A semi-automated food voting classification system: Combining user interaction and Support Vector Machines. - Patrick McAllister; Huiru Zheng; Raymond R. Bond; Anne Moorhead (ISTAS, 2015)

SenseCare: Using Affective Computing to Manage and Care for the Emotional Wellbeing of Older People. - Raymond R. Bond; Huiru Zheng; Haiying Wang 001; Maurice D. Mulvenna; Patrick McAllister; Kieran Delaney; Paul Walsh; Alphonsus Keary; Rubén Riestra; Sabina Guaylupo; Matthias L. Hemmje; Jana Becker; et al. (eHealth 360°, 2016)

A digital technology framework to optimise the self-management of obesity. - Patrick McAllister; Huiru Zheng; Raymond R. Bond; Anne Moorhead (UbiComp Adjunct, 2016)

Towards Personalised Training of Machine Learning Algorithms for Food Image Classification Using a Smartphone Camera. - Patrick McAllister; Huiru Zheng; Raymond R. Bond; Anne Moorhead (UCAmI (1), 2016)

Automated adjustment of crowdsourced calorie estimations for accurate food image logging. - Patrick McAllister; Anne Moorhead; Raymond R. Bond; Huiru Zheng (BIBM, 2017)

Participatory design-based requirements elicitation involving people living with dementia towards a home-based platform to monitor emotional wellbeing. - Maurice D. Mulvenna; Huiru Zheng; Raymond R. Bond; Patrick McAllister; Haiying Wang 001; Ruben Riestra (BIBM, 2017)

Bootstrapping analysis of crowdsourced non-expert estimates of the number of calories in photographs of meals. - Raymond R. Bond; Anne Moorhead; Huiru Zheng; Patrick McAllister (BIBM, 2018)

Combining deep residual neural network features with supervised machine learning algorithms to classify diverse food image datasets. - Patrick McAllister; Huiru Zheng; Raymond R. Bond; Anne Moorhead (Comput. Biol. Medicine, 2018)

Deep learning-based food image classification and crowdsourcing-based calorie estimation approach to support dietary management. - Patrick McAllister (2018)

Towards Chatbots to Support Bibliotherapy Preparation and Delivery. - Patrick McAllister; James Kerr; Michael F. McTear; Maurice D. Mulvenna; Raymond R. Bond; Karen Kirby; Joseph Morning; Danni Glover (CONVERSATIONS, 2019)

Future directions for chatbot research: an interdisciplinary research agenda. - Asbjørn Følstad; Theo B. Araujo; Effie Lai-Chong Law; Petter Bae Brandtzaeg; Symeon Papadopoulos; Lea Reis; Marcos Báez; Guy Laban; Patrick McAllister; Carolin Ischen; Rebecca Wald; Fabio Catania; et al. (Computing, 2021)

Designing Multimodal Video Search by Examples (MVSE) user interfaces: UX requirements elicitation and insights from semi-structured interviews. - Kyle Boyd; Patrick McAllister; Maurice D. Mulvenna; Raymond R. Bond; Hui Wang 001; Ivor T. A. Spence; Guanfeng Wu; Abbas Haider (ECCE, 2023)

Comparative Analysis of Machine Learning Approaches for Emotion Recognition Using EEG and ECG Signals. - Jing-Hua Ye; Ian Cleland; Huiru Zheng; Patrick McAllister (BIBM, 2024)

Improving the accuracy of Anomaly Detection in Multimodal Sensors using 1D-CNN. - Muhammad Imad; Ian Cleland; Patrick McAllister; Christopher Nugent (PETRA, 2024)

Integrating Traditional Machine Learning Approaches with Explainable Anomaly Detection for Multimodal Sensor Data. - Muhammad Imad; Ian Cleland; Chris D. Nugent; Patrick McAllister (UCAmI, 2024)