The Banker

Banks and regulators clash over ‘black box’ AI credit risk

Earlier this year when a UK Treasury Committee released a report warning that regulators’ complacency on AI in financial ...
IEEE

Influence-Balanced XGBoost: Improving XGBoost for Imbalanced Data Using Influence Functions

Abstract: Decision tree boosting algorithms, such as XGBoost, have demonstrated superior predictive performance on tabular data for supervised learning compared to neural networks. However, recent ...
Nature

Hybrid XGBoost-RF-MLP model and PSO optimization for performance and emissions of CI engine using waste cooking biodiesel blends

Transesterification was used to create methyl ester from waste cooking oil (WCO). Diesel oil and biodiesel blends in 25, 50, 75, and 100% were developed and authorized by ASTM. The primary ...
GitHub

suan-4/Time-Series-Forecasting-of-Power-Load-Employing-the-XGBoost-Algorithm

这是你suan的第一个项目，每日电力负荷的时间序列预测模型,数据集格式模板为：'年/月/日 时:分'(year/month/day hour:minute ...
ascopubs.org

Prediction of Patients With High-Risk Osteosarcoma on the Basis of XGBoost Algorithm Using Transcriptome and Methylation Data From SGH-OS Cohort

Benefits of Combining Circulating Tumor DNA With Tissue and Longitudinal Circulating Tumor DNA Genotyping in Advanced Solid Tumors: SCRUM-Japan MONSTAR-SCREEN-1 Study Osteosarcoma (OS) is the most ...
Searchenginejournal.com

Google Completes November 2024 Core Update

The November 2024 core update took three weeks to complete. With the update complete, now is the time to analyze traffic changes. Recovery from ranking drops can take several months with no guaranteed ...
LinkedIn

UNDERSTANDING THE WORKING OF XGBOOST ALGORITHM IN CLASSIFICATION PROBLEMS

XGBoost is a boosting algorithm in Ensemble Learning. It follows the Supervised Machine Learning paradigm. It was initiated as a research work by Tianqi Chen. XGBoost, which means Extreme Gradient ...
Nature

A comparison between machine and deep learning models on high stationarity data

Advances in sensor, computing, and communication technologies are enabling big data analytics by providing time series data. However, conventional models struggle to identify sequence features and ...
Scientific Research Publishing

Song, P. (2020) An XGBoost Algorithm for Predicting Purchasing Behaviour on E-Commerce Platforms. Technical Gazette, 27, No. 5.

ABSTRACT: This research introduces a novel approach to improve and optimize the predictive capacity of consumer purchase behaviors on e-commerce platforms. This study presented an introduction to the ...
Scientific Research Publishing

Mitchell, R. and Frank, E. (2017) Accelerating the XGboost Algorithm Using GPU Computing. PeerJ Computer Science, 3, e127.

ABSTRACT: In this paper, we explore the ability of a hybrid model integrating Long Short-Term Memory (LSTM) networks and eXtreme Gradient Boosting (XGBoost) to enhance the prediction accuracy of Type ...