Thanh-Binh Le

Orcid: 0000-0002-4838-2592

According to our database1, Thanh-Binh Le authored at least 12 papers between 2012 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Building Filters for Vietnamese Chatbot Responses.
Proceedings of the 2020 RIVF International Conference on Computing and Communication Technologies, 2020

2018
Story Disambiguation: Tracking Evolving News Stories across News and Social Streams.
CoRR, 2018

2017
Multi-view based unlabeled data selection using feature transformation methods for semiboost learning.
Neurocomputing, 2017

2016
On measuring confidence levels using multiple views of feature set for useful unlabeled data selection.
Neurocomputing, 2016

Choosing unlabeled examples for SemiBoost using modified cuckoo search algorithms.
Proceedings of the 12th International Conference on Natural Computation, 2016

2015
Modified criterion to select useful unlabeled data for improving semi-supervised support vector machines.
Pattern Recognit. Lett., 2015

Comparison of Adjusted Methods for Selecting Useful Unlabeled Data for Semi-Supervised Learning Algorithms.
Proceedings of the Current Approaches in Applied Artificial Intelligence, 2015

On Selecting Useful Unlabeled Data Using Multi-view Learning Techniques.
Proceedings of the ICPRAM 2015, 2015

2014
On incrementally using a small portion of strong unlabeled data for semi-supervised learning algorithms.
Pattern Recognit. Lett., 2014

On Selecting Helpful Unlabeled Data for Improving Semi-Supervised Support Vector Machines.
Proceedings of the ICPRAM 2014, 2014

Simply recycled selection and incrementally reinforced selection methods applicable for semi-supervised learning algorithms.
Proceedings of the International Conference on Electronics, Information and Communications, 2014

2012
On Improving Semi-supervised Marginboost Incrementally using Strong Unlabeled Data.
Proceedings of the ICPRAM 2012, 2012


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