Richi Nayak, PhD

Data science Queensland University of Technology (Australia) 
Data science, Machine Learning, Deep learning, Web personalization, Artificial Intelligence
"Richi Nayak"
Mean distance: (not calculated yet)
BETA: Related publications


You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

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
Luong K, Nayak R. (2020) Learning Inter- and Intra-manifolds for Matrix Factorization-based Multi-Aspect Data Clustering Ieee Transactions On Knowledge and Data Engineering. 1-1
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
Bashar A, Nayak R, Suzor N. (2020) Regularising LSTM classifier by transfer learning for detecting misogynistic tweets with small training set Knowledge and Information Systems. 1-26
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
See more...