DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection

no code implementations • 30 Jun 2022 • Xuanwen Huang, Yang Yang, Yang Wang, Chunping Wang, Zhisheng Zhang, Jiarong Xu, Lei Chen, Michalis Vazirgiannis

Since GAD emphasizes the application and the rarity of anomalous samples, enriching the varieties of its datasets is fundamental work.

Graph Anomaly Detection

Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications

no code implementations • 13 Nov 2020 • Luis G Riera, Matthew E. Carroll, Zhisheng Zhang, Johnathon M. Shook, Sambuddha Ghosal, Tianshuang Gao, Arti Singh, Sourabh Bhattacharya, Baskar Ganapathysubramanian, Asheesh K. Singh, Soumik Sarkar

The objective of this study is to develop a machine learning (ML) approach adept at soybean [\textit{Glycine max} L.

Real-Time Fault Detection and Process Control Based on Multi-channel Sensor Data Fusion

no code implementations • 26 May 2020 • Feng Ye, Zhijie Xia, Min Dai, Zhisheng Zhang

Sensor signals acquired in the industrial process contain rich information which can be analyzed to facilitate effective monitoring of the process, early detection of system anomalies, quick diagnosis of fault root causes, and intelligent system design and control.

Fault Detection