Adrian Shatte

According to our database, Adrian Shatte authored at least 20 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Meaning-Sensitive Text Data Augmentation with Intelligent Masking.

Buddhika Kasthuriarachchy, Madhu Chetty, Adrian Shatte, Darren Walls

ACM Trans. Intell. Syst. Technol., December, 2023

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

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

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

Combining kinetic orders for efficient S-System modelling of gene regulatory network.

Jaskaran Gill, Madhu Chetty, Adrian Shatte, Jennifer Hallinan

Biosyst., 2022

Filter feature selection based Boolean Modelling for Genetic Network Inference.

Hasini Nakulugamuwa Gamage, Madhu Chetty, Adrian Shatte, Jennifer Hallinan

Biosyst., 2022

The significance and impact of winning an academic award: a study of early career academics.

Jing Ren, Yajie Shi, Adrian Shatte, Xiangjie Kong, Feng Xia

Proceedings of the JCDL '22: The ACM/IEEE Joint Conference on Digital Libraries in 2022, Cologne, Germany, June 20, 2022

Integrating steady-state and dynamic gene expression data for improving genetic network modelling.

Jaskaran Gill, Madhu Chetty, Adrian Shatte, Jennifer Hallinan

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022

Ensemble Regression Modelling for Genetic Network Inference.

Hasini Nakulugamuwa Gamage, Madhu Chetty, Adrian Shatte, Jennifer Hallinan

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022

2021

SUMMER: Bias-aware Prediction of Graduate Employment Based on Educational Big Data.

Feng Xia, Teng Guo, Xiaomei Bai, Adrian Shatte, Zitao Liu, Jiliang Tang

Trans. Data Sci., 2021

Cost Effective Annotation Framework Using Zero-Shot Text Classification.

Buddhika Kasthuriarachchy, Madhu Chetty, Adrian Shatte, Darren Walls

Proceedings of the International Joint Conference on Neural Networks, 2021

Dynamically Regulated Initialization for S-system Modelling of Genetic Networks.

Jaskaran Gill, Madhu Chetty, Adrian Shatte, Jennifer Hallinan

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2021

An Efficient Boolean Modelling Approach for Genetic Network Inference.

Hasini Nakulugamuwa Gamage, Madhu Chetty, Adrian Shatte, Jennifer Hallinan

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2021

2020

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

2016

Untangling the Edits: User Attribution in Collaborative Report Writing for Emergency Management.

Adrian Shatte, Jason Holdsworth, Ickjai Lee

Proceedings of the Computational Science and Its Applications - ICCSA 2016, 2016

Web-Based Collaborative Document Writing for Emergency Management.

Adrian Shatte, Jason Holdsworth, Ickjai Lee

Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

2015

Multi-synchronous collaboration between desktop and mobile users: A case study of report writing for emergency management.

Adrian Shatte, Jason Holdsworth, Ickjai Lee

Proceedings of the Australasian Conference on Information Systems, 2015

2014

Mobile augmented reality based context-aware library management system.

Adrian Shatte, Jason Holdsworth, Ickjai Lee

Expert Syst. Appl., 2014

Hand-Held Mobile Augmented Reality for Collaborative Problem Solving: A Case Study with Sorting.

Adrian Shatte, Jason Holdsworth, Ickjai Lee

Proceedings of the 47th Hawaii International Conference on System Sciences, 2014

2013

Context-Aware Mobile Augmented Reality for Library Management.

Adrian Shatte, Jason Holdsworth, Ickjai Lee

Proceedings of the PRIMA 2013: Principles and Practice of Multi-Agent Systems, 2013