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Feature selection for high dimensional imbalanced class data using harmony search

Engineering applications of artificial intelligence, 2017-01, Vol.57, p.38-49

2017

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Social media analytics in nutrition research: a rapid review of current usage in investigation of dietary behaviours

Public health nutrition, 2021-04, Vol.24 (6), p.1193-1209

2021

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Perinatal support for breastfeeding using mHealth: A mixed methods feasibility study of the My Baby Now app

Maternal and child nutrition, 2023-04, Vol.19 (2), p.e13482-n/a

2023

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Finding the Intersection of Neuroplasticity, Stroke Recovery, and Learning: Scope and Contributions to Stroke Rehabilitation

Neural plasticity, 2019-01, Vol.2019 (2019), p.1-15

2019

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Assessing User Engagement of an mHealth Intervention: Development and Implementation of the Growing Healthy App Engagement Index

JMIR mHealth and uHealth, 2017-06, Vol.5 (6), p.e89-e89

2017

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Can an incentive-based intervention increase physical activity and reduce sitting among adults? the ACHIEVE (Active Choices IncEntiVE) feasibility study

The international journal of behavioral nutrition and physical activity, 2017-03, Vol.14 (1), p.35-35, Article 35

2017

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Fraud detection: A systematic literature review of graph-based anomaly detection approaches

Decision Support Systems, 2020-06, Vol.133, p.113303, Article 113303

2020

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A Comparison of Recruitment Methods for an mHealth Intervention Targeting Mothers: Lessons from the Growing Healthy Program

Journal of medical Internet research, 2016-09, Vol.18 (9), p.e248-e248

2016

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Key Lessons and Impact of the Growing Healthy mHealth Program on Milk Feeding, Timing of Introduction of Solids, and Infant Growth: Quasi-Experimental Study

JMIR mHealth and uHealth, 2018-04, Vol.6 (4), p.e78-e78

2018

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A Mixed Methods Study to Explore the Effects of Program Design Elements and Participant Characteristics on Parents' Engagement With an mHealth Program to Promote Healthy Infant Feeding: The Growing Healthy Program

Frontiers in endocrinology (Lausanne), 2019-06, Vol.10, p.397-397

2019

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Dynamic swarm class rebalancing for the process mining of rare events

The Journal of supercomputing, 2021-07, Vol.77 (7), p.7549-7583

2021

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Protocol for an Effectiveness-Implementation Hybrid Trial to Evaluate Scale up of an Evidence-Based Intervention Addressing Lifestyle Behaviours From the Start of Life: INFANT

Frontiers in endocrinology (Lausanne), 2021-11, Vol.12, p.717468-717468

2021

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Training loads and injury risk in Australian football—differing acute: chronic workload ratios influence match injury risk

British journal of sports medicine, 2017-08, Vol.51 (16), p.1215-1220

2017

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Optimizing Preseason Training Loads in Australian Football

International journal of sports physiology and performance, 2018-02, Vol.13 (2), p.1-199

2018

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Preventing obesity in infants: the Growing healthy feasibility trial protocol

BMJ open, 2015-11, Vol.5 (11), p.e009258-e009258

2015

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Improving accuracy and lowering cost in crowdsourcing through an unsupervised expertise estimation approach

Decision Support Systems, 2019-07, Vol.122, p.113065, Article 113065

2019

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Artificial Intelligence and Knowledge Processing: Third International Conference, AIKP 2023, Hyderabad, India, October 6-8, 2023, Revised Selected Papers

1, 2024

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Modeling Training Loads and Injuries: The Dangers of Discretization

Medicine and science in sports and exercise, 2018-11, Vol.50 (11), p.2267-2276

2018

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Preface to the Special Section of Selected Papers from the Australasian Conference on Data Mining (AusDM) 2016

AJIS. Australasian journal of information systems, 2017-01, Vol.21

2017

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DarkNetExplorer (DNE): Exploring dark multi-layer networks beyond the resolution limit

Decision Support Systems, 2021-07, Vol.146, p.113537, Article 113537

2021

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Framework and Literature Analysis for Crowdsourcing's Answer Aggregation

The Journal of computer information systems, 2020-01, Vol.60 (1), p.49-60

2020

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2Loud?: Community mapping of exposure to traffic noise with mobile phones

Environmental monitoring and assessment, 2014-10, Vol.186 (10), p.6193-6206

2014

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Sleep pattern inference using IoT sonar monitoring and machine learning with Kennard-stone balance algorithm

Computers & electrical engineering, 2021-07, Vol.93, p.107181, Article 107181

2021

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Towards Next Generation Rubrics: An Automated Assignment Feedback System

AJIS. Australasian journal of information systems, 2017-01, Vol.21

2017

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The impacts of an mHealth intervention targeting parents on health service usage and out-of-pocket costs in the first 9 months of life: The Growing healthy app

Maternal and child nutrition, 2024-05, Vol.20 (4), p.e13662-e13662

2024

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Feature selection for high dimensional imbalanced class data using harmony search

Social media analytics in nutrition research: a rapid review of current usage in investigation of dietary behaviours

Perinatal support for breastfeeding using mHealth: A mixed methods feasibility study of the My Baby Now app

Finding the Intersection of Neuroplasticity, Stroke Recovery, and Learning: Scope and Contributions to Stroke Rehabilitation

Assessing User Engagement of an mHealth Intervention: Development and Implementation of the Growing Healthy App Engagement Index

Can an incentive-based intervention increase physical activity and reduce sitting among adults? the ACHIEVE (Active Choices IncEntiVE) feasibility study

Fraud detection: A systematic literature review of graph-based anomaly detection approaches

A Comparison of Recruitment Methods for an mHealth Intervention Targeting Mothers: Lessons from the Growing Healthy Program

Key Lessons and Impact of the Growing Healthy mHealth Program on Milk Feeding, Timing of Introduction of Solids, and Infant Growth: Quasi-Experimental Study

A Mixed Methods Study to Explore the Effects of Program Design Elements and Participant Characteristics on Parents' Engagement With an mHealth Program to Promote Healthy Infant Feeding: The Growing Healthy Program

Dynamic swarm class rebalancing for the process mining of rare events

Protocol for an Effectiveness-Implementation Hybrid Trial to Evaluate Scale up of an Evidence-Based Intervention Addressing Lifestyle Behaviours From the Start of Life: INFANT

Training loads and injury risk in Australian football—differing acute: chronic workload ratios influence match injury risk

Optimizing Preseason Training Loads in Australian Football

Preventing obesity in infants: the Growing healthy feasibility trial protocol

Improving accuracy and lowering cost in crowdsourcing through an unsupervised expertise estimation approach

Artificial Intelligence and Knowledge Processing: Third International Conference, AIKP 2023, Hyderabad, India, October 6-8, 2023, Revised Selected Papers

Modeling Training Loads and Injuries: The Dangers of Discretization

Preface to the Special Section of Selected Papers from the Australasian Conference on Data Mining (AusDM) 2016

DarkNetExplorer (DNE): Exploring dark multi-layer networks beyond the resolution limit

Framework and Literature Analysis for Crowdsourcing's Answer Aggregation

2Loud?: Community mapping of exposure to traffic noise with mobile phones

Sleep pattern inference using IoT sonar monitoring and machine learning with Kennard-stone balance algorithm

Towards Next Generation Rubrics: An Automated Assignment Feedback System

The impacts of an mHealth intervention targeting parents on health service usage and out-of-pocket costs in the first 9 months of life: The Growing healthy app

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