Anthony C. Constantinou

According to our database, Anthony C. Constantinou authored at least 43 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Investigating the validity of structure learning algorithms in identifying risk factors for intervention in patients with diabetes.

Sheresh Zahoor, Anthony C. Constantinou, Tim M. Curtis, Mohammed Hasanuzzaman

CoRR, 2024

2023

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

Anthony C. Constantinou, Neville Kenneth Kitson, Yang Liu, Kiattikun Chobtham, Arian Hashemzadeh, Praharsh A. Nanavati, Rendani Mbuvha, Bruno Petrungaro

Expert Syst. Appl., December, 2023

The impact of prior knowledge on causal structure learning.

Anthony C. Constantinou, Zhigao Guo, Neville Kenneth Kitson

Knowl. Inf. Syst., 2023

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

Kiattikun Chobtham, Anthony C. Constantinou, Neville Kenneth Kitson

Data Min. Knowl. Discov., 2023

Causal discovery using dynamically requested knowledge.

Neville Kenneth Kitson, Anthony C. Constantinou

CoRR, 2023

Tuning structure learning algorithms with out-of-sample and resampling strategies.

Kiattikun Chobtham, Anthony C. Constantinou

CoRR, 2023

A survey of Bayesian Network structure learning.

Neville Kenneth Kitson, Anthony C. Constantinou, Zhigao Guo, Yang Liu, Kiattikun Chobtham

Artif. Intell. Rev., 2023

Improving the imputation of missing data with Markov Blanket discovery.

Yang Liu, Anthony C. Constantinou

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Greedy structure learning from data that contain systematic missing values.

Yang Liu, Anthony C. Constantinou

Mach. Learn., 2022

Improving Bayesian Network Structure Learning in the Presence of Measurement Error.

Yang Liu, Anthony C. Constantinou, Zhigao Guo

J. Mach. Learn. Res., 2022

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

Anthony C. Constantinou, Yang Liu, Neville Kenneth Kitson, Kiattikun Chobtham, Zhigao Guo

Int. J. Approx. Reason., 2022

The Impact of Variable Ordering on Bayesian Network Structure Learning.

Neville Kenneth Kitson, Anthony C. Constantinou

CoRR, 2022

Parallel Sampling for Efficient High-dimensional Bayesian Network Structure Learning.

Zhigao Guo, Anthony C. Constantinou

CoRR, 2022

Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound.

Kiattikun Chobtham, Anthony C. Constantinou

Proceedings of the International Conference on Probabilistic Graphical Models, 2022

2021

Learning Bayesian networks from demographic and health survey data.

Neville Kenneth Kitson, Anthony C. Constantinou

J. Biomed. Informatics, 2021

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

Anthony C. Constantinou, Yang Liu, Kiattikun Chobtham, Zhigao Guo, Neville Kenneth Kitson

Int. J. Approx. Reason., 2021

The importance of temporal information in Bayesian network structure learning.

Anthony C. Constantinou

Expert Syst. Appl., 2021

Greedy structure learning from data that contains systematic missing values.

Yang Liu, Anthony C. Constantinou

CoRR, 2021

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

Anthony C. Constantinou, Zhigao Guo, Neville Kenneth Kitson

CoRR, 2021

How do some Bayesian Network machine learned graphs compare to causal knowledge?

Anthony C. Constantinou, Norman E. Fenton, Martin Neil

CoRR, 2021

2020

Learning Bayesian Networks with the Saiyan Algorithm.

Anthony C. Constantinou

ACM Trans. Knowl. Discov. Data, 2020

Approximate Learning of High Dimensional Bayesian Network Structures via Pruning of Candidate Parent Sets.

Zhigao Guo, Anthony C. Constantinou

Entropy, 2020

Asian Handicap football betting with Rating-based Hybrid Bayesian Networks.

Anthony C. Constantinou

CoRR, 2020

The Book of Why: The New Science of Cause and Effect, Judea Pearl, Dana Mackenzie. Basic Books (2018).

