How to make a machine learn continuously: a tutorial of the Bayesian approach K Than, X Bui, T Nguyen-Trong, K Truong, S Nguyen, B Tran, LN Van, ... Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2019 | 2 | 2019 |

Stochastic bounds for inference in topic models X Bui, T Vu, K Than Advances in Information and Communication Technology: Proceedings of the …, 2017 | 2 | 2017 |

MAP Estimation With Bernoulli Randomness, and Its Application to Text Analysis and Recommender Systems X Bui, H Vu, O Nguyen, K Than IEEE Access 8, 127818-127833, 2020 | 1 | 2020 |

GS-OPT: A new fast stochastic algorithm for solving the non-convex optimization problem X Bui, N Duong, T Hoang IAES International Journal of Artificial Intelligence 9 (2), 183, 2020 | 1 | 2020 |

A stochastic algorithm for solving the posterior inference problem in topic models HQ Trung, X Bui TELKOMNIKA (Telecommunication Computing Electronics and Control) 20 (5), 971-978, 2022 | | 2022 |

A Flexible Stochastic Method for Solving the MAP Problem in Topic Models T Vu, X Bui, K Than, R Ichise Computación y Sistemas 22 (4), 1317-1327, 2018 | | 2018 |

Some Methods for Posterior Inference in Topic Models X Bui, T Vu, K Than Journal on Information Technologies & Communications, 2018 | | 2018 |

A Fast Algorithm for Posterior Inference with Latent Dirichlet Allocation B Thi-Thanh-Xuan, V Van-Tu, A Takasu, K Than Intelligent Information and Database Systems: 10th Asian Conference, ACIIDS …, 2018 | | 2018 |