision-making
Arthur Thuy
Dries Benoit
C3
Conferentie
2022
Structural information in mathematical formulas for exercise difficulty prediction : a comparison of NLP representations
Ekaterina Loginova
Dries Benoit
C1
Conferentie
2022
Studies on advanced natural language processing representations and deep learning in decision making systems
Ekaterina Loginova
Dries Benoit
Proefschrift
2022
The off-policy evaluation of Bayesian contextual bandit strategies in an e-commerce recommender system
Lukas De Kerpel
Dries Benoit
C3
Conferentie
2022
2021
Embedding navigation patterns for student performance prediction
Ekaterina Loginova
Dries Benoit
C1
Conferentie
2021
Home location prediction with telecom data : benchmarking heuristics with a predictive modelling approach
Dieter Oosterlinck
Philippe Baecke
Dries Benoit
A1
Artikel in een tijdschrift
in
EXPERT SYSTEMS WITH APPLICATIONS
2021
Interpretable data science for decision making
Kristof Coussement
Dries Benoit
A1
Artikel in een tijdschrift
in
DECISION SUPPORT SYSTEMS
2021
Modelling spatio-temporal human behaviour with mobile phone data : a data analytical approach
Dieter Oosterlinck
Dries Benoit
Philippe Baecke
Proefschrift
2021
Towards the application of calibrated transformers to the unsupervised estimation of question difficulty from text
Ekaterina Loginova
Luca Benedetto
Dries Benoit
Paolo Cremonesi
C1
Conferentie
2021
2020
Defining a synthetic data generator for realistic electric vehicle charging sessions
Manu Lahariya
Dries Benoit
Chris Develder
C1
Conferentie
2020
Essays on interpretable machine learning with time series applications
Wai Tsang
Dries Benoit
Proefschrift
2020
From one-class to two-class classification by incorporating expert knowledge : novelty detection in human behaviour
Dieter Oosterlinck
Dries Benoit
Philippe Baecke
A1
Artikel in een tijdschrift
in
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
2020
Gaussian processes for daily demand prediction
Wai Tsang
Dries Benoit
A1
Artikel in een tijdschrift
in
JOURNAL OF FORECASTING
2020
On realising the utopian potential of big data analytics for maximising return on marketing investments
Dries Benoit
S. Lessmann
W. Verbeke
A1
Artikel in een tijdschrift
in
JOURNAL OF MARKETING MANAGEMENT
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 Benoit
Annelies Raes
A1
Artikel in een tijdschrift
in
DECISION SUPPORT SYSTEMS
2020
Synthetic data generator for electric vehicle charging sessions : modeling and evaluation using real-world data
Manu Lahariya
Dries Benoit
Chris Develder
A1
Artikel in een tijdschrift
in
ENERGIES
2020
2019
Bayesian cylindrical data modeling using Abe-Ley mixtures
Nasrin Sadeghianpourhamami
Dries Benoit
Dirk Deschrijver
Chris Develder
A1
Artikel in een tijdschrift
in
APPLIED MATHEMATICAL MODELLING
2019
Robust Bayesian seemingly unrelated regression model
Chamberlain Mbah
Kris Peremans
Stefan Van Aelst
Dries Benoit
A1
Artikel in een tijdschrift
in
COMPUTATIONAL STATISTICS
2019
2018
Advances in referral marketing using social networks
Iris Roelens
Dries Benoit
Philippe Baecke
Proefschrift
2018
Gaussian processes for daily demand prediction in the hospitality industry
Wai Tsang
Dries Benoit
C3
Conferentie
2018
2017
bayesQR : a Bayesian approach to quantile regression
Dries Benoit
Dirk Van den Poel
A1
Artikel in een tijdschrift
in
JOURNAL OF STATISTICAL SOFTWARE
2017
Bluetooth tracking of humans in an indoor environment : an application to shopping mall visits
Dieter Oosterlinck
Dries Benoit
Philippe Baecke
Nico Van de Weghe
A1
Artikel in een tijdschrift
in
APPLIED GEOGRAPHY
2017
Churn Prediction using hierarchical generative models
Wai Tsang
Dries Benoit
C3
Conferentie
2017
Incorporating sequential information in bankruptcy prediction with predictors based on Markov for discrimination
Andrey Volkov
Dries Benoit
Dirk Van den Poel
A1
Artikel in een tijdschrift
in
DECISION SUPPORT SYSTEMS
2017
Older people’s preferences for side effects associated with antimuscarinic treatments of overactive bladder : a discrete-choice experiment
Veerle Decalf
Anja Huion
Dries Benoit
Marie-Astrid Denys
Mirko Petrovic
