A Transition Probability Based Classification Model for Enhanced N1 Sleep stage Identification During Automatic Sleep Stage Scoring. - Harry J. Davies; Takashi Nakamura; Danilo P. Mandic (EMBC, 2019)

Scalable automatic sleep staging in the era of Big Data. - Takashi Nakamura; Harry J. Davies; Danilo P. Mandic (EMBC, 2019)

In-Ear SpO2: A Tool for Wearable, Unobtrusive Monitoring of Core Blood Oxygen Saturation. - Harry J. Davies; Ian Williams; Nicholas S. Peters; Danilo P. Mandic (Sensors, 2020)

An Apparatus for the Simulation of Breathing Disorders: Physically Meaningful Generation of Surrogate Data. - Harry J. Davies; Ghena Hammour; Danilo P. Mandic (CoRR, 2021)

Tracking Cognitive Workload in Gaming with In-Ear $ text{SpO}_{2}$. - Harry J. Davies; Ian Williams; Danilo P. Mandic (EMBC, 2022)

Hearables: Artefact removal in Ear-EEG for continuous 24/7 monitoring. - Edoardo Occhipinti; Harry J. Davies; Ghena Hammour; Danilo P. Mandic (IJCNN, 2022)

Rapid Extraction of Respiratory Waveforms from Photoplethysmography: A Deep Encoder Approach. - Harry J. Davies; Danilo P. Mandic (CoRR, 2022)

Wearable In-Ear PPG: Detailed Respiratory Variations Enable Classification of COPD. - Harry J. Davies; Patrik Bachtiger; Ian Williams; Philip L. Molyneaux; Nicholas S. Peters; Danilo P. Mandic (IEEE Trans. Biomed. Eng., 2022)

Reducing racial bias in SpO2 estimation: The effects of skin pigmentation. - Matteo Bermond; Harry J. Davies; Edoardo Occhipinti; Amir Nassibi; Danilo P. Mandic (EMBC, 2023)

Feasibility of Transfer Learning from Finger PPG to In-Ear PPG. - Harry J. Davies; Marek Zylinski; Matteo Bermond; Zhuang Liu; Morteza Khaleghimeybodi; Danilo P. Mandic (EMBC, 2023)

Amplitude-Independent Machine Learning for PPG through Visibility Graphs and Transfer Learning. - Yuyang Miao; Harry J. Davies; Danilo P. Mandic (CoRR, 2023)

In-Ear SpO₂ for Classification of Cognitive Workload. - Harry J. Davies; Ian Williams; Ghena Hammour; Metin Yarici; Michael J. Stacey; Barry M. Seemungal; Danilo P. Mandic (IEEE Trans. Cogn. Dev. Syst., 2023)

Rapid extraction of respiratory waveforms from photoplethysmography: A deep corr-encoder approach. - Harry J. Davies; Danilo P. Mandic (Biomed. Signal Process. Control., 2023)

Segmented Error Minimisation (Semi) for Robust Training of Deep Learning Models with Non-Linear Shifts in Reference Data. - Harry J. Davies; Yuyang Miao; Amir Nassibi; Morteza Khaleghimeybodi; Danilo P. Mandic (ICASSP, 2024)

Interpretable Pre-Trained Transformers for Heart Time-Series Data. - Harry J. Davies; James Monsen; Danilo P. Mandic (CoRR, 2024)

In-ear ECG Signal Enhancement with Denoising Convolutional Autoencoders. - Edoardo Occhipinti; Marek Zylinski; Harry J. Davies; Amir Nassibi; Matteo Bermond; Patrik Bachtiger; Nicholas S. Peters; Danilo P. Mandic (CoRR, 2024)

Targeted Angular Reversal of Weights (TARS) for Knowledge Removal in Large Language Models. - Harry J. Davies; Giorgos Iacovides; Danilo P. Mandic (CoRR, 2024)

The Deep-Match Framework: R-Peak Detection in Ear-ECG. - Harry J. Davies; Ghena Hammour; Marek Zylinski; Amir Nassibi; Ljubisa Stankovic; Danilo P. Mandic (IEEE Trans. Biomed. Eng., 2024)

Decoding specialised feature neurons in LLMs with the final projection layer. - Harry J. Davies (CoRR, 2025)