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Md Abul Bashar
Md Abul Bashar
Postdoctoral Research Fellow
Verified email at qut.edu.au - Homepage
Title
Cited by
Cited by
Year
TAnoGAN: Time series anomaly detection with generative adversarial networks
MA Bashar, R Nayak
2020 IEEE Symposium Series on Computational Intelligence (SSCI), 1778-1785, 2020
1192020
Regularising LSTM classifier by transfer learning for detecting misogynistic tweets with small training set
MA Bashar, R Nayak, N Suzor
Knowledge and Information Systems, 2020
422020
Multi-layer manifold learning for deep non-negative matrix factorization-based multi-view clustering
K Luong, R Nayak, T Balasubramaniam, MA Bashar
Pattern Recognition 131, 108815, 2022
402022
Qutnocturnal@ hasoc'19: Cnn for hate speech and offensive content identification in hindi language
MA Bashar, R Nayak
arXiv preprint arXiv:2008.12448, 2020
372020
Misogynistic tweet detection: Modelling CNN with small datasets
MA Bashar, R Nayak, NP Suzor, B Weir
Australasian Data Mining Conference, 2018
302018
Progressive domain adaptation for detecting hate speech on social media with small training set and its application to COVID-19 concerned posts
MA Bashar, R Nayak, K Luong, T Balasubramaniam
Social Network Analysis and Mining 11 (1), 69, 2021
252021
Identifying covid-19 misinformation tweets and learning their spatio-temporal topic dynamics using nonnegative coupled matrix tensor factorization
T Balasubramaniam, R Nayak, K Luong, MA Bashar
Social Network Analysis and Mining 11 (1), 57, 2021
202021
Active learning for effectively fine-tuning transfer learning to downstream task
MA Bashar, R Nayak
ACM Transactions on Intelligent Systems and Technology (TIST) 12 (2), 1-24, 2021
172021
A review and prospects of quantum teleportation
MA Bashar, MA Chowdhury, R Islam, MS Rahman, SK Das
2009 International Conference on Computer and Automation Engineering, 213-217, 2009
172009
Finding semantically valid and relevant topics by association-based topic selection model
Y Gao, Y Li, RYK Lau, Y Xu, MA Bashar
ACM Transactions on Intelligent Systems and Technology (TIST) 9 (1), 1-22, 2017
162017
Understanding the spatio-temporal topic dynamics of covid-19 using nonnegative tensor factorization: a case study
T Balasubramaniam, R Nayak, MA Bashar
2020 IEEE symposium series on computational intelligence (SSCI), 1218-1225, 2020
142020
Deep learning based topic and sentiment analysis: COVID19 information seeking on social media
MA Bashar, R Nayak, T Balasubramaniam
Social Network Analysis and Mining 12 (1), 90, 2022
112022
Interpretation of text patterns
MA Bashar, Y Li
Data Mining and Knowledge Discovery 32, 849-884, 2018
112018
Exploring fusion strategies in deep learning models for multi-modal classification
D Zhang, R Nayak, MA Bashar
Australasian Conference on Data Mining, 102-117, 2021
102021
Text-independent speaker identification system using average pitch and formant analysis
MA Bashar, MT Ahmed, M Syduzzaman, PJ Ray, AT Islam
International Journal on Information Theory (IJIT) 3 (3), 23-30, 2014
102014
First, do no harm: automated detection of abusive comments in student evaluation of teaching surveys
S Cunningham, M Laundon, A Cathcart, MA Bashar, R Nayak
Assessment & Evaluation in Higher Education 48 (3), 377-389, 2023
92023
A framework for automatic personalised ontology learning
MA Bashar, Y Li, Y Gao
2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI), 105-112, 2016
92016
Topic, sentiment and impact analysis: Covid19 information seeking on social media
MA Bashar, R Nayak, T Balasubramaniam
arXiv preprint arXiv:2008.12435, 2020
72020
Random-Sets for Dealing with Uncertainties in Relevance Feature
AS Alharbi, MA Bashar, Y Li
Australasian Joint Conference on Artificial Intelligence, 656-668, 2018
62018
Machine learning for predicting propensity-to-pay energy bills
MA Bashar, R Nayak, K Astin-Walmsley, K Heath
Intelligent Systems with Applications 17, 200176, 2023
52023
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