Anthony C. Constantinou

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 50

Top Topics

Causal Discovery

Bayesian Network Structure

Structure Learning

Top Venues

Expert Syst. Appl.

Int. J. Approx. Reason.

Publications

Kiattikun Chobtham, Anthony C. Constantinou
Tuning structure learning algorithms with out-of-sample and resampling strategies. Knowl. Inf. Syst. 66 (8) (2024)
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)
Sheresh Zahoor, Anthony C. Constantinou, Tim M. Curtis, Mohammed Hasanuzzaman
Investigating the validity of structure learning algorithms in identifying risk factors for intervention in patients with diabetes. CoRR (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)
Kiattikun Chobtham, Anthony C. Constantinou
Tuning structure learning algorithms with out-of-sample and resampling strategies. CoRR (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)
Yang Liu, Anthony C. Constantinou
Improving the imputation of missing data with Markov Blanket discovery. ICLR (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)
Yang Liu, Anthony C. Constantinou, Zhigao Guo
Improving Bayesian Network Structure Learning in the Presence of Measurement Error. J. Mach. Learn. Res. 23 (2022)
Yang Liu, Anthony C. Constantinou
Greedy structure learning from data that contain systematic missing values. Mach. Learn. 111 (10) (2022)
Zhigao Guo, Anthony C. Constantinou
Parallel Sampling for Efficient High-dimensional 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)
Kiattikun Chobtham, Anthony C. Constantinou
Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound. PGM (2022)
Kiattikun Chobtham, Anthony C. Constantinou
Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound. CoRR (2022)
Anthony C. Constantinou
The importance of temporal information in Bayesian network structure learning. Expert Syst. Appl. 164 (2021)
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, Norman E. Fenton, Martin Neil
How do some Bayesian Network machine learned graphs compare to causal knowledge? CoRR (2021)
Yang Liu, Anthony C. Constantinou
Greedy structure learning from data that contains systematic missing values. 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)
Anthony C. Constantinou
Learning Bayesian Networks that enable full propagation of evidence. CoRR (2020)
Kiattikun Chobtham, Anthony C. Constantinou
Bayesian network structure learning with causal effects in the presence of latent variables. CoRR (2020)
Anthony C. Constantinou
Learning Bayesian Networks with the Saiyan Algorithm. ACM Trans. Knowl. Discov. Data 14 (4) (2020)
Zhigao Guo, Anthony C. Constantinou
Approximate learning of high dimensional Bayesian network structures via pruning of Candidate Parent Sets. CoRR (2020)
Kiattikun Chobtham, Anthony C. Constantinou
Bayesian network structure learning with causal effects in the presence of latent variables. PGM (2020)
Anthony C. Constantinou
Learning Bayesian Networks That Enable Full Propagation of Evidence. IEEE Access 8 (2020)
Anthony C. Constantinou
Asian Handicap football betting with Rating-based Hybrid Bayesian Networks. CoRR (2020)
Norman E. Fenton, Martin Neil, Anthony C. Constantinou
The Book of Why: The New Science of Cause and Effect, Judea Pearl, Dana Mackenzie. Basic Books (2018). Artif. Intell. 284 (2020)
Yang Liu, Anthony C. Constantinou, Zhigao Guo
Improving Bayesian Network Structure Learning in the Presence of Measurement Error. CoRR (2020)
Zhigao Guo, Anthony C. Constantinou
Approximate Learning of High Dimensional Bayesian Network Structures via Pruning of Candidate Parent Sets. Entropy 22 (10) (2020)
Neville Kenneth Kitson, Anthony C. Constantinou
Learning Bayesian networks from demographic and health survey data. CoRR (2019)
Norman E. Fenton, Martin Neil, Anthony C. Constantinou
Simpson's Paradox and the implications for medical trials. CoRR (2019)
Anthony C. Constantinou
Dolores: a model that predicts football match outcomes from all over the world. Mach. Learn. 108 (1) (2019)
Anthony C. Constantinou
Evaluating structure learning algorithms with a balanced scoring function. CoRR (2019)
Barbaros Yet, Martin Neil, Norman E. Fenton, Anthony C. Constantinou, Eugene Dementiev
An improved method for solving Hybrid Influence Diagrams. Int. J. Approx. Reason. 95 (2018)
Barbaros Yet, Anthony C. Constantinou, Norman E. Fenton, Martin Neil
Expected Value of Partial Perfect Information in Hybrid Models Using Dynamic Discretization. IEEE Access 6 (2018)
Anthony C. Constantinou, Norman E. Fenton
Towards smart-data: Improving predictive accuracy in long-term football team performance. Knowl. Based Syst. 124 (2017)
Anthony C. Constantinou, Norman E. Fenton
Improving Predictive Accuracy Using Smart-Data rather than Big-Data: A Case Study of Soccer Teams' Evolving Performance. BMA@UAI (2016)
Barbaros Yet, Anthony C. Constantinou, Norman E. Fenton, Martin Neil, Eike Luedeling, Keith D. Shepherd
A Bayesian network framework for project cost, benefit and risk analysis with an agricultural development case study. Expert Syst. Appl. 60 (2016)
Norman E. Fenton, Martin Neil, David A. Lagnado, William Marsh, Barbaros Yet, Anthony C. Constantinou
How to model mutually exclusive events based on independent causal pathways in Bayesian network models. Knowl. Based Syst. 113 (2016)
Anthony C. Constantinou, Mark Freestone, William Marsh, Norman E. Fenton, Jeremy Coid
Risk assessment and risk management of violent reoffending among prisoners. Expert Syst. Appl. 42 (21) (2015)
Anthony C. Constantinou, Norman E. Fenton, Martin Neil
Profiting from an inefficient association football gambling market: Prediction, risk and uncertainty using Bayesian networks. Knowl. Based Syst. 50 (2013)
Anthony C. Constantinou, Norman E. Fenton, Martin Neil
pi-football: A Bayesian network model for forecasting Association Football match outcomes. Knowl. Based Syst. 36 (2012)