Bankruptcy prediction on the base of the unbalanced data using multi-objective selection of classifiers

The impact of class imbalance in classification performance metrics based on the binary confusion matrix

(2019) Amalia Luque et al.   PATTERN RECOGNITION

Example-dependent cost-sensitive adaptive boosting

(2019) Yuri Zelenkov   EXPERT SYSTEMS WITH APPLICATIONS

Dynamic ensemble classification for credit scoring using soft probability

(2018) Xiaodong Feng et al.   APPLIED SOFT COMPUTING

An investigation of bankruptcy prediction in imbalanced datasets

(2018) David Veganzones et al.   DECISION SUPPORT SYSTEMS

Systematic review of bankruptcy prediction models: Towards a framework for tool selection

(2018) Hafiz A. Alaka et al.   EXPERT SYSTEMS WITH APPLICATIONS

Investigating the impact of selection criteria in dynamic ensemble selection methods

(2018) Jose Augusto S. Lustosa Filho et al.   EXPERT SYSTEMS WITH APPLICATIONS

Dynamic classifier selection: Recent advances and perspectives

(2018) Rafael M.O. Cruz et al.   Information Fusion

A study on combining dynamic selection and data preprocessing for imbalance learning

(2018) Anandarup Roy et al.   NEUROCOMPUTING

Handling data irregularities in classification: Foundations, trends, and future challenges

(2018) Swagatam Das et al.   PATTERN RECOGNITION

Oversampling Techniques for Bankruptcy Prediction: Novel Features from a Transaction Dataset

(2018) Tuong Le et al.   Symmetry-Basel

The best of two worlds: Balancing model strength and comprehensibility in business failure prediction using spline-rule ensembles

(2017) Koen W. De Bock   EXPERT SYSTEMS WITH APPLICATIONS

Two-step classification method based on genetic algorithm for bankruptcy forecasting

(2017) Yuri Zelenkov et al.   EXPERT SYSTEMS WITH APPLICATIONS

Learning from class-imbalanced data: Review of methods and applications

(2017) Guo Haixiang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Machine learning models and bankruptcy prediction

(2017) Flavio Barboza et al.   EXPERT SYSTEMS WITH APPLICATIONS

A Survey of Predictive Modeling on Imbalanced Domains

(2016) Paula Branco et al.   ACM COMPUTING SURVEYS

Financial distress prediction using the hybrid associative memory with translation

(2016) L. Cleofas-Sánchez et al.   APPLIED SOFT COMPUTING

A two-stage classification technique for bankruptcy prediction

(2016) Philippe du Jardin   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Financial ratios and corporate governance indicators in bankruptcy prediction: A comprehensive study

(2016) Deron Liang et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Optimization of cluster-based evolutionary undersampling for the artificial neural networks in corporate bankruptcy prediction

(2016) Hyun-Jung Kim et al.   EXPERT SYSTEMS WITH APPLICATIONS

Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction

(2016) Maciej Zięba et al.   EXPERT SYSTEMS WITH APPLICATIONS

Empowering one-vs-one decomposition with ensemble learning for multi-class imbalanced data

(2016) Zhongliang Zhang et al.   KNOWLEDGE-BASED SYSTEMS

Cost-sensitive boosting algorithms: Do we really need them?

(2016) Nikolaos Nikolaou et al.   MACHINE LEARNING

Financial credit risk assessment: a recent review

(2015) Ning Chen et al.   ARTIFICIAL INTELLIGENCE REVIEW

Geometric mean based boosting algorithm with over-sampling to resolve data imbalance problem for bankruptcy prediction

(2015) Myoung-Jong Kim et al.   EXPERT SYSTEMS WITH APPLICATIONS

AdaBoost based bankruptcy forecasting of Korean construction companies

(2014) Junyoung Heo et al.   APPLIED SOFT COMPUTING

An insight into the experimental design for credit risk and corporate bankruptcy prediction systems

(2014) Vicente García et al.   JOURNAL OF INTELLIGENT INFORMATION SYSTEMS

Dynamic selection of classifiers—A comprehensive review

(2014) Alceu S. Britto et al.   PATTERN RECOGNITION

Performance of corporate bankruptcy prediction models on imbalanced dataset: The effect of sampling methods

(2013) Ligang Zhou   KNOWLEDGE-BASED SYSTEMS

Novel Cost-Sensitive Approach to Improve the Multilayer Perceptron Performance on Imbalanced Data

(2013) C. L. Castro et al.   IEEE Transactions on Neural Networks and Learning Systems

Bankruptcy prediction in firms with statistical and intelligent techniques and a comparison of evolutionary computation approaches

(2011) Mu-Yen Chen   COMPUTERS & MATHEMATICS WITH APPLICATIONS

A genetic algorithm-based approach to cost-sensitive bankruptcy prediction

(2011) Ning Chen et al.   EXPERT SYSTEMS WITH APPLICATIONS

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING