Thanh-Binh Le

12 papers C 2Journal 5Unranked 5
YearRankTypeTitle / Venue / Authors
2020 — conf
Building Filters for Vietnamese Chatbot Responses.
RIVF
Ngoc-Thanh Le, Thanh-Binh Le, Si-Duy Truong, Hoai Bac Le
2018 J jnl
Story Disambiguation: Tracking Evolving News Stories across News and Social Streams.
CoRR
Bichen Shi, Thanh-Binh Le, Neil Hurley, Georgiana Ifrim
2017 J jnl
Multi-view based unlabeled data selection using feature transformation methods for semiboost learning.
Neurocomputing
Thanh-Binh Le, Sugwon Hong, Sang-Woon Kim
2016 — conf
Choosing unlabeled examples for SemiBoost using modified cuckoo search algorithms.
ICNC-FSKD
Trung Hai Nguyen, Thanh-Binh Le, Sang-Woon Kim
2016 J jnl
On measuring confidence levels using multiple views of feature set for useful unlabeled data selection.
Neurocomputing
Thanh-Binh Le, Sang-Woon Kim
2015 C conf
Comparison of Adjusted Methods for Selecting Useful Unlabeled Data for Semi-Supervised Learning Algorithms.
IEA/AIE
Thanh-Binh Le, Sang-Woon Kim
2015 J jnl
Modified criterion to select useful unlabeled data for improving semi-supervised support vector machines.
Pattern Recognit. Lett.
Thanh-Binh Le, Sang-Woon Kim
2015 — conf
On Selecting Useful Unlabeled Data Using Multi-view Learning Techniques.
ICPRAM (1)
Thanh-Binh Le, Sang-Woon Kim
2014 C conf
On Selecting Helpful Unlabeled Data for Improving Semi-Supervised Support Vector Machines.
ICPRAM
Thanh-Binh Le, Sang-Woon Kim
2014 J jnl
On incrementally using a small portion of strong unlabeled data for semi-supervised learning algorithms.
Pattern Recognit. Lett.
Thanh-Binh Le, Sang-Woon Kim
2014 — conf
Simply recycled selection and incrementally reinforced selection methods applicable for semi-supervised learning algorithms.
ICEIC
Thanh-Binh Le, Sang-Woon Kim
2012 — conf
On Improving Semi-supervised Marginboost Incrementally using Strong Unlabeled Data.
ICPRAM (1)
Thanh-Binh Le, Sang-Woon Kim