Karel Everaert
A1
Artikel in een tijdschrift
in
DRUGS & AGING
2017
2016
Identifying influencers in a social network : the value of real referral data
Iris Roelens
Philippe Baecke
Dries Benoit
A1
Artikel in een tijdschrift
in
DECISION SUPPORT SYSTEMS
2016
Impact of side effects on choice of anti-cholinergic medications for overactive bladder in an older population : a discrete choice experiment
Candy Kumps
Veerle Decalf
Dries Benoit
Anja Huion
Marie-Astrid Denys
Nico De Witte
Karel Everaert
C3
Conferentie
2016
Integrating expert knowledge and multilingual web crawling data in a lead qualification system
Jeroen D'Haen
Dirk Van den Poel
Dirk Thorleuchter
Dries Benoit
A1
Artikel in een tijdschrift
in
DECISION SUPPORT SYSTEMS
2016
Modeling and analysis of residential flexibility: timing of white good usage
Nasrin Sadeghianpourhamami
Thomas Demeester
Dries Benoit
Matthias Strobbe
Chris Develder
A1
Artikel in een tijdschrift
in
APPLIED ENERGY
2016
Outlier-robust Bayesian multinomial choice modeling
Dries Benoit
Stefan Van Aelst
Dirk Van den Poel
A1
Artikel in een tijdschrift
in
JOURNAL OF APPLIED ECONOMETRICS
2016
Promoting metacognitive regulation through collaborative problem solving on the web : when scripting does not work
Annelies Raes
Tammy Schellens
Bram De Wever
Dries Benoit
A1
Artikel in een tijdschrift
in
COMPUTERS IN HUMAN BEHAVIOR
2016
Using social network knowledge to enhance customer churn prediction
Wai Tsang
Dries Benoit
C3
Conferentie
2016
2015
A Bayesian approach for incorporating expert opinions into decision support systems: a case study of online consumer-satisfaction detection
Kristof Coussement
Dries Benoit
Michael Antioco
A1
Artikel in een tijdschrift
in
DECISION SUPPORT SYSTEMS
2015
Improving direct mail targeting through customer response modeling
Kristof Coussement
Paul Harrigan
Dries Benoit
A1
Artikel in een tijdschrift
in
EXPERT SYSTEMS WITH APPLICATIONS
2015
Preventing customers from running away! Exploring generalized additive models for customer churn prediction
Kristof Coussement
Dries Benoit
Dirk Van den Poel
C3
Conferentie
2015
2013
Bayesian lasso binary quantile regression
Dries Benoit
Rahim Al-Hamzawi
Keming Yu
A1
Artikel in een tijdschrift
in
COMPUTATIONAL STATISTICS
2013
Enhanced decision support in credit scoring using Bayesian binary quantile regression
Vera Miguéis
Dries Benoit
Dirk Van den Poel
A1
Artikel in een tijdschrift
in
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
2013
Quantile regression for database marketing: methods and applications
Dries Benoit
Dirk Van den Poel
Hoofdstuk in een boek
in
Advanced database marketing : innovative methodologies and applications for managing customer relationships
2013
2012
Bayesian adaptive lasso quantile regression
Rahim Al-Hamzawi
Keming Yu
Dries Benoit
A1
Artikel in een tijdschrift
in
STATISTICAL MODELLING
2012
Binary quantile regression: a Bayesian approach based on the asymmetric Laplace distribution
Dries Benoit
Dirk Van den Poel
A1
Artikel in een tijdschrift
in
JOURNAL OF APPLIED ECONOMETRICS
2012
Improving customer retention in financial services using kinship network information
Dries Benoit
Dirk Van den Poel
A1
Artikel in een tijdschrift
in
EXPERT SYSTEMS WITH APPLICATIONS
2012
2011
bayesQR: Bayesian quantile regression
Dries Benoit
Rahim Al-Hamzawi
Keming Yu
Dirk Van den Poel
Andere
2011
Essays on Bayesian quantile regression using Laplace-like distributions with applications in economics
Dries Benoit
Dirk Van den Poel
Proefschrift
2011
RFM variables revisited using quantile regression
Michel Ballings
Dries Benoit
Dirk Van den Poel
C1
Conferentie
2011
2010
Improved marketing decision making in a customer churn prediction context using generalized additive models
Kristof Coussement
Dries Benoit
Dirk Van den Poel
A1
Artikel in een tijdschrift
in
EXPERT SYSTEMS WITH APPLICATIONS
2010
2009
Benefits of quantile regression for the analysis of customer lifetime value in a contractual setting: An application in financial services
Dries Benoit
Dirk Van den Poel
A1
Artikel in een tijdschrift
in
EXPERT SYSTEMS WITH APPLICATIONS
2009