Rafael Poyiadzi

26 papers A* 1B 1C 1Misc 1Journal 15Unranked 6
YearRankTypeTitle / Venue / Authors
2024 A* conf
Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood.
AAAI
Weisong Yang, Rafael Poyiadzi, Niall Twomey, Raúl Santos-Rodríguez
2024 J jnl
RAmBLA: A Framework for Evaluating the Reliability of LLMs as Assistants in the Biomedical Domain.
CoRR
William James Bolton, Rafael Poyiadzi, Edward R. Morrell, Gabriela van Bergen Gonzalez Bueno, Lea Goetz
2023 J jnl
Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood.
CoRR
Weisong Yang, Rafael Poyiadzi, Niall Twomey, Raúl Santos-Rodríguez
2022 — ch.
Detecting and Monitoring Behavioural Patterns in Individuals with Cognitive Disorders in the Home Environment with Partial Annotations.
Integrating Artificial Intelligence and IoT for Advanced Health Informatics
Weisong Yang, Rafael Poyiadzi, Yoav Ben-Shlomo, Ian Craddock, Liz Coulthard, Raúl Santos-Rodríguez, James Selwood, Niall Twomey
2022 B conf
Equitable Ability Estimation in Neurodivergent Student Populations with Zero-Inflated Learner Models.
EDM
Niall Twomey, Sarah McMullan, Anat Elhalal, Rafael Poyiadzi, Luis M. Vaquero
2022 J jnl
Equitable Ability Estimation in Neurodivergent Student Populations with Zero-Inflated Learner Models.
CoRR
Niall Twomey, Sarah McMullan, Anat Elhalal, Rafael Poyiadzi, Luis Miguel Vaquero
2022 J jnl
FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems.
CoRR
Kacper Sokol, Alexander Hepburn, Rafael Poyiadzi, Matthew Clifford, Raúl Santos-Rodríguez, Peter A. Flach
2022 — conf
Hypothesis Testing for Class-Conditional Label Noise.
ECML/PKDD (3)
Rafael Poyiadzi, Weisong Yang, Niall Twomey, Raúl Santos-Rodríguez
2022 — conf
The Weak Supervision Landscape.
PerCom Workshops
Rafael Poyiadzi, Daniel Bacaicoa-Barber, Jesús Cid-Sueiro, Miquel Perelló-Nieto, Peter A. Flach, Raúl Santos-Rodríguez
2022 J jnl
The Weak Supervision Landscape.
CoRR
Rafael Poyiadzi, Daniel Bacaicoa-Barber, Jesús Cid-Sueiro, Miquel Perelló-Nieto, Peter A. Flach, Raúl Santos-Rodríguez
2022 — conf
Uncertainty Quantification of Surrogate Explanations: an Ordinal Consensus Approach.
NLDL
Jonas Schulz, Raúl Santos-Rodríguez, Rafael Poyiadzi
2021 J jnl
Domain Generalisation for Apparent Emotional Facial Expression Recognition across Age-Groups.
CoRR
Rafael Poyiadzi, Jie Shen, Stavros Petridis, Yujiang Wang, Maja Pantic
2021 J jnl
On the overlooked issue of defining explanation objectives for local-surrogate explainers.
CoRR
Rafael Poyiadzi, Xavier Renard, Thibault Laugel, Raúl Santos-Rodríguez, Marcin Detyniecki
2021 J jnl
Statistical Hypothesis Testing for Class-Conditional Label Noise.
CoRR
Rafael Poyiadzi, Weisong Yang, Niall Twomey, Raúl Santos-Rodríguez
2021 J jnl
Uncertainty Quantification of Surrogate Explanations: an Ordinal Consensus Approach.
CoRR
Jonas Schulz, Rafael Poyiadzi, Raúl Santos-Rodríguez
2021 J jnl
Understanding surrogate explanations: the interplay between complexity, fidelity and coverage.
CoRR
Rafael Poyiadzi, Xavier Renard, Thibault Laugel, Raúl Santos-Rodríguez, Marcin Detyniecki
2020 — conf
Detecting Signatures of Early-stage Dementia with Behavioural Models Derived from Sensor Data.
AAI4H@ECAI
Rafael Poyiadzi, Weisong Yang, Yoav Ben-Shlomo, Ian Craddock, Liz Coulthard, Raúl Santos-Rodríguez, James Selwood, Niall Twomey
2020 J jnl
Detecting Signatures of Early-stage Dementia with Behavioural Models Derived from Sensor Data.
CoRR
Rafael Poyiadzi, Weisong Yang, Yoav Ben-Shlomo, Ian Craddock, Liz Coulthard, Raúl Santos-Rodríguez, James Selwood, Niall Twomey
2020 C conf
FACE: Feasible and Actionable Counterfactual Explanations.
AIES
Rafael Poyiadzi, Kacper Sokol, Raúl Santos-Rodríguez, Tijl De Bie, Peter A. Flach
2020 J jnl
FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems.
J. Open Source Softw.
Kacper Sokol, Alexander Hepburn, Rafael Poyiadzi, Matthew Clifford, Raúl Santos-Rodríguez, Peter A. Flach
2019 Misc conf
Active Learning with Label Proportions.
ICASSP
Rafael Poyiadzi, Raúl Santos-Rodríguez, Niall Twomey
2019 J jnl
FACE: Feasible and Actionable Counterfactual Explanations.
CoRR
Rafael Poyiadzi, Kacper Sokol, Raúl Santos-Rodriguez, Tijl De Bie, Peter A. Flach
2019 J jnl
Ordinal Regression as Structured Classification.
CoRR
Niall Twomey, Rafael Poyiadzi, Callum Mann, Raúl Santos-Rodríguez
2018 J jnl
Label Propagation for Learning with Label Proportions.
CoRR
Rafael Poyiadzi, Raúl Santos-Rodríguez, Niall Twomey
2018 — conf
Label Propagation for Learning with Label proportions.
MLSP
Rafael Poyiadzi, Raúl Santos-Rodríguez, Niall Twomey
2018 — conf
Ordinal Label Proportions.
ECML/PKDD (1)
Rafael Poyiadzi, Raúl Santos-Rodríguez, Tijl De Bie