Norman E. Fenton, Martin Neil, Anthony C. Constantinou

Artif. Intell., 2020

Learning Bayesian Networks That Enable Full Propagation of Evidence.

Anthony C. Constantinou

IEEE Access, 2020

Bayesian network structure learning with causal effects in the presence of latent variables.

Kiattikun Chobtham, Anthony C. Constantinou

Proceedings of the International Conference on Probabilistic Graphical Models, 2020

2019

Dolores: a model that predicts football match outcomes from all over the world.

Anthony C. Constantinou

Mach. Learn., 2019

Simpson's Paradox and the implications for medical trials.

Norman E. Fenton, Martin Neil, Anthony C. Constantinou

CoRR, 2019

Evaluating structure learning algorithms with a balanced scoring function.

Anthony C. Constantinou

CoRR, 2019

2018

An improved method for solving Hybrid Influence Diagrams.

Barbaros Yet, Martin Neil, Norman E. Fenton, Anthony C. Constantinou, Eugene Dementiev

Int. J. Approx. Reason., 2018

Expected Value of Partial Perfect Information in Hybrid Models Using Dynamic Discretization.

Barbaros Yet, Anthony C. Constantinou, Norman E. Fenton, Martin Neil

IEEE Access, 2018

2017

Towards smart-data: Improving predictive accuracy in long-term football team performance.

Anthony C. Constantinou, Norman E. Fenton

Knowl. Based Syst., 2017

2016

How to model mutually exclusive events based on independent causal pathways in Bayesian network models.

Norman E. Fenton, Martin Neil, David A. Lagnado, William Marsh, Barbaros Yet, Anthony C. Constantinou

Knowl. Based Syst., 2016

A Bayesian network framework for project cost, benefit and risk analysis with an agricultural development case study.

Barbaros Yet, Anthony C. Constantinou, Norman E. Fenton, Martin Neil, Eike Luedeling, Keith D. Shepherd

Expert Syst. Appl., 2016

Integrating expert knowledge with data in Bayesian networks: Preserving data-driven expectations when the expert variables remain unobserved.

Anthony Costa Constantinou, Norman E. Fenton, Martin Neil

Expert Syst. Appl., 2016

Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences.

Anthony Costa Constantinou, Barbaros Yet, Norman E. Fenton, Martin Neil, William Marsh

Artif. Intell. Medicine, 2016

From complex questionnaire and interviewing data to intelligent Bayesian network models for medical decision support.

Anthony Costa Constantinou, Norman E. Fenton, William Marsh, Lukasz Radlinski

Artif. Intell. Medicine, 2016

Improving Predictive Accuracy Using Smart-Data rather than Big-Data: A Case Study of Soccer Teams' Evolving Performance.

Anthony C. Constantinou, Norman E. Fenton

Proceedings of the 13th UAI Bayesian Modeling Applications Workshop (BMAW 2016) co-located with the 32nd Conference on Uncertainty in Artificial Intelligence (UAI 2016), 2016

2015

Risk assessment and risk management of violent reoffending among prisoners.

Anthony C. Constantinou, Mark Freestone, William Marsh, Norman E. Fenton, Jeremy Coid

Expert Syst. Appl., 2015

Causal inference for violence risk management and decision support in forensic psychiatry.

Anthony Costa Constantinou, Mark Freestone, William Marsh, Jeremy Coid

Decis. Support Syst., 2015

2013

Bayesian networks for prediction, risk assessment and decision making in an inefficient Association Football gambling market.

Anthony Costa Constantinou

PhD thesis, 2013

Profiting from an inefficient association football gambling market: Prediction, risk and uncertainty using Bayesian networks.

Anthony C. Constantinou, Norman E. Fenton, Martin Neil

Knowl. Based Syst., 2013

2012

pi-football: A Bayesian network model for forecasting Association Football match outcomes.

Anthony C. Constantinou, Norman E. Fenton, Martin Neil

Knowl. Based Syst., 2012