Richi Nayak, PhD

Affiliations: 
Data science Queensland University of Technology (Australia) 
Area:
Data science, Machine Learning, Deep learning, Web personalization, Artificial Intelligence
Website:
https://staff.qut.edu.au/staff/r.nayak
Google:
"Richi Nayak"
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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
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
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