University of South Australia

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The University of South Australia is a public research university in the Australian state of South Australia.

EEEA-Net: An Early Exit Evolutionary Neural Architecture Search

The goals of this research were to search for Convolutional Neural Netwo...
08/13/2021 ∙ by Chakkrit Termritthikun, et al. ∙ 10 ∙ share

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Artifacts Detection and Error Block Analysis from Broadcasted Videos

With the advancement of IPTV and HDTV technology, previous subtle errors...
08/30/2018 ∙ by Md. Mehedi Hasan, et al. ∙ 2 ∙ share

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ASP-based Discovery of Semi-Markovian Causal Models under Weaker Assumptions

In recent years the possibility of relaxing the so-called Faithfulness a...
06/06/2019 ∙ by Zhalama, et al. ∙ 2 ∙ share

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Automatic Ground Truths: Projected Image Annotations for Omnidirectional Vision

We present a novel data set made up of omnidirectional video of multiple...
09/12/2017 ∙ by Victor Stamatescu, et al. ∙ 0 ∙ share

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Enhanced Image Classification With a Fast-Learning Shallow Convolutional Neural Network

We present a neural network architecture and training method designed to...
03/16/2015 ∙ by Mark D. McDonnell, et al. ∙ 0 ∙ share

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Fast, simple and accurate handwritten digit classification by training shallow neural network classifiers with the 'extreme learning machine' algorithm

Recent advances in training deep (multi-layer) architectures have inspir...
12/29/2014 ∙ by Mark D. McDonnell, et al. ∙ 0 ∙ share

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ParallelPC: an R package for efficient constraint based causal exploration

Discovering causal relationships from data is the ultimate goal of many ...
10/11/2015 ∙ by Thuc Duy Le, et al. ∙ 0 ∙ share

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LOFS: Library of Online Streaming Feature Selection

As an emerging research direction, online streaming feature selection de...
03/02/2016 ∙ by Kui Yu, et al. ∙ 0 ∙ share

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Machine Learning Meets Microeconomics: The Case of Decision Trees and Discrete Choice

We provide a microeconomic framework for decision trees: a popular machi...
11/13/2017 ∙ by Timothy Brathwaite, et al. ∙ 0 ∙ share

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Training wide residual networks for deployment using a single bit for each weight

For fast and energy-efficient deployment of trained deep neural networks...
02/23/2018 ∙ by Mark D. McDonnell, et al. ∙ 0 ∙ share

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Discovering Context Specific Causal Relationships

With the increasing need of personalised decision making, such as person...
08/20/2018 ∙ by Saisai Ma, et al. ∙ 0 ∙ share

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Binocular Rivalry - Psychovisual Challenge in Stereoscopic Video Error Concealment

During Stereoscopic 3D (S3D) video transmission, one or both views can b...
08/29/2018 ∙ by Md. Mehedi Hasan, et al. ∙ 0 ∙ share

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FairMod - Making Predictive Models Discrimination Aware

Predictive models such as decision trees and neural networks may produce...
11/05/2018 ∙ by Jixue Liu, et al. ∙ 0 ∙ share

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An exploration of algorithmic discrimination in data and classification

Algorithmic discrimination is an important aspect when data is used for ...
11/06/2018 ∙ by Jixue Liu, et al. ∙ 0 ∙ share

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Human Pose and Path Estimation from Aerial Video using Dynamic Classifier Selection

We consider the problem of estimating human pose and trajectory by an ae...
12/16/2018 ∙ by Asanka G Perera, et al. ∙ 0 ∙ share

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UAV-GESTURE: A Dataset for UAV Control and Gesture Recognition

Current UAV-recorded datasets are mostly limited to action recognition a...
01/09/2019 ∙ by Asanka G Perera, et al. ∙ 0 ∙ share

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Stable multi-instance learning visa causal inference

Multi-instance learning (MIL) deals with tasks where each example is rep...
02/13/2019 ∙ by Weijia Zhang, et al. ∙ 0 ∙ share

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Distributionally Robust Multi-instance Learning with Stable Instances

Multi-instance learning (MIL) deals with tasks where data consist of set...
02/13/2019 ∙ by Weijia Zhang, et al. ∙ 0 ∙ share

