Loc Hoang Tran
Loc Hoang Tran
John von Neumann Institute, VNU-HCM
Verified email at umn.edu
Title
Cited by
Cited by
Year
Application of three graph Laplacian based semi-supervised learning methods to protein function prediction problem
L Tran
arXiv preprint arXiv:1211.4289, 2012
212012
The role of an IoT platform in the design of real-time recommender systems
S Cha, MP Ruiz, M Wachowicz, LH Tran, H Cao, I Maduako
2016 IEEE 3rd world forum on internet of things (WF-iot), 448-453, 2016
172016
Hypergraph and protein function prediction with gene expression data
L Tran
arXiv preprint arXiv:1212.0388, 2012
172012
Proposed combination of PCA and MFCC feature extraction in speech recognition system
H Trang, TH Loc, HBH Nam
2014 International Conference on Advanced Technologies for Communications …, 2014
162014
The un-normalized graph p-Laplacian based semi-supervised learning method and protein function prediction problem
L Tran
Knowledge and Systems Engineering, 23-35, 2014
82014
Un-normalized graph p-Laplacian semi-supervised learning method applied to cancer classification problem
LH Tran, LH Tran
Journal of Automation and Control Engineering Vol 3 (1), 2015
62015
The Un-normalized Graph p-Laplacian based Semi-supervised Learning Method and Speech Recognition Problem
L Tran, L Tran
International Journal of Advances in Soft Computing & Its Applications 9 (1), 2017
42017
Combinatorial and Random Walk Hypergraph Laplacian Eigenmaps
LH Tran, LH Tran, H Trang
International Journal of Machine Learning and Computing 5 (6), 462, 2015
42015
Solve fraud detection problem by using graph based learning methods
L Tran, T Tran, L Tran, A Mai
arXiv preprint arXiv:1908.11708, 2019
32019
Hypergraph based semi-supervised learning algorithms applied to speech recognition problem: a novel approach
LH Tran, T Hoang, BHN Huynh
arXiv preprint arXiv:1810.12743, 2018
32018
Graph Based Semi-supervised Learning Methods Applied to Speech Recognition Problem
H Trang, LH Tran
International Conference on Nature of Computation and Communication, 264-273, 2014
32014
Tensor sparse PCA and face recognition: a novel approach
L Tran, L Tran, T Hoang, B Bui
SN Applied Sciences 2 (7), 1-7, 2020
22020
PageRank algorithm for Directed Hypergraph
L Tran, T Quan, A Mai
arXiv preprint arXiv:1909.01132, 2019
22019
Applications of (SPARSE)-PCA and LAPLACIAN EIGENMAPS to Biological Network Inference Problem using Gene Expression Data.
LH Tran, LH Tran
International Journal of Advances in Soft Computing & Its Applications 9 (2), 2017
22017
Kernel ridge regression method applied to speech recognition problem: A novel approach
H Trang, L Tran
2014 International Conference on Advanced Technologies for Communications …, 2014
22014
WEIGHTED UN-NORMALIZED HYPERGRAPH LAPLACIAN EIGENMAPS FOR CLASSIFICATION PROBLEMS.
L Tran, A Mai, T Quan, L Tran
International Journal of Advances in Soft Computing & Its Applications 10 (3), 2018
12018
The combination of Sparse Principle Component Analysis and Kernel Ridge Regression methods applied to speech recognition problem.
LH Tran, LH Tran
International Journal of Advances in Soft Computing & Its Applications 10 (2), 2018
12018
Directed hypergraph neural network
LH Tran, LH Tran
arXiv preprint arXiv:2008.03626, 2020
2020
Directed hypergraph neural network
L Hoang Tran, L Hoang Tran
arXiv e-prints, arXiv: 2008.03626, 2020
2020
K-Segments Under Bagging approach: An experimental Study on Extremely Imbalanced Data Classification
T Tran, L Tran, A Mai
2019 19th International Symposium on Communications and Information …, 2019
2019
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