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08/13/2023
ALGAN: Time Series Anomaly Detection with Adjusted-LSTM GAN
Anomaly detection in time series data, to identify points that deviate f...
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03/25/2023
Informed Machine Learning, Centrality, CNN, Relevant Document Detection, Repatriation of Indigenous Human Remains
Among the pressing issues facing Australian and other First Nations peop...
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11/19/2021
Unsupervised Visual Time-Series Representation Learning and Clustering
Time-series data is generated ubiquitously from Internet-of-Things (IoT)...
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11/05/2021
Nonnegative Matrix Factorization to understand Spatio-Temporal Traffic Pattern Variations during COVID-19: A Case Study
Due to the rapid developments in Intelligent Transportation System (ITS)...
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11/05/2021
A Semi-automatic Data Extraction System for Heterogeneous Data Sources: A Case Study from Cotton Industry
With the recent developments in digitisation, there are increasing numbe...
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11/05/2021
Investigation of Topic Modelling Methods for Understanding the Reports of the Mining Projects in Queensland
In the mining industry, many reports are generated in the project manage...
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10/12/2021
Deep Learning for Bias Detection: From Inception to Deployment
To create a more inclusive workplace, enterprises are actively investing...
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09/19/2020
Understanding the Spatio-temporal Topic Dynamics of Covid-19 using Nonnegative Tensor Factorization: A Case Study
Social media platforms facilitate mankind a data-driven world by enablin...
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09/07/2020
Learning Inter- and Intra-manifolds for Matrix Factorization-based Multi-Aspect Data Clustering
Clustering on the data with multiple aspects, such as multi-view or mult...
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08/28/2020
Misogynistic Tweet Detection: Modelling CNN with Small Datasets
Online abuse directed towards women on the social media platform Twitter...
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08/28/2020
QutNocturnal@HASOC'19: CNN for Hate Speech and Offensive Content Identification in Hindi Language
We describe our top-team solution to Task 1 for Hindi in the HASOC conte...
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08/28/2020
Topic, Sentiment and Impact Analysis: COVID19 Information Seeking on Social Media
When people notice something unusual, they discuss it on social media. T...
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08/27/2020
Propensity-to-Pay: Machine Learning for Estimating Prediction Uncertainty
Predicting a customer's propensity-to-pay at an early point in the reven...
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08/21/2020
TAnoGAN: Time Series Anomaly Detection with Generative Adversarial Networks
Anomaly detection in time series data is a significant problem faced in ...
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03/07/2020
Efficient Nonnegative Tensor Factorization via Saturating Coordinate Descent
With the advancements in computing technology and web-based applications...
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03/07/2020
Columnwise Element Selection for Computationally Efficient Nonnegative Coupled Matrix Tensor Factorization
Coupled Matrix Tensor Factorization (CMTF) facilitates the integration a...
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05/21/2015
Parallel Streaming Signature EM-tree: A Clustering Algorithm for Web Scale Applications
The proliferation of the web presents an unsolved problem of automatical...
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05/10/2011
