Thanh-Binh Le

Publication Activity (10 Years)

Years Active: 2012-2020
Publications (10 Years): 5

Top Topics

Supervised Learning Algorithms

Confidence Levels

Unlabeled Examples

Top Venues

Pattern Recognit. Lett.

Publications

Ngoc-Thanh Le, Thanh-Binh Le, Si-Duy Truong, Hoai Bac Le
Building Filters for Vietnamese Chatbot Responses. RIVF (2020)
Bichen Shi, Thanh-Binh Le, Neil Hurley, Georgiana Ifrim
Story Disambiguation: Tracking Evolving News Stories across News and Social Streams. CoRR (2018)
Thanh-Binh Le, Sugwon Hong, Sang-Woon Kim
Multi-view based unlabeled data selection using feature transformation methods for semiboost learning. Neurocomputing 249 (2017)
Thanh-Binh Le, Sang-Woon Kim
On measuring confidence levels using multiple views of feature set for useful unlabeled data selection. Neurocomputing 173 (2016)
Trung Hai Nguyen, Thanh-Binh Le, Sang-Woon Kim
Choosing unlabeled examples for SemiBoost using modified cuckoo search algorithms. ICNC-FSKD (2016)
Thanh-Binh Le, Sang-Woon Kim
On Selecting Useful Unlabeled Data Using Multi-view Learning Techniques. ICPRAM (1) (2015)
Thanh-Binh Le, Sang-Woon Kim
Modified criterion to select useful unlabeled data for improving semi-supervised support vector machines. Pattern Recognit. Lett. (2015)
Thanh-Binh Le, Sang-Woon Kim
Comparison of Adjusted Methods for Selecting Useful Unlabeled Data for Semi-Supervised Learning Algorithms. IEA/AIE (2015)
Thanh-Binh Le, Sang-Woon Kim
Simply recycled selection and incrementally reinforced selection methods applicable for semi-supervised learning algorithms. ICEIC (2014)
Thanh-Binh Le, Sang-Woon Kim
On incrementally using a small portion of strong unlabeled data for semi-supervised learning algorithms. Pattern Recognit. Lett. 41 (2014)
Thanh-Binh Le, Sang-Woon Kim
On Selecting Helpful Unlabeled Data for Improving Semi-Supervised Support Vector Machines. ICPRAM (2014)
Thanh-Binh Le, Sang-Woon Kim
On Improving Semi-supervised Marginboost Incrementally using Strong Unlabeled Data. ICPRAM (1) (2012)