Son N. Tran
Cited by
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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, 13-19, 2018
Temporal latent topic user profiles for search personalisation
T Vu, A Willis, SN Tran, D Song
Advances in Information Retrieval: 37th European Conference on IR Research …, 2015
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
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
Analysis of concept drift in fake reviews detection
R Mohawesh, S Tran, R Ollington, S Xu
Expert Systems with Applications 169, 114318, 2021
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
A survey: From shallow to deep machine learning approaches for blood pressure estimation using biosensors
S Maqsood, S Xu, S Tran, S Garg, M Springer, M Karunanithi, ...
Expert Systems with Applications, 116788, 2022
dpUGC: Learn Differentially Private Representation for User Generated Contents (Best Paper Award, Third Place, Shared)
XS Vu, SN Tran, L Jiang
Computational Linguistics and Intelligent Text Processing: 20th …, 2023
Coconut trees detection and segmentation in aerial imagery using mask region‐based convolution neural network
MS Iqbal, H Ali, SN Tran, T Iqbal
IET Computer Vision 15 (6), 428-439, 2021
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
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
Generalising the discriminative restricted boltzmann machines
S Cherla, SN Tran, A d’Avila Garcez, T Weyde
Artificial Neural Networks and Machine Learning–ICANN 2017: 26th …, 2017
Mixed-dependency models for multi-resident activity recognition in smart homes
SN Tran, TS Ngo, Q Zhang, M Karunanithi
Multimedia Tools and Applications 79, 23445-23460, 2020
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
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