|
|
An Overview of Multiple Classifier Systems Based on Generalized Additive Models
Koen W. de Bock
,
Kristof Coussement
,
Davy Cielen
Esteban Alfaro; Matías Gámez; Noelia García. Ensemble Classification Methods with Applications in R, Wiley, pp.175-197, 2018, 978-1-119-42109-2
Book sections
hal-01921681v1
|
Share
Gmail
Facebook
Twitter
LinkedIn
More
|
|
|
Targeting customers for profit: An ensemble learning framework to support marketing decision-making
Stefan Lessmann
,
Kristof Coussement
,
Koen W. de Bock
,
Johannes Haupt
Journal articles
hal-02275955v1
|
Share
Gmail
Facebook
Twitter
LinkedIn
More
|
|
|
Incorporating textual information in customer churn prediction models based on a convolutional neural network
Arno de Caigny
,
Kristof Coussement
,
Koen W. de Bock
,
Stefan Lessmann
Journal articles
hal-02275958v1
|
Share
Gmail
Facebook
Twitter
LinkedIn
More
|
|
|
A decision-analytic framework for interpretable recommendation systems with multiple input data sources: a case study for a European e-tailer
K. Coussement
,
Koen W. de Bock
,
S. Geuens
Journal articles
hal-03765630v1
|
Share
Gmail
Facebook
Twitter
LinkedIn
More
|
|
|
Spline-rule ensemble classifiers with structured sparsity regularization for interpretable customer churn modeling
Koen W. de Bock
,
Arno de Caigny
Journal articles
hal-03391564v1
|
Share
Gmail
Facebook
Twitter
LinkedIn
More
|
|
|
Cost-sensitive business failure prediction when misclassification costs are uncertain: A heterogeneous ensemble selection approach
Koen W. de Bock
,
Kristof Coussement
,
Stefan Lessmann
Journal articles
hal-02863245v1
|
Share
Gmail
Facebook
Twitter
LinkedIn
More
|