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Response models based on bagging neural networks

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2014Benchmarking suppliers’ performance when some factors play the role of both inputs and outputs41 cited
2013Customer Churn Prediction in Telecommunication A Decade Review and Classification40 cited
2011Targeting direct marketing campaigns by neural networks38 cited
2013Response Modeling in Direct Marketing37 cited
2012A support vector machine (SVM) approach to imbalanced datasets of customer responses: comparison with other customer response models

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34 cited

2005Constructing response model using ensemble based on feature subset selection28 cited

2009Semi-Supervised Response Modeling25 cited

2011Improved response modeling based on clustering, under-sampling, and ensemble24 cited

2007A new approach to customer targeting under conditions of information shortage23 cited

2006Focusing on non-respondents: Response modeling with novelty detectors22 cited

2015Improving direct mail targeting through customer response modeling19 cited