Rafael Poyiadzi

According to our database1, Rafael Poyiadzi authored at least 19 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
RAmBLA: A Framework for Evaluating the Reliability of LLMs as Assistants in the Biomedical Domain.
CoRR, 2024

Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2022
Hypothesis Testing for Class-Conditional Label Noise.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

The Weak Supervision Landscape.
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.
Proceedings of the 2022 Northern Lights Deep Learning Workshop, 2022

Equitable Ability Estimation in Neurodivergent Student Populations with Zero-Inflated Learner Models.
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.
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.
CoRR, 2021

Understanding surrogate explanations: the interplay between complexity, fidelity and coverage.
CoRR, 2021

On the overlooked issue of defining explanation objectives for local-surrogate explainers.
CoRR, 2021

Statistical Hypothesis Testing for Class-Conditional Label Noise.
CoRR, 2021

2020
FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems.
Dataset, May, 2020

FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems.
J. Open Source Softw., 2020

Detecting Signatures of Early-stage Dementia with Behavioural Models Derived from Sensor Data.
Proceedings of the First International AAI4H, 2020

FACE: Feasible and Actionable Counterfactual Explanations.
Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

2019
Ordinal Regression as Structured Classification.
CoRR, 2019

Active Learning with Label Proportions.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Ordinal Label Proportions.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Label Propagation for Learning with Label proportions.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018


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