Publications: Dr Anthony Constantinou
Kitson NEVILLE, Constantinou A
(
2024
)
.
Eliminating Variable Order Instability in Greedy Score-Based Structure Learning
.
Proceedings of Machine Learning Research
.
Conference:
Probabilistic Graphical Models
(
The Netherlands
)
Kitson NK, Constantinou AC
(
2024
)
.
The impact of variable ordering on Bayesian network structure learning
.
Data Mining and Knowledge Discovery1
-
25
.
Chobtham K, Constantinou AC
(
2024
)
.
Tuning structure learning algorithms with out-of-sample and resampling strategies
.
Knowledge and Information Systems
vol.
66
,
(
8
)
4927
-
4955
.
Petrungaro B, Kitson NK, Constantinou AC
(
2024
)
.
Investigating potential causes of Sepsis with Bayesian network structure learning
.
CoRR
vol.
abs/2406.09207
,
Constantinou AC, Kitson NK, Zanga A
(
2024
)
.
Using GPT-4 to guide causal machine learning
.
Expert Systems with Applications
Constantinou A, Kitson NK, Liu Y, Chobtham K, Amirkhizi AH, Nanavati PA, Mbuvha R, Petrungaro B
(
2023
)
.
Open problems in causal structure learning: A case study of COVID-19 in the UK
.
Expert Systems with Applications
vol.
234
,
Okagbue HI, Constantinou AC, Iyiola TP, Adedotun AF
(
2023
)
.
STATISTICAL ANALYSIS OF REGIONAL DISTRIBUTION OF FOOTBALL CLUBS IN ENGLISH TOP FLIGHT LEAGUE
.
Advances and applications in statistics
vol.
87
,
(
1
)
43
-
60
.
Constantinou AC, Guo Z, Kitson NK
(
2023
)
.
The impact of prior knowledge on causal structure learning
.
Knowledge and Information Systems
vol.
65
,
(
8
)
3385
-
3434
.
Liu Y, Constantinou A
(
2023
)
.
Improving the imputation of missing data with Markov Blanket discovery
.
Conference:
International Conference on Learning Representations (ICLR-2023)
Kitson NK, Constantinou AC, Guo Z, Liu Y, Chobtham K
(
2023
)
.
A survey of Bayesian Network structure learning
.
Artificial Intelligence Review
Liu Y, Constantinou AC, Guo Z
(
2022
)
.
Improving Bayesian Network Structure Learning in the Presence of Measurement Error
.
Journal of Machine Learning Research
Chobtham K, Constantinou AC, Kitson NK
(
2022
)
.
Hybrid Bayesian network discovery with latent variables by scoring multiple interventions
.
Data Mining and Knowledge Discovery
Constantinou AC, Liu Y, Kitson NK, Chobtham K, Guo Z
(
2022
)
.
Effective and efficient structure learning with pruning and model averaging strategies
.
International Journal of Approximate Reasoning: Uncertainty in Intelligent Systems
vol.
151
,
292
-
321
.
Constantinou AC
(
2022
)
.
Asian Handicap football betting with Rating-based Hybrid Bayesian Networks
.
Journal of Sports Analytics
vol.
abs/2003.09384
,
Constantinou AC
(
2022
)
.
Investigating the efficiency of the Asian handicap football betting market with ratings and Bayesian networks
.
Journal of Sports Analytics
vol.
8
,
(
3
)
171
-
193
.
Liu Y, Constantinou AC
(
2022
)
.
Greedy structure learning from data that contain systematic missing values
.
Machine Learning
Chobtham K, Constantinou AC
(
2022
)
.
Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound
.
Proceedings of Machine Learning Research
.
vol.
186
,
121
-
132
.
Liu Y, Constantinou AC
(
2022
)
.
Greedy structure learning from data that contain systematic missing values
.
Mach. Learn.
vol.
111
,
Article
10
,
3867
-
3896
.
Constantinou AC, Liu Y, Chobtham K, Guo Z, Kitson NK
(
2021
)
.
Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data
.
International Journal of Approximate Reasoning
vol.
abs/2005.09020
,
Constantinou AC, Fenton NE, Neil M
(
2021
)
.
How do some Bayesian Network machine learned graphs compare to causal knowledge?
.
CoRR
vol.
abs/2101.10461
,
Constantinou AC, Guo Z, Kitson NK
(
2021
)
.
Information fusion between knowledge and data in Bayesian network structure learning
.
CoRR
vol.
abs/2102.00473
,
Kitson NK, Constantinou AC
(
2020
)
.
Learning Bayesian networks from demographic and health survey data
.
Journal of Biomedical Informatics
Guo Z, Constantinou AC
(
2020
)
.
Approximate learning of high dimensional Bayesian network structures via pruning of Candidate Parent Sets
.
Entropy
vol.
22
,
(
10
)
Article
1142
,
Chobtham K, Constantinou AC
(
2020
)
.
Bayesian network structure learning with causal effects in the presence of latent variables
.
In Proceedings of the 10th International Conference on Probabilistic Graphical Models (PGM-2020), Aalborg, Denmark
Constantinou A
(
2020
)
.
The importance of temporal information in Bayesian network structure learning
.
Expert Systems with Applications
vol.
164
,
Constantinou AC
(
2020
)
.
Learning Bayesian Networks That Enable Full Propagation of Evidence
.
IEEE Access
vol.
8
,
124845
-
124856
.
Fenton N, Neil M, Constantinou A
(
2020
)
.
The Book of Why: The New Science of Cause and Effect, Judea Pearl, Dana Mackenzie, Basic Books (2018)
.
Artificial Intelligence
vol.
