相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Hand-drawn electronic component recognition using deep learning algorithm
Haiyan Wang et al.
INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY (2020)
Cloud-based electricity consumption analysis using neural network
Nand Kumar et al.
INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY (2020)
Financial system modeling using deep neural networks (DNNs) for effective risk assessment and prediction
Jing Duan
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS (2019)
Wide and deep learning for peer-to-peer lending
Kaveh Bastani et al.
EXPERT SYSTEMS WITH APPLICATIONS (2019)
A Dynamic Default Prediction Framework for Networked-guarantee Loans
Dawei Cheng et al.
PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM '19) (2019)
A new aspect on P2P online lending default prediction using meta-level phone usage data in China
Lin Ma et al.
DECISION SUPPORT SYSTEMS (2018)
An empirical comparison on state-of-the-art multi-class imbalance learning algorithms and a new diversified ensemble learning scheme
Jingjun Bi et al.
KNOWLEDGE-BASED SYSTEMS (2018)
The use of profit scoring as an alternative to credit scoring systems in peer-to-peer (P2P) lending
Carlos Serrano-Cinca et al.
DECISION SUPPORT SYSTEMS (2016)
Comparing Oversampling Techniques to Handle the Class Imbalance Problem: A Customer Churn Prediction Case Study
Adnan Amin et al.
IEEE ACCESS (2016)
A data-driven approach to predict default risk of loan for online Peer-to-Peer(P2P) lending
Yu Jin et al.
2015 FIFTH INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS AND NETWORK TECHNOLOGIES (CSNT2015) (2015)
Predicting Credit Risk in Peer-to-Peer Lending: A Neural Network Approach
Ajay Byanjankar et al.
2015 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI) (2015)