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Explainable Analytics for Operational Research

European journal of operational research, 2024-09, Vol.317 (2)

2024

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Hybrid black-box classification for customer churn prediction with segmented interpretability analysis

Decision Support Systems, 2024-06, Vol.181, p.114217, Article 114217

2024

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Explainable Analytics for Operational Research

European journal of operational research, 2024-09, Vol.317 (2), p.243-248

2024

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Exploiting time-varying RFM measures for customer churn prediction with deep neural networks

Annals of operations research, 2024-08, Vol.339 (1-2), p.765-787

2024

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A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees

European journal of operational research, 2018-09, Vol.269 (2), p.760-772

2018

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Predicting student dropout in subscription-based online learning environments: The beneficial impact of the logit leaf model

Decision Support Systems, 2020-08, Vol.135, p.113325, Article 113325

2020

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Incorporating textual information in customer churn prediction models based on a convolutional neural network

International journal of forecasting, 2020-10, Vol.36 (4), p.1563-1578

2020

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Uplift modeling and its implications for B2B customer churn prediction: A segmentation-based modeling approach

Industrial marketing management, 2021-11, Vol.99, p.28-39

2021

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A decision support framework to incorporate textual data for early student dropout prediction in higher education

Decision Support Systems, 2023-05, Vol.168 (C), p.113940, Article 113940

2023

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Innovation in customer scoring for the financial services industry

4OR, 2020-09, Vol.18 (3), p.381-382

De Caigny, Arno

2020

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Investigating the beneficial impact of segmentation-based modelling for credit scoring

Decision Support Systems, 2024-04, Vol.179, p.114170, Article 114170

2024

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Extending business failure prediction models with textual website content using deep learning

European journal of operational research, 2023-04, Vol.306 (1), p.348-357

2023

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Vrouwen in architectuur

Bulletin van de Kon. Ned. Oudheidkundige Bond, 2024-06, p.52-54

De Caigny, Sophie

2024

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Industry-sensitive language modeling for business

European journal of operational research, 2024-06, Vol.315 (2), p.691-702

2024

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Improved decision-making through life event prediction: A case study in the financial services industry

Decision Support Systems, 2024-12, Vol.187, p.114342, Article 114342

2024

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Spline-rule ensemble classifiers with structured sparsity regularization for interpretable customer churn modeling

Decision Support Systems, 2021-11, Vol.150, p.1, Article 113523

2021

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Does it pay off to communicate like your online community? Evaluating the effect of content and linguistic style similarity on B2B brand engagement

Industrial marketing management, 2022-10, Vol.106, p.292-307

2022

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Les tragédies de Sénèque à la fin du xviie siècle : métamorphose d’un modèle théâtral

Anabases, 2021, Vol.33, p.41-53

Caigny, Florence de

2021

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Leveraging fine-grained transaction data for customer life event predictions

Decision Support Systems, 2020-03, Vol.130, p.113232, Article 113232

2020

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Incorporating usage data for B2B churn prediction modeling

Industrial marketing management, 2024-07, Vol.120, p.191-205

2024

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Spline-rule ensemble classifiers with structured sparsity regularization for interpretable customer churn modeling

Decision Support Systems, 2021-11, Vol.150, p.113523, Article 113523

2021

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Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda

European journal of operational research, 2024-09, Vol.317 (2), p.249-272

2024

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Do the US president's tweets better predict oil prices? An empirical examination using long short-term memory networks

International journal of production research, 2024-03, Vol.62 (6), p.2158-2175

2024

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Gain-scheduled dynamic output feedback control for discrete-time LPV systems

International journal of robust and nonlinear control, 2012-03, Vol.22 (5), p.535-558

2012

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Interpolated Modeling of LPV Systems

IEEE transactions on control systems technology, 2014-11, Vol.22 (6), p.2232-2246

2014

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Explainable Analytics for Operational Research

Hybrid black-box classification for customer churn prediction with segmented interpretability analysis

Explainable Analytics for Operational Research

Exploiting time-varying RFM measures for customer churn prediction with deep neural networks

A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees

Predicting student dropout in subscription-based online learning environments: The beneficial impact of the logit leaf model

Incorporating textual information in customer churn prediction models based on a convolutional neural network

Uplift modeling and its implications for B2B customer churn prediction: A segmentation-based modeling approach

A decision support framework to incorporate textual data for early student dropout prediction in higher education

Innovation in customer scoring for the financial services industry

Investigating the beneficial impact of segmentation-based modelling for credit scoring

Extending business failure prediction models with textual website content using deep learning

Vrouwen in architectuur

Industry-sensitive language modeling for business

Improved decision-making through life event prediction: A case study in the financial services industry

Spline-rule ensemble classifiers with structured sparsity regularization for interpretable customer churn modeling

Does it pay off to communicate like your online community? Evaluating the effect of content and linguistic style similarity on B2B brand engagement

Les tragédies de Sénèque à la fin du xviie siècle : métamorphose d’un modèle théâtral

Leveraging fine-grained transaction data for customer life event predictions

Incorporating usage data for B2B churn prediction modeling

Spline-rule ensemble classifiers with structured sparsity regularization for interpretable customer churn modeling

Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda

Do the US president's tweets better predict oil prices? An empirical examination using long short-term memory networks

Gain-scheduled dynamic output feedback control for discrete-time LPV systems

Interpolated Modeling of LPV Systems

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