[HTML][HTML] A comprehensive review on ensemble deep learning: Opportunities and challenges

A Mohammed, R Kora - Journal of King Saud University-Computer and …, 2023 - Elsevier
In machine learning, two approaches outperform traditional algorithms: ensemble learning
and deep learning. The former refers to methods that integrate multiple base models in the …

Statistical and machine learning models in credit scoring: A systematic literature survey

X Dastile, T Celik, M Potsane - Applied Soft Computing, 2020 - Elsevier
In practice, as a well-known statistical method, the logistic regression model is used to
evaluate the credit-worthiness of borrowers due to its simplicity and transparency in …

Forecasting gold price with the XGBoost algorithm and SHAP interaction values

SB Jabeur, S Mefteh-Wali, JL Viviani - Annals of Operations Research, 2024 - Springer
Financial institutions, investors, mining companies and related firms need an effective
accurate forecasting model to examine gold price fluctuations in order to make correct …

[HTML][HTML] An effective ensemble deep learning framework for text classification

A Mohammed, R Kora - Journal of King Saud University-Computer and …, 2022 - Elsevier
Over the last decade Deep learning-based models surpasses classical machine learning
models in a variety of text classification tasks. The primary challenge with text classification …

Ensemble of keyword extraction methods and classifiers in text classification

A Onan, S Korukoğlu, H Bulut - Expert Systems with Applications, 2016 - Elsevier
Automatic keyword extraction is an important research direction in text mining, natural
language processing and information retrieval. Keyword extraction enables us to represent …

Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research

S Lessmann, B Baesens, HV Seow… - European Journal of …, 2015 - Elsevier
Many years have passed since Baesens et al. published their benchmarking study of
classification algorithms in credit scoring [Baesens, B., Van Gestel, T., Viaene, S …

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

HA Alaka, LO Oyedele, HA Owolabi, V Kumar… - Expert Systems with …, 2018 - Elsevier
The bankruptcy prediction research domain continues to evolve with many new different
predictive models developed using various tools. Yet many of the tools are used with the …

A comparative study on base classifiers in ensemble methods for credit scoring

J Abellán, JG Castellano - Expert systems with applications, 2017 - Elsevier
In the last years, the application of artificial intelligence methods on credit risk assessment
has meant an improvement over classic methods. Small improvements in the systems about …

Classification methods applied to credit scoring: Systematic review and overall comparison

F Louzada, A Ara, GB Fernandes - Surveys in Operations Research and …, 2016 - Elsevier
The need for controlling and effectively managing credit risk has led financial institutions to
excel in improving techniques designed for this purpose, resulting in the development of …

Classifiers consensus system approach for credit scoring

M Ala'raj, MF Abbod - Knowledge-Based Systems, 2016 - Elsevier
Banks take great care when dealing with customer loans to avoid any improper decisions
that can lead to loss of opportunity or financial losses. Regarding this, researchers have …