Kristof Coussement

Orcid: 0000-0003-1346-9425

Affiliations:
  • University of Lille, IESEG School of Management, France


According to our database1, Kristof Coussement authored at least 42 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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

Industry-sensitive language modeling for business.
Eur. J. Oper. Res., 2024

Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda.
Eur. J. Oper. Res., 2024

Explainable Analytics for Operational Research.
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

Explainable AI for enhanced decision-making.
Decis. Support Syst., 2024

Coupling Neural Networks Between Clusters for Better Personalized Care.
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
Gaze and Event Tracking for Evaluation of Recommendation-Driven Purchase.
Sensors, 2021

Targeting customers for profit: An ensemble learning framework to support marketing decision-making.
Inf. Sci., 2021

Identifying influencers on social media.
Int. J. Inf. Manag., 2021

Interpretable data science for decision making.
Decis. Support Syst., 2021

2020
Acceptance of text-mining systems: The signaling role of information quality.
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

Leveraging fine-grained transaction data for customer life event predictions.
Decis. Support Syst., 2020

A survey and benchmarking study of multitreatment uplift modeling.
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

Multi-label classification of member participation in online innovation communities.
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
Approaches for credit scorecard calibration: An empirical analysis.
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
Improving direct mail targeting through customer response modeling.
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

Ensemble classification based on generalized additive models.
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


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