Context-Aware Mobile Augmented Reality for Library Management. - Adrian Shatte; Jason Holdsworth; Ickjai Lee (PRIMA, 2013)

Hand-Held Mobile Augmented Reality for Collaborative Problem Solving: A Case Study with Sorting. - Adrian Shatte; Jason Holdsworth; Ickjai Lee (HICSS, 2014)

Mobile augmented reality based context-aware library management system. - Adrian Shatte; Jason Holdsworth; Ickjai Lee (Expert Syst. Appl., 2014)

Multi-synchronous collaboration between desktop and mobile users: A case study of report writing for emergency management. - Adrian Shatte; Jason Holdsworth; Ickjai Lee (ACIS, 2015)

Web-Based Collaborative Document Writing for Emergency Management. - Adrian Shatte; Jason Holdsworth; Ickjai Lee (HICSS, 2016)

Untangling the Edits: User Attribution in Collaborative Report Writing for Emergency Management. - Adrian Shatte; Jason Holdsworth; Ickjai Lee (ICCSA (2), 2016)

Social Media Markers to Identify Fathers at Risk of Postpartum Depression: A Machine Learning Approach. - Adrian B. R. Shatte; Delyse M. Hutchinson; Matthew Fuller-Tyszkiewicz; Samantha J. Teague (Cyberpsychology Behav. Soc. Netw., 2020)

An Efficient Boolean Modelling Approach for Genetic Network Inference. - Hasini Nakulugamuwa Gamage; Madhu Chetty; Adrian Shatte; Jennifer Hallinan (CIBCB, 2021)

Dynamically Regulated Initialization for S-system Modelling of Genetic Networks. - Jaskaran Gill; Madhu Chetty; Adrian Shatte; Jennifer Hallinan (CIBCB, 2021)

Cost Effective Annotation Framework Using Zero-Shot Text Classification. - Buddhika Kasthuriarachchy; Madhu Chetty; Adrian Shatte; Darren Walls (IJCNN, 2021)

SUMMER: Bias-aware Prediction of Graduate Employment Based on Educational Big Data. - Feng Xia 001; Teng Guo; Xiaomei Bai; Adrian Shatte; Zitao Liu 001; Jiliang Tang (Trans. Data Sci., 2021)

Ensemble Regression Modelling for Genetic Network Inference. - Hasini Nakulugamuwa Gamage; Madhu Chetty; Adrian Shatte; Jennifer Hallinan (CIBCB, 2022)

Integrating steady-state and dynamic gene expression data for improving genetic network modelling. - Jaskaran Gill; Madhu Chetty; Adrian Shatte; Jennifer Hallinan (CIBCB, 2022)

The significance and impact of winning an academic award: a study of early career academics. - Jing Ren 001; Yajie Shi; Adrian Shatte; Xiangjie Kong 001; Feng Xia 001 (JCDL, 2022)

Filter feature selection based Boolean Modelling for Genetic Network Inference. - Hasini Nakulugamuwa Gamage; Madhu Chetty; Adrian Shatte; Jennifer Hallinan (Biosyst., 2022)

Combining kinetic orders for efficient S-System modelling of gene regulatory network. - Jaskaran Gill; Madhu Chetty; Adrian Shatte; Jennifer Hallinan (Biosyst., 2022)

The role of pre-existing knowledge and knowledge acquisition in internet-based cognitive-behavioural therapy for eating disorders. - Jake Linardon; Jaclyn Broadbent; Adrian Shatte; Matthew Fuller-Tyszkiewicz (Comput. Hum. Behav., 2022)

EDBase: Generating a Lexicon Base for Eating Disorders Via Social Media. - Tarique Anwar; Matthew Fuller-Tyszkiewicz; Hannah K. Jarman; Mohammad Abuhassan; Adrian Shatte; WIRED Team; Suku Sukunesan (IEEE J. Biomed. Health Informatics, 2022)

Classification of Twitter users with eating disorder engagement: Learning from the biographies. - Mohammad Abuhassan; Tarique Anwar; Matthew Fuller-Tyszkiewicz; Hannah K. Jarman; Adrian Shatte; Chengfei Liu; Suku Sukunesan (Comput. Hum. Behav., 2023)

Meaning-Sensitive Text Data Augmentation with Intelligent Masking. - Buddhika Kasthuriarachchy; Madhu Chetty; Adrian Shatte; Darren Walls (ACM Trans. Intell. Syst. Technol., 2023)