Follow
Rafael Poyiadzis
Rafael Poyiadzis
Verified email at bristol.ac.uk
Title
Cited by
Cited by
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
1762020
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
82020
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
72018
Tijl De Bie, and Peter Flach
R Poyiadzi, K Sokol, R Santos-Rodriguez
FACE: Feasible and actionable counterfactual explanations, 2019
62019
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
42021
Active learning with label proportions
R Poyiadzis, R Santos-Rodriguez, N Twomey
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
42019
Ordinal label proportions
R Poyiadzi, R Santos-Rodriguez, TD Bie
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018
42018
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
32021
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
32021
Ordinal Regression as Structured Classification
N Twomey, R Poyiadzi, C Mann, R Santos-Rodríguez
arXiv preprint arXiv:1905.13658, 2019
22019
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
12022
Uncertainty Quantification of Surrogate Explanations: an Ordinal Consensus Approach
J Schulz, R Poyiadzi, R Santos-Rodriguez
arXiv preprint arXiv:2111.09121, 2021
12021
Statistical Hypothesis Testing for Class-Conditional Label Noise.
R Poyiadzi, W Yang, N Twomey, R Santos-Rodríguez
CoRR, 2021
12021
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
Inspecting the Machine Learning Pipeline
R POYIADZI
2022
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
2022
Hypothesis Testing for Class-Conditional Label Noise
R Poyiadzi, W Yang, N Twomey, R Santos-Rodriguez
arXiv preprint arXiv:2103.02630, 2021
2021
Feasible and Actionable Counterfactual Explanations
R Poyiadzi, K Sokol, R Santos-Rodriguez, T De Bie, P Flach
2020
Proportions. In F. Bonchi, T. Gärtner, N. Hurley, G. Ifrim, & M. Berlingerio
R Poyiadzi, R Santos-Rodriguez, T De Bie
with Label Proportions. In 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019-Proceedings (pp. 3097-3101).[8682748](ICASSP, IEEE …
R Poyiadzi, R Santos-Rodriguez, N Twomey
The system can't perform the operation now. Try again later.
Articles 1–20