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Rafael Poyiadzis
Rafael Poyiadzis
Verified email at bristol.ac.uk
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Year
FACE: feasible and actionable counterfactual explanations
R Poyiadzi, K Sokol, R Santos-Rodriguez, T De Bie, P Flach
Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 344-350, 2020
3612020
Fat forensics: A python toolbox for implementing and deploying fairness, accountability and transparency algorithms in predictive systems
K Sokol, A Hepburn, R Poyiadzi, M Clifford, R Santos-Rodriguez, P Flach
arXiv preprint arXiv:2209.03805, 2022
272022
Label propagation for learning with label proportions
R Poyiadzi, R Santos-Rodriguez, N Twomey
2018 IEEE 28th International Workshop on Machine Learning for Signal …, 2018
122018
The weak supervision landscape
R Poyiadzi, D Bacaicoa-Barber, J Cid-Sueiro, M Perello-Nieto, P Flach, ...
2022 IEEE International Conference on Pervasive Computing and Communications …, 2022
102022
On the overlooked issue of defining explanation objectives for local-surrogate explainers
R Poyiadzi, X Renard, T Laugel, R Santos-Rodriguez, M Detyniecki
arXiv preprint arXiv:2106.05810, 2021
102021
Detecting signatures of early-stage dementia with behavioural models derived from sensor data
R Poyiadzi, W Yang, Y Ben-Shlomo, I Craddock, L Coulthard, ...
arXiv preprint arXiv:2007.03615, 2020
102020
Tijl De Bie, and Peter Flach
R Poyiadzi, K Sokol, R Santos-Rodriguez
FACE: Feasible and actionable counterfactual explanations, 2019
102019
Uncertainty quantification of surrogate explanations: an ordinal consensus approach
J Schulz, R Poyiadzi, R Santos-Rodriguez
arXiv preprint arXiv:2111.09121, 2021
82021
Active learning with label proportions
R Poyiadzis, R Santos-Rodriguez, N Twomey
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
72019
Understanding surrogate explanations: the interplay between complexity, fidelity and coverage
R Poyiadzi, X Renard, T Laugel, R Santos-Rodriguez, M Detyniecki
arXiv preprint arXiv:2107.04309, 2021
62021
Domain generalisation for apparent emotional facial expression recognition across age-groups
R Poyiadzi, J Shen, S Petridis, Y Wang, M Pantic
arXiv preprint arXiv:2110.09168, 2021
42021
Ordinal label proportions
R Poyiadzi, R Santos-Rodriguez, T De Bie
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019
42019
Statistical hypothesis testing for class-conditional label noise
R Poyiadzi, W Yang, N Twomey, R Santos-Rodriguez
European Conference on Machine Learning and Principles and Practice of …, 2022
32022
Detecting and monitoring behavioural patterns in individuals with cognitive disorders in the home environment with partial annotations
W Yang, R Poyiadzi, Y Ben-Shlomo, I Craddock, L Coulthard, ...
Integrating Artificial Intelligence and IoT for Advanced Health Informatics …, 2022
22022
Feasible and actionable counterfactual explanations
R Poyiadzi, K Sokol, R Santos-Rodriguez, T De Bie, P Flach
New York: Association for Computing Machinery, 2020
22020
Ordinal regression as structured classification
N Twomey, R Poyiadzi, C Mann, R Santos-Rodríguez
arXiv preprint arXiv:1905.13658, 2019
22019
Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood
W Yang, R Poyiadzi, N Twomey, R Santos-Rodriguez
Proceedings of the AAAI Conference on Artificial Intelligence 38 (19), 21744 …, 2024
2024
The Use of Home-Based Behaviours for Detecting Early Dementia: Protocol for the CUBOId Study
J Selwood, N Twomey, I Craddock, E Coulthard, DP Kumpik, M Newson, ...
medRxiv, 2024.02. 21.24303130, 2024
2024
Hypothesis Testing for Class-Conditional Label Noise
R Poyiadzi, W Yang, N Twomey, R Santos-Rodriguez
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022
2022
Equitable Ability Estimation in Neurodivergent Student Populations with Zero-Inflated Learner Models
N Twomey, S McMullan, A Elhalal, R Poyiadzi, L Vaquero
arXiv preprint arXiv:2203.10170, 2022
2022
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Articles 1–20