Trong Dinh Thac Do
TitleCited byYear
Pglcm: Efficient parallel mining of closed frequent gradual itemsets
TDT Do, A Laurent, A Termier
2010 IEEE International Conference on Data Mining, 138-147, 2010
PGLCM: efficient parallel mining of closed frequent gradual itemsets
TDT Do, A Termier, A Laurent, B Negrevergne, B Omidvar-Tehrani, ...
Knowledge and Information Systems 43 (3), 497-527, 2015
Coupled poisson factorization integrated with user/item metadata for modeling popular and sparse ratings in scalable recommendation
TDT Do, L Cao
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
PlantFuncSSR: integrating first and next generation transcriptomics for mining of SSR-functional domains markers
G Sablok, AJ Pérez-Pulido, T Do, TY Seong, CS Casimiro-Soriguer, ...
Frontiers in plant science 7, 878, 2016
Gamma-poisson dynamic matrix factorization embedded with metadata influence
TDT Do, L Cao
Advances in Neural Information Processing Systems, 5824-5835, 2018
Metadata-dependent Infinite Poisson Factorization for Efficiently Modelling Sparse and Large Matrices in Recommendation.
TDT Do, L Cao
IJCAI, 5010-5016, 2018
Non-IID latent variable models
IJCAI2019 tutorial: Non-IID Learning of Complex Data and Behaviors
L Cao, TDT Do, C Zhu
IJCAI 2019
L Cao, TDT Do, C Zhu
Supplementary for Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence
TDT Do, L Cao
Nonparametric Bayesian Coupling Metadata Models with Applications
Non-IID Learning
L Cao, G Pang, L Hu, C Zhu, TDT Do, S Jian
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Articles 1–12