36 citations
- Foundation for Ichthyosis and Related Skin TypesUS2 papers
- Clarendon CollegeUS1 paper
- École Polytechnique Fédérale de LausanneCH1 paper
- For Inspiration and Recognition of Science and TechnologyUS1 paper
- Fusion AcademyUS1 paper
- Fusion (United States)US1 paper
- Heinz Maier-Leibnitz ZentrumDE1 paper
- Imperial College LondonGB1 paper
- Laboratoire de Probabilités et Modèles AléatoiresFR1 paper
- Massachusetts Institute of TechnologyUS1 paper
- Plasma Technology (United States)US1 paper
- Princeton UniversityUS1 paper
10 papers
Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning
Yudan Song, Yuecen Wei, Yuhang Lu +6
Graph representation learning has become a mainstream method for fraud detection due to its strong expressive power, which focuses on enhancing node representations through improve…
High-Energy Reaction Dynamics of N
JingChun Wang, Juan Carlos San Vicente Veliz, Markus Meuwly
The atom-exchange and atomization dissociation dynamics for the N(S) + N reaction is studied using a reproducing kernel Hilbert space (RKHS)-based, global p…
Overview of RIS-Enabled Secure Transmission in 6G Wireless Networks
JungSook Bae, Waqas Khalid, Anseok Lee +3
As sixth-generation (6G) wireless communication networks evolve, privacy concerns are expected due to the transmission of vast amounts of security-sensitive private information. In…
On The Structure of Plasma Jets in the Rotating Plasma Experiment
V. Valenzuela-Villaseca, L. G. Suttle, F. Suzuki-Vidal +9
Recent pulsed-power experiments have demonstrated the formation of astrophysically-relevant, differentially rotating plasmas [1]. Key features of the plasma flows are the discovery…
Encoding feature supervised UNet++: Redesigning Supervision for liver and tumor segmentation
Jiahao Cui, Ruoxin Xiao, Shiyuan Fang +2
Liver tumor segmentation in CT images is a critical step in the diagnosis, surgical planning and postoperative evaluation of liver disease. An automatic liver and tumor segmentatio…
EDDA: Explanation-driven Data Augmentation to Improve Explanation Faithfulness
Ruiwen Li, Zhibo Zhang, Jiani Li +5
Recent years have seen the introduction of a range of methods for post-hoc explainability of image classifier predictions. However, these post-hoc explanations may not always be fa…