University of South Australia

research

∙ 08/13/2021

EEEA-Net: An Early Exit Evolutionary Neural Architecture Search

The goals of this research were to search for Convolutional Neural Netwo...

Chakkrit Termritthikun, et al. ∙

research

∙ 12/20/2021

Feature Selection for Efficient Local-to-Global Bayesian Network Structure Learning

Local-to-global learning approach plays an essential role in Bayesian ne...

Kui Yu, et al. ∙

research

∙ 06/06/2019

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

In recent years the possibility of relaxing the so-called Faithfulness a...

Zhalama, et al. ∙

research

∙ 08/30/2018

Artifacts Detection and Error Block Analysis from Broadcasted Videos

With the advancement of IPTV and HDTV technology, previous subtle errors...

Md. Mehedi Hasan, et al. ∙

research

∙ 01/23/2022

Iterative Joint Parameters Estimation and Decoding in a Distributed Receiver for Satellite Applications and Relevant Cramer-Rao Bounds

This paper presents an algorithm for iterative joint channel parameter (...

Ahsan Waqas, et al. ∙

research

∙ 07/02/2020

Computational methods for cancer driver discovery: A survey

Motivation: Uncovering the genomic causes of cancer, known as cancer dri...

Vu Viet Hoang Pham, et al. ∙

research

∙ 10/05/2021

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

Log analysis is an important technique that engineers use for troublesho...

Yongzheng Xie, et al. ∙

research

∙ 10/11/2021

Deep Video Anomaly Detection: Opportunities and Challenges

Anomaly detection is a popular and vital task in various research contex...

Jing Ren, et al. ∙

research

∙ 11/03/2021

Interpolation Estimator for Infinite Sets of Random Vectors

We propose an approach to the estimation of infinite sets of random vect...

Anatoli Torokhti, et al. ∙

research

∙ 11/04/2021

Extended Principal Component Analysis

Principal Component Analysis (PCA) is a transform for finding the princi...

Pablo Soto-Quiros, et al. ∙

research

∙ 11/05/2021

Second Degree Model for Multi-Compression and Recovery of Distributed Signals

We study the problem of multi-compression and reconstructing a stochasti...

Pablo Soto-Quiros, et al. ∙

research

∙ 11/10/2021

Data Compression: Multi-Term Approach

In terms of signal samples, we propose and justify a new rank reduced mu...

Pablo Soto-Quiros, et al. ∙

research

∙ 01/20/2022

Self-Awareness Safety of Deep Reinforcement Learning in Road Traffic Junction Driving

Autonomous driving has been at the forefront of public interest, and a p...

Zehong Cao, et al. ∙

research

∙ 05/21/2020

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...

Curtis Murray, et al. ∙

research

∙ 02/16/2022

Heterogeneous Graph Learning for Explainable Recommendation over Academic Networks

With the explosive growth of new graduates with research degrees every y...

Xiangtai Chen, et al. ∙

research

∙ 02/23/2022

Web of Scholars: A Scholar Knowledge Graph

In this work, we demonstrate a novel system, namely Web of Scholars, whi...

Jiaying Liu, et al. ∙

research

∙ 04/06/2022

CHIEF: Clustering with Higher-order Motifs in Big Networks

Clustering a group of vertices in networks facilitates applications acro...

Feng Xia, et al. ∙

research

∙ 04/16/2022

Visual Attention Methods in Deep Learning: An In-Depth Survey

Inspired by the human cognitive system, attention is a mechanism that im...

Mohammed Hassanin, et al. ∙

research

∙ 06/04/2022

Discovering Ancestral Instrumental Variables for Causal Inference from Observational Data

Instrumental variable (IV) is a powerful approach to inferring the causa...

Debo Cheng, et al. ∙

research

∙ 08/19/2022

Disentangled Representation with Causal Constraints for Counterfactual Fairness

Much research has been devoted to the problem of learning fair represent...

Ziqi Xu, et al. ∙

research

∙ 08/20/2022

Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey

In many fields of scientific research and real-world applications, unbia...

Debo Cheng, et al. ∙

research

∙ 10/14/2022

Towards Immersive Collaborative Sensemaking

When collaborating face-to-face, people commonly use the surfaces and sp...

Ying Yang, et al. ∙

research

∙ 12/11/2022

Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges

Anomaly analytics is a popular and vital task in various research contex...

Jing Ren, et al. ∙

research

∙ 11/06/2018

An exploration of algorithmic discrimination in data and classification

Algorithmic discrimination is an important aspect when data is used for ...

Jixue Liu, et al. ∙

research

∙ 03/16/2015

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

We present a neural network architecture and training method designed to...

Mark D. McDonnell, et al. ∙

research

∙ 12/29/2014

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...

Mark D. McDonnell, et al. ∙

research

∙ 10/11/2015

ParallelPC: an R package for efficient constraint based causal exploration

Discovering causal relationships from data is the ultimate goal of many ...

Thuc Duy Le, et al. ∙

research

∙ 03/02/2016

LOFS: Library of Online Streaming Feature Selection

As an emerging research direction, online streaming feature selection de...

Kui Yu, et al. ∙

research

∙ 11/13/2017

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

We provide a microeconomic framework for decision trees: a popular machi...

Timothy Brathwaite, et al. ∙

research

∙ 02/23/2018

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

For fast and energy-efficient deployment of trained deep neural networks...

Mark D. McDonnell, et al. ∙

research

∙ 08/20/2018

Discovering Context Specific Causal Relationships

With the increasing need of personalised decision making, such as person...

Saisai Ma, et al. ∙

research

∙ 08/29/2018

Binocular Rivalry - Psychovisual Challenge in Stereoscopic Video Error Concealment

During Stereoscopic 3D (S3D) video transmission, one or both views can b...

Md. Mehedi Hasan, et al. ∙

research

∙ 11/05/2018

FairMod - Making Predictive Models Discrimination Aware

Predictive models such as decision trees and neural networks may produce...

Jixue Liu, et al. ∙

research

∙ 06/26/2020

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...

J. C. Correa, et al. ∙

research

∙ 12/16/2018

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...

Asanka G Perera, et al. ∙

research

∙ 01/09/2019

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

Current UAV-recorded datasets are mostly limited to action recognition a...

Asanka G Perera, et al. ∙

research

∙ 02/13/2019

Stable multi-instance learning visa causal inference

Multi-instance learning (MIL) deals with tasks where each example is rep...

Weijia Zhang, et al. ∙

research

∙ 02/13/2019

Distributionally Robust Multi-instance Learning with Stable Instances

Multi-instance learning (MIL) deals with tasks where data consist of set...

Weijia Zhang, et al. ∙

research

∙ 04/22/2019

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

In this paper, we propose a novel algorithm to rectify illumination of t...

Seungjun Jung, et al. ∙

research

∙ 07/16/2019

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...

Mark D. McDonnell, et al. ∙

research

∙ 08/13/2019

Linking Graph Entities with Multiplicity and Provenance

Entity linking is a fundamental database problem with applicationsin dat...

Jixue Liu, et al. ∙

research

∙ 01/19/2020

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...

Heinz H. Bauschke, et al. ∙

research

∙ 09/12/2017

Automatic Ground Truths: Projected Image Annotations for Omnidirectional Vision

We present a novel data set made up of omnidirectional video of multiple...

Victor Stamatescu, et al. ∙

University of South Australia

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