Thirunavukarasu Balasubramaniam
Affiliations: | Queensland University of Technology (Australia) |
Area:
Machine Learning, Data mining, OptimizationGoogle:
"Thirunavukarasu Balasubramaniam"Mean distance: (not calculated yet)
Parents
Sign in to add mentor| Richi Nayak | grad student | 2016-2019 | Electrical Engineering and Computer Science |
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Publications
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| Bashar MA, Nayak R, Balasubramaniam T. (2022) Deep learning based topic and sentiment analysis: COVID19 information seeking on social media. Social Network Analysis and Mining. 12: 90 |
| Balasubramaniam T, Warne DJ, Nayak R, et al. (2022) Explainability of the COVID-19 epidemiological model with nonnegative tensor factorization. International Journal of Data Science and Analytics. 1-14 |
| White NM, Balasubramaniam T, Nayak R, et al. (2022) An observational analysis of the trope "A p-value of < 0.05 was considered statistically significant" and other cut-and-paste statistical methods. Plos One. 17: e0264360 |
| Bashar MA, Nayak R, Luong K, et al. (2021) Progressive domain adaptation for detecting hate speech on social media with small training set and its application to COVID-19 concerned posts. Social Network Analysis and Mining. 11: 69 |
| Balasubramaniam T, Nayak R, Luong K, et al. (2021) Identifying Covid-19 misinformation tweets and learning their spatio-temporal topic dynamics using Nonnegative Coupled Matrix Tensor Factorization. Social Network Analysis and Mining. 11: 57 |
| Balasubramaniam T, Nayak R, Yuen C, et al. (2020) Efficient Nonnegative Tensor Factorization via Saturating Coordinate Descent Acm Transactions On Knowledge Discovery From Data. 14: 1-28 |
| Balasubramaniam T, Nayak R, Yuen C, et al. (2020) Column-wise Element Selection for Computationally Efficient Nonnegative Coupled Matrix Tensor Factorization Ieee Transactions On Knowledge and Data Engineering. 1-1 |
| Marakkalage SH, Sarica S, Lau BPL, et al. (2019) Understanding the Lifestyle of Older Population: Mobile Crowdsensing Approach Ieee Transactions On Computational Social Systems. 6: 82-95 |