Thi-Ngan Pham
Orcid: 0000-0003-4550-4985
According to our database1,
Thi-Ngan Pham
authored at least 13 papers
between 2012 and 2022.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2022
Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2022
2021
Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2021
2020
Int. J. Inf. Syst. Supply Chain Manag., 2020
A Targeted Topic Model based Multi-Label Deep Learning Classification Framework for Aspect-based Opinion Mining.
Proceedings of the 12th International Conference on Knowledge and Systems Engineering, 2020
A Lifelong Sentiment Classification Framework Based on a Close Domain Lifelong Topic Modeling Method.
Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020
2019
A Probability-Based Close Domain Metric in Lifelong Learning for Multi-label Classification.
Proceedings of the Advanced Computational Methods for Knowledge Engineering, 2019
2018
A New Text Semi-supervised Multi-label Learning Model Based on Using the Label-Feature Relations.
Proceedings of the Computational Collective Intelligence - 10th International Conference, 2018
A New Lifelong Topic Modeling Method and Its Application to Vietnamese Text Multi-label Classification.
Proceedings of the Intelligent Information and Database Systems - 10th Asian Conference, 2018
2017
A semi-supervised multi-label classification framework with feature reduction and enrichment.
J. Inf. Telecommun., 2017
Exploiting Distance Graph and Hidden Topic Models for Multi-label Text Classification.
Proceedings of the Advanced Topics in Intelligent Information and Database Systems,, 2017
Proceedings of the Advanced Topics in Intelligent Information and Database Systems,, 2017
2013
Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2013
2012
Named Entity Recognition for Vietnamese Documents Using Semi-supervised Learning Method of CRFs with Generalized Expectation Criteria.
Proceedings of the 2012 International Conference on Asian Language Processing, 2012