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07/13/2023
Full-resolution Lung Nodule Segmentation from Chest X-ray Images using Residual Encoder-Decoder Networks
Lung cancer is the leading cause of cancer death and early diagnosis is ...
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05/18/2023
Ethical ChatGPT: Concerns, Challenges, and Commandments
Large language models, e.g. ChatGPT are currently contributing enormousl...
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03/13/2023
Meta-learning approaches for few-shot learning: A survey of recent advances
Despite its astounding success in learning deeper multi-dimensional data...
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01/03/2023
Genetic Imitation Learning by Reward Extrapolation
Imitation learning demonstrates remarkable performance in various domain...
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01/03/2023
Explaining Imitation Learning through Frames
As one of the prevalent methods to achieve automation systems, Imitation...
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12/30/2022
GANExplainer: GAN-based Graph Neural Networks Explainer
With the rapid deployment of graph neural networks (GNNs) based techniqu...
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09/16/2022
Self-Attentive Pooling for Efficient Deep Learning
Efficient custom pooling techniques that can aggressively trim the dimen...
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08/07/2022
Cross-Skeleton Interaction Graph Aggregation Network for Representation Learning of Mouse Social Behaviour
Automated social behaviour analysis of mice has become an increasingly p...
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08/01/2022
De-biased Representation Learning for Fairness with Unreliable Labels
Removing bias while keeping all task-relevant information is challenging...
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07/26/2022
A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation Metrics
Graph neural networks (GNNs) have demonstrated a significant boost in pr...
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06/15/2022
Detection of magnetohydrodynamic waves by using machine learning
Nonlinear wave interactions, such as shock refraction at an inclined den...
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05/10/2022
Incident duration prediction using a bi-level machine learning framework with outlier removal and intra-extra joint optimisation
Predicting the duration of traffic incidents is a challenging task due t...
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12/17/2021
Oil Spill SAR Image Segmentation via Probability Distribution Modelling
Segmentation of marine oil spills in Synthetic Aperture Radar (SAR) imag...
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09/29/2021
Infrared Small-Dim Target Detection with Transformer under Complex Backgrounds
The infrared small-dim target detection is one of the key techniques in ...
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09/29/2021
Understanding Relations Between Perception of Fairness and Trust in Algorithmic Decision Making
Algorithmic processes are increasingly employed to perform managerial de...
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07/07/2021
Bias-Tolerant Fair Classification
The label bias and selection bias are acknowledged as two reasons in dat...
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06/23/2021
Imitation Learning: Progress, Taxonomies and Opportunities
Imitation learning aims to extract knowledge from human experts' demonst...
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04/15/2021
Facilitating Machine Learning Model Comparison and Explanation Through A Radial Visualisation
Building an effective Machine Learning (ML) model for a data set is a di...
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04/15/2021
Variational Co-embedding Learning for Attributed Network Clustering
Recent works for attributed network clustering utilize graph convolution...
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03/11/2021
Boosted Genetic Algorithm using Machine Learning for traffic control optimization
Traffic control optimization is a challenging task for various traffic c...
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12/01/2020
Structured Context Enhancement Network for Mouse Pose Estimation
Automated analysis of mouse behaviours is crucial for many applications ...
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10/16/2020
Deep-HOSeq: Deep Higher Order Sequence Fusion for Multimodal Sentiment Analysis
Multimodal sentiment analysis utilizes multiple heterogeneous modalities...
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07/05/2020
Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia
The recent COVID-19 pandemic has caused unprecedented impact across the ...
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06/22/2020
Examination of community sentiment dynamics due to covid-19 pandemic: a case study from Australia
The outbreak of the novel Coronavirus Disease 2019 (COVID-19) has caused...
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06/05/2020
Utilizing machine learning to prevent water main breaks by understanding pipeline failure drivers
Data61 and Western Water worked collaboratively to apply engineering exp...
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01/08/2020
An improved online learning algorithm for general fuzzy min-max neural network
This paper proposes an improved version of the current online learning a...
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10/29/2019
Scalable Inference for Nonparametric Hawkes Process Using Pólya-Gamma Augmentation
In this paper, we consider the sigmoid Gaussian Hawkes process model: th...
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09/12/2019
Machine Learning in/for Blockchain: Future and Challenges
Machine learning (including deep and reinforcement learning) and blockch...
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06/06/2019
Fast Multi-resolution Segmentation for Nonstationary Hawkes Process Using Cumulants
The stationarity is assumed in vanilla Hawkes process, which reduces the...
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05/29/2019
An Effective Multi-Resolution Hierarchical Granular Representation based Classifier using General Fuzzy Min-Max Neural Network
Motivated by the practical demands for simplification of data towards be...
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05/14/2019
A Graph-Based Decoding Model for Incomplete Multi-Subject fMRI Functional Alignment
As a successful application of multi-view learning, Hyperalignment and S...
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10/20/2017
A Semantically Motivated Approach to Compute ROUGE Scores
ROUGE is one of the first and most widely used evaluation metrics for te...
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04/03/2017
AMC: Attention guided Multi-modal Correlation Learning for Image Search
Given a user's query, traditional image search systems rank images accor...
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05/23/2016
Stochastic Patching Process
Stochastic partition models tailor a product space into a number of rect...
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05/07/2016
