Kristof Coussement
Orcid: 0000-0003-1346-9425Affiliations:
- University of Lille, IESEG School of Management, France
According to our database1,
Kristof Coussement
authored at least 42 papers
between 2008 and 2024.
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Bibliography
2024
Exploiting time-varying RFM measures for customer churn prediction with deep neural networks.
Ann. Oper. Res., August, 2024
Information sharing and political polarisation on social media: The role of falsehood and partisanship.
Inf. Syst. J., May, 2024
Do the US president's tweets better predict oil prices? An empirical examination using long short-term memory networks.
Int. J. Prod. Res., March, 2024
Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda.
Eur. J. Oper. Res., 2024
Investigating the beneficial impact of segmentation-based modelling for credit scoring.
Decis. Support Syst., 2024
Improved decision-making through life event prediction: A case study in the financial services industry.
Decis. Support Syst., 2024
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024
2023
A decision support framework to incorporate textual data for early student dropout prediction in higher education.
Decis. Support Syst., May, 2023
Extending business failure prediction models with textual website content using deep learning.
Eur. J. Oper. Res., 2023
CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
2022
What makes people share political content on social media? The role of emotion, authority and ideology.
Comput. Hum. Behav., 2022
A decision-analytic framework for interpretable recommendation systems with multiple input data sources: a case study for a European e-tailer.
Ann. Oper. Res., 2022
2021
Sensors, 2021
Targeting customers for profit: An ensemble learning framework to support marketing decision-making.
Inf. Sci., 2021
2020
Inf. Manag., 2020
Cost-sensitive business failure prediction when misclassification costs are uncertain: A heterogeneous ensemble selection approach.
Eur. J. Oper. Res., 2020
Predicting student dropout in subscription-based online learning environments: The beneficial impact of the logit leaf model.
Decis. Support Syst., 2020
Decis. Support Syst., 2020
Data Min. Knowl. Discov., 2020
2019
Reducing inferior member community participation using uplift modeling: Evidence from a field experiment.
Decis. Support Syst., 2019
Churn Prediction with Sequential Data and Deep Neural Networks. A Comparative Analysis.
CoRR, 2019
2018
Misreading of consumer dissatisfaction in online product reviews: Writing style as a cause for bias.
Int. J. Inf. Manag., 2018
A framework for configuring collaborative filtering-based recommendations derived from purchase data.
Eur. J. Oper. Res., 2018
Eur. J. Oper. Res., 2018
A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees.
Eur. J. Oper. Res., 2018
2017
Knowl. Based Syst., 2017
A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry.
Decis. Support Syst., 2017
2015
Expert Syst. Appl., 2015
A Bayesian approach for incorporating expert opinions into decision support systems: A case study of online consumer-satisfaction detection.
Decis. Support Syst., 2015
Maximize What Matters: Predicting Customer Churn With Decision-Centric Ensemble Selection.
Proceedings of the 23rd European Conference on Information Systems, 2015
2011
A probability-mapping algorithm for calibrating the posterior probabilities: A direct marketing application.
Eur. J. Oper. Res., 2011
2010
Improved marketing decision making in a customer churn prediction context using generalized additive models.
Expert Syst. Appl., 2010
Comput. Stat. Data Anal., 2010
2009
Improving customer attrition prediction by integrating emotions from client/company interaction emails and evaluating multiple classifiers.
Expert Syst. Appl., 2009
2008
Integrating the voice of customers through call center emails into a decision support system for churn prediction.
Inf. Manag., 2008
Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques.
Expert Syst. Appl., 2008
Improving customer complaint management by automatic email classification using linguistic style features as predictors.
Decis. Support Syst., 2008