Environment-Independent Performance Analyses of Cryptographic Algorithms. - Adam G. Dunn (ACSC, 2003)

Modelling Wildfire Dynamics via Interacting Automata. - Adam G. Dunn; George Milne (ACRI, 2004)

Simulating Weed Propagation Via Hierarchical, Patch-Based Cellular Automata. - Adam G. Dunn; Jonathan D. Majer (International Conference on Computational Science (1), 2007)

Hierarchical Cellular Automata Methods. - Adam G. Dunn (Simulating Complex Systems by Cellular Automata, 2010)

Why is it so difficult to measure the effects of interruptions in healthcare? - Farah Magrabi; Simon Y. W. Li; Adam G. Dunn; Enrico W. Coiera (MedInfo, 2010)

Agent-Based Modelling for Risk Assessment of Routine Clinical Processes. - Wayne Wobcke; Adam G. Dunn (PRIMA, 2010)

Diffusion of Competing Innovations: The Effects of Network Structure on the Provision of Healthcare. - Adam G. Dunn; Blanca Gallego (J. Artif. Soc. Soc. Simul., 2010)

A simulation framework for mapping risks in clinical processes: the case of in-patient transfers. - Adam G. Dunn; Mei-Sing Ong; Johanna I. Westbrook; Farah Magrabi; Enrico W. Coiera; Wayne Wobcke (J. Am. Medical Informatics Assoc., 2011)

Consumers' Online Social Network Topologies and Health Behaviours. - Annie Y. S. Lau; Adam G. Dunn; Nathan J. Mortimer; Judith Proudfoot; Annie Andrews; Siaw-Teng Liaw; Jacinta Crimmins; Amaël Arguel; Enrico W. Coiera (MedInfo, 2013)

Identifying Clinical Study Types from PubMed Metadata: The Active (Machine) Learning Approach. - Adam G. Dunn; Diana Arachi; Florence T. Bourgeois (MedInfo, 2015)

Using social connection information to improve opinion mining: Identifying negative sentiment about HPV vaccines on Twitter. - Xujuan Zhou; Enrico W. Coiera; Guy Tsafnat; Diana Arachi; Mei-Sing Ong; Adam G. Dunn (MedInfo, 2015)

Review: Understanding Large Temporal Networks and Spatial Networks: Exploration, Pattern Searching, Visualization and Network Evolution (Wiley Series in Computational and Quantitative Social Science). - Adam G. Dunn (J. Artif. Soc. Soc. Simul., 2015)

A Matching Algorithm between ClinicalTrials.gov and PubMed to Support the Monitoring of Gaps in Published Study Results. - Adam G. Dunn; Florence T. Bourgeois (AMIA, 2016)

Document similarity measures can support semi-automated identification of unreported links between trial registrations and published reports. - Adam G. Dunn; Enrico W. Coiera; Florence T. Bourgeois (CoRR, 2017)

Technological Characteristics of Conversational Agents Used for Health-Related Purposes - A Systematic Review. - Liliana Laranjo; Adam G. Dunn; Huong Ly Tong; Ahmet Baki Kocaballi; Jessica A. Chen; Rabia Bashir; Didi Surian; Blanca Gallego; Farah Magrabi; Annie Y. S. Lau; Enrico W. Coiera (AMIA, 2018)

Modelling spatiotemporal variation of positive and negative sentiment on Twitter to improve the identification of localised deviations. - Zubair Shah; Paige Martin; Enrico W. Coiera; Kenneth D. Mandl; Adam G. Dunn (CoRR, 2018)

Conversational agents in healthcare: a systematic review. - Liliana Laranjo; Adam G. Dunn; Huong Ly Tong; Ahmet Baki Kocaballi; Jessica A. Chen; Rabia Bashir; Didi Surian; Blanca Gallego; Farah Magrabi; Annie Y. S. Lau; Enrico W. Coiera (J. Am. Medical Informatics Assoc., 2018)

