Rafael Poyiadzi
According to our database1,
Rafael Poyiadzi
authored at least 19 papers
between 2018 and 2024.
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Bibliography
2024
RAmBLA: A Framework for Evaluating the Reliability of LLMs as Assistants in the Biomedical Domain.
CoRR, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2022
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Proceedings of the 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2022
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
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
Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020
2019
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018