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Effects of a serious game on knowledge, attitude and practice in vector control and Dengue prevention among adults in primary care: A randomized controlled trial

Malaysian family physician, 2023-01, Vol.18, p.1-1

2023

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Respiratory Therapist-Driven Extubation Readiness Testing in a Single Pediatric ICU

Respiratory care, 2022-07, Vol.67 (7), p.833-841

2022

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Immersive Virtual Reality in Alleviating Pain and Anxiety in Children During Immunization in Primary Care: A Pilot Randomized Controlled Trial

Frontiers in pediatrics, 2022-03, Vol.10, p.847257-847257

2022

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Effects of a serious game on knowledge, attitude and practice in vector control and dengue prevention among adults in primary care: A randomised controlled trial

Digital health, 2022, Vol.8, p.205520762211290-20552076221129099

2022

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Towards Automatic Blocking of Shapes using Evolutionary Algorithm

Computer aided design, 2020-03, Vol.120, p.102798, Article 102798

2020

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PolarViz: a discriminating visualization and visual analytics tool for high-dimensional data

The Visual computer, 2019-11, Vol.35 (11), p.1567-1582

2019

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A General Domain Specific Feature Transfer Framework for Hybrid Domain Adaptation

IEEE transactions on knowledge and data engineering, 2019-08, Vol.31 (8), p.1440-1451

2019

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Feature Analysis of Marginalized Stacked Denoising Autoenconder for Unsupervised Domain Adaptation

IEEE transaction on neural networks and learning systems, 2019-05, Vol.30 (5), p.1321-1334

2019

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Multiproblem Surrogates: Transfer Evolutionary Multiobjective Optimization of Computationally Expensive Problems

IEEE transactions on evolutionary computation, 2019-02, Vol.23 (1), p.15-28

2019

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Automatic Blocking of Shapes Using Evolutionary Algorithm

27th International Meshing Roundtable, p.169-188

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Data-Driven Fault Detection of Electrical Machine

2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2018, p.515-520

2018

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Co-evolutionary multi-task learning for dynamic time series prediction

Applied soft computing, 2018-09, Vol.70, p.576-589

2018

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Evolutionary Multi-task Learning for Modular Knowledge Representation in Neural Networks

Neural processing letters, 2018-06, Vol.47 (3), p.993-1009

2018

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A Novel Time Series-Histogram of Features (TS-HoF) Method for Prognostic Applications

IEEE transactions on emerging topics in computational intelligence, 2018-06, Vol.2 (3), p.204-213

2018

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A Constrained Deep Neural Network for Ordinal Regression

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, p.831-839

2018

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Knowledge Transfer Through Machine Learning in Aircraft Design

IEEE computational intelligence magazine, 2017-11, Vol.12 (4), p.48-60

2017

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Evolutionary Cluster-Based Synthetic Oversampling Ensemble (ECO-Ensemble) for Imbalance Learning

IEEE transactions on cybernetics, 2017-09, Vol.47 (9), p.2850-2861

2017

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Co-evolutionary multi-task learning with predictive recurrence for multi-step chaotic time series prediction

Neurocomputing (Amsterdam), 2017-06, Vol.243, p.21-34

2017

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A fast sparse reconstruction approach for high resolution image-based object surface anomaly detection

2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA), 2017, p.13-16

2017

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Histogram equalization and specification for high-dimensional data visualization using RadViz

Proceedings of the Computer Graphics International Conference, 2017, p.1-6

2017

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Domain Specific Feature Transfer for Hybrid Domain Adaptation

2017 IEEE International Conference on Data Mining (ICDM), 2017, p.1027-1032

2017

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Data-Driven Inter-Turn Short Circuit Fault Detection in Induction Machines

IEEE access, 2017-01, Vol.5, p.25055-25068

2017

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Multimodal Degradation Prognostics Based on Switching Kalman Filter Ensemble

IEEE transaction on neural networks and learning systems, 2017-01, Vol.28 (1), p.136-148

2017

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Learning from small data: A pairwise approach for ordinal regression

2016 IEEE Symposium Series on Computational Intelligence (SSCI), 2016, p.1-6

2016

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Exploiting sparsity for image-based object surface anomaly detection

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, p.1986-1990

2016

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Effects of a serious game on knowledge, attitude and practice in vector control and Dengue prevention among adults in primary care: A randomized controlled trial

Respiratory Therapist-Driven Extubation Readiness Testing in a Single Pediatric ICU

Immersive Virtual Reality in Alleviating Pain and Anxiety in Children During Immunization in Primary Care: A Pilot Randomized Controlled Trial

Effects of a serious game on knowledge, attitude and practice in vector control and dengue prevention among adults in primary care: A randomised controlled trial

Towards Automatic Blocking of Shapes using Evolutionary Algorithm

PolarViz: a discriminating visualization and visual analytics tool for high-dimensional data

A General Domain Specific Feature Transfer Framework for Hybrid Domain Adaptation

Feature Analysis of Marginalized Stacked Denoising Autoenconder for Unsupervised Domain Adaptation

Multiproblem Surrogates: Transfer Evolutionary Multiobjective Optimization of Computationally Expensive Problems

Automatic Blocking of Shapes Using Evolutionary Algorithm

Data-Driven Fault Detection of Electrical Machine

Co-evolutionary multi-task learning for dynamic time series prediction

Evolutionary Multi-task Learning for Modular Knowledge Representation in Neural Networks

A Novel Time Series-Histogram of Features (TS-HoF) Method for Prognostic Applications

A Constrained Deep Neural Network for Ordinal Regression

Knowledge Transfer Through Machine Learning in Aircraft Design

Evolutionary Cluster-Based Synthetic Oversampling Ensemble (ECO-Ensemble) for Imbalance Learning

Co-evolutionary multi-task learning with predictive recurrence for multi-step chaotic time series prediction

A fast sparse reconstruction approach for high resolution image-based object surface anomaly detection

Histogram equalization and specification for high-dimensional data visualization using RadViz

Domain Specific Feature Transfer for Hybrid Domain Adaptation

Data-Driven Inter-Turn Short Circuit Fault Detection in Induction Machines

Multimodal Degradation Prognostics Based on Switching Kalman Filter Ensemble

Learning from small data: A pairwise approach for ordinal regression

Exploiting sparsity for image-based object surface anomaly detection

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