Results 141 to 150 of about 16,703 (255)

An Aging Clock Based on Immune Repertoire Features: COVID‐19 Accelerates Aging

open access: yesAging Cell, Volume 25, Issue 7, July 2026.
We systematically profiled TCR/BCR repertoires in Chinese individuals and paired COVID‐19 samples, revealed aging‐driven remodeling and COVID‐accelerated immune senescence, and built a reliable immune repertoire aging clock for immune senescence evaluation.
Xin Gao   +13 more
wiley   +1 more source

Machine Learning‐Based Loan Approval Automation: Enhancing Efficiency, Accuracy and Fairness in Credit Decision‐Making

open access: yesExpert Systems, Volume 43, Issue 7, July 2026.
ABSTRACT Traditional loan approval processes are manual, time‐consuming and susceptible to human bias. This research develops a machine learning‐based system to automate loan eligibility assessment while enhancing efficiency, accuracy and fairness in credit decision‐making. We developed and compared multiple supervised ML models—including Random Forest,
Mani Ghahremani   +3 more
wiley   +1 more source

Enhancing Credit Risk Classification Using LightGBM with Deep Feature Synthesis

open access: yes
In the digital financial services era, Peer-to-Peer (P2P) lending has emerged as a significant innovation in fintech. However, credit risk remains a major concern due to the potential for payment failures, which can cause losses for platforms and ...
Sitorus, Kristina Margaret   +4 more
core   +1 more source

DETEKSI KONDISI MINYAK TRANSFORMATOR MENGGUNAKAN DISSOLVED GAS ANALYSIS DENGAN METODE LIGHT GRADIENT BOOSTING MACHINE (LIGHTGBM)

open access: yes
Transformator adalah alat penting dalam jaringan listrik yang berfungsi mentransfer energi listrik. Agar transformator bisa bekerja dengan baik, dibutuhkan minyak transformator yang berfungsi sebagai pelindung dan pendingin.
MUSTAQIM, MUHAMMAD REZA   +2 more
core  

Predicting smartphone email marketing campaign clicks with the LightGBM algorithm

open access: yes, 2020
Tässä työssä aiheena on älypuhelin sähköpostikampanijoiden klikkausten mallintaminen ja ennus- taminen LightGBM algortimin avulla. Mainosten klikkaamisen ennustamista käytetään sähkö- posti markkinoinnin kohdentamiseen potentiaalisesti kiinnostuneille ...
Perälampi, Minna
core  

Predicting Asthma Exacerbation Risk in the Adult South Korean Population Using Integrated Health Data and Machine Learning Models

open access: yesJournal of Asthma and Allergy
Joon Young Choi,1 Chin Kook Rhee2 1Department of Internal Medicine, Incheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea; 2Department of Internal Medicine, Seoul St.
Choi JY, Rhee CK
doaj  

Intrusion Detection Model of Internet of Things Based on LightGBM

open access: yesIEICE Transactions on Communications, 2021
ZHAO, Guosheng, WANG, Yang, WANG, Jian
openaire   +1 more source

Listeria Genome Identification Using DNABERT Embedding With LightGBM and SHAP-Based Explainable Classification. [PDF]

open access: yesBioinform Biol Insights
Arumugam SR   +5 more
europepmc   +1 more source

GBNet: XGBoost and LightGBM PyTorch Modules

open access: yes
GBNet is a Python package that integrates XGBoost and LightGBM with PyTorch. By leveraging PyTorch auto-differentiation, GBNet enables novel architectures for GBMs that were previously exclusive to pure Neural Networks. The result is a greatly expanded set of applications for GBMs and an improved ability to interpret expressive architectures due to the
openaire   +2 more sources

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