| 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 | 71 | 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 | 55 | 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 | 47 | 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 | 33 | 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 Research …, 2014 | 23 | 2014 |
| Knowledge extraction from deep belief networks for images SN Tran, AA Garcez IJCAI-2013 workshop on neural-symbolic learning and reasoning, 2013 | 21 | 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 | 14 | 2014 |
| 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 | 13 | 2019 |
| dpugc: Learn differentially private representation for user generated contents XS Vu, SN Tran, L Jiang arXiv preprint arXiv:1903.10453, 2019 | 12 | 2019 |
| Generalising the discriminative restricted boltzmann machines S Cherla, SN Tran, AA Garcez, T Weyde International Conference on Artificial Neural Networks, 111-119, 2017 | 12 | 2017 |
| 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 | 11 | 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 | 10 | 2015 |
| Logic extraction from deep belief networks S Tran, A Garcez ICML 2012 Representation Learning Workshop, Edinburgh, 2012 | 10 | 2012 |
| 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 | 6 | 2018 |
| Multi-Resident Activity Monitoring in Smart Homes: A Case Study SN Tran, Q Zhang, V Smallbon, M Karunanithi Percom WS on SmarterAAL, 2018 | 6 | 2018 |
| Hybrid Long-and Short-Term Models of Folk Melodies. S Cherla, SN Tran, T Weyde, ASA Garcez ISMIR, 584-590, 2015 | 6 | 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 | 6 | 2014 |
| Feature preprocessing with restricted Boltzmann machines for music similarity learning S Tran, D Wolff, T Weyde, AA Garcez Audio Engineering Society Conference: 53rd International Conference …, 2014 | 6 | 2014 |
| Feature preprocessing with restricted Boltzmann machines for music similarity learning S Tran, D Wolff, T Weyde, AA Garcez Audio Engineering Society Conference: 53rd International Conference …, 2014 | 6 | 2014 |
| 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 | 4 | 2020 |
Artur d'Avila GarcezCity, University of LondonVerified email at city.ac.uk
