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Incorporating textual information in customer churn prediction models based on a convolutional neural network
Caigny, Arno de; Coussement, Kristof; De Bock, Koen W.; … - In: International journal of forecasting 36 (2020) 4, pp. 1563-1578
Persistent link: https://www.econbiz.de/10012547130
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Interpretable machine learning and explainable artificial intelligence
Topuz, Kazim (ed.); Bajaj, Akhilesh (ed.);  … - 2025
Persistent link: https://www.econbiz.de/10015397576
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How tech companies advance sustainability through artificial intelligence : developing and evaluating an AI x Sustainability strategy framework
Zechiel, Felix; Blaurock, Marah; Weber, Ellen; … - In: Industrial marketing management : the international … 119 (2024), pp. 75-89
Persistent link: https://www.econbiz.de/10014555793
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Extending business failure prediction models with textual website content using deep learning
Borchert, Philipp; Coussement, Kristof; Caigny, Arno de; … - In: European journal of operational research : EJOR 306 (2023) 1, pp. 348-357
Persistent link: https://www.econbiz.de/10014278009
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Explainable AI for operational research : a defining framework, methods, applications, and a research agenda
De Bock, Koen W.; Coussement, Kristof; Caigny, Arno de; … - In: European journal of operational research : EJOR 317 (2024) 2, pp. 249-272
Persistent link: https://www.econbiz.de/10014635783
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Industry-sensitive language modeling for business
Borchert, Philipp; Coussement, Kristof; De Weerdt, Jochen; … - In: European journal of operational research : EJOR 315 (2024) 2, pp. 691-702
Persistent link: https://www.econbiz.de/10014565263
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Incorporating usage data for B2B churn prediction modeling
Sanchez Ramirez, Juliana; Coussement, Kristof; Caigny, … - In: Industrial marketing management : the international … 120 (2024), pp. 191-205
Persistent link: https://www.econbiz.de/10015116908