| 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 | 315 | 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 | 150 | 2016 |
| Fake reviews detection: A survey R Mohawesh, S Xu, SN Tran, R Ollington, M Springer, Y Jararweh, ... Ieee Access 9, 65771-65802, 2021 | 135 | 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 (1), 8875910, 2020 | 102 | 2020 |
| 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 | 95 | 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 | 60 | 2015 |
| Analysis of concept drift in fake reviews detection R Mohawesh, S Tran, R Ollington, S Xu Expert Systems with Applications 169, 114318, 2021 | 52 | 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 | 50 | 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 197, 116788, 2022 | 49 | 2022 |
| 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 | 40 | 2021 |
| 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 | 36 | 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 | 35 | 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 | 34 | 2014 |
| Knowledge extraction from deep belief networks for images SN Tran, AA Garcez IJCAI-2013 workshop on neural-symbolic learning and reasoning, 2013 | 33 | 2013 |
| Hand tremor detection in videos with cluttered background using neural network based approaches X Wang, S Garg, SN Tran, Q Bai, J Alty Health Information Science and Systems 9, 1-14, 2021 | 29 | 2021 |
| dpUGC: Learn Differentially Private Representation for User Generated Contents (Best Paper Award, Third Place, Shared) XS Vu, SN Tran, L Jiang International Conference on Computational Linguistics and Intelligent Text …, 2019 | 18 | 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 | 16 | 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 | 15 | 2020 |
| 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 | 14 | 2020 |
| Multi-Resident Activity Monitoring in Smart Homes: A Case Study SN Tran, Q Zhang, V Smallbon, M Karunanithi Percom WS on SmarterAAL, 2018 | 14 | 2018 |
Artur d'Avila GarcezProfessor of Computer Science. City, University of London在 city.ac.uk 的电子邮件经过验证
