Neville Kenneth Kitson

Data Min. Knowl. Discov., July, 2024

Using GPT-4 to guide causal machine learning.

[BibT_eX]

[DOI]

Alessio Zanga

CoRR, 2024

Investigating potential causes of Sepsis with Bayesian network structure learning.

[BibT_eX]

[DOI]

Bruno Petrungaro

CoRR, 2024

2023

Open problems in causal structure learning: A case study of COVID-19 in the UK.

[BibT_eX]

[DOI]

Expert Syst. Appl., December, 2023

The impact of prior knowledge on causal structure learning.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2023

Hybrid Bayesian network discovery with latent variables by scoring multiple interventions.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2023

Causal discovery using dynamically requested knowledge.

[BibT_eX]

[DOI]

CoRR, 2023

A survey of Bayesian Network structure learning.

[BibT_eX]

[DOI]

Yang Liu

Artif. Intell. Rev., 2023

2022

Effective and efficient structure learning with pruning and model averaging strategies.

[BibT_eX]

[DOI]

Yang Liu

Int. J. Approx. Reason., 2022

2021

Learning Bayesian networks from demographic and health survey data.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2021

Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data.

[BibT_eX]

[DOI]

Yang Liu

Int. J. Approx. Reason., 2021

Information fusion between knowledge and data in Bayesian network structure learning.

[BibT_eX]

[DOI]