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Arno De Caigny

Université de Lille
H-index:14
Citation Count:1,276
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Integrating e-commerce and social media metrics in prescriptive multichannel retail store efficiency analysis: A case study in do-it-yourself retailing

将电子商务和社交媒体指标整合到规范性多渠道零售店效率分析中:以DIY零售业为例

2026-09-010
PRE
Diversity and Inclusion in Social Media Communication: An Empirical Study of Engagement in the Football Context

社交媒体传播中的多元与包容:足球情境下的参与度实证研究

2026-07-100
OAAI
A decision support framework for estimating the impact of covariate shift in machine learning systems

机器学习系统中估计协变量偏移影响的一个决策支持框架

2026-02-080
PRE
Life event-based marketing using AI

基于生活事件的AI营销

2025-04-010
PRE
Investigating the impact of undersampling and bagging: an empirical investigation for customer attrition modeling
2025-02-110
PRE
Improving B2B customer churn through action rule mining

通过动作规则挖掘改善B2B客户流失

2025-02-011
PRE
Improved decision-making through life event prediction: A case study in the financial services industry
2024-12-010
PRE
Explainable Analytics for Operational Research
2024-09-010
PRE
Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda

用于运筹学的可解释AI: 定义框架,方法,应用和研究议程

2024-09-0126
OAAI
Incorporating usage data for B2B churn prediction modeling

结合使用数据进行B2B流失预测建模

2024-07-010
PRE
Industry-sensitive language modeling for business

面向业务的行业敏感语言建模

2024-06-012
OAAI
Hybrid black-box classification for customer churn prediction with segmented interpretability analysis

基于分段可解释性分析的混合黑盒分类客户流失预测

2024-06-013
PRE
Investigating the beneficial impact of segmentation-based modelling for credit scoring
2024-04-015
PRE
Do the US president's tweets better predict oil prices? An empirical examination using long short-term memory networks
2023-06-013
PRE
Extending business failure prediction models with textual website content using deep learning

使用深度学习扩展文本网站内容的业务失败预测模型

2023-04-0132
OAAI
Exploiting time-varying RFM measures for customer churn prediction with deep neural networks
2023-03-2114
OA
Uplift modeling and its implications for B2B customer churn prediction: A segmentation-based modeling approach
2021-11-0128
OA