Intelligent financial fraud detection practices in post-pandemic era

X Zhu, X Ao, Z Qin, Y Chang, Y Liu, Q He, J Li - The Innovation, 2021 - cell.com
The great losses caused by financial fraud have attracted continuous attention from
academia, industry, and regulatory agencies. More concerning, the ongoing coronavirus …

Event prediction in the big data era: A systematic survey

L Zhao - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Events are occurrences in specific locations, time, and semantics that nontrivially impact
either our society or the nature, such as earthquakes, civil unrest, system failures …

A survey on text classification: From traditional to deep learning

Q Li, H Peng, J Li, C Xia, R Yang, L Sun… - ACM Transactions on …, 2022 - dl.acm.org
Text classification is the most fundamental and essential task in natural language
processing. The last decade has seen a surge of research in this area due to the …

[PDF][PDF] Graph contextualized self-attention network for session-based recommendation.

C Xu, P Zhao, Y Liu, VS Sheng, J Xu, F Zhuang, J Fang… - IJCAI, 2019 - ijcai.org
Session-based recommendation, which aims to predict the user's immediate next action
based on anonymous sessions, is a key task in many online services (eg, e-commerce …

Session-based recommendation with graph neural networks

S Wu, Y Tang, Y Zhu, L Wang, X Xie… - Proceedings of the AAAI …, 2019 - ojs.aaai.org
The problem of session-based recommendation aims to predict user actions based on
anonymous sessions. Previous methods model a session as a sequence and estimate user …

A survey on text classification: From shallow to deep learning

Q Li, H Peng, J Li, C Xia, R Yang, L Sun, PS Yu… - arXiv preprint arXiv …, 2020 - arxiv.org
Text classification is the most fundamental and essential task in natural language
processing. The last decade has seen a surge of research in this area due to the …

A survey of event extraction from text

W Xiang, B Wang - IEEE Access, 2019 - ieeexplore.ieee.org
Numerous important events happen everyday and everywhere but are reported in different
media sources with different narrative styles. How to detect whether real-world events have …

Fi-gnn: Modeling feature interactions via graph neural networks for ctr prediction

Z Li, Z Cui, S Wu, X Zhang, L Wang - Proceedings of the 28th ACM …, 2019 - dl.acm.org
Click-through rate (CTR) prediction is an essential task in web applications such as online
advertising and recommender systems, whose features are usually in multi-field form. The …

" Going on a vacation" takes longer than" Going for a walk": A Study of Temporal Commonsense Understanding

B Zhou, D Khashabi, Q Ning, D Roth - arXiv preprint arXiv:1909.03065, 2019 - arxiv.org
Understanding time is crucial for understanding events expressed in natural language.
Because people rarely say the obvious, it is often necessary to have commonsense …

What is event knowledge graph: A survey

S Guan, X Cheng, L Bai, F Zhang, Z Li… - … on Knowledge and …, 2022 - ieeexplore.ieee.org
Besides entity-centric knowledge, usually organized as Knowledge Graph (KG), events are
also an essential kind of knowledge in the world, which trigger the spring up of event-centric …