Kristof Coussement

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 35

Top Topics

Churn Prediction

Classification Algorithm

Top Venues

Decis. Support Syst.

Eur. J. Oper. Res.

Int. J. Inf. Manag.

Publications

Kristof Coussement, Mohammad Zoynul Abedin, Mathias Kraus, Sebastián Maldonado, Kazim Topuz
Explainable AI for enhanced decision-making. Decis. Support Syst. 184 (2024)
Stephanie Beyer Díaz, Kristof Coussement, Arno De Caigny, Luis Fernando Pérez, Stefan Creemers
Do the US president's tweets better predict oil prices? An empirical examination using long short-term memory networks. Int. J. Prod. Res. 62 (6) (2024)
Khaoula Idbenjra, Kristof Coussement, Arno De Caigny
Investigating the beneficial impact of segmentation-based modelling for credit scoring. Decis. Support Syst. 179 (2024)
Jason Weismueller, Richard L. Gruner, Paul Harrigan, Kristof Coussement, Shasha Wang
Information sharing and political polarisation on social media: The role of falsehood and partisanship. Inf. Syst. J. 34 (3) (2024)
Philipp Borchert, Kristof Coussement, Jochen De Weerdt, Arno De Caigny
Industry-sensitive language modeling for business. Eur. J. Oper. Res. 315 (2) (2024)
Mathias Kraus, Nico Hambauer, Kristina Müller, Pavlina Kröckel, Nalika Ulapane, Arno De Caigny, Koen W. De Bock, Kristof Coussement
Coupling Neural Networks Between Clusters for Better Personalized Care. HICSS (2024)
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, María Óskarsdóttir, Carla Vairetti, Wouter Verbeke, Richard Weber
Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda. Eur. J. Oper. Res. 317 (2) (2024)
C. Gary Mena, Kristof Coussement, Koen W. De Bock, Arno De Caigny, Stefan Lessmann
Exploiting time-varying RFM measures for customer churn prediction with deep neural networks. Ann. Oper. Res. 339 (1-2) (2024)
Koen W. De Bock, Kristof Coussement, Arno De Caigny
Explainable Analytics for Operational Research. Eur. J. Oper. Res. 317 (2) (2024)
Minh Phan, Arno De Caigny, Kristof Coussement
A decision support framework to incorporate textual data for early student dropout prediction in higher education. Decis. Support Syst. 168 (2023)
Philipp Borchert, Kristof Coussement, Arno De Caigny, Jochen De Weerdt
Extending business failure prediction models with textual website content using deep learning. Eur. J. Oper. Res. 306 (1) (2023)
Philipp Borchert, Jochen De Weerdt, Kristof Coussement, Arno De Caigny, Marie-Francine Moens
CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation. CoRR (2023)
Philipp Borchert, Jochen De Weerdt, Kristof Coussement, Arno De Caigny, Marie-Francine Moens
CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation. EMNLP (2023)
Kristof Coussement, Koen W. De Bock, Stijn Geuens
A decision-analytic framework for interpretable recommendation systems with multiple input data sources: a case study for a European e-tailer. Ann. Oper. Res. 315 (2) (2022)
Jason Weismueller, Paul Harrigan, Kristof Coussement, Tina Tessitore
What makes people share political content on social media? The role of emotion, authority and ideology. Comput. Hum. Behav. 129 (2022)
Piotr Sulikowski, Tomasz Zdziebko, Kristof Coussement, Krzysztof Dyczkowski, Krzysztof Kluza, Karina Sachpazidu-Wójcicka
Gaze and Event Tracking for Evaluation of Recommendation-Driven Purchase. Sensors 21 (4) (2021)
Paul Harrigan, Timothy M. Daly, Kristof Coussement, Julie A. Lee, Geoffrey N. Soutar, Uwana Evers
Identifying influencers on social media. Int. J. Inf. Manag. 56 (2021)
Kristof Coussement, Dries F. Benoit
Interpretable data science for decision making. Decis. Support Syst. 150 (2021)
Stefan Lessmann, Johannes Haupt, Kristof Coussement, Koen W. De Bock
Targeting customers for profit: An ensemble learning framework to support marketing decision-making. Inf. Sci. 557 (2021)
Kristof Coussement, Minh Phan, Arno De Caigny, Dries F. Benoit, Annelies Raes
