Improving customer complaint management by automatic email classification using linguistic style features as predictors. - Kristof Coussement; Dirk Van den Poel (Decis. Support Syst., 2008)

Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques. - Kristof Coussement; Dirk Van den Poel (Expert Syst. Appl., 2008)

Integrating the voice of customers through call center emails into a decision support system for churn prediction. - Kristof Coussement; Dirk Van den Poel (Inf. Manag., 2008)

Improving customer attrition prediction by integrating emotions from client/company interaction emails and evaluating multiple classifiers. - Kristof Coussement; Dirk Van den Poel (Expert Syst. Appl., 2009)

Ensemble classification based on generalized additive models. - Koen W. De Bock; Kristof Coussement; Dirk Van den Poel (Comput. Stat. Data Anal., 2010)

Improved marketing decision making in a customer churn prediction context using generalized additive models. - Kristof Coussement; Dries F. Benoit; Dirk Van den Poel (Expert Syst. Appl., 2010)

A probability-mapping algorithm for calibrating the posterior probabilities: A direct marketing application. - Kristof Coussement; Wouter Buckinx (Eur. J. Oper. Res., 2011)

Maximize What Matters: Predicting Customer Churn With Decision-Centric Ensemble Selection. - Annika Baumann; Stefan Lessmann; Kristof Coussement; Koen W. De Bock (ECIS, 2015)

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 (Decis. Support Syst., 2015)

Improving direct mail targeting through customer response modeling. - Kristof Coussement; Paul Harrigan; Dries F. Benoit (Expert Syst. Appl., 2015)

A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry. - Kristof Coussement; Stefan Lessmann; Geert Verstraeten (Decis. Support Syst., 2017)

Approaches for credit scorecard calibration: An empirical analysis. - Artem Bequé; Kristof Coussement; Ross W. Gayler; Stefan Lessmann (Knowl. Based Syst., 2017)

A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees. - Arno De Caigny; Kristof Coussement; Koen W. De Bock (Eur. J. Oper. Res., 2018)

Multi-label classification of member participation in online innovation communities. - Steven Debaere; Kristof Coussement; Tom De Ruyck (Eur. J. Oper. Res., 2018)

A framework for configuring collaborative filtering-based recommendations derived from purchase data. - Stijn Geuens; Kristof Coussement; Koen W. De Bock (Eur. J. Oper. Res., 2018)

Misreading of consumer dissatisfaction in online product reviews: Writing style as a cause for bias. - Michael Antioco; Kristof Coussement (Int. J. Inf. Manag., 2018)

Churn Prediction with Sequential Data and Deep Neural Networks. A Comparative Analysis. - C. Gary Mena; Arno De Caigny; Kristof Coussement; Koen W. De Bock; Stefan Lessmann (CoRR, 2019)

Reducing inferior member community participation using uplift modeling: Evidence from a field experiment. - Steven Debaere; Floris Devriendt; Johanna Brunneder; Wouter Verbeke; Tom De Ruyck; Kristof Coussement (Decis. Support Syst., 2019)

A survey and benchmarking study of multitreatment uplift modeling. - Diego Olaya; Kristof Coussement; Wouter Verbeke (Data Min. Knowl. Discov., 2020)

Leveraging fine-grained transaction data for customer life event predictions. - Arno De Caigny; Kristof Coussement; Koen W. De Bock (Decis. Support Syst., 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 F. Benoit; Annelies Raes (Decis. Support Syst., 2020)

Cost-sensitive business failure prediction when misclassification costs are uncertain: A heterogeneous ensemble selection approach. - Koen W. De Bock; Kristof Coussement; Stefan Lessmann (Eur. J. Oper. Res., 2020)

Acceptance of text-mining systems: The signaling role of information quality. - Nathalie T. M. Demoulin; Kristof Coussement (Inf. Manag., 2020)

Interpretable data science for decision making. - Kristof Coussement; Dries F. Benoit (Decis. Support Syst., 2021)

Identifying influencers on social media. - Paul Harrigan; Timothy M. Daly; Kristof Coussement; Julie A. Lee; Geoffrey N. Soutar; Uwana Evers (Int. J. Inf. Manag., 2021)

Targeting customers for profit: An ensemble learning framework to support marketing decision-making. - Stefan Lessmann; Johannes Haupt; Kristof Coussement; Koen W. De Bock (Inf. Sci., 2021)

Gaze and Event Tracking for Evaluation of Recommendation-Driven Purchase. - Piotr Sulikowski; Tomasz Zdziebko; Kristof Coussement; Krzysztof Dyczkowski; Krzysztof Kluza; Karina Sachpazidu-Wójcicka (Sensors, 2021)

