Dries F. Benoit

发表

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

Dirk Van den Poel, Dries F. Benoit, D. V. Poel, 2009, Expert Syst. Appl..

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

Kristof Coussement, Dirk Van den Poel, Dries F. Benoit, 2010, Expert Syst. Appl..

Churn Prediction using hierarchical generative models

Dries F. Benoit, Wai Tsang, 2017 .

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, 2015, Decis. Support Syst..

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

Annelies Raes, Arno De Caigny, Kristof Coussement, 2020, Decis. Support Syst..

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

Dries F. Benoit, Philippe Baecke, Dieter Oosterlinck, 2020, Eur. J. Oper. Res..

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

Dries F. Benoit, Philippe Baecke, Iris Roelens, 2016, Decis. Support Syst..

Enhanced decision support in credit scoring using Bayesian binary quantile regression

Dirk Van den Poel, Dries F. Benoit, Vera L. Miguéis, 2013, J. Oper. Res. Soc..

Robust Bayesian seemingly unrelated regression model

Stefan Van Aelst, Dries F. Benoit, Kris Peremans, 2018, Comput. Stat..

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

Annelies Raes, Tammy Schellens, Bram de Wever, 2016, Comput. Hum. Behav..

Improving direct mail targeting through customer response modeling

Kristof Coussement, Dries F. Benoit, Paul Harrigan, 2015, Expert Syst. Appl..

Gaussian processes for daily demand prediction in tourism planning

Dries F. Benoit, Wai Kit Tsang, 2020 .

bayesQR: A Bayesian Approach to Quantile Regression

Dirk Van den Poel, Dries F. Benoit, D. Benoit, 2017 .

Bayesian lasso binary quantile regression

Rahim Alhamzawi, Dries F. Benoit, Keming Yu, 2013, Computational Statistics.

Synthetic Data Generator for Electric Vehicle Charging Sessions: Modeling and Evaluation Using Real-World Data

Dries F. Benoit, Chris Develder, Manu Lahariya, 2020, Energies.

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

Chris Develder, Dirk Deschrijver, Dries F. Benoit, 2018, e-Energy.

Bayesian cylindrical data modeling using Abe-Ley mixtures

Chris Develder, Dirk Deschrijver, Dries F. Benoit, 2019 .

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

Dirk Van den Poel, Dries F. Benoit, Andrey Volkov, 2017, Decis. Support Syst..

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

Dirk Thorleuchter, Dirk Van den Poel, Dries F. Benoit, 2016, Decis. Support Syst..

Improving customer retention in financial services using kinship network information

Dirk Van den Poel, Dries F. Benoit, D. V. Poel, 2012, Expert Syst. Appl..

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

Dries F. Benoit, Philippe Baecke, Dieter Oosterlinck, 2021, Expert Syst. Appl..

Interpretable data science for decision making

Kristof Coussement, Dries F. Benoit, D. Benoit, 2021, Decis. Support Syst..

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

Thomas Demeester, Chris Develder, Matthias Strobbe, 2016 .

WORKING PAPER Binary quantile regression: A Bayesian approach based on the asymmetric Laplace density

Dirk Van den Poel, Dries F. Benoit, D. Benoit, 2010 .

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

Dirk Van den Poel, Dries F. Benoit, D. Benoit, 2012 .

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

Nico Van de Weghe, Dries F. Benoit, Philippe Baecke, 2017 .

bayesQR: Bayesian quantile regression

Rahim Alhamzawi, Dirk Van den Poel, Dries F. Benoit, 2011 .

Preventing Customers from Running Away! Exploring Generalized Additive Models for Customer Churn Prediction

Kristof Coussement, Dirk Van den Poel, Dries F. Benoit, 2015 .

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

Dries F. Benoit, Filipa Peleja, Salim Yunus, 2023, ArXiv.

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

Dries F. Benoit, D. Benoit, Louis-Philippe Kerkhove, 2021, Machine Learning.

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

Dries F. Benoit, D. Benoit, W. Verbeke, 2020 .

Older People’s Preferences for Side Effects Associated with Antimuscarinic Treatments of Overactive Bladder: A Discrete-Choice Experiment

Dries F. Benoit, D. Benoit, M. Petrovic, 2017, Drugs & Aging.

Bayesian adaptive Lasso quantile regression

Dries F. Benoit, Keming Yu, D. Benoit, 2012 .

Outlier‐Robust Bayesian Multinomial Choice Modeling

Dries F. Benoit, D. Benoit, D. V. Poel, 2016 .

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

Dries F. Benoit, Kristof Coussement, W. Tsang, 2024, Technological Forecasting and Social Change.