| 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 | 230 | 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 | 126 | 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 | 90 | 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 | 56 | 2015 |
| Fake reviews detection: A survey R Mohawesh, S Xu, SN Tran, R Ollington, M Springer, Y Jararweh, ... IEEE Access 9, 65771-65802, 2021 | 53 | 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 | 43 | 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 | 32 | 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 | 31 | 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 | 29 | 2014 |
| Knowledge extraction from deep belief networks for images SN Tran, AA Garcez IJCAI-2013 workshop on neural-symbolic learning and reasoning, 2013 | 27 | 2013 |
| Analysis of concept drift in fake reviews detection R Mohawesh, S Tran, R Ollington, S Xu Expert Systems with Applications 169, 114318, 2021 | 26 | 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 | 25 | 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 | 20 | 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 | 17 | 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 | 16 | 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 | 16 | 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 | 13 | 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 | 13 | 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 | 12 | 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 | 12 | 2015 |
Artur d'Avila GarcezProfessor of Computer Science. City, University of LondonVerified email at city.ac.uk
