Results 151 to 160 of about 38,464 (255)

XGEM: Predicting Essential miRNAs by the Ensembles of Various Sequence-Based Classifiers With XGBoost Algorithm. [PDF]

Front Genet, 2022
Min H, Xin XH, Gao CQ, Wang L, Du PF.
europepmc   +1 more source

XGBoost Algorithm under Differential Privacy Protection

Journal of Information Hiding and Privacy Protection, 2021
Yuanmin Shi, Siran Yin, Ze Chen, Leiming Yan   +3 more
openaire   +1 more source

Using Machine Learning to Predict Corporate Environmental Violation: A Stakeholder Pressure Perspective

Business Strategy and the Environment, EarlyView.
ABSTRACT Predicting corporate environmental violations remains a key challenge in practice and in environmental governance research. However, existing studies have largely focused on ex post associations between stakeholder pressures and realized environmental violations, offering limited insight into whether stakeholder pressures can be used ex ante ...
Xiaolan Chen, Ning Ding, Haodong Jin, Rui Xue, Yuhao Yang   +4 more
wiley   +1 more source

Determinants and prediction of home nursing utilization among older adults in China: an integration of logistic regression and XGBoost algorithm. [PDF]

BMC Nurs
Zhao J, Du X, Lin J, Guo W, Wang S, Yang F.   +5 more
europepmc   +1 more source

Public Emotions and Climate Change Awareness: Understanding Shifting Perceptions for Sustainable Futures

Business Strategy and the Environment, EarlyView.
ABSTRACT Understanding the evolving emotional landscape surrounding climate change is critical for developing effective environmental strategies and communication. This study offers an analysis of public emotions toward human‐induced climate change by leveraging big data analytics and machine learning techniques on social media content from platform X.
Qingfeng Tian, Gorkem Sarp, Narges Siamian, Farid Shirazi, Tahir M. Nisar, Nick Hajli   +5 more
wiley   +1 more source

MediaMatch: Prediction of Bacterial Growth on Different Culture Media Using the XGBoost Algorithm. [PDF]

Microb Biotechnol
Liu J, Xu G, Liu W, Liu T, Li Y, Tu T, Luo H, Wu N, Yao B, Tian J, Zhang J, Guan F.   +11 more
europepmc   +1 more source

Prediction Model of Bone Marrow Infiltration in Patients with Malignant Lymphoma Based on Logistic Regression and XGBoost Algorithm. [PDF]

Comput Math Methods Med, 2022
Huang Y, Chen C, Miao Y.
europepmc   +1 more source

Analysis of Ruddlesden‐Popper and Dion‐Jacobson 2D Lead Halide Perovskites Through Integrated Experimental and Computational Analysis

Battery Energy, Volume 4, Issue 2, March 2025.
Optimized ML framework for predicting RP and Dj phases in perovskite solar cells. ABSTRACT Two‐dimensional (2D) lead halide perovskites (LHPs) have captured a range of interest for the advancement of state‐of‐the‐art optoelectronic devices, highly efficient solar cells, next‐generation energy harvesting technologies owing to their hydrophobic nature ...
Basir Akbar, Kil To Chong, Hilal Tayara
wiley   +1 more source

Evaluation of coseismic landslide susceptibility by combining Newmark model and XGBoost algorithm. [PDF]

PLoS One
Zhang C, Wang Z, Xiao J, Wang Z, Zhao D, Li Z.   +5 more
europepmc   +1 more source

Prediction of Prevalent Cardiovascular Disease Using Social, Environmental, and Behavioral Factors: A Vital Conditions Framework Approach

Chronic Diseases and Translational Medicine, EarlyView.
The Vital Conditions Framework. Graphical representation of the Vital Conditions for Health Framework with seven domains. Images used with permission from The Rippel Foundation: An Introduction to the Vital Conditions for Health and Well‐Being. https://rippel.org/events/webinar-an-introduction-to-the-vital-conditions-for-health-and-well-being/. Federal
Stephanie Kjelstrom, Richard Hass, Robert Vollbrecht, Brandon George, Sharon Larson   +4 more
wiley   +1 more source