Greedy structure learning from data that contains systematic missing values. - Yang Liu 206; Anthony C. Constantinou (CoRR, 2021)

Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data. - Anthony C. Constantinou; Yang Liu 206; Kiattikun Chobtham; Zhigao Guo; Neville Kenneth Kitson (Int. J. Approx. Reason., 2021)

Effective and efficient structure learning with pruning and model averaging strategies. - Anthony C. Constantinou; Yang Liu 206; Neville Kenneth Kitson; Kiattikun Chobtham; Zhigao Guo (Int. J. Approx. Reason., 2022)

Improving Bayesian Network Structure Learning in the Presence of Measurement Error. - Yang Liu 206; Anthony C. Constantinou; Zhigao Guo (J. Mach. Learn. Res., 2022)

Greedy structure learning from data that contain systematic missing values. - Yang Liu 206; Anthony C. Constantinou (Mach. Learn., 2022)

SWSR: A Chinese dataset and lexicon for online sexism detection. - Aiqi Jiang; Xiaohan Yang; Yang Liu 206; Arkaitz Zubiaga (Online Soc. Networks Media, 2022)

Improving the imputation of missing data with Markov Blanket discovery. - Yang Liu 206; Anthony C. Constantinou (ICLR, 2023)

A survey of Bayesian Network structure learning. - Neville Kenneth Kitson; Anthony C. Constantinou; Zhigao Guo; Yang Liu 206; Kiattikun Chobtham (Artif. Intell. Rev., 2023)

Open problems in causal structure learning: A case study of COVID-19 in the UK. - Anthony C. Constantinou; Neville Kenneth Kitson; Yang Liu 206; Kiattikun Chobtham; Arian Hashemzadeh; Praharsh A. Nanavati; Rendani Mbuvha; Bruno Petrungaro (Expert Syst. Appl., 2023)