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Extracting supply chain maps from news articles using deep neural networks.

, , , , and . Int. J. Prod. Res., 58 (17): 5320-5336 (2020)

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High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach., , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 4072-4081. PMLR, (2018)Topological robustness of the global automotive industry., , and . Logist. Res., 9 (1): 1:1-1:17 (2016)Trolley optimisation: An extension of bin packing to load PCB components., , , and . CoRR, (2022)Bayesian Autoencoders: Analysing and Fixing the Bernoulli likelihood for Out-of-Distribution Detection., , and . CoRR, (2021)A review of explainable artificial intelligence in supply chain management using neurosymbolic approaches., , , and . Int. J. Prod. Res., 62 (4): 1510-1540 (February 2024)Multi Agent System for Machine Learning Under Uncertainty in Cyber Physical Manufacturing System., and . CoRR, (2021)Supply Chain Digital Twin Framework Design: An Approach of Supply Chain Operations Reference Model and System of Systems., , , , and . CoRR, (2021)Resource Management in the Internet of Things: Clustering, Synchronisation and Software Agents., , , and . Architecting the Internet of Things, Springer, (2011)A generative neural network model for the quality prediction of work in progress products., , , , and . Appl. Soft Comput., (2019)Fair collaborative vehicle routing: A deep multi-agent reinforcement learning approach., , , , and . CoRR, (2023)