| Investigation and improvement of multi-layer perceptron neural networks for credit scoring Z Zhao, S Xu, BH Kang, MMJ Kabir, Y Liu, R Wasinger Expert Systems with Applications 42 (7), 3508-3516, 2015 | 337 | 2015 |
| A novel approach for determining the optimal number of hidden layer neurons for FNN's and its application in data mining S Xu, L Chen University of Tasmania, 2008 | 287 | 2008 |
| Fake reviews detection: A survey R Mohawesh, S Xu, SN Tran, R Ollington, M Springer, Y Jararweh, ... Ieee Access 9, 65771-65802, 2021 | 254 | 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 | 183 | 2020 |
| Neuron-adaptive higher order neural-network models for automated financial data modeling M Zhang, S Xu, J Fulcher IEEE Transactions on neural networks 13 (1), 188-204, 2002 | 132 | 2002 |
| A comprehensive review on 3D object detection and 6D pose estimation with deep learning S Hoque, MY Arafat, S Xu, A Maiti, Y Wei IEEE Access 9, 143746-143770, 2021 | 102 | 2021 |
| Analysis of concept drift in fake reviews detection R Mohawesh, S Tran, R Ollington, S Xu Expert Systems with Applications 169, 114318, 2021 | 84 | 2021 |
| A benchmark study of machine learning for analysis of signal feature extraction techniques for blood pressure estimation using photoplethysmography (PPG) S Maqsood, S Xu, M Springer, R Mohawesh Ieee Access 9, 138817-138833, 2021 | 81 | 2021 |
| Predicting student performance using clickstream data and machine learning Y Liu, S Fan, S Xu, A Sajjanhar, S Yeom, Y Wei Education Sciences 13 (1), 17, 2022 | 80 | 2022 |
| 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 | 80 | 2022 |
| An empirical research on sentiment analysis using machine learning approaches M Kabir, MMJ Kabir, S Xu, B Badhon International Journal of Computers and Applications 43 (10), 1011-1019, 2021 | 62 | 2021 |
| Application of higher-order neural networks to financial time-series prediction J Fulcher, M Zhang, S Xu Artificial neural networks in finance and manufacturing, 80-108, 2006 | 58 | 2006 |
| Exploiting deep transformer models in textual review based recommender systems S Gheewala, S Xu, S Yeom, S Maqsood Expert Systems with Applications 235, 121120, 2024 | 54 | 2024 |
| A new multiple seeds based genetic algorithm for discovering a set of interesting Boolean association rules MMJ Kabir, S Xu, BH Kang, Z Zhao Expert Systems with Applications 74, 55-69, 2017 | 44 | 2017 |
| Deep learning for 6D pose estimation of objects—A case study for autonomous driving S Hoque, S Xu, A Maiti, Y Wei, MY Arafat Expert Systems with Applications 223, 119838, 2023 | 43 | 2023 |
| New centrality measure for nodes based on user social status and behavior on Facebook S Forouzandeh, A Sheikhahmadi, A Rezaei Aghdam, S Xu International Journal of Web Information Systems 14 (2), 158-176, 2018 | 37 | 2018 |
| Data mining-an adaptive neural network model for financial analysis S Xu, M Zhang Third International Conference on Information Technology and Applications …, 2005 | 37 | 2005 |
| An explainable ensemble of multi-view deep learning model for fake review detection R Mohawesh, S Xu, M Springer, Y Jararweh, M Al-Hawawreh, S Maqsood Journal of King Saud University-Computer and Information Sciences 35 (8), 101644, 2023 | 36 | 2023 |
| Fake or genuine? contextualised text representation for fake review detection R Mohawesh, S Xu, M Springer, M Al-Hawawreh, S Maqsood arXiv preprint arXiv:2112.14343, 2021 | 33 | 2021 |
| Machine learning for mining imbalanced data MY Arafat, S Hoque, S Xu, DM Farid University of Tasmania, 2019 | 32 | 2019 |
Mir Md. Jahangir KabirLecturer, University of Technology Sydney, AustraliaVerified email at uts.edu.au
