Eng-Jon Ong
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View article: Genomic analyses of arugula (Eruca sativa) accessions reveal domestication history and breeding insights
Genomic analyses of arugula (Eruca sativa) accessions reveal domestication history and breeding insights Open
Eruca sativa , or arugula, a leafy vegetable from the Mediterranean region, is gaining popularity worldwide. However, its domestication history and genetic diversity remain poorly understood. This study investigates the genetic background …
View article: Ga$_2$O$_3$ TCAD Mobility Parameter Calibration using Simulation Augmented Machine Learning with Physics Informed Neural Network
Ga$_2$O$_3$ TCAD Mobility Parameter Calibration using Simulation Augmented Machine Learning with Physics Informed Neural Network Open
In this paper, we demonstrate the feasibility of performing automatic Technology Computer Aided Design (TCAD) parameter calibration and extraction using machine learning, with the machine trained solely by TCAD simulation data. The methodo…
View article: Australian Community Pharmacists' Preparedness to Offer and Discuss Hepatitis C Testing and Treatment With Pharmacy Clients: A Representative Cross‐Sectional Survey
Australian Community Pharmacists' Preparedness to Offer and Discuss Hepatitis C Testing and Treatment With Pharmacy Clients: A Representative Cross‐Sectional Survey Open
The World Health Organisation (WHO) has set goals to eliminate hepatitis C (HCV) as a global health threat by 2030. To meet this goal, Australia must increase testing and diagnosis, including expanding access to care through community phar…
View article: Single-cell subcellular protein localisation using novel ensembles of diverse deep architectures
Single-cell subcellular protein localisation using novel ensembles of diverse deep architectures Open
Unravelling protein distributions within individual cells is vital to understanding their function and state and indispensable to developing new treatments. Here we present the Hybrid subCellular Protein Localiser (HCPL), which learns from…
View article: Single-cell Subcellular Protein Localisation Using Novel Ensembles of Diverse Deep Architectures
Single-cell Subcellular Protein Localisation Using Novel Ensembles of Diverse Deep Architectures Open
Unravelling protein distributions within individual cells is key to understanding their function and state and indispensable to developing new treatments. Here we present the Hybrid subCellular Protein Localiser (HCPL), which learns from w…
View article: Understanding the Distributions of Aggregation Layers in Deep Neural Networks
Understanding the Distributions of Aggregation Layers in Deep Neural Networks Open
The process of aggregation is ubiquitous in almost all deep nets models. It functions as an important mechanism for consolidating deep features into a more compact representation, whilst increasing robustness to overfitting and providing s…
View article: ACTNET: End-to-End Learning of Feature Activations and Multi-stream Aggregation for Effective Instance Image Retrieval
ACTNET: End-to-End Learning of Feature Activations and Multi-stream Aggregation for Effective Instance Image Retrieval Open
View article: ACTNET: end-to-end learning of feature activations and multi-stream\n aggregation for effective instance image retrieval
ACTNET: end-to-end learning of feature activations and multi-stream\n aggregation for effective instance image retrieval Open
We propose a novel CNN architecture called ACTNET for robust instance image\nretrieval from large-scale datasets. Our key innovation is a learnable\nactivation layer designed to improve the signal-to-noise ratio (SNR) of deep\nconvolutiona…
View article: ACTNET: end-to-end learning of feature activations and aggregation for effective instance image retrieval
ACTNET: end-to-end learning of feature activations and aggregation for effective instance image retrieval Open
We propose a novel CNN architecture called ACTNET for robust instance image retrieval from large-scale datasets. Our key innovation is a learnable activation layer designed to improve the signal-to-noise ratio (SNR) of deep convolutional f…
View article: Deep Architectures and Ensembles for Semantic Video Classification
Deep Architectures and Ensembles for Semantic Video Classification Open
This work addresses the problem of accurate semantic labelling of short videos. To this end, a multitude of different deep nets, ranging from traditional recurrent neural networks (LSTM, GRU), temporal agnostic networks (FV,VLAD,BoW), full…
View article: Cultivating DNN Diversity for Large Scale Video Labelling
Cultivating DNN Diversity for Large Scale Video Labelling Open
We investigate factors controlling DNN diversity in the context of the Google Cloud and YouTube-8M Video Understanding Challenge. While it is well-known that ensemble methods improve prediction performance, and that combining accurate but …
View article: Siamese Network of Deep Fisher-Vector Descriptors for Image Retrieval
Siamese Network of Deep Fisher-Vector Descriptors for Image Retrieval Open
This paper addresses the problem of large scale image retrieval, with the aim of accurately ranking the similarity of a large number of images to a given query image. To achieve this, we propose a novel Siamese network. This network consis…
View article: Learning multi-class discriminative patterns using episode-trees
Learning multi-class discriminative patterns using episode-trees Open
In this paper, we aim to tackle the problem of recognising temporal sequences in the context of a multi-class problem. In the past, the representation of sequential patterns was used for modelling discriminative temporal patterns for diffe…