Anthony C. Constantinou

63 papers A* 1Journal 58Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Econometric vs. Causal Structure-Learning for Time-Series Policy Decisions: Evidence from the UK COVID-19 Policies. CoRR Bruno Petrungaro, Anthony C. Constantinou
2025	J	`jnl`	Causal discovery using dynamically requested knowledge. Knowl. Based Syst. Neville Kenneth Kitson, Anthony C. Constantinou
2025	J	`jnl`	Decoding the mechanisms of the Hattrick football manager game using Bayesian network structure learning for optimal decision-making. CoRR Anthony C. Constantinou, Nicholas Higgins, Neville Kenneth Kitson
2025	J	`jnl`	Federated causal discovery with missing data in a multicentric study on endometrial cancer. J. Biomed. Informatics Alessio Zanga, Alice Bernasconi, Peter J. F. Lucas, Hanny Pijnenborg, Casper Reijnen, Marco Scutari, Anthony C. Constantinou
2025	J	`jnl`	Investigating potential causes of Sepsis with Bayesian network structure learning. Appl. Intell. Bruno Petrungaro, Neville Kenneth Kitson, Anthony C. Constantinou
2025	J	`jnl`	Investigating the validity of structure learning algorithms in identifying risk factors for intervention in patients with diabetes. Knowl. Based Syst. Sheresh Zahoor, Anthony C. Constantinou, Tim M. Curtis, Mohammed Hasanuzzaman
2025	J	`jnl`	Stable Structure Learning with HC-Stable and Tabu-Stable Algorithms. CoRR Neville Kenneth Kitson, Anthony C. Constantinou
2025	J	`jnl`	Stable structure learning with HC-Stable and Tabu-Stable algorithms. Int. J. Approx. Reason. Neville Kenneth Kitson, Anthony C. Constantinou
2025	J	`jnl`	Using GPT-4 to guide causal machine learning. Expert Syst. Appl. Anthony C. Constantinou, Neville Kenneth Kitson, Alessio Zanga
2024	—	`conf`	Eliminating Variable Order Instability in Greedy Score-Based Structure Learning. PGM Neville Kenneth Kitson, Anthony C. Constantinou
2024	J	`jnl`	Investigating potential causes of Sepsis with Bayesian network structure learning. CoRR Bruno Petrungaro, Neville Kenneth Kitson, Anthony C. Constantinou
2024	J	`jnl`	Investigating the validity of structure learning algorithms in identifying risk factors for intervention in patients with diabetes. CoRR Sheresh Zahoor, Anthony C. Constantinou, Tim M. Curtis, Mohammed Hasanuzzaman
2024	J	`jnl`	The impact of variable ordering on Bayesian network structure learning. Data Min. Knowl. Discov. Neville Kenneth Kitson, Anthony C. Constantinou
2024	J	`jnl`	Tuning structure learning algorithms with out-of-sample and resampling strategies. Knowl. Inf. Syst. Kiattikun Chobtham, Anthony C. Constantinou
2024	J	`jnl`	Using GPT-4 to guide causal machine learning. CoRR Anthony C. Constantinou, Neville Kenneth Kitson, Alessio Zanga
2023	J	`jnl`	A survey of Bayesian Network structure learning. Artif. Intell. Rev. Neville Kenneth Kitson, Anthony C. Constantinou, Zhigao Guo, Yang Liu, Kiattikun Chobtham
2023	J	`jnl`	Causal discovery using dynamically requested knowledge. CoRR Neville Kenneth Kitson, Anthony C. Constantinou
2023	J	`jnl`	Hybrid Bayesian network discovery with latent variables by scoring multiple interventions. Data Min. Knowl. Discov. Kiattikun Chobtham, Anthony C. Constantinou, Neville Kenneth Kitson
2023	A*	`conf`	Improving the imputation of missing data with Markov Blanket discovery. ICLR Yang Liu, Anthony C. Constantinou
2023	J	`jnl`	Open problems in causal structure learning: A case study of COVID-19 in the UK. CoRR Anthony C. Constantinou, Neville Kenneth Kitson, Yang Liu, Kiattikun Chobtham, Arian Hashemzadeh, Praharsh A. Nanavati, Rendani Mbuvha, Bruno Petrungaro
