Proceedings of the ACM SIGKDD 2013 Workshop on Outlier Detection and Description : August 11th, 2013, Chicago, IL, USA

Veröffentlicht in KDD (19 : 2013 : Chicago, Ill.) KDD 2013 (2013)

Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution

von Ding, Xueying
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 13 of 50 (2023)

STATISTICAL ANALYSIS OF NEAREST NEIGHBOR METHODS FOR ANOMALY DETECTION

von Gu, Xiaoyi
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 14 of 20 (2020)

A Practical, Progressively-Expressive GNN

von Zhao, Lingxiao
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 44 of 50 (2023)

Automatic Unsupervised Outlier Model Selection

von Zhao, Yue
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 6 of 36 (2022)

BEYOND HOMOPHILY IN GRAPH NEURAL NETWORKS: CURRENT LIMITATIONS AND EFFECTIVE DESIGNS

von Zhu, Jiong
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 10 of 27 (2021)

GOTCHA! : network-based fraud detection for social security fraud

von Van Vlasselaer, Véronique
Veröffentlicht in Management science (2017)

Advances in data science : Third International Conference on Intelligent Information Technologies, ICIIT 2018, Chennai, India, December 11-14, 2018 : proceedings

Veröffentlicht 2019

Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection

von ZHANG, GE
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 32 of 50 (2023)