Low-Cost Representation for Restricted Boltzmann Machines. - Son Ngoc Tran; Artur S. d'Avila Garcez (ICONIP (1), 2014)

Learning motion-difference features using Gaussian restricted Boltzmann machines for efficient human action recognition. - Son Ngoc Tran; Emmanouil Benetos; Artur S. d'Avila Garcez (IJCNN, 2014)

Improving search personalisation with dynamic group formation. - Thanh Tien Vu; Dawei Song 001; Alistair Willis; Son Ngoc Tran; Jingfei Li (SIGIR, 2014)

Temporal Latent Topic User Profiles for Search Personalisation. - Thanh Tien Vu; Alistair Willis; Son Ngoc Tran; Dawei Song 001 (ECIR, 2015)

Discriminative learning and inference in the Recurrent Temporal RBM for melody modelling. - Srikanth Cherla; Son Ngoc Tran; Artur S. d'Avila Garcez; Tillman Weyde (IJCNN, 2015)

Efficient representation ranking for transfer learning. - Son Ngoc Tran; Artur S. d'Avila Garcez (IJCNN, 2015)

Adaptive Transferred-profile Likelihood Learning. - Son Ngoc Tran; Artur S. d'Avila Garcez (IJCNN, 2016)

Generalising the Discriminative Restricted Boltzmann Machines. - Srikanth Cherla; Son Ngoc Tran; Artur S. d'Avila Garcez; Tillman Weyde (ICANN (2), 2017)

Speaker recognition with hybrid features from a deep belief network. - Hazrat Ali; Son Ngoc Tran; Emmanouil Benetos; Artur S. d'Avila Garcez (Neural Comput. Appl., 2018)

Deep Logic Networks: Inserting and Extracting Knowledge From Deep Belief Networks. - Son Ngoc Tran; Artur S. d'Avila Garcez (IEEE Trans. Neural Networks Learn. Syst., 2018)