Thirunavukarasu Balasubramaniam
Thirunavukarasu Balasubramaniam
Research Fellow, Queensland University of Technology(QUT), Australia
Verified email at - Homepage
Cited by
Cited by
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
Understanding the lifestyle of older population: Mobile crowdsensing approach
SH Marakkalage, S Sarica, BPL Lau, SK Viswanath, T Balasubramaniam, ...
IEEE Transactions on Computational Social Systems 6 (1), 82-95, 2018
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
Extracting point of interest and classifying environment for low sampling crowd sensing smartphone sensor data
BPL Lau, MS Hasala, VS Kadaba, B Thirunavukarasu, C Yuen, B Yuen, ...
2017 IEEE International Conference on Pervasive Computing and Communications …, 2017
Can we define design? Analyzing twenty years of debate on a large email discussion list
A Blackler, L Swann, M Chamorro-Koc, WA Mohotti, T Balasubramaniam, ...
She Ji: The Journal of Design, Economics, and Innovation 7 (1), 41-70, 2021
Battery integrated solar photovoltaic energy management system for micro-grid
K Thirugnanam, SG Kerk, C Yuen, B Thirunavukarasu
2015 IEEE Innovative Smart Grid Technologies-Asia (ISGT ASIA), 1-7, 2015
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
An observational analysis of the trope “A p-value of< 0.05 was considered statistically significant” and other cut-and-paste statistical methods
NM White, T Balasubramaniam, R Nayak, AG Barnett
PLoS One 17 (3), e0264360, 2022
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
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
Fine-grained type inference in knowledge graphs via probabilistic and tensor factorization methods
ABM Moniruzzaman, R Nayak, M Tang, T Balasubramaniam
The World Wide Web Conference, 3093-3100, 2019
A novel technique of using coupled matrix and greedy coordinate descent for multi-view data representation
K Luong, T Balasubramaniam, R Nayak
Web Information Systems Engineering–WISE 2018: 19th International Conference …, 2018
Efficient nonnegative tensor factorization via saturating coordinate descent
T Balasubramaniam, R Nayak, C Yuen
ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (4), 1-28, 2020
Nonnegative coupled matrix tensor factorization for smart city spatiotemporal pattern mining
T Balasubramaniam, R Nayak, C Yuen
International Conference on Machine Learning, Optimization, and Data Science …, 2018
People to People Recommendation using Coupled Nonnegative Boolean Matrix Factorization
B Thirunavukarasu, N Richi, C Yuen
2018 International Conference on Soft-computing and Network Security (ICSNS …, 2018
Identifying points of interest for elderly in singapore through mobile crowdsensing
SH Marakkalage, BPL Lau, VS Kadaba, T Balasubramaniam, C Yuen, ...
Topic, sentiment and impact analysis: Covid19 information seeking on social media
MA Bashar, R Nayak, T Balasubramaniam
arXiv preprint arXiv:2008.12435, 2020
Column-wise element selection for computationally efficient nonnegative coupled matrix tensor factorization
T Balasubramaniam, R Nayak, C Yuen, YC Tian
IEEE Transactions on Knowledge and Data Engineering 33 (9), 3173-3186, 2020
Explainability of the COVID-19 epidemiological model with nonnegative tensor factorization
T Balasubramaniam, DJ Warne, R Nayak, K Mengersen
International Journal of Data Science and Analytics 15 (3), 267-280, 2023
Sparsity constraint nonnegative tensor factorization for mobility pattern mining
T Balasubramaniam, R Nayak, C Yuen
PRICAI 2019: Trends in Artificial Intelligence: 16th Pacific Rim …, 2019
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