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ORCIDAnthony C. Constantinou
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2020 – today
- 2024
[j29]Neville Kenneth Kitson
, Anthony C. Constantinou:
The impact of variable ordering on Bayesian network structure learning. Data Min. Knowl. Discov. 38(4): 2545-2569 (2024)- [j28]Kiattikun Chobtham, Anthony C. Constantinou:
Tuning structure learning algorithms with out-of-sample and resampling strategies. Knowl. Inf. Syst. 66(8): 4927-4955 (2024) - [i24]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 abs/2403.14327 (2024) - [i23]Bruno Petrungaro, Neville Kenneth Kitson, Anthony C. Constantinou:
Investigating potential causes of Sepsis with Bayesian network structure learning. CoRR abs/2406.09207 (2024) - [i22]Anthony C. Constantinou, Neville Kenneth Kitson, Alessio Zanga:
Using GPT-4 to guide causal machine learning. CoRR abs/2407.18607 (2024) - 2023
- [j27]Neville Kenneth Kitson, Anthony C. Constantinou, Zhigao Guo, Yang Liu, Kiattikun Chobtham:
A survey of Bayesian Network structure learning. Artif. Intell. Rev. 56(8): 8721-8814 (2023) - [j26]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): 476-520 (2023) - [j25]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: 121069 (2023) - [j24]Anthony C. Constantinou, Zhigao Guo, Neville Kenneth Kitson:
The impact of prior knowledge on causal structure learning. Knowl. Inf. Syst. 65(8): 3385-3434 (2023) - [c4]Yang Liu, Anthony C. Constantinou:
Improving the imputation of missing data with Markov Blanket discovery. ICLR 2023 - [i21]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 abs/2305.03859 (2023) - [i20]Kiattikun Chobtham, Anthony C. Constantinou:
Tuning structure learning algorithms with out-of-sample and resampling strategies. CoRR abs/2306.13932 (2023) - [i19]Neville Kenneth Kitson, Anthony C. Constantinou:
Causal discovery using dynamically requested knowledge. CoRR abs/2310.11154 (2023) - 2022
- [j23]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: 292-321 (2022) - [j22]Yang Liu, Anthony C. Constantinou, Zhigao Guo:
Improving Bayesian Network Structure Learning in the Presence of Measurement Error. J. Mach. Learn. Res. 23: 324:1-324:28 (2022) - [j21]Yang Liu, Anthony C. Constantinou:
Greedy structure learning from data that contain systematic missing values. Mach. Learn. 111(10): 3867-3896 (2022) - [c3]Kiattikun Chobtham, Anthony C. Constantinou:
Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound. PGM 2022: 121-132 - [i18]Zhigao Guo, Anthony C. Constantinou:
Parallel Sampling for Efficient High-dimensional Bayesian Network Structure Learning. CoRR abs/2202.09691 (2022) - [i17]Kiattikun Chobtham, Anthony C. Constantinou:
Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound. CoRR abs/2206.05490 (2022) - [i16]Neville Kenneth Kitson, Anthony C. Constantinou:
The Impact of Variable Ordering on Bayesian Network Structure Learning. CoRR abs/2206.08952 (2022) - 2021
- [j20]Anthony C. Constantinou:
The importance of temporal information in Bayesian network structure learning. Expert Syst. Appl. 164: 113814 (2021) - [j19]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: 151-188 (2021) - [j18]Neville Kenneth Kitson, Anthony C. Constantinou:
Learning Bayesian networks from demographic and health survey data. J. Biomed. Informatics 113: 103588 (2021) - [i15]Anthony C. Constantinou, Norman E. Fenton, Martin Neil:
How do some Bayesian Network machine learned graphs compare to causal knowledge? CoRR abs/2101.10461 (2021) - [i14]Anthony C. Constantinou, Zhigao Guo, Neville Kenneth Kitson:
Information fusion between knowledge and data in Bayesian network structure learning. CoRR abs/2102.00473 (2021) - [i13]Yang Liu, Anthony C. Constantinou:
Greedy structure learning from data that contains systematic missing values. CoRR abs/2107.04184 (2021) - [i12]Neville Kenneth Kitson, Anthony C. Constantinou, Zhigao Guo, Yang Liu, Kiattikun Chobtham:
A survey of Bayesian Network structure learning. CoRR abs/2109.11415 (2021) - [i11]Anthony C. Constantinou, Yang Liu, Neville Kenneth Kitson, Kiattikun Chobtham, Zhigao Guo:
Effective and efficient structure learning with pruning and model averaging strategies. CoRR abs/2112.00398 (2021) - [i10]Kiattikun Chobtham, Anthony C. Constantinou, Neville Kenneth Kitson:
Hybrid Bayesian network discovery with latent variables by scoring multiple interventions. CoRR abs/2112.10574 (2021) - 2020