284
,
Article
103286
,
103286
-
103286
.
Constantinou A
(
2020
)
.
Learning Bayesian Networks with the Saiyan algorithm
.
ACM Transactions on Knowledge Discovery from Data
Constantinou AC
(
2020
)
.
Learning Bayesian Networks That Enable Full Propagation of Evidence
.
IEEE Access
vol.
8
,
124845
-
124856
.
Constantinou AC
(
2020
)
.
Learning Bayesian Networks with the Saiyan Algorithm
.
ACM Trans. Knowl. Discov. Data
vol.
14
,
Article
4
,
44:1
-
44:1
.
Fenton NE, Neil M, Constantinou AC
(
2019
)
.
Simpson's Paradox and the implications for medical trials
.
CoRR
vol.
abs/1912.01422
,
CONSTANTINOU AC
(
2018
)
.
Dolores: A model that predicts football match outcomes from all over the world
.
Machine Learning
CONSTANTINOU AC, FENTON N
(
2018
)
.
Things to know about Bayesian networks
.
Significance
YET B, NEIL M, FENTON N, CONSTANTINOU AC, DEMENTIEV E
(
2018
)
.
An Improved Method for Solving Hybrid Influence Diagrams
.
International Journal of Approximate Reasoning
Yet B, Constantinou A, Fenton N, Neil M
(
2018
)
.
Expected Value of Partial Perfect Information in Hybrid Models Using Dynamic Discretization
.
IEEE Access
vol.
6
,
7802
-
7817
.
CONSTANTINOU AC, Fenton N
(
2017
)
.
The future of the London Buy-To-Let property market: Simulation with temporal Bayesian Networks
.
PLoS ONE
vol.
12
,
(
6
)
CONSTANTINOU AC, Fenton NORMAN
(
2017
)
.
Towards Smart-Data: Improving predictive accuracy in long-term football team performance
.
Knowledge-Based Systems
Coid JW, Ullrich S, Kallis C, Freestone M, Gonzalez R, Bui L, Igoumenou A, Constantinou A et al.
(
2016
)
.
Improving risk management for violence in mental health services: a multimethods approach
.
Programme Grants for Applied Research
vol.
4
,
(
16
)
1
-
408
.
Fenton N, Neil M, Lagnado D, William M, Yet B, CONSTANTINOU AC
(
2016
)
.
How to model mutually exclusive events based on independent causal pathways in Bayesian network models
.
Knowledge-Based Systems
Yet B, CONSTANTINOU AC, Fenton N, Neil M, Luedeling E, Shepherd K
(
2016
)
.
A Bayesian Network Framework for Project Cost, Benefit and Risk Analysis with an Agricultural Development Case Study
.
Expert Systems with Applications
CONSTANTINOU AC, FENTON N, NEIL M
(
2016
)
.
Integrating expert knowledge with data in Bayesian networks: Preserving data-driven expectations when the expert variables remain unobserved
.
Expert Systems with Applications
Constantinou AC, Fenton N, Marsh W, Radlinski L
(
2016
)
.
From complex questionnaire and interviewing data to intelligent Bayesian network models for medical decision support
.
Artificial Intelligence in Medicine
vol.
67
,
75
-
93
.
Constantinou AC, Fenton NE
(
2016
)
.
Improving Predictive Accuracy Using Smart-Data rather than Big-Data: A Case Study of Soccer Teams' Evolving Performance
.
BMA@UAI
.
Editors:
Carvalho, RN, Laskey, KB
,
vol.
1663
,
54
-
55
.
CONSTANTINOU AC, Freestone M, Marsh W, Coid J
(
2015
)
.
Causal inference for violence risk management and decision support in forensic psychiatry
.
Decision Support Systems
vol.
80
,
42
-
55
.
Constantinou AC, Yet B, Fenton N, Neil M, Marsh W
(
2015
)
.
Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences
.
Artificial Intelligence in Medicine
vol.
66
,
41
-
52
.
Constantinou AC, Freestone M, Marsh W, Fenton NE, Coid J
(
2015
)
.
Risk assessment and risk management of violent re-offending among prisoners
.
Expert Systems with Applications
vol.
42
,
(
21
)
Constantinou AC, Fenton NE, Pollock LJH
(
2014
)
.
Bayesian networks for unbiased assessment of referee bias in Association Football
.
Psychology of Sport and Exercise
vol.
15
,
(
5
)
538
-
547
.
Constantinou AC, Fenton NE
(
2013
)
.
Profiting from arbitrage and odds biases of the European football gambling market
.
The Journal of Gambling Business and Economics
vol.
7
,
(
2
)
41
-
70
.
Constantinou A, FENTON NE
(
2013
)
.
Determining the level of ability of football teams by dynamic ratings based on the relative discrepancies in scores between adversaries
.
Journal of Quantitative Analysis in Sports
vol.
9
,
(
1
)
37
-
50
.
Constantinou AC, Fenton NE, Neil M
(
2013
)
.
Profiting from an inefficient association football gambling market: Prediction, risk and uncertainty using Bayesian networks
.
KNOWLEDGE-BASED SYSTEMS
vol.
50
,
60
-
86
.
Constantinou A, FENTON NE, Neil M
(
2012
)
.
pi-football: A Bayesian network model for forecasting Association Football match outcomes
.
Knowledge Based Systems
vol.
36
,
322
-
339
.
Constantinou A, FENTON NE
(
2012
)
.
Solving the problem of inadequate scoring rules for assessing probabilistic football forecasting models
.
Journal of Quantitative Analysis in Sports
vol.
8
,
(
1
)
Article
1
,