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05/16/2023
One-shot neural band selection for spectral recovery
Band selection has a great impact on the spectral recovery quality. To s...
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12/25/2021
A comparative study on machine learning models combining with outlier detection and balanced sampling methods for credit scoring
Peer-to-peer (P2P) lending platforms have grown rapidly over the past de...
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12/19/2021
Managing dataset shift by adversarial validation for credit scoring
Dataset shift is common in credit scoring scenarios, and the inconsisten...
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03/22/2020
K-Core based Temporal Graph Convolutional Network for Dynamic Graphs
Graph representation learning is a fundamental task of various applicati...
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07/30/2019
An alarm prediction framework for financial IT system using hybrid machine learning methods
Informatization grows rapidly in all walks of life, going with the enhan...
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03/04/2019
Unsupervised Cross-spectral Stereo Matching by Learning to Synthesize
Unsupervised cross-spectral stereo matching aims at recovering disparity...
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10/26/2017