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20112023
most citedTAnoGAN: Time Series Anomaly Detection with Generative Adversarial Networks

151 citations · 247 across the 19 of their papers we have counts for

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Showing 2020Show all

9 papers · 1 filter

cs.CV2020★ 151 cited

TAnoGAN: Time Series Anomaly Detection with Generative Adversarial Networks

Md Abul Bashar, Richi Nayak

Anomaly detection in time series data is a significant problem faced in many application areas such as manufacturing, medical imaging and cyber-security. Recently, Generative Adver…

cs.SI2020★ 1 cited

Understanding the Spatio-temporal Topic Dynamics of Covid-19 using Nonnegative Tensor Factorization: A Case Study

Thirunavukarasu Balasubramaniam, Richi Nayak, Md Abul Bashar

Social media platforms facilitate mankind a data-driven world by enabling billions of people to share their thoughts and activities ubiquitously. This huge collection of data, if a…

cs.LG2020★ 1 cited

Learning Inter- and Intra-manifolds for Matrix Factorization-based Multi-Aspect Data Clustering

Khanh Luong, Richi Nayak

Clustering on the data with multiple aspects, such as multi-view or multi-type relational data, has become popular in recent years due to their wide applicability. The approach usi…

cs.CL2020★ 23 cited

Misogynistic Tweet Detection: Modelling CNN with Small Datasets

Md Abul Bashar, Richi Nayak, Nicolas Suzor +1

Online abuse directed towards women on the social media platform Twitter has attracted considerable attention in recent years. An automated method to effectively identify misogynis…

cs.CL2020★ 11 cited

QutNocturnal@HASOC'19: CNN for Hate Speech and Offensive Content Identification in Hindi Language

Md Abul Bashar, Richi Nayak

We describe our top-team solution to Task 1 for Hindi in the HASOC contest organised by FIRE 2019. The task is to identify hate speech and offensive language in Hindi. More specifi…

cs.SI2020★ 1 cited

Topic, Sentiment and Impact Analysis: COVID19 Information Seeking on Social Media

Md Abul Bashar, Richi Nayak, Thirunavukarasu Balasubramaniam

When people notice something unusual, they discuss it on social media. They leave traces of their emotions via text expressions. A systematic collection, analysis, and interpretati…