Predicting student dropout in subscription-based online learning environments: The beneficial impact of the logit leaf model. Decis. Support Syst. 135 (2020)
Diego Olaya, Kristof Coussement, Wouter Verbeke
A survey and benchmarking study of multitreatment uplift modeling. Data Min. Knowl. Discov. 34 (2) (2020)
Koen W. De Bock, Kristof Coussement, Stefan Lessmann
Cost-sensitive business failure prediction when misclassification costs are uncertain: A heterogeneous ensemble selection approach. Eur. J. Oper. Res. 285 (2) (2020)
Nathalie T. M. Demoulin, Kristof Coussement
Acceptance of text-mining systems: The signaling role of information quality. Inf. Manag. 57 (1) (2020)
Arno De Caigny, Kristof Coussement, Koen W. De Bock
Leveraging fine-grained transaction data for customer life event predictions. Decis. Support Syst. 130 (2020)
C. Gary Mena, Arno De Caigny, Kristof Coussement, Koen W. De Bock, Stefan Lessmann
Churn Prediction with Sequential Data and Deep Neural Networks. A Comparative Analysis. CoRR (2019)
Steven Debaere, Floris Devriendt, Johanna Brunneder, Wouter Verbeke, Tom De Ruyck, Kristof Coussement
Reducing inferior member community participation using uplift modeling: Evidence from a field experiment. Decis. Support Syst. 123 (2019)
Michael Antioco, Kristof Coussement
Misreading of consumer dissatisfaction in online product reviews: Writing style as a cause for bias. Int. J. Inf. Manag. 38 (1) (2018)
Steven Debaere, Kristof Coussement, Tom De Ruyck
Multi-label classification of member participation in online innovation communities. Eur. J. Oper. Res. 270 (2) (2018)
Stijn Geuens, Kristof Coussement, Koen W. De Bock
A framework for configuring collaborative filtering-based recommendations derived from purchase data. Eur. J. Oper. Res. 265 (1) (2018)
Arno De Caigny, Kristof Coussement, Koen W. De Bock
A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees. Eur. J. Oper. Res. 269 (2) (2018)
Artem Bequé, Kristof Coussement, Ross W. Gayler, Stefan Lessmann
Approaches for credit scorecard calibration: An empirical analysis. Knowl. Based Syst. 134 (2017)
Kristof Coussement, Stefan Lessmann, Geert Verstraeten
A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry. Decis. Support Syst. 95 (2017)
Kristof Coussement, Paul Harrigan, Dries F. Benoit
Improving direct mail targeting through customer response modeling. Expert Syst. Appl. 42 (22) (2015)
Kristof Coussement, Dries F. Benoit, Michael Antioco
A Bayesian approach for incorporating expert opinions into decision support systems: A case study of online consumer-satisfaction detection. Decis. Support Syst. 79 (2015)
Annika Baumann, Stefan Lessmann, Kristof Coussement, Koen W. De Bock
Maximize What Matters: Predicting Customer Churn With Decision-Centric Ensemble Selection. ECIS (2015)
Kristof Coussement, Wouter Buckinx
A probability-mapping algorithm for calibrating the posterior probabilities: A direct marketing application. Eur. J. Oper. Res. 214 (3) (2011)
Kristof Coussement, Dries F. Benoit, Dirk Van den Poel
Improved marketing decision making in a customer churn prediction context using generalized additive models. Expert Syst. Appl. 37 (3) (2010)
Koen W. De Bock, Kristof Coussement, Dirk Van den Poel
Ensemble classification based on generalized additive models. Comput. Stat. Data Anal. 54 (6) (2010)
Kristof Coussement, Dirk Van den Poel
Improving customer attrition prediction by integrating emotions from client/company interaction emails and evaluating multiple classifiers. Expert Syst. Appl. 36 (3) (2009)
Kristof Coussement, Dirk Van den Poel
Integrating the voice of customers through call center emails into a decision support system for churn prediction. Inf. Manag. 45 (3) (2008)
Kristof Coussement, Dirk Van den Poel
Improving customer complaint management by automatic email classification using linguistic style features as predictors. Decis. Support Syst. 44 (4) (2008)
Kristof Coussement, Dirk Van den Poel
Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques. Expert Syst. Appl. 34 (1) (2008)