151 citations · 210 across the 13 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
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…
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…
Propensity-to-Pay: Machine Learning for Estimating Prediction Uncertainty
Md Abul Bashar, Astin-Walmsley Kieren, Heath Kerina +1
Predicting a customer's propensity-to-pay at an early point in the revenue cycle can provide organisations many opportunities to improve the customer experience, reduce hardship an…