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Deep Learning for Bias Detection: From Inception to Deployment



Md Abul Bashar , Richi Nayak , Anjor Kothare , Vishal Sharma , Kesavan Kandadai


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Automatic Monitoring Social Dynamics During Big Incidences: A Case Study of COVID-19 in Bangladesh



Fahim Shahriar , Md Abul Bashar

* Very minor change 

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TAnoGAN: Time Series Anomaly Detection with Generative Adversarial Networks



Md Abul Bashar , Richi Nayak

* Made some minor changes. This is the accepted version of the paper at AusDM'20 

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



Thirunavukarasu Balasubramaniam , Richi Nayak , Md Abul Bashar

* Accepted in 18th Australasian Data Mining Conference (AusDM) 

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Misogynistic Tweet Detection: Modelling CNN with Small Datasets



Md Abul Bashar , Richi Nayak , Nicolas Suzor , Bridget Weir

* Australasian Conference on Data Mining. Springer. 3--16, 2018 

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[email protected]'19: CNN for Hate Speech and Offensive Content Identification in Hindi Language



Md Abul Bashar , Richi Nayak

* CEUR Workshop Proceedings. Working Notes of FIRE 2019 - Forum for Information Retrieval Evaluation. Vol. 2517. Sun SITE Central Europe, Germany, pp. 237-245 

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



Md Abul Bashar , Richi Nayak , Thirunavukarasu Balasubramaniam


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Propensity-to-Pay: Machine Learning for Estimating Prediction Uncertainty



Md Abul Bashar , Astin-Walmsley Kieren , Heath Kerina , Richi Nayak


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