Son N. Tran
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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
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, AS d’Avila Garcez
Neural Computing and Applications 29 (6), 13-19, 2018
Temporal latent topic user profiles for search personalisation
T Vu, A Willis, SN Tran, D Song
European Conference on Information Retrieval, 605-616, 2015
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
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
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 Research …, 2014
Knowledge extraction from deep belief networks for images
SN Tran, AA Garcez
IJCAI-2013 workshop on neural-symbolic learning and reasoning, 2013
Fake reviews detection: A survey
R Mohawesh, S Xu, SN Tran, R Ollington, M Springer, Y Jararweh, ...
IEEE Access 9, 65771-65802, 2021
Deep learning for retail product recognition: Challenges and techniques
Y Wei, S Tran, S Xu, B Kang, M Springer
Computational intelligence and neuroscience 2020, 2020
Analysis of concept drift in fake reviews detection
R Mohawesh, S Tran, R Ollington, S Xu
Expert Systems with Applications 169, 114318, 2021
dpUGC: learn differentially private representation for user generated contents
XS Vu, SN Tran, L Jiang
arXiv preprint arXiv:1903.10453, 2019
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
Generalising the discriminative restricted boltzmann machines
S Cherla, SN Tran, A d’Avila Garcez, T Weyde
International Conference on Artificial Neural Networks, 111-119, 2017
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
Multi-Resident Activity Monitoring in Smart Homes: A Case Study
SN Tran, Q Zhang, V Smallbon, M Karunanithi
Percom WS on SmarterAAL, 2018
Deep auto-encoders with sequential learning for multimodal dimensional emotion recognition
D Nguyen, DT Nguyen, R Zeng, TT Nguyen, SN Tran, T Nguyen, ...
IEEE Transactions on Multimedia 24, 1313-1324, 2021
Some algorithms to solve a bi-objectives problem for team selection
TS Ngo, NA Bui, TT Tran, PC Le, DC Bui, TD Nguyen, LD Phan, QT Kieu, ...
Applied Sciences 10 (8), 2700, 2020
Logic extraction from deep belief networks
S Tran, A Garcez
ICML 2012 Representation Learning Workshop, Edinburgh, 2012
Mixed-dependency models for multi-resident activity recognition in smart homes
SN Tran, TS Ngo, Q Zhang, M Karunanithi
Multimedia Tools and Applications 79 (31), 23445-23460, 2020
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