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Causal discovery in manufacturing
Algorithms for causal discovery have recently undergone rapid advances and increasingly draw on flexible nonparametric methods to process complex data. With these advances comes a need for adequate empirical validation of the causal relationships learned by different algorithms.openaire +1 more source
Causal Discovery with Attention-Based Convolutional Neural Networks
Machine Learning and Knowledge Extraction, 2019Meike Nauta +2 more
exaly
Disentangling causality: assumptions in causal discovery and inference
Artificial Intelligence Review, 2023exaly
A survey of causal discovery based on functional causal model
Engineering Applications of Artificial IntelligenceLi Liu
exaly
Causal Discovery from Temporal Data: An Overview and New Perspectives
ACM Computing SurveysDi Yao, Jingping Bi
exaly

