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)

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

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

When the Ground Truth is not True: Modelling Human Biases in Temporal Annotations. - Taku Yamagata; Emma L. Tonkin; Benjamin Arana Sanchez; Ian Craddock; Miquel Perelló-Nieto; Raúl Santos-Rodríguez; Weisong Yang; Peter A. Flach (PerCom Workshops, 2023)

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