- [j17]Anthony C. Constantinou:
Learning Bayesian Networks That Enable Full Propagation of Evidence. IEEE Access 8: 124845-124856 (2020) - [j16]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: 103286 (2020) - [j15]Zhigao Guo, Anthony C. Constantinou:
Approximate Learning of High Dimensional Bayesian Network Structures via Pruning of Candidate Parent Sets. Entropy 22(10): 1142 (2020) - [j14]Anthony C. Constantinou:
Learning Bayesian Networks with the Saiyan Algorithm. ACM Trans. Knowl. Discov. Data 14(4): 44:1-44:21 (2020) - [c2]Kiattikun Chobtham, Anthony C. Constantinou:
Bayesian network structure learning with causal effects in the presence of latent variables. PGM 2020: 101-112 - [i9]Anthony C. Constantinou:
Asian Handicap football betting with Rating-based Hybrid Bayesian Networks. CoRR abs/2003.09384 (2020) - [i8]Anthony C. Constantinou:
Learning Bayesian Networks that enable full propagation of evidence. CoRR abs/2004.04571 (2020) - [i7]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 abs/2005.09020 (2020) - [i6]Kiattikun Chobtham, Anthony C. Constantinou:
Bayesian network structure learning with causal effects in the presence of latent variables. CoRR abs/2005.14381 (2020) - [i5]Zhigao Guo, Anthony C. Constantinou:
Approximate learning of high dimensional Bayesian network structures via pruning of Candidate Parent Sets. CoRR abs/2006.04753 (2020) - [i4]Yang Liu, Anthony C. Constantinou, Zhigao Guo:
Improving Bayesian Network Structure Learning in the Presence of Measurement Error. CoRR abs/2011.09776 (2020)
2010 – 2019
- 2019
- [j13]Anthony C. Constantinou:
Dolores: a model that predicts football match outcomes from all over the world. Mach. Learn. 108(1): 49-75 (2019) - [i3]Anthony C. Constantinou:
Evaluating structure learning algorithms with a balanced scoring function. CoRR abs/1905.12666 (2019) - [i2]Neville Kenneth Kitson, Anthony C. Constantinou:
Learning Bayesian networks from demographic and health survey data. CoRR abs/1912.00715 (2019) - [i1]Norman E. Fenton, Martin Neil, Anthony C. Constantinou:
Simpson's Paradox and the implications for medical trials. CoRR abs/1912.01422 (2019) - 2018
- [j12]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: 7802-7817 (2018) - [j11]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: 93-112 (2018) - 2017
- [j10]Anthony C. Constantinou, Norman E. Fenton:
Towards smart-data: Improving predictive accuracy in long-term football team performance. Knowl. Based Syst. 124: 93-104 (2017) - 2016
- [j9]Anthony Costa Constantinou, Barbaros Yet, Norman E. Fenton, Martin Neil, William Marsh:
Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences. Artif. Intell. Medicine 66: 41-52 (2016) - [j8]Anthony Costa Constantinou, Norman E. Fenton, William Marsh, Lukasz Radlinski:
From complex questionnaire and interviewing data to intelligent Bayesian network models for medical decision support. Artif. Intell. Medicine 67: 75-93 (2016) - [j7]Anthony Costa Constantinou, Norman E. Fenton, Martin Neil:
Integrating expert knowledge with data in Bayesian networks: Preserving data-driven expectations when the expert variables remain unobserved. Expert Syst. Appl. 56: 197-208 (2016) - [j6]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: 141-155 (2016) - [j5]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: 39-50 (2016) - [c1]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: 54-55 - 2015
- [j4]Anthony Costa Constantinou, Mark Freestone, William Marsh, Jeremy Coid:
Causal inference for violence risk management and decision support in forensic psychiatry. Decis. Support Syst. 80: 42-55 (2015) - [j3]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): 7511-7529 (2015) - 2013
- [b1]Anthony Costa Constantinou:
Bayesian networks for prediction, risk assessment and decision making in an inefficient Association Football gambling market. Queen Mary University of London, UK, 2013 - [j2]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: 60-86 (2013) - 2012
- [j1]Anthony C. Constantinou, Norman E. Fenton, Martin Neil:
pi-football: A Bayesian network model for forecasting Association Football match outcomes. Knowl. Based Syst. 36: 322-339 (2012)
Coauthor Index
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last updated on 2024-09-13 00:43 CEST by the dblp team
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