Rafael Poyiadzi

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 25

Top Topics

Naive Bayes Classifier

Hypothesis Testing

Ordinal Regression

Top Venues

Publications

Weisong Yang, Rafael Poyiadzi, Niall Twomey, Raúl Santos-Rodríguez
Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood. AAAI (2024)
William James Bolton, Rafael Poyiadzi, Edward R. Morrell, Gabriela van Bergen Gonzalez Bueno, Lea Goetz
RAmBLA: A Framework for Evaluating the Reliability of LLMs as Assistants in the Biomedical Domain. CoRR (2024)
Weisong Yang, Rafael Poyiadzi, Niall Twomey, Raúl Santos-Rodríguez
Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood. CoRR (2023)
Niall Twomey, Sarah McMullan, Anat Elhalal, Rafael Poyiadzi, Luis Miguel Vaquero
Equitable Ability Estimation in Neurodivergent Student Populations with Zero-Inflated Learner Models. CoRR (2022)
Rafael Poyiadzi, Daniel Bacaicoa-Barber, Jesús Cid-Sueiro, Miquel Perelló-Nieto, Peter A. Flach, Raúl Santos-Rodríguez
The Weak Supervision Landscape. PerCom Workshops (2022)
Niall Twomey, Sarah McMullan, Anat Elhalal, Rafael Poyiadzi, Luis M. Vaquero
Equitable Ability Estimation in Neurodivergent Student Populations with Zero-Inflated Learner Models. EDM (2022)
Rafael Poyiadzi, Daniel Bacaicoa-Barber, Jesús Cid-Sueiro, Miquel Perelló-Nieto, Peter A. Flach, Raúl Santos-Rodríguez
The Weak Supervision Landscape. CoRR (2022)
Jonas Schulz, Raúl Santos-Rodríguez, Rafael Poyiadzi
Uncertainty Quantification of Surrogate Explanations: an Ordinal Consensus Approach. NLDL (2022)
Kacper Sokol, Alexander Hepburn, Rafael Poyiadzi, Matthew Clifford, Raúl Santos-Rodríguez, Peter A. Flach
FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems. CoRR (2022)
Rafael Poyiadzi, Weisong Yang, Niall Twomey, Raúl Santos-Rodríguez
Hypothesis Testing for Class-Conditional Label Noise. ECML/PKDD (3) (2022)
Rafael Poyiadzi, Weisong Yang, Niall Twomey, Raúl Santos-Rodríguez
Statistical Hypothesis Testing for Class-Conditional Label Noise. CoRR (2021)
Rafael Poyiadzi, Xavier Renard, Thibault Laugel, Raúl Santos-Rodríguez, Marcin Detyniecki
On the overlooked issue of defining explanation objectives for local-surrogate explainers. CoRR (2021)
Jonas Schulz, Rafael Poyiadzi, Raúl Santos-Rodríguez
Uncertainty Quantification of Surrogate Explanations: an Ordinal Consensus Approach. CoRR (2021)
Rafael Poyiadzi, Xavier Renard, Thibault Laugel, Raúl Santos-Rodríguez, Marcin Detyniecki
Understanding surrogate explanations: the interplay between complexity, fidelity and coverage. CoRR (2021)
Rafael Poyiadzi, Jie Shen, Stavros Petridis, Yujiang Wang, Maja Pantic
Domain Generalisation for Apparent Emotional Facial Expression Recognition across Age-Groups. CoRR (2021)
Rafael Poyiadzi, Kacper Sokol, Raúl Santos-Rodríguez, Tijl De Bie, Peter A. Flach
FACE: Feasible and Actionable Counterfactual Explanations. AIES (2020)
Rafael Poyiadzi, Weisong Yang, Yoav Ben-Shlomo, Ian Craddock, Liz Coulthard, Raúl Santos-Rodríguez, James Selwood, Niall Twomey
Detecting Signatures of Early-stage Dementia with Behavioural Models Derived from Sensor Data. AAI4H@ECAI (2020)
Rafael Poyiadzi, Weisong Yang, Yoav Ben-Shlomo, Ian Craddock, Liz Coulthard, Raúl Santos-Rodríguez, James Selwood, Niall Twomey
Detecting Signatures of Early-stage Dementia with Behavioural Models Derived from Sensor Data. CoRR (2020)
Kacper Sokol, Alexander Hepburn, Rafael Poyiadzi, Matthew Clifford, Raúl Santos-Rodríguez, Peter A. Flach
FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems. J. Open Source Softw. 5 (49) (2020)
Rafael Poyiadzi, Kacper Sokol, Raúl Santos-Rodriguez, Tijl De Bie, Peter A. Flach
FACE: Feasible and Actionable Counterfactual Explanations. CoRR (2019)
Rafael Poyiadzi, Raúl Santos-Rodríguez, Niall Twomey
Active Learning with Label Proportions. ICASSP (2019)
Niall Twomey, Rafael Poyiadzi, Callum Mann, Raúl Santos-Rodríguez
Ordinal Regression as Structured Classification. CoRR (2019)
Rafael Poyiadzi, Raúl Santos-Rodríguez, Niall Twomey
Label Propagation for Learning with Label Proportions. CoRR (2018)
Rafael Poyiadzi, Raúl Santos-Rodríguez, Tijl De Bie
Ordinal Label Proportions. ECML/PKDD (1) (2018)
Rafael Poyiadzi, Raúl Santos-Rodríguez, Niall Twomey
Label Propagation for Learning with Label proportions. MLSP (2018)