4 new papers to appear at high-quality journals

Many students got new papers conditionally accepted at international journals which have high/top quality:

  1. Quyen Tran, Lam Tran, Linh Chu Hai, Linh Ngo, Khoat Than. “From Implicit to Explicit feedback: A deep neural network for modeling sequential behaviors and long-short term preferences of online users”. Conditionally accepted, Neurocomputing, 2021.
  2. Bach, Tran Xuan, Nguyen Duc Anh, Linh Ngo Van, and Khoat Than. “Dynamic transformation of prior knowledge into Bayesian models for data streams.” Conditionally accepted, IEEE Transactions on Knowledge and Data Engineering, 2021.
  3. Ha Nguyen, Hoang Pham, Son Nguyen, Linh Ngo Van, Khoat Than. “Adaptive Infinite Dropout for Noisy and Sparse Data Streams,” Conditionally accepted, Machine Learning journal, 2021.
  4. Linh Ngo, Bach Tran, and Khoat Than. “Graph Convolutional Topic Model for Data Streams.” Conditionally accepted, Neurocomputing, 2021.