| 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 | 1359 | 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 | 863 | 2018 |
| Normalized Loss Functions for Deep Learning with Noisy Labels X Ma, H Huang, Y Wang, S Romano, S Erfani, J Bailey International Conference on Machine Learning (ICML), 2020 | 515 | 2020 |
| 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 | 480 | 2018 |
| Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression J He, SM Erfani, X Ma, J Bailey, Y Chi, H Xian-Sheng Conference on Neural Information Processing Systems (NeurIPS), 2021 | 332 | 2021 |
| Unlearnable Examples: Making Personal Data Unexploitable H Huang, X Ma, S Erfani, J Bailey, Y Wang International Conference on Learning Representations (ICLR), 2021 | 198 | 2021 |
| Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction F Taymouri, M La Rosa, S Erfani, ZD Bozorgi, I Verenich International Conference on Business Process Management (BPM), 2020 | 126 | 2020 |
| Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks H Huang, Y Wang, SM Erfani, Q Gu, J Bailey, X Ma Conference on Neural Information Processing Systems (NeurIPS), 2021 | 115 | 2021 |
| 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 | 105 | 2017 |
| 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 (GameSec …, 2018 | 93 | 2018 |
| 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 | 77 | 2018 |
| Detecting Relevant Feature Interactions for Recommender Systems via Graph Neural Networks Y Su, R Zhang, S Erfani, Z Xu Association for the Advancement of Artificial Intelligence (AAAI), 2020 | 76* | 2020 |
| 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 | 75 | 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 | 75 | 2017 |
| GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systems S Yang, R Zhang, S Erfani Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020 | 69 | 2020 |
| AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows HM Dolatabadi, S Erfani, C Leckie Conference on Neural Information Processing Systems (NeurIPS), 2020 | 67* | 2020 |
| 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 | 61 | 2016 |
| Neural Graph Matching based Collaborative Filtering Y Su, R Zhang, S Erfani, J Gan ACM SIGIR Conference on Research and Development in Information Retrieval …, 2021 | 52 | 2021 |
| Invertible Generative Modeling using Linear Rational Splines HM Dolatabadi, S Erfani, C Leckie International Conference on Artificial Intelligence and Statistics (AISTATS), 2020 | 49 | 2020 |
| Towards quantum enhanced adversarial robustness in machine learning MT West, SL Tsang, JS Low, CD Hill, C Leckie, LCL Hollenberg, ... Nature Machine Intelligence, 2023 | 46 | 2023 |
Christopher LeckieProfessor, Computing and Information Systems, The University of Melbourneunimelb.edu.au의 이메일 확인됨
