Label Propagation for Learning with Label proportions. - Rafael Poyiadzi; Raúl Santos-Rodríguez; Niall Twomey (MLSP, 2018)

Ordinal Label Proportions. - Rafael Poyiadzi; Raúl Santos-Rodríguez; Tijl De Bie (ECML/PKDD (1), 2018)

Active Learning with Label Proportions. - Rafael Poyiadzi; Raúl Santos-Rodríguez; Niall Twomey (ICASSP, 2019)

Ordinal Regression as Structured Classification. - Niall Twomey; Rafael Poyiadzi; Callum Mann; Raúl Santos-Rodríguez (CoRR, 2019)

FACE: Feasible and Actionable Counterfactual Explanations. - Rafael Poyiadzi; Kacper Sokol; Raúl Santos-Rodríguez; Tijl De Bie; Peter A. Flach (AIES, 2020)

Detecting Signatures of Early-stage Dementia with Behavioural Models Derived from Sensor Data. - Rafael Poyiadzi; Weisong Yang; Yoav Ben-Shlomo; Ian Craddock; Liz Coulthard; Raúl Santos-Rodríguez; James Selwood; Niall Twomey (AAI4H@ECAI, 2020)

FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems. - Kacper Sokol; Alexander Hepburn; Rafael Poyiadzi; Matthew Clifford; Raúl Santos-Rodríguez; Peter A. Flach (J. Open Source Softw., 2020)

FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems. - Kacper Sokol; Alexander Hepburn; Rafael Poyiadzi; Matthew Clifford; Raúl Santos-Rodríguez; Peter A. Flach (Zenodo, 2020)

Statistical Hypothesis Testing for Class-Conditional Label Noise. - Rafael Poyiadzi; Weisong Yang; Niall Twomey; Raúl Santos-Rodríguez (CoRR, 2021)

On the overlooked issue of defining explanation objectives for local-surrogate explainers. - Rafael Poyiadzi; Xavier Renard; Thibault Laugel; Raúl Santos-Rodríguez; Marcin Detyniecki (CoRR, 2021)

Understanding surrogate explanations: the interplay between complexity, fidelity and coverage. - Rafael Poyiadzi; Xavier Renard; Thibault Laugel; Raúl Santos-Rodríguez; Marcin Detyniecki (CoRR, 2021)

Domain Generalisation for Apparent Emotional Facial Expression Recognition across Age-Groups. - Rafael Poyiadzi; Jie Shen 008; Stavros Petridis; Yujiang Wang 001; Maja Pantic (CoRR, 2021)

Detecting and Monitoring Behavioural Patterns in Individuals with Cognitive Disorders in the Home Environment with Partial Annotations. - Weisong Yang; Rafael Poyiadzi; Yoav Ben-Shlomo; Ian Craddock; Liz Coulthard; Raúl Santos-Rodríguez; James Selwood; Niall Twomey (Integrating Artificial Intelligence and IoT for Advanced Health Informatics, 2022)

Equitable Ability Estimation in Neurodivergent Student Populations with Zero-Inflated Learner Models. - Niall Twomey; Sarah McMullan; Anat Elhalal; Rafael Poyiadzi; Luis M. Vaquero (EDM, 2022)

Uncertainty Quantification of Surrogate Explanations: an Ordinal Consensus Approach. - Jonas Schulz; Raúl Santos-Rodríguez; Rafael Poyiadzi (NLDL, 2022)

The Weak Supervision Landscape. - Rafael Poyiadzi; Daniel Bacaicoa-Barber; Jesús Cid-Sueiro; Miquel Perelló-Nieto; Peter A. Flach; Raúl Santos-Rodríguez (PerCom Workshops, 2022)

Hypothesis Testing for Class-Conditional Label Noise. - Rafael Poyiadzi; Weisong Yang; Niall Twomey; Raúl Santos-Rodríguez (ECML/PKDD (3), 2022)

Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood. - Weisong Yang; Rafael Poyiadzi; Niall Twomey; Raúl Santos-Rodríguez (AAAI, 2024)

RAmBLA: A Framework for Evaluating the Reliability of LLMs as Assistants in the Biomedical Domain. - William James Bolton; Rafael Poyiadzi; Edward R. Morrell; Gabriela van Bergen Gonzalez Bueno; Lea Goetz (CoRR, 2024)