A decision-analytic framework for interpretable recommendation systems with multiple input data sources: a case study for a European e-tailer. - Kristof Coussement; Koen W. De Bock; Stijn Geuens (Ann. Oper. Res., 2022)

What makes people share political content on social media? The role of emotion, authority and ideology. - Jason Weismueller; Paul Harrigan; Kristof Coussement; Tina Tessitore (Comput. Hum. Behav., 2022)

CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation. - Philipp Borchert; Jochen De Weerdt; Kristof Coussement; Arno De Caigny; Marie-Francine Moens (EMNLP, 2023)

Extending business failure prediction models with textual website content using deep learning. - Philipp Borchert; Kristof Coussement; Arno De Caigny; Jochen De Weerdt (Eur. J. Oper. Res., 2023)

A decision support framework to incorporate textual data for early student dropout prediction in higher education. - Minh Phan; Arno De Caigny; Kristof Coussement (Decis. Support Syst., 2023)

Coupling Neural Networks Between Clusters for Better Personalized Care. - Mathias Kraus; Nico Hambauer; Kristina Müller; Pavlina Kröckel; Nalika Ulapane; Arno De Caigny; Koen W. De Bock; Kristof Coussement (HICSS, 2024)

Explainable AI for enhanced decision-making. - Kristof Coussement; Mohammad Zoynul Abedin; Mathias Kraus; Sebastián Maldonado; Kazim Topuz (Decis. Support Syst., 2024)

Improved decision-making through life event prediction: A case study in the financial services industry. - Stephanie Beyer Díaz; Kristof Coussement; Arno De Caigny (Decis. Support Syst., 2024)

Investigating the beneficial impact of segmentation-based modelling for credit scoring. - Khaoula Idbenjra; Kristof Coussement; Arno De Caigny (Decis. Support Syst., 2024)

Explainable Analytics for Operational Research. - Koen W. De Bock; Kristof Coussement; Arno De Caigny (Eur. J. Oper. Res., 2024)

Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda. - Koen W. De Bock; Kristof Coussement; Arno De Caigny; Roman Slowinski; Bart Baesens; Robert N. Boute; Tsan-Ming Choi; Dursun Delen; Mathias Kraus; Stefan Lessmann; Sebastián Maldonado; David Martens; et al. (Eur. J. Oper. Res., 2024)

Industry-sensitive language modeling for business. - Philipp Borchert; Kristof Coussement; Jochen De Weerdt; Arno De Caigny (Eur. J. Oper. Res., 2024)

Do the US president's tweets better predict oil prices? An empirical examination using long short-term memory networks. - Stephanie Beyer Díaz; Kristof Coussement; Arno De Caigny; Luis Fernando Pérez; Stefan Creemers (Int. J. Prod. Res., 2024)

Information sharing and political polarisation on social media: The role of falsehood and partisanship. - Jason Weismueller; Richard L. Gruner; Paul Harrigan; Kristof Coussement; Shasha Wang (Inf. Syst. J., 2024)

Exploiting time-varying RFM measures for customer churn prediction with deep neural networks. - C. Gary Mena; Kristof Coussement; Koen W. De Bock; Arno De Caigny; Stefan Lessmann (Ann. Oper. Res., 2024)

Bounded Individualized Treatment Effect: A Novel Approach for Uplift Modeling. - Catalina Sánchez; Carla Vairetti; Kristof Coussement; Sebastián Maldonado (IEEE Access, 2025)

A decision support framework for misstatement identification in financial reporting: A hybrid tree-augmented Bayesian belief approach. - Serhat Simsek; Ali Dag; Kristof Coussement; Eyyüb Y. Kibis; Abdullah Asilkalkan; Srinivasan Ragothaman (Decis. Support Syst., 2025)

From collaborative filtering to deep learning: Advancing recommender systems with longitudinal data in the financial services industry. - Stephanie Beyer Díaz; Kristof Coussement; Arno De Caigny (Eur. J. Oper. Res., 2025)

Investigating the impact of undersampling and bagging: an empirical investigation for customer attrition modeling. - Arno De Caigny; Kristof Coussement; Matthijs Meire; Steven Hoornaert (Ann. Oper. Res., 2025)

Interpretable machine learning and explainable artificial intelligence. - Kazim Topuz; Akhilesh Bajaj; Kristof Coussement; Timothy L. Urban (Ann. Oper. Res., 2025)