| Dimensionality-driven learning with noisy labels X Ma, Y Wang, ME Houle, S Zhou, SM Erfani, ST Xia, S Wijewickrema, ... arXiv preprint arXiv:1806.02612, 2018 | 132 | 2018 |
| Can high-order dependencies improve mutual information based feature selection? NX Vinh, S Zhou, J Chan, J Bailey Pattern Recognition 53, 46-58, 2016 | 65 | 2016 |
| Accelerating online cp decompositions for higher order tensors S Zhou, NX Vinh, J Bailey, Y Jia, I Davidson Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 60 | 2016 |
| Beyond YouTube: Sharing personal digital stories on a community display H Davis, J Waycott, S Zhou Proceedings of the Annual Meeting of the Australian Special Interest Group …, 2015 | 19 | 2015 |
| Adversarial generation of real-time feedback with neural networks for simulation-based training X Ma, S Wijewickrema, S Zhou, Y Zhou, Z Mhammedi, S O'Leary, J Bailey arXiv preprint arXiv:1703.01460, 2017 | 7 | 2017 |
| Providing effective real-time feedback in simulation-based surgical training X Ma, S Wijewickrema, Y Zhou, S Zhou, S O’Leary, J Bailey International Conference on Medical Image Computing and Computer-Assisted …, 2017 | 6 | 2017 |
| Sced: A general framework for sparse tensor decomposition with constraints and elementwise dynamic learning S Zhou, SM Erfani, J Bailey 2017 IEEE International Conference on Data Mining (ICDM), 675-684, 2017 | 4 | 2017 |
| Online CP decomposition for sparse tensors S Zhou, S Erfani, J Bailey 2018 IEEE International Conference on Data Mining (ICDM), 1458-1463, 2018 | 2 | 2018 |
| On dynamic tensor decompositions S Zhou | 1 | 2019 |
| Early identification of an impending rockslide location via a spatially-aided Gaussian mixture model S Zhou, H Bondell, A Tordesillas, BIP Rubinstein, J Bailey Annals of Applied Statistics 14 (2), 977-992, 2020 | | 2020 |
James BaileyProfessor, School of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
