Default Risk Prediction of Enterprises Based on Convolutional Neural Network in the Age of Big Data: Analysis from the Viewpoint of Different Balance Ratios

An occupant-centric adaptive façade based on real-time and contactless glare and thermal discomfort estimation using deep learning algorithm

(2022) Yuxiao Wang et al.   BUILDING AND ENVIRONMENT

Evaluating borrowers’ default risk with a spatial probit model reflecting the distance in their relational network

(2022) Jong Wook Lee et al.   PLoS One

A New Oversampling Method Based on the Classification Contribution Degree

(2021) Zhenhao Jiang et al.   Symmetry-Basel

Credit risk classification: an integrated predictive accuracy algorithm using artificial and deep neural networks

(2021) Mohammad Mahbobi et al.   ANNALS OF OPERATIONS RESEARCH

Performance Prediction for Higher Education Students Using Deep Learning

(2021) Shuping Li et al.   COMPLEXITY

Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects

(2021) Elena Dumitrescu et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

A new hybrid ensemble model with voting-based outlier detection and balanced sampling for credit scoring

(2021) Wenyu Zhang et al.   EXPERT SYSTEMS WITH APPLICATIONS

A credit risk assessment model of borrowers in P2P lending based on BP neural network

(2021) Zhengwei Ma et al.   PLoS One

Listening to the investors: A novel framework for online lending default prediction using deep learning neural networks

(2020) Xiangling Fu et al.   INFORMATION PROCESSING & MANAGEMENT

A new deep learning ensemble credit risk evaluation model with an improved synthetic minority oversampling technique

(2020) Feng Shen et al.   APPLIED SOFT COMPUTING

Ensemble of deep sequential models for credit card fraud detection

(2020) Javad Forough et al.   APPLIED SOFT COMPUTING

A novel graph convolutional feature based convolutional neural network for stock trend prediction

(2020) Wei Chen et al.   INFORMATION SCIENCES

A multi-objective approach for profit-driven feature selection in credit scoring

(2019) Nikita Kozodoi et al.   DECISION SUPPORT SYSTEMS

HOBA: A novel feature engineering methodology for credit card fraud detection with a deep learning architecture

(2019) Xinwei Zhang et al.   INFORMATION SCIENCES

A wrapper-filter feature selection technique based on ant colony optimization

(2019) Manosij Ghosh et al.   NEURAL COMPUTING & APPLICATIONS

Genetic algorithm-optimized multi-channel convolutional neural network for stock market prediction

(2019) Hyejung Chung et al.   NEURAL COMPUTING & APPLICATIONS

Anticipating Stock Market of the Renowned Companies: A Knowledge Graph Approach

(2019) Yang Liu et al.   COMPLEXITY

Credit spread approximation and improvement using random forest regression

(2019) Mathieu Mercadier et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Cost-sensitive feature selection using two-archive multi-objective artificial bee colony algorithm

(2019) Yong Zhang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Binary differential evolution with self-learning for multi-objective feature selection

(2019) Yong Zhang et al.   INFORMATION SCIENCES

A DBN-based resampling SVM ensemble learning paradigm for credit classification with imbalanced data

(2018) Lean Yu et al.   APPLIED SOFT COMPUTING

Whale optimization approaches for wrapper feature selection

(2018) Majdi Mafarja et al.   APPLIED SOFT COMPUTING

Cost-sensitive payment card fraud detection based on dynamic random forest and k -nearest neighbors

(2018) Sanaz Nami et al.   EXPERT SYSTEMS WITH APPLICATIONS

Feature selection considering two types of feature relevancy and feature interdependency

(2018) Liang Hu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Predicting mortgage default using convolutional neural networks

(2018) Håvard Kvamme et al.   EXPERT SYSTEMS WITH APPLICATIONS

Relief-Based Feature Selection: Introduction and Review

(2018) Ryan J. Urbanowicz et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Adaptive Unsupervised Feature Selection With Structure Regularization

(2018) Minnan Luo et al.   IEEE Transactions on Neural Networks and Learning Systems

A new feature selection method to improve the document clustering using particle swarm optimization algorithm

(2018) Laith Mohammad Abualigah et al.   Journal of Computational Science

Study on a prediction of P2P network loan default based on the machine learning LightGBM and XGboost algorithms according to different high dimensional data cleaning

(2018) Xiaojun Ma et al.   Electronic Commerce Research and Applications

Transfer learning-based default prediction model for consumer credit in China

(2018) Wei Li et al.   JOURNAL OF SUPERCOMPUTING

A novel deep learning-based method for damage identification of smart building structures

(2018) Yang Yu et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Cost-based feature selection for Support Vector Machines: An application in credit scoring

(2017) Sebastián Maldonado et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Linear classifier design under heteroscedasticity in Linear Discriminant Analysis

(2017) Kojo Sarfo Gyamfi et al.   EXPERT SYSTEMS WITH APPLICATIONS

Feature selection based on FDA and F-score for multi-class classification

(2017) QingJun Song et al.   EXPERT SYSTEMS WITH APPLICATIONS

A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring

(2017) Yufei Xia et al.   EXPERT SYSTEMS WITH APPLICATIONS

Using generative adversarial networks for improving classification effectiveness in credit card fraud detection

(2017) Ugo Fiore et al.   INFORMATION SCIENCES

Feature selection via a novel chaotic crow search algorithm

(2017) Gehad Ismail Sayed et al.   NEURAL COMPUTING & APPLICATIONS

A Survey on semi-supervised feature selection methods

(2017) Razieh Sheikhpour et al.   PATTERN RECOGNITION

A PSO-based multi-objective multi-label feature selection method in classification

(2017) Yong Zhang et al.   Scientific Reports

Adaptive semi-unsupervised weighted oversampling (A-SUWO) for imbalanced datasets

(2016) Iman Nekooeimehr et al.   EXPERT SYSTEMS WITH APPLICATIONS

Feature selection for high-dimensional classification using a competitive swarm optimizer

(2016) Shenkai Gu et al.   SOFT COMPUTING

Genetic algorithm-based heuristic for feature selection in credit risk assessment

(2013) Stjepan Oreski et al.   EXPERT SYSTEMS WITH APPLICATIONS

An experimental comparison of classification algorithms for imbalanced credit scoring data sets

(2011) Iain Brown et al.   EXPERT SYSTEMS WITH APPLICATIONS

Combination of feature selection approaches with SVM in credit scoring

(2009) Fei-Long Chen et al.   EXPERT SYSTEMS WITH APPLICATIONS