| 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 | 40 | 2018 |
| 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 | 39 | 2022 |
| 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 | 25 | 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 | 25 | 2017 |
| 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 | 21 | 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 | 20 | 2021 |
| 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 | 20 | 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 | 15 | 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 | 14 | 2020 |
| 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 | 14 | 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 | 14 | 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 | 12 | 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 | 11 | 2022 |
| 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 | 10 | 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 | 8* | 2018 |
| Identifying points of interest for elderly in singapore through mobile crowdsensing SH Marakkalage, BPL Lau, VS Kadaba, T Balasubramaniam, C Yuen, ... | 8* | 2017 |
| Topic, sentiment and impact analysis: Covid19 information seeking on social media MA Bashar, R Nayak, T Balasubramaniam arXiv preprint arXiv:2008.12435, 2020 | 7 | 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 | 7 | 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 | 6 | 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 | 5 | 2019 |
Richi NayakProfessor, Queensland University of TechnologyVerified email at qut.edu.au
