Empowering many, biasing a few: Generalist credit scoring through large language models

D Feng, Y Dai, J Huang, Y Zhang, Q Xie, W Han… - arXiv preprint arXiv …, 2023 - arxiv.org
Credit and risk assessments are cornerstones of the financial landscape, impacting both
individual futures and broader societal constructs. Existing credit scoring models often …

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 …

Three novel cost-sensitive machine learning models for urban growth modelling

M Ahmadlou, M Karimi, SS Sammen… - Geocarto …, 2024 - Taylor & Francis
This article addresses the class imbalance problem in urban gain modelling (UGM) of Tabriz
and Isfahan megacities in Iran by proposing novel cost-sensitive machine learning models …

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 …

Using genetic algorithm feature selection to optimize XGBoost performance in Australian credit

DAA Pertiwi, K Ahmad, SN Salahudin… - Journal of Soft …, 2024 - shmpublisher.com
To reduce credit risk in credit institutions, credit risk management practices need to be
implemented so that lending institutions can survive in the long term. Data mining is one of …

Research on software regression testing method considering greedy algorithm sorting weight

W Wang - International Journal of Bio-Inspired Computation, 2024 - inderscienceonline.com
A regression testing algorithm based on greedy algorithm sorting weight is proposed to
further improve the efficiency and effectiveness of software regression test. In view of the …

Improved playstore review sentiment classification accuracy with stacking ensemble

DB Santoso, A Munna… - Journal of Soft Computing …, 2024 - shmpublisher.com
In today's digital era, user reviews on the Playstore platform are an invaluable source of
information for developers, offering insights that are critical for service improvement …

Bankruptcy Prediction using Diophantine Neutrosophic Number for Enterprise Resource Planning on Value of Accounting Information

A Alhebri, GF Gubarah, A Alsayegh, RH Alkebssi… - Full Length …, 2024 - americaspg.com
Abstract Enterprise Resource Planning (ERP) is paramount in modern business, integrating
many fundamental processes such as human resources, economics, customer relationship …

Use of machine learning in bankruptcy prediction with highly imbalanced datasets: The impact of sampling methods

W Mahembe - 2024 - diva-portal.org
Since Altman's 1968 discriminant analysis model for corporate bankruptcy prediction, there
have been numerous studies applying statistical and machine learning (ML) models in …