Leman Akoglu
Carnegie Mellon University
H-index: 50
North America-United States
Top articles of Leman Akoglu
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
On the Detection of Reviewer-Author Collusion Rings From Paper Bidding | arXiv preprint arXiv:2402.07860 | Steven Jecmen Nihar B Shah Fei Fang Leman Akoglu | 2024/2/12 |
Descriptive Kernel Convolution Network with Improved Random Walk Kernel | 2024 WWW | Meng-Chieh Lee* Lingxiao Zhao* Leman Akoglu | 2024/2/8 |
Improving and Unifying Discrete&Continuous-time Discrete Denoising Diffusion | arXiv preprint arXiv:2402.03701 | Lingxiao Zhao* Xueying Ding* Lijun Yu Leman Akoglu | 2024/2/6 |
Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation | arXiv preprint arXiv:2402.03687 | Lingxiao Zhao Xueying Ding Leman Akoglu | 2024/2/6 |
End-To-End Self-tuning Self-supervised Time Series Anomaly Detection | arXiv preprint arXiv:2404.02865 | Boje Deforce Meng-Chieh Lee Bart Baesens Estefanía Serral Asensio Jaemin Yoo | 2024/4/3 |
Detecting anomalous graphs in labeled multi-graph databases | ACM Transactions on Knowledge Discovery from Data | Hung T Nguyen Pierre J Liang Leman Akoglu | 2023/2/20 |
On using classification datasets to evaluate graph outlier detection: Peculiar observations and new insights | Big Data | Lingxiao Zhao Leman Akoglu | 2023/6/1 |
19th International Workshop on Mining and Learning with Graphs (MLG) | Neil Shah Shobeir Fakhraei Da Zheng Bahare Fatemi Leman Akoglu | 2023/8/6 | |
Self-Supervision for Tackling Unsupervised Anomaly Detection: Pitfalls and Opportunities | Leman Akoglu Jaemin Yoo | 2023/12/15 | |
Unsupervised Machine Learning for Explainable Health Care Fraud Detection | Shubhranshu Shekhar Jetson Leder-Luis Leman Akoglu | 2023/2/13 | |
Deep Anomaly Analytics: Advancing the Frontier of Anomaly Detection | IEEE Intelligent Systems | Feng Xia Leman Akoglu Charu Aggarwal Huan Liu | 2023/4/28 |
Fast Unsupervised Deep Outlier Model Selection with Hypernetworks | arXiv preprint arXiv:2307.10529 | Xueying Ding Yue Zhao Leman Akoglu | 2023/7/20 |
From Detection to Action: a Human-in-the-loop Toolkit for Anomaly Reasoning and Management | Xueying Ding Nikita Seleznev Senthil Kumar C Bayan Bruss Leman Akoglu | 2023/11/27 | |
Heterophily and graph neural networks: Past, present and future | IEEE Data Engineering Bulletin | Jiong Zhu Yujun Yan Mark Heimann Lingxiao Zhao Leman Akoglu | 2023/1 |
From explanation to action: An end-to-end human-in-the-loop framework for anomaly reasoning and management | arXiv preprint arXiv:2304.03368 | Xueying Ding Nikita Seleznev Senthil Kumar C Bayan Bruss Leman Akoglu | 2023/4/6 |
The need for unsupervised outlier model selection: A review and evaluation of internal evaluation strategies | Martin Q Ma Yue Zhao Xiaorong Zhang Leman Akoglu | 2023/6/26 | |
Self-Tuning Self-Supervised Anomaly Detection | Jaemin Yoo Lingxiao Zhao Leman Akoglu | 2023/10/13 | |
Theme Articles | Aleksi Kopponen Antti Hahto Petri Kettunen Tommi Mikkonen Niko Mäkitalo | 2022/9 | |
End-to-End Augmentation Hyperparameter Tuning for Self-Supervised Anomaly Detection | arXiv preprint arXiv:2306.12033 | Jaemin Yoo Lingxiao Zhao Leman Akoglu | 2023/6/21 |
DSV: an alignment validation loss for self-supervised outlier model selection | Jaemin Yoo Yue Zhao Lingxiao Zhao Leman Akoglu | 2023/9/17 |
Co-Authors