2023	J	`jnl`	Open problems in causal structure learning: A case study of COVID-19 in the UK. Expert Syst. Appl. Anthony C. Constantinou, Neville Kenneth Kitson, Yang Liu, Kiattikun Chobtham, Arian Hashemzadeh, Praharsh A. Nanavati, Rendani Mbuvha, Bruno Petrungaro
2023	J	`jnl`	The impact of prior knowledge on causal structure learning. Knowl. Inf. Syst. Anthony C. Constantinou, Zhigao Guo, Neville Kenneth Kitson
2023	J	`jnl`	Tuning structure learning algorithms with out-of-sample and resampling strategies. CoRR Kiattikun Chobtham, Anthony C. Constantinou
2022	—	`conf`	Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound. PGM Kiattikun Chobtham, Anthony C. Constantinou
2022	J	`jnl`	Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound. CoRR Kiattikun Chobtham, Anthony C. Constantinou
2022	J	`jnl`	Effective and efficient structure learning with pruning and model averaging strategies. Int. J. Approx. Reason. Anthony C. Constantinou, Yang Liu, Neville Kenneth Kitson, Kiattikun Chobtham, Zhigao Guo
2022	J	`jnl`	Greedy structure learning from data that contain systematic missing values. Mach. Learn. Yang Liu, Anthony C. Constantinou
2022	J	`jnl`	Improving Bayesian Network Structure Learning in the Presence of Measurement Error. J. Mach. Learn. Res. Yang Liu, Anthony C. Constantinou, Zhigao Guo
2022	J	`jnl`	Parallel Sampling for Efficient High-dimensional Bayesian Network Structure Learning. CoRR Zhigao Guo, Anthony C. Constantinou
2022	J	`jnl`	The Impact of Variable Ordering on Bayesian Network Structure Learning. CoRR Neville Kenneth Kitson, Anthony C. Constantinou
2021	J	`jnl`	A survey of Bayesian Network structure learning. CoRR Neville Kenneth Kitson, Anthony C. Constantinou, Zhigao Guo, Yang Liu, Kiattikun Chobtham
2021	J	`jnl`	Effective and efficient structure learning with pruning and model averaging strategies. CoRR Anthony C. Constantinou, Yang Liu, Neville Kenneth Kitson, Kiattikun Chobtham, Zhigao Guo
2021	J	`jnl`	Greedy structure learning from data that contains systematic missing values. CoRR Yang Liu, Anthony C. Constantinou
2021	J	`jnl`	How do some Bayesian Network machine learned graphs compare to causal knowledge? CoRR Anthony C. Constantinou, Norman E. Fenton, Martin Neil
2021	J	`jnl`	Hybrid Bayesian network discovery with latent variables by scoring multiple interventions. CoRR Kiattikun Chobtham, Anthony C. Constantinou, Neville Kenneth Kitson
2021	J	`jnl`	Information fusion between knowledge and data in Bayesian network structure learning. CoRR Anthony C. Constantinou, Zhigao Guo, Neville Kenneth Kitson
2021	J	`jnl`	Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data. Int. J. Approx. Reason. Anthony C. Constantinou, Yang Liu, Kiattikun Chobtham, Zhigao Guo, Neville Kenneth Kitson
2021	J	`jnl`	Learning Bayesian networks from demographic and health survey data. J. Biomed. Informatics Neville Kenneth Kitson, Anthony C. Constantinou
2021	J	`jnl`	The importance of temporal information in Bayesian network structure learning. Expert Syst. Appl. Anthony C. Constantinou
2020	J	`jnl`	Approximate Learning of High Dimensional Bayesian Network Structures via Pruning of Candidate Parent Sets. Entropy Zhigao Guo, Anthony C. Constantinou
2020	J	`jnl`	Approximate learning of high dimensional Bayesian network structures via pruning of Candidate Parent Sets. CoRR Zhigao Guo, Anthony C. Constantinou
2020	J	`jnl`	Asian Handicap football betting with Rating-based Hybrid Bayesian Networks. CoRR Anthony C. Constantinou
