Deep Learning Predicts Biomarker Status and Discovers Related Histomorphology Characteristics for Low-Grade Glioma

no code implementations • 11 Oct 2023 • Zijie Fang, Yihan Liu, Yifeng Wang, Xiangyang Zhang, Yang Chen, Changjing Cai, Yiyang Lin, Ying Han, Zhi Wang, Shan Zeng, Hong Shen, Jun Tan, Yongbing Zhang

Biomarker detection is an indispensable part in the diagnosis and treatment of low-grade glioma (LGG).

Multiple Instance Learning One-Class Classification +1

Voucher Abuse Detection with Prompt-based Fine-tuning on Graph Neural Networks

no code implementations • 19 Aug 2023 • Zhihao Wen, Yuan Fang, Yihan Liu, Yang Guo, Shuji Hao

We design a novel graph prompting function to reformulate the downstream task into a similar template as the pretext task in pre-training, thereby narrowing the objective gap.

Abuse Detection Anomaly Detection

Exploiting Dual-Gate Ambipolar CNFETs for Scalable Machine Learning Classification

no code implementations • 9 Dec 2019 • Farid Kenarangi, Xuan Hu, Yihan Liu, Jean Anne C. Incorvia, Joseph S. Friedman, Inna Partin-Vaisband

Ambipolar carbon nanotube based field-effect transistors (AP-CNFETs) exhibit unique electrical characteristics, such as tri-state operation and bi-directionality, enabling systems with complex and reconfigurable computing.

BIG-bench Machine Learning Classification +1