Neville Kenneth Kitson

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Empirical Validation

Structure Learning

Bayesian Network Structure Learning

Top Venues

Int. J. Approx. Reason.

Data Min. Knowl. Discov.

Artif. Intell. Rev.

Publications

Bruno Petrungaro, Neville Kenneth Kitson, Anthony C. Constantinou
Investigating potential causes of Sepsis with Bayesian network structure learning. CoRR (2024)
Neville Kenneth Kitson, Anthony C. Constantinou
The impact of variable ordering on Bayesian network structure learning. Data Min. Knowl. Discov. 38 (4) (2024)
Anthony C. Constantinou, Neville Kenneth Kitson, Alessio Zanga
Using GPT-4 to guide causal machine learning. CoRR (2024)
Anthony C. Constantinou, Neville Kenneth Kitson, Yang Liu, Kiattikun Chobtham, Arian Hashemzadeh, Praharsh A. Nanavati, Rendani Mbuvha, Bruno Petrungaro
Open problems in causal structure learning: A case study of COVID-19 in the UK. CoRR (2023)
Kiattikun Chobtham, Anthony C. Constantinou, Neville Kenneth Kitson
Hybrid Bayesian network discovery with latent variables by scoring multiple interventions. Data Min. Knowl. Discov. 37 (1) (2023)
Anthony C. Constantinou, Neville Kenneth Kitson, Yang Liu, Kiattikun Chobtham, Arian Hashemzadeh, Praharsh A. Nanavati, Rendani Mbuvha, Bruno Petrungaro
Open problems in causal structure learning: A case study of COVID-19 in the UK. Expert Syst. Appl. 234 (2023)
Neville Kenneth Kitson, Anthony C. Constantinou
Causal discovery using dynamically requested knowledge. CoRR (2023)
Anthony C. Constantinou, Zhigao Guo, Neville Kenneth Kitson
The impact of prior knowledge on causal structure learning. Knowl. Inf. Syst. 65 (8) (2023)
Neville Kenneth Kitson, Anthony C. Constantinou, Zhigao Guo, Yang Liu, Kiattikun Chobtham
A survey of Bayesian Network structure learning. Artif. Intell. Rev. 56 (8) (2023)
Neville Kenneth Kitson, Anthony C. Constantinou
The Impact of Variable Ordering on Bayesian Network Structure Learning. CoRR (2022)
Anthony C. Constantinou, Yang Liu, Neville Kenneth Kitson, Kiattikun Chobtham, Zhigao Guo
Effective and efficient structure learning with pruning and model averaging strategies. Int. J. Approx. Reason. 151 (2022)
Anthony C. Constantinou, Yang Liu, Neville Kenneth Kitson, Kiattikun Chobtham, Zhigao Guo
Effective and efficient structure learning with pruning and model averaging strategies. CoRR (2021)
Neville Kenneth Kitson, Anthony C. Constantinou, Zhigao Guo, Yang Liu, Kiattikun Chobtham
A survey of Bayesian Network structure learning. CoRR (2021)
Anthony C. Constantinou, Zhigao Guo, Neville Kenneth Kitson
Information fusion between knowledge and data in Bayesian network structure learning. CoRR (2021)
Neville Kenneth Kitson, Anthony C. Constantinou
Learning Bayesian networks from demographic and health survey data. J. Biomed. Informatics 113 (2021)
Kiattikun Chobtham, Anthony C. Constantinou, Neville Kenneth Kitson
Hybrid Bayesian network discovery with latent variables by scoring multiple interventions. CoRR (2021)
Anthony C. Constantinou, Yang Liu, Kiattikun Chobtham, Zhigao Guo, Neville Kenneth Kitson
Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data. Int. J. Approx. Reason. 131 (2021)
Anthony C. Constantinou, Yang Liu, Kiattikun Chobtham, Zhigao Guo, Neville Kenneth Kitson
Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data. CoRR (2020)
Neville Kenneth Kitson, Anthony C. Constantinou
Learning Bayesian networks from demographic and health survey data. CoRR (2019)