Stacking: A novel data-driven ensemble machine learning strategy for prediction and mapping of Pb-Zn prospectivity in Varcheh district, west Iran

M Hajihosseinlou, A Maghsoudi… - Expert Systems with …, 2024 - Elsevier
Various ensemble machine learning techniques have been widely studied and implemented
to construct the predictive models in different sciences, including bagging, boosting, and …

[HTML][HTML] A novel hybrid feature selection and ensemble-based machine learning approach for botnet detection

MA Hossain, MS Islam - Scientific Reports, 2023 - nature.com
In the age of sophisticated cyber threats, botnet detection remains a crucial yet complex
security challenge. Existing detection systems are continually outmaneuvered by the …

Sentiment analysis of imbalanced datasets using BERT and ensemble stacking for deep learning

N Habbat, H Nouri, H Anoun, L Hassouni - Engineering Applications of …, 2023 - Elsevier
The Internet is a crucial way to share information in both personal and professional areas.
Sentiment analysis attracts great interest in marketing, research, and business today. The …

Global recession sentiment analysis utilizing VADER and ensemble learning method with word embedding

MR Ningsih, KAH Wibowo, AU Dullah… - Journal of Soft …, 2023 - shmpublisher.com
The issue of the Global Recession is hitting various countries, including Indonesia. Many
Indonesians have expressed their opinions on the issue of the global recession in 2023, one …

The Optimization of Credit Scoring Model Using Stacking Ensemble Learning and Oversampling Techniques

R Rofik, R Aulia, K Musaadah… - Journal of Information …, 2024 - shmpublisher.com
Credit risk assessment plays an important role in efficient and safe banking decision-
making. Many studies have been conducted to analyze credit scoring with a focus on …

Bankruptcy prediction using genetic algorithm-support vector machine (GA-SVM) feature selection and stacking

WF Abror, A Alamsyah, M Aziz - Journal of Information System …, 2023 - shmpublisher.com
Bankruptcy is an impact caused by a company's financial failure. Financial failure in the
company must be avoided so as not to cause losses to the company. In the research that …

Enterprise Digital Payment Trends Survey Post COVID-19 Situation

LA Abdillah, DK Putri, A Artavi - Scientific Journal of Informatics, 2023 - journal.unnes.ac.id
Purpose: This research article presents the results of a survey on digital payment
transactions using mobile Fintech applications. The target users are from the tenant or seller …

Joint loan risk prediction based on deep learning‐optimized stacking model

Y Wang, M Wang, Y Pan, J Chen - Engineering Reports, 2024 - Wiley Online Library
In recent years, China's automobile industry has undergone rapid development, creating
new opportunities for the auto loan industry. Currently, auto financing companies are …

Optimized Handwriting-based Parkinson's Disease Classification Using Ensemble Modeling and VGG19 Feature Extraction

J Unjung, MR Ningsih - Scientific Journal of Informatics, 2023 - journal.unnes.ac.id
Purpose: Parkinson's is a neurological disorder that causes muscles to weaken and arms
and legs to tremor over time. The discovery and identification of the stages of Parkinson's …

Ensemble learning technique to improve breast cancer classification model

AU Dullah, FN Apsari, J Jumanto - Journal of Soft Computing …, 2023 - shmpublisher.com
Cancer is a disease characterized by abnormal cell growth and is not contagious, such as
breast cancer which can affect both men and women. breast cancer is one of the cancer …