[1]
|
Optimizing Financial Engineering Time Indicator Using Bionics Computation Algorithm and Neural Network Deep Learning
Computational Economics,
2022
DOI:10.1007/s10614-022-10253-7
|
|
|
[2]
|
A Self-adaptive Indicator Selection Approach for Solving Credit Risk Assessment
2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC),
2022
DOI:10.1109/COMPSAC54236.2022.00249
|
|
|
[3]
|
Heuristic strategies for solving the combinatorial optimization problem in real-world credit risk assessment
Proceedings of the Genetic and Evolutionary Computation Conference Companion,
2022
DOI:10.1145/3520304.3528924
|
|
|
[4]
|
Heuristic strategies for solving the combinatorial optimization problem in real-world credit risk assessment
Proceedings of the Genetic and Evolutionary Computation Conference Companion,
2022
DOI:10.1145/3520304.3528924
|
|
|
[5]
|
Heuristic strategies for solving the combinatorial optimization problem in real-world credit risk assessment
Proceedings of the Genetic and Evolutionary Computation Conference Companion,
2022
DOI:10.1145/3520304.3528924
|
|
|
[6]
|
Heuristic strategies for solving the combinatorial optimization problem in real-world credit risk assessment
Proceedings of the Genetic and Evolutionary Computation Conference Companion,
2022
DOI:10.1145/3520304.3528924
|
|
|
[7]
|
Rule-based credit risk assessment model using multi-objective evolutionary algorithms
Expert Systems with Applications,
2019
DOI:10.1016/j.eswa.2019.01.078
|
|
|
[8]
|
An ensemble semi-supervised learning method for predicting defaults in social lending
Engineering Applications of Artificial Intelligence,
2019
DOI:10.1016/j.engappai.2019.02.014
|
|
|