| High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning SM Erfani, S Rajasegarar, S Karunasekera, C Leckie Pattern Recognition 58, 121-134, 2016 | 481 | 2016 |
| Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality X Ma, B Li, Y Wang, SM Erfani, S Wijewickrema, ME Houle, ... International Conference on Learning Representations (ICLR), 2018 | 233 | 2018 |
| Dimensionality-Driven Learning with Noisy Labels X Ma, Y Wang, ME Houle, S Zhou, SM Erfani, ST Xia, S Wijewickrema, ... The 36th International Conference on Machine Learning (ICML), 2018 | 119 | 2018 |
| Improving Load Forecasting Based on Deep Learning and K-shape Clustering F Fahiman, SM Erfani, S Rajasegarar, M Palaniswami, C Leckie International Joint Conference on Neural Networks (IJCNN), 2017 | 33 | 2017 |
| The Vulnerability of Learning to Adversarial Perturbation Increases with Intrinsic Dimensionality L Amsaleg, J Bailey, D Barbe, S Erfani, M Houle, V Nguyen, ... IEEE International Workshop on Information Forensics and Security (WIFS), 2017 | 31 | 2017 |
| Ensemble Fuzzy Clustering using Cumulative Aggregation on Random Projections P Rathore, JC Bezdek, SM Erfani, S Rajasegarar, M Palaniswami IEEE Transactions on Fuzzy Systems (TFS), 2017 | 29 | 2017 |
| R1SVM: a randomised nonlinear approach to large-scale anomaly detection S Erfani, M Baktashmotlagh, S Rajasegarar, S Karunasekera, C Leckie Association for the Advancement of Artificial Intelligence (AAAI), 2015 | 27 | 2015 |
| Efficient Unsupervised Parameter Estimation for One-Class Support Vector Machines Z Ghafoori, S Erfani, S Rajasegarar, J Bezdek, S Karunasekera, C Leckie IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2018 | 26 | 2018 |
| Unsupervised Parameter Estimation for One-Class Support Vector Machines Z Ghafoori, S Rajasegarar, SM Erfani, S Karunasekera, C Leckie Pacific Asia Knowledge Discovery and Data Mining (PAKDD), 2016 | 22 | 2016 |
| Robust Domain Generalisation by Enforcing Distribution Invariance SM Erfani, M Baktashmotlaghy, M Moshtaghi, V Nguyen, C Leckie, ... International Joint Conference on Artificial Intelligence (IJCAI), 2016 | 16 | 2016 |
| Improved Classification of Known and Unknown Network Traffic Flows using Semi-Supervised Machine Learning T Glennan, C Leckie, SM Erfani Australasian Conference on Information Security and Privacy (ACISP), 2016 | 16 | 2016 |
| Reinforcement learning for autonomous defence in software-defined networking Y Han, BIP Rubinstein, T Abraham, T Alpcan, O De Vel, S Erfani, ... International Conference on Decision and Game Theory for Security, 145-165, 2018 | 13 | 2018 |
| Online cluster validity indices for performance monitoring of streaming data clustering M Moshtaghi, JC Bezdek, SM Erfani, C Leckie, J Bailey International Journal of Intelligent Systems 34 (4), 541-563, 2019 | 12 | 2019 |
| Online cluster validity indices for streaming data M Moshtaghi, JC Bezdek, SM Erfani, C Leckie, J Bailey International Journal of Intelligent Systems (IJIS), 2018 | 12 | 2018 |
| Training robust models using Random Projection NX Vinh, S Erfani, S Paisitkriangkrai, J Bailey, C Leckie, ... International Conference on Pattern Recognition (ICPR), 531-536, 2016 | 12 | 2016 |
| Training Robust Models Using Random Projection VX Nguyen, S Erfani, S Paisitkriangkrai, J Bailey, C Leckie, ... International Conference on Pattern Recognition (ICPR), 2016 | 12* | 2016 |
| R1STM: One-class Support Tensor Machine with Randomised Kernel SM Erfani, M Baktashmotlagh, S Rajasegarar, V Nguyen, C Leckie, ... SIAM International Conference on Data Mining (SDM), 2016 | 12 | 2016 |
| Privacy-preserving data aggregation in participatory sensing networks SM Erfani, S Karunasekera, C Leckie, U Parampalli International Conference on Intelligent Sensors, Sensor Networks and …, 2013 | 12 | 2013 |
| An Improved Scheme for Privacy-Preserving Collaborative Anomaly Detection L Lyu, YW Law, SM Erfani, C Leckie, M Palaniswami IEEE PERCOM workshop on Security Privacy and Trust in IoT (SPT-IoT), 2016 | 9 | 2016 |
| Fuzzy c-Shape: A New Algorithm for Clustering Finite Time Series Waveforms F Fahiman, JC Bezdek, SM Erfani, M Palaniswami, C Leckie IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2017 | 7 | 2017 |
Christopher LeckieProfessor, Computing and Information Systems, The University of MelbourneVerified email at unimelb.edu.au