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Water-Filling: An Efficient Algorithm for Digitized Document Shadow Removal

In this paper, we propose a novel algorithm to rectify illumination of t...
04/22/2019 ∙ by Seungjun Jung, et al. ∙ 0 ∙ share

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Single-bit-per-weight deep convolutional neural networks without batch-normalization layers for embedded systems

Batch-normalization (BN) layers are thought to be an integrally importan...
07/16/2019 ∙ by Mark D. McDonnell, et al. ∙ 0 ∙ share

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Linking Graph Entities with Multiplicity and Provenance

Entity linking is a fundamental database problem with applicationsin dat...
08/13/2019 ∙ by Jixue Liu, et al. ∙ 0 ∙ share

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On Dykstra's algorithm: finite convergence, stalling, and the method of alternating projections

A popular method for finding the projection onto the intersection of two...
01/19/2020 ∙ by Heinz H. Bauschke, et al. ∙ 0 ∙ share

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Symptom extraction from the narratives of personal experiences with COVID-19 on Reddit

Social media discussion of COVID-19 provides a rich source of informatio...
05/21/2020 ∙ by Curtis Murray, et al. ∙ 0 ∙ share

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The Sci-hub Effect: Sci-hub downloads lead to more article citations

Citations are often used as a metric of the impact of scientific publica...
06/26/2020 ∙ by J. C. Correa, et al. ∙ 0 ∙ share

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Computational methods for cancer driver discovery: A survey

Motivation: Uncovering the genomic causes of cancer, known as cancer dri...
07/02/2020 ∙ by Vu Viet Hoang Pham, et al. ∙ 0 ∙ share

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LogDP: Combining Dependency and Proximity for Log-based Anomaly Detection

Log analysis is an important technique that engineers use for troublesho...
10/05/2021 ∙ by Yongzheng Xie, et al. ∙ 0 ∙ share

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Deep Video Anomaly Detection: Opportunities and Challenges

Anomaly detection is a popular and vital task in various research contex...
10/11/2021 ∙ by Jing Ren, et al. ∙ 0 ∙ share

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University of South Australia

Featured Researchers

Lin Liu

Jiuyong Li

Ivan Lee

Kui Yu

Jixue Liu

Thuc Duy Le

Weijia Zhang

Mark D. McDonnell

Saisai Ma

Yee Wei Law

Victor Stamatescu

EEEA-Net: An Early Exit Evolutionary Neural Architecture Search

Artifacts Detection and Error Block Analysis from Broadcasted Videos

ASP-based Discovery of Semi-Markovian Causal Models under Weaker Assumptions

Automatic Ground Truths: Projected Image Annotations for Omnidirectional Vision

Enhanced Image Classification With a Fast-Learning Shallow Convolutional Neural Network

Fast, simple and accurate handwritten digit classification by training shallow neural network classifiers with the 'extreme learning machine' algorithm

ParallelPC: an R package for efficient constraint based causal exploration

LOFS: Library of Online Streaming Feature Selection

Machine Learning Meets Microeconomics: The Case of Decision Trees and Discrete Choice

Training wide residual networks for deployment using a single bit for each weight

Discovering Context Specific Causal Relationships

Binocular Rivalry - Psychovisual Challenge in Stereoscopic Video Error Concealment

FairMod - Making Predictive Models Discrimination Aware

An exploration of algorithmic discrimination in data and classification

Human Pose and Path Estimation from Aerial Video using Dynamic Classifier Selection

UAV-GESTURE: A Dataset for UAV Control and Gesture Recognition

Stable multi-instance learning visa causal inference

Distributionally Robust Multi-instance Learning with Stable Instances

Water-Filling: An Efficient Algorithm for Digitized Document Shadow Removal

Single-bit-per-weight deep convolutional neural networks without batch-normalization layers for embedded systems

Linking Graph Entities with Multiplicity and Provenance

On Dykstra's algorithm: finite convergence, stalling, and the method of alternating projections

Symptom extraction from the narratives of personal experiences with COVID-19 on Reddit

The Sci-hub Effect: Sci-hub downloads lead to more article citations

Computational methods for cancer driver discovery: A survey

LogDP: Combining Dependency and Proximity for Log-based Anomaly Detection

Deep Video Anomaly Detection: Opportunities and Challenges