Supporting organizational decisions on How to improve customer repurchase using multi-instance counterfactual explanations
A Artelt, A Gregoriades - Decision Support Systems, 2024 - Elsevier
Improving customer repurchase intention constitutes a key activity for maintaining
sustainable business performance. Returning customers provide many economic and other …
sustainable business performance. Returning customers provide many economic and other …
Explainable AI for enhanced decision-making
K Coussement, MZ Abedin, M Kraus… - Decision Support …, 2024 - Elsevier
This paper contextualizes explainable artificial intelligence (AI) for enhanced decision-
making and serves as an editorial for the corresponding special issue. AI is defined as the …
making and serves as an editorial for the corresponding special issue. AI is defined as the …
Explainable artificial intelligence in transport Logistics: Risk analysis for road accidents
Automobile traffic accidents represent a significant threat to global public safety, resulting in
numerous injuries and fatalities annually. This paper introduces a comprehensive …
numerous injuries and fatalities annually. This paper introduces a comprehensive …
[HTML][HTML] The many Shapley values for explainable artificial intelligence: A sensitivity analysis perspective
E Borgonovo, E Plischke, G Rabitti - European Journal of Operational …, 2024 - Elsevier
Predictive models are increasingly used for managerial and operational decision-making.
The use of complex machine learning algorithms, the growth in computing power, and the …
The use of complex machine learning algorithms, the growth in computing power, and the …
Injury severity prediction and exploration of behavior-cause relationships in automotive crashes using natural language processing and extreme gradient boosting
Y Shao, X Shi, Y Zhang, N Shiwakoti, Y Xu… - … Applications of Artificial …, 2024 - Elsevier
Addressing the global challenge of traffic crashes necessitates transcending traditional
statistical models, which often fail to fully capture the interactions between factors causing …
statistical models, which often fail to fully capture the interactions between factors causing …
[HTML][HTML] A multi-objective optimization framework for determining optimal chemotherapy dosing and treatment duration
Traditional randomized clinical trials are regarded as the gold standard for assessing the
efficacy of chemotherapy. However, this procedure has drawbacks such as high cost, time …
efficacy of chemotherapy. However, this procedure has drawbacks such as high cost, time …
Explainable analytics for operational research
This paper introduces the feature cluster on" Explainable AI for Operational Research". Its
main purpose is to provide summaries for the 15 contributing research papers that were …
main purpose is to provide summaries for the 15 contributing research papers that were …
[PDF][PDF] Healthcare Analytics
I Abdulrashid, D Delen, B Usman, MI Uzochukwu… - researchgate.net
Traditional randomized clinical trials are regarded as the gold standard for assessing the
efficacy of chemotherapy. However, this procedure has drawbacks such as high cost, time …
efficacy of chemotherapy. However, this procedure has drawbacks such as high cost, time …