Son N. Tran
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Deep logic networks: Inserting and extracting knowledge from deep belief networks
SN Tran, ASA Garcez
IEEE transactions on neural networks and learning systems 29 (2), 246-258, 2016
Speaker recognition with hybrid features from a deep belief network
H Ali, SN Tran, E Benetos, ASA Garcez
Neural Computing and Applications 29 (6), 13-19, 2018
Neural-symbolic computing: An effective methodology for principled integration of machine learning and reasoning
AA Garcez, M Gori, LC Lamb, L Serafini, M Spranger, SN Tran
arXiv preprint arXiv:1905.06088, 2019
Temporal latent topic user profiles for search personalisation
T Vu, A Willis, SN Tran, D Song
European Conference on Information Retrieval, 605-616, 2015
Improving search personalisation with dynamic group formation
TT Vu, D Song, A Willis, SN Tran, J Li
Proceedings of the 37th international ACM SIGIR conference on Researchá…, 2014
Knowledge extraction from deep belief networks for images
SN Tran, AA Garcez
IJCAI-2013 workshop on neural-symbolic learning and reasoning, 2013
Unimodal late fusion for NIST i-vector challenge on speaker detection
H Ali, ASA Garcez, SN Tran, X Zhou, K Iqbal
Electronics Letters 50 (15), 1098-1100, 2014
dpugc: Learn differentially private representation for user generated contents
XS Vu, SN Tran, L Jiang
arXiv preprint arXiv:1903.10453, 2019
Etnlp: A visual-aided systematic approach to select pre-trained embeddings for a downstream task
XS Vu, T Vu, SN Tran, L Jiang
arXiv preprint arXiv:1903.04433, 2019
Generalising the discriminative restricted boltzmann machines
S Cherla, SN Tran, AA Garcez, T Weyde
International Conference on Artificial Neural Networks, 111-119, 2017
Logic extraction from deep belief networks
S Tran, A Garcez
ICML 2012 Representation Learning Workshop, Edinburgh, 2012
New vertical silicon microwave power transistor structure and package with inherent thermal self protection
B Gogoi, R Davies, J Crowder, D Lutz, P Le, D Rice, W Wright, B Battaglia, ...
2009 IEEE MTT-S International Microwave Symposium Digest, 569-572, 2009
Discriminative learning and inference in the Recurrent Temporal RBM for melody modelling
S Cherla, SN Tran, AA Garcez, T Weyde
2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015
On multi-resident activity recognition in ambient smart-homes
SN Tran, D Nguyen, TS Ngo, XS Vu, L Hoang, Q Zhang, M Karunanithi
Artificial Intelligence Review 53 (6), 3929-3945, 2020
Human identification via unsupervised feature learning from UWB radar data
J Yin, SN Tran, Q Zhang
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 322-334, 2018
Hybrid Long-and Short-Term Models of Folk Melodies.
S Cherla, SN Tran, T Weyde, ASA Garcez
ISMIR, 584-590, 2015
Learning motion-difference features using Gaussian restricted Boltzmann machines for efficient human action recognition
SN Tran, E Benetos, AA Garcez
2014 International Joint Conference on Neural Networks (IJCNN), 2123-2129, 2014
Mixed-dependency models for multi-resident activity recognition in smart homes
SN Tran, TS Ngo, Q Zhang, K Karunanithi
Multimedia Tools and Applications 79, 23445-23460, 2020
Multi-Resident Activity Monitoring in Smart Homes: A Case Study
SN Tran, Q Zhang, V Smallbon, M Karunanithi
Percom WS on SmarterAAL, 2018
Feature preprocessing with restricted Boltzmann machines for music similarity learning
S Tran, D Wolff, T Weyde, AA Garcez
Audio Engineering Society Conference: 53rd International Conferenceá…, 2014
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