A shared latent space matrix factorisation method for recommending new trial evidence for systematic review updates. - Didi Surian; Adam G. Dunn; Liat Orenstein; Rabia Bashir; Enrico W. Coiera; Florence T. Bourgeois (J. Biomed. Informatics, 2018)

Social media interventions for precision public health: promises and risks. - Adam G. Dunn; Kenneth D. Mandl; Enrico W. Coiera (npj Digit. Medicine, 2018)

Using trial2rev to support timely and efficient systematic review updates. - Adam G. Dunn; Paige Martin; Florence T. Bourgeois (AMIA, 2019)

Automatically applying a credibility appraisal tool to track vaccination-related communications shared on social media. - Zubair Shah; Didi Surian; Amalie Dyda; Enrico W. Coiera; Kenneth D. Mandl; Adam G. Dunn (CoRR, 2019)

Mining Twitter to Assess the Determinants of Health Behavior towards Human Papillomavirus Vaccination in the United States. - Hansi Zhang; Christopher Wheldon; Adam G. Dunn; Cui Tao; Jinhai Huo; Rui Zhang 028; Mattia Prosperi; Yi Guo 005; Jiang Bian 001 (CoRR, 2019)

Tracking a moving user in indoor environments using Bluetooth low energy beacons. - Didi Surian; Vitaliy Kim; Ranjeeta Menon; Adam G. Dunn; Vitali Sintchenko; Enrico W. Coiera (J. Biomed. Informatics, 2019)

Is it time for computable evidence synthesis? - Adam G. Dunn; Florence T. Bourgeois (J. Am. Medical Informatics Assoc., 2020)

Mining Twitter to assess the determinants of health behavior toward human papillomavirus vaccination in the United States. - Hansi Zhang; Christopher Wheldon; Adam G. Dunn; Cui Tao; Jinhai Huo; Rui Zhang 028; Mattia Prosperi; Yi Guo 005; Jiang Bian 001 (J. Am. Medical Informatics Assoc., 2020)

Recommending research articles to consumers of online vaccination information. - Eliza Harrison; Paige Martin; Didi Surian; Adam G. Dunn (Quant. Sci. Stud., 2020)

Sent2Span: Span Detection for PICO Extraction in the Biomedical Text without Span Annotations. - Shifeng Liu 002; Yifang Sun; Bing Li 002; Wei Wang 011; Florence T. Bourgeois; Adam G. Dunn (EMNLP (Findings), 2021)

Classifying vaccine sentiment tweets by modelling domain-specific representation and commonsense knowledge into context-aware attentive GRU. - Usman Naseem; Matloob Khushi; Jinman Kim; Adam G. Dunn (IJCNN, 2021)

Knowing when to act: A call for an open misinformation library to guide actionable surveillance. - Adam G. Dunn; Maryke Steffens; Amalie Dyda; Kenneth D. Mandl (Big Data Soc., 2021)

The Role of Context in Vaccine Stance Prediction for Twitter Users. - Aleney Khoo; Maciej Rybinski; Sarvnaz Karimi; Adam G. Dunn (ALTA, 2022)

Early Identification of Depression Severity Levels on Reddit Using Ordinal Classification. - Usman Naseem; Adam G. Dunn; Jinman Kim; Matloob Khushi (WWW, 2022)

Identification of Disease or Symptom terms in Reddit to Improve Health Mention Classification. - Usman Naseem; Jinman Kim; Matloob Khushi; Adam G. Dunn (WWW, 2022)

Benchmarking for biomedical natural language processing tasks with a domain specific ALBERT. - Usman Naseem; Adam G. Dunn; Matloob Khushi; Jinman Kim (BMC Bioinform., 2022)

Benchmarking for Public Health Surveillance tasks on Social Media with a Domain-Specific Pretrained Language Model. - Usman Naseem; Byoung-Chan Lee; Matloob Khushi; Jinman Kim; Adam G. Dunn (CoRR, 2022)

Event Detection on Twitter by Mapping Unexpected Changes in Streaming Data into a Spatiotemporal Lattice. - Zubair Shah; Adam G. Dunn (IEEE Trans. Big Data, 2022)