2020	—	`conf`	Bayesian network structure learning with causal effects in the presence of latent variables. PGM Kiattikun Chobtham, Anthony C. Constantinou
2020	J	`jnl`	Bayesian network structure learning with causal effects in the presence of latent variables. CoRR Kiattikun Chobtham, Anthony C. Constantinou
2020	J	`jnl`	Improving Bayesian Network Structure Learning in the Presence of Measurement Error. CoRR Yang Liu, Anthony C. Constantinou, Zhigao Guo
2020	J	`jnl`	Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data. CoRR Anthony C. Constantinou, Yang Liu, Kiattikun Chobtham, Zhigao Guo, Neville Kenneth Kitson
2020	J	`jnl`	Learning Bayesian Networks That Enable Full Propagation of Evidence. IEEE Access Anthony C. Constantinou
2020	J	`jnl`	Learning Bayesian Networks that enable full propagation of evidence. CoRR Anthony C. Constantinou
2020	J	`jnl`	Learning Bayesian Networks with the Saiyan Algorithm. ACM Trans. Knowl. Discov. Data Anthony C. Constantinou
2020	J	`jnl`	The Book of Why: The New Science of Cause and Effect, Judea Pearl, Dana Mackenzie. Basic Books (2018). Artif. Intell. Norman E. Fenton, Martin Neil, Anthony C. Constantinou
2019	J	`jnl`	Dolores: a model that predicts football match outcomes from all over the world. Mach. Learn. Anthony C. Constantinou
2019	J	`jnl`	Evaluating structure learning algorithms with a balanced scoring function. CoRR Anthony C. Constantinou
2019	J	`jnl`	Learning Bayesian networks from demographic and health survey data. CoRR Neville Kenneth Kitson, Anthony C. Constantinou
2019	J	`jnl`	Simpson's Paradox and the implications for medical trials. CoRR Norman E. Fenton, Martin Neil, Anthony C. Constantinou
2018	J	`jnl`	An improved method for solving Hybrid Influence Diagrams. Int. J. Approx. Reason. Barbaros Yet, Martin Neil, Norman E. Fenton, Anthony C. Constantinou, Eugene Dementiev
2018	J	`jnl`	Expected Value of Partial Perfect Information in Hybrid Models Using Dynamic Discretization. IEEE Access Barbaros Yet, Anthony C. Constantinou, Norman E. Fenton, Martin Neil
2017	J	`jnl`	Towards smart-data: Improving predictive accuracy in long-term football team performance. Knowl. Based Syst. Anthony C. Constantinou, Norman E. Fenton
2016	J	`jnl`	A Bayesian network framework for project cost, benefit and risk analysis with an agricultural development case study. Expert Syst. Appl. Barbaros Yet, Anthony C. Constantinou, Norman E. Fenton, Martin Neil, Eike Luedeling, Keith D. Shepherd
2016	J	`jnl`	How to model mutually exclusive events based on independent causal pathways in Bayesian network models. Knowl. Based Syst. Norman E. Fenton, Martin Neil, David A. Lagnado, William Marsh, Barbaros Yet, Anthony C. Constantinou
2016	—	`conf`	Improving Predictive Accuracy Using Smart-Data rather than Big-Data: A Case Study of Soccer Teams' Evolving Performance. BMA@UAI Anthony C. Constantinou, Norman E. Fenton
2015	J	`jnl`	Risk assessment and risk management of violent reoffending among prisoners. Expert Syst. Appl. Anthony C. Constantinou, Mark Freestone, William Marsh, Norman E. Fenton, Jeremy Coid
2013	J	`jnl`	Profiting from an inefficient association football gambling market: Prediction, risk and uncertainty using Bayesian networks. Knowl. Based Syst. Anthony C. Constantinou, Norman E. Fenton, Martin Neil
2012	J	`jnl`	pi-football: A Bayesian network model for forecasting Association Football match outcomes. Knowl. Based Syst. Anthony C. Constantinou, Norman E. Fenton, Martin Neil