Rafael Poyiadzi

According to our database, Rafael Poyiadzi authored at least 18 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood.

Weisong Yang, Rafael Poyiadzi, Niall Twomey, Raúl Santos-Rodríguez

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2022

Hypothesis Testing for Class-Conditional Label Noise.

Rafael Poyiadzi, Weisong Yang, Niall Twomey, Raúl Santos-Rodríguez

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

The Weak Supervision Landscape.

Rafael Poyiadzi, Daniel Bacaicoa-Barber, Jesús Cid-Sueiro, Miquel Perelló-Nieto, Peter A. Flach, Raúl Santos-Rodríguez

Proceedings of the 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2022

Uncertainty Quantification of Surrogate Explanations: an Ordinal Consensus Approach.

Jonas Schulz, Raúl Santos-Rodríguez, Rafael Poyiadzi

Proceedings of the 2022 Northern Lights Deep Learning Workshop, 2022

Equitable Ability Estimation in Neurodivergent Student Populations with Zero-Inflated Learner Models.

Niall Twomey, Sarah McMullan, Anat Elhalal, Rafael Poyiadzi, Luis M. Vaquero

Proceedings of the 15th International Conference on Educational Data Mining, 2022

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

Proceedings of the Integrating Artificial Intelligence and IoT for Advanced Health Informatics, 2022

2021

Domain Generalisation for Apparent Emotional Facial Expression Recognition across Age-Groups.

Rafael Poyiadzi, Jie Shen, Stavros Petridis, Yujiang Wang, Maja Pantic

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

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

Statistical Hypothesis Testing for Class-Conditional Label Noise.

Rafael Poyiadzi, Weisong Yang, Niall Twomey, Raúl Santos-Rodríguez

CoRR, 2021

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

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

Proceedings of the First International AAI4H, 2020

FACE: Feasible and Actionable Counterfactual Explanations.

Rafael Poyiadzi, Kacper Sokol, Raúl Santos-Rodríguez, Tijl De Bie, Peter A. Flach

Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

2019

Ordinal Regression as Structured Classification.

Niall Twomey, Rafael Poyiadzi, Callum Mann, Raúl Santos-Rodríguez

CoRR, 2019

Active Learning with Label Proportions.

Rafael Poyiadzi, Raúl Santos-Rodríguez, Niall Twomey

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Ordinal Label Proportions.

Rafael Poyiadzi, Raúl Santos-Rodríguez, Tijl De Bie

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Label Propagation for Learning with Label proportions.

Rafael Poyiadzi, Raúl Santos-Rodríguez, Niall Twomey

Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018