A Multimodal Framework for the Identification of Vaccine Critical Memes on Twitter. - Usman Naseem; Jinman Kim; Matloob Khushi; Adam G. Dunn (WSDM, 2023)

Graph-Based Hierarchical Attention Network for Suicide Risk Detection on Social Media. - Usman Naseem; Jinman Kim; Matloob Khushi; Adam G. Dunn (WWW (Companion Volume), 2023)

Natural language processing for clinical notes in dentistry: A systematic review. - Farhana Pethani; Adam G. Dunn (J. Biomed. Informatics, 2023)

Robust Identification of Figurative Language in Personal Health Mentions on Twitter. - Usman Naseem; Jinman Kim; Matloob Khushi; Adam G. Dunn (IEEE Trans. Artif. Intell., 2023)

An evaluation of existing text de-identification tools for use with patient progress notes from Australian general practice. - Carol El-Hayek; Siamak Barzegar; Noel Faux; Kim Doyle; Priyanka Pillai; Simon J. Mutch; Alaina Vaisey; Roger Ward; Lena Sanci; Adam G. Dunn; Margaret Hellard; Jane S. Hocking; et al. (Int. J. Medical Informatics, 2023)

RHMD: A Real-World Dataset for Health Mention Classification on Reddit. - Usman Naseem; Matloob Khushi; Jinman Kim; Adam G. Dunn (IEEE Trans. Comput. Soc. Syst., 2023)

Vaccine Misinformation Detection in X using Cooperative Multimodal Framework. - Usman Naseem; Adam G. Dunn; Matloob Khushi; Jinman Kim (ACM Multimedia, 2024)

A Linguistic Grounding-Infused Contrastive Learning Approach for Health Mention Classification on Social Media. - Usman Naseem; Jinman Kim; Matloob Khushi; Adam G. Dunn (WSDM, 2024)

MuscleMap: An Open-Source, Community-Supported Consortium for Whole-Body Quantitative MRI of Muscle. - Marnee J. McKay; Kenneth Arnold Weber II; Evert O. Wesselink; Zachary A. Smith; Rebecca Abbott; David B. Anderson; Claire E. Ashton-James; John Atyeo; Aaron J. Beach; Joshua Burns; Stephen Clarke; Natalie J. Collins; et al. (J. Imaging, 2024)

Phenotyping people with a history of injecting drug use within electronic medical records using an interactive machine learning approach. - Carol El-Hayek; Thi Nguyen; Margaret E. Hellard; Michael Curtis; Rachel Sacks-Davis; Lin Aung Htein; Jason Asselin; Douglas Iain Ross Boyle; Anna Wilkinson; Victoria Polkinghorne; Jane S. Hocking; Adam G. Dunn (npj Digit. Medicine, 2024)

The quality and safety of using generative AI to produce patient-centred discharge instructions. - Kristian Stanceski; Sharleen Zhong; Xumou Zhang; Sam Khadra; Marguerite Tracy; Linda Koria; Sarita Lo; Vasi Naganathan; Jinman Kim; Adam G. Dunn; Julie Ayre (npj Digit. Medicine, 2024)

K-PathVQA: Knowledge-Aware Multimodal Representation for Pathology Visual Question Answering. - Usman Naseem; Matloob Khushi; Adam G. Dunn; Jinman Kim (IEEE J. Biomed. Health Informatics, 2024)

Hybrid Text Representation for Explainable Suicide Risk Identification on Social Media. - Usman Naseem; Matloob Khushi; Jinman Kim; Adam G. Dunn (IEEE Trans. Comput. Soc. Syst., 2024)

Bridging the Semantic Gaps: Improving Medical VQA Consistency with LLM-Augmented Question Sets. - Yongpei Ma; Pengyu Wang; Adam G. Dunn; Usman Naseem; Jinman Kim (CoRR, 2025)

A novel language model for predicting serious adverse event results in clinical trials from their prospective registrations. - Qixuan Hu; Xumou Zhang; Jinman Kim; Florence T. Bourgeois; Adam G. Dunn (CoRR, 2025)