| Dimensionality-driven learning with noisy labels X Ma, Y Wang, ME Houle, S Zhou, S Erfani, S Xia, S Wijewickrema, ... International Conference on Machine Learning, 3355-3364, 2018 | 454 | 2018 |
| 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 | 143 | 2016 |
| Can high-order dependencies improve mutual information based feature selection? NX Vinh, S Zhou, J Chan, J Bailey Pattern Recognition 53, 46-58, 2016 | 111 | 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 | 38 | 2015 |
| Online CP decomposition for sparse tensors S Zhou, S Erfani, J Bailey 2018 IEEE International Conference on Data Mining (ICDM), 1458-1463, 2018 | 23 | 2018 |
| 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 | 15 | 2017 |
| Early identification of an impending rockslide location via a spatially-aided gaussian mixture model S Zhou, H Bondell, A Tordesillas, BIP Rubinstein, J Bailey The Annals of Applied Statistics 14 (2), 977-992, 2020 | 13 | 2020 |
| On local intrinsic dimensionality of deformation in complex materials S Zhou, A Tordesillas, M Pouragha, J Bailey, H Bondell Scientific reports 11 (1), 10216, 2021 | 11 | 2021 |
| Providing effective real-time feedback in simulation-based surgical training X Ma, S Wijewickrema, Y Zhou, S Zhou, S O’Leary, J Bailey Medical Image Computing and Computer-Assisted Intervention− MICCAI 2017 …, 2017 | 11 | 2017 |
| Pinpointing early signs of impending slope failures from space S Zhou, A Tordesillas, E Intrieri, F Di Traglia, G Qian, F Catani Journal of Geophysical Research: Solid Earth 127 (2), e2021JB022957, 2022 | 9 | 2022 |
| A representation learning framework for detection and characterization of dead versus strain localization zones from pre-to post-failure A Tordesillas, S Zhou, J Bailey, H Bondell Granular Matter 24 (3), 75, 2022 | 7 | 2022 |
| New insights into the spatiotemporal precursory failure dynamics of the 2017 Xinmo landslide and its surrounds A Tordesillas, S Zhou, F Di Traglia, E Intrieri Understanding and Reducing Landslide Disaster Risk: Volume 3 Monitoring and …, 2021 | 7 | 2021 |
| 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 | 6 | 2017 |
| Structured deformation of granular material in the state of active earth pressure D Leśniewska, A Tordesillas, M Pietrzak, S Zhou, M Nitka Computers and Geotechnics 157, 105316, 2023 | 3 | 2023 |
| On dynamic tensor decompositions. S Zhou University of Melbourne, Parkville, Victoria, Australia, 2019 | 3 | 2019 |
| Dynamics of undeforming regions in the lead up to failure: jumping scales from lab to field A Tordesillas, S Zhou, L Campbell, P Bellett EPJ Web of Conferences 249, 10002, 2021 | 2 | 2021 |
| Pinpointing early signs of impending slope failures from S Zhou, A Tordesillas, E Intrieri, F Di Traglia, G Qian, F Catani | | |
James BaileyProfessor, School of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
