Balasubramaniam Thirunavukarasu
Orcid: 0000-0002-8821-6003
According to our database1,
Balasubramaniam Thirunavukarasu
authored at least 25 papers
between 2015 and 2023.
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Bibliography
2023
Explainability of the COVID-19 epidemiological model with nonnegative tensor factorization.
Int. J. Data Sci. Anal., April, 2023
2022
Deep learning based topic and sentiment analysis: COVID19 information seeking on social media.
Soc. Netw. Anal. Min., 2022
Multi-layer manifold learning for deep non-negative matrix factorization-based multi-view clustering.
Pattern Recognit., 2022
Latent Pattern Identification Using Orthogonal-Constraint Coupled Nonnegative Matrix Factorization.
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022
2021
Column-Wise Element Selection for Computationally Efficient Nonnegative Coupled Matrix Tensor Factorization.
IEEE Trans. Knowl. Data Eng., 2021
Progressive domain adaptation for detecting hate speech on social media with small training set and its application to COVID-19 concerned posts.
Soc. Netw. Anal. Min., 2021
Identifying Covid-19 misinformation tweets and learning their spatio-temporal topic dynamics using Nonnegative Coupled Matrix Tensor Factorization.
Soc. Netw. Anal. Min., 2021
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021
Investigation of Topic Modelling Methods for Understanding the Reports of the Mining Projects in Queensland.
Proceedings of the Data Mining, 2021
A Semi-automatic Data Extraction System for Heterogeneous Data Sources: a Case Study from Cotton Industry.
Proceedings of the Data Mining, 2021
Nonnegative Matrix Factorization to Understand Spatio-Temporal Traffic Pattern Variations During COVID-19: A Case Study.
Proceedings of the Data Mining, 2021
2020
ACM Trans. Knowl. Discov. Data, 2020
CoRR, 2020
Columnwise Element Selection for Computationally Efficient Nonnegative Coupled Matrix Tensor Factorization.
CoRR, 2020
Understanding the Spatio-temporal Topic Dynamics of Covid-19 using Nonnegative Tensor Factorization: A Case Study.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
2019
IEEE Trans. Comput. Soc. Syst., 2019
Fine-grained Type Inference in Knowledge Graphs via Probabilistic and Tensor Factorization Methods.
Proceedings of the World Wide Web Conference, 2019
Proceedings of the Web Information Systems Engineering - WISE 2019, 2019
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019
2018
A Novel Technique of Using Coupled Matrix and Greedy Coordinate Descent for Multi-view Data Representation.
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018
Nonnegative Coupled Matrix Tensor Factorization for Smart City Spatiotemporal Pattern Mining.
Proceedings of the Machine Learning, Optimization, and Data Science, 2018
Understanding Urban Spatio-Temporal Usage Patterns Using Matrix Tensor Factorization.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018
2017
Proceedings of the SMARTGREENS 2017, 2017
Extracting point of interest and classifying environment for low sampling crowd sensing smartphone sensor data.
Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, 2017
2015
Proceedings of the 2015 IEEE Innovative Smart Grid Technologies, 2015