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An open-data-driven agent-based model to simulate infectious disease outbreaks

PloS one, 2018-12, Vol.13 (12), p.e0208775-e0208775

2018

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Anomaly Detection in Raw Audio Using Deep Autoregressive Networks

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, p.3597-3601

2019

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Academic Performance Prediction Based on Multisource, Multifeature Behavioral Data

IEEE access, 2021, Vol.9, p.5453-5465

2021

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Stability of topic modeling via matrix factorization

Expert systems with applications, 2018-01, Vol.91, p.159-169

2018

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The Deep Radial Basis Function Data Descriptor (D-RBFDD) Network: A One-Class Neural Network for Anomaly Detection

IEEE access, 2022, Vol.10, p.70645-70661

2022

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A Thorough Examination of Morning Activity Patterns in Adults with Arthritis and Healthy Controls Using Actigraphy Data

Digital biomarkers, 2020-09, Vol.4 (3), p.78-88

2020

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A Hybrid Agent-Based and Equation Based Model for the Spread of Infectious Diseases

Journal of artificial societies and social simulation, 2020-10, Vol.23 (4)

2020

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Deep learning at the shallow end: Malware classification for non-domain experts

Digital investigation, 2018-07, Vol.26, p.S118-S126

2018

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Overlapping community finding with noisy pairwise constraints

Applied network science, 2020-12, Vol.5 (1), p.98-98, Article 98

2020

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A Novel Method for Quantitative Analysis of C-Reactive Protein Lateral Flow Immunoassays Images via CMOS Sensor and Recurrent Neural Networks

IEEE journal of translational engineering in health and medicine, 2021-01, Vol.9, p.1-15

2021

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A Two-Stage De-Identification Process for Privacy-Preserving Medical Image Analysis

Healthcare (Basel), 2022-04, Vol.10 (5), p.755

2022

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A Taxonomy for Agent-Based Models in Human Infectious Disease Epidemiology

Journal of artificial societies and social simulation, 2017-06, Vol.20 (3)

2017

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“It’s Not as Simple as Just Looking at One Chart”: A Qualitative Study Exploring Clinician’s Opinions on Various Visualisation Strategies to Represent Longitudinal Actigraphy Data

Digital biomarkers, 2020-12, Vol.4 (Suppl 1), p.87-99

2020

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A multi‐label cascaded neural network classification algorithm for automatic training and evolution of deep cascaded architecture

Expert systems, 2021-11, Vol.38 (7), p.n/a

2021

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A Model for the Spread of Infectious Diseases in a Region

International journal of environmental research and public health, 2020-04, Vol.17 (9), p.3119

2020

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The Effects of Media Bias on News Recommendations

IEEE access, 2024, Vol.12, p.83391-83404

2024

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COVID-19 modelling by time-varying transmission rate associated with mobility trend of driving via Apple Maps

Journal of biomedical informatics, 2021-10, Vol.122, p.103905-103905, Article 103905

2021

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Dynamic estimation of worker reliability in crowdsourcing for regression tasks: Making it work

Expert systems with applications, 2014-10, Vol.41 (14), p.6190-6210

2014

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Correction: An open-data-driven agent-based model to simulate infectious disease outbreaks

PloS one, 2019-01, Vol.14 (1), p.e0211245-e0211245

2019

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KalmanTune: A Kalman filter based tuning method to make boosted ensembles robust to class-label noise

IEEE access, 2020-01, Vol.8, p.1-1

2020

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A Sentence-Level Hierarchical BERT Model for Document Classification with Limited Labelled Data

Discovery Science, p.231-241

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Semi-supervised dry herbage mass estimation using automatic data and synthetic images

2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021, p.1284-1293

2021

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Using a Socioeconomic Segregation Burn-in Model to Initialise an Agent-Based Model for Infectious Diseases

Journal of artificial societies and social simulation, 2018-10, Vol.21 (4)

2018

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CowMesh: a data-mesh architecture to unify dairy industry data for prediction and monitoring

Frontiers in artificial intelligence, 2023-10, Vol.6, p.1209507-1209507

2023

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Enhance Categorisation Of Multilevel High-Sensitivity Cardiovascular Biomarkers From Lateral Flow Immunoassay Images Via Neural Networks And Dynamic Time Warping

2020 IEEE International Conference on Image Processing (ICIP), 2020, p.365-369

2020

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An open-data-driven agent-based model to simulate infectious disease outbreaks

Anomaly Detection in Raw Audio Using Deep Autoregressive Networks

Academic Performance Prediction Based on Multisource, Multifeature Behavioral Data

Stability of topic modeling via matrix factorization

The Deep Radial Basis Function Data Descriptor (D-RBFDD) Network: A One-Class Neural Network for Anomaly Detection

A Thorough Examination of Morning Activity Patterns in Adults with Arthritis and Healthy Controls Using Actigraphy Data

A Hybrid Agent-Based and Equation Based Model for the Spread of Infectious Diseases

Deep learning at the shallow end: Malware classification for non-domain experts

Overlapping community finding with noisy pairwise constraints

A Novel Method for Quantitative Analysis of C-Reactive Protein Lateral Flow Immunoassays Images via CMOS Sensor and Recurrent Neural Networks

A Two-Stage De-Identification Process for Privacy-Preserving Medical Image Analysis

A Taxonomy for Agent-Based Models in Human Infectious Disease Epidemiology

“It’s Not as Simple as Just Looking at One Chart”: A Qualitative Study Exploring Clinician’s Opinions on Various Visualisation Strategies to Represent Longitudinal Actigraphy Data

A multi‐label cascaded neural network classification algorithm for automatic training and evolution of deep cascaded architecture

A Model for the Spread of Infectious Diseases in a Region

The Effects of Media Bias on News Recommendations

COVID-19 modelling by time-varying transmission rate associated with mobility trend of driving via Apple Maps

Dynamic estimation of worker reliability in crowdsourcing for regression tasks: Making it work

Correction: An open-data-driven agent-based model to simulate infectious disease outbreaks

KalmanTune: A Kalman filter based tuning method to make boosted ensembles robust to class-label noise

A Sentence-Level Hierarchical BERT Model for Document Classification with Limited Labelled Data

Semi-supervised dry herbage mass estimation using automatic data and synthetic images

Using a Socioeconomic Segregation Burn-in Model to Initialise an Agent-Based Model for Infectious Diseases

CowMesh: a data-mesh architecture to unify dairy industry data for prediction and monitoring

Enhance Categorisation Of Multilevel High-Sensitivity Cardiovascular Biomarkers From Lateral Flow Immunoassay Images Via Neural Networks And Dynamic Time Warping

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