Analysis of the 50-mile ultramarathon distance using a predictive XGBoost model
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-92581-w
Abstract: Although the 50-mile ultramarathon is one of the most common race distances, it has received little scientific attention. The objective of this study was to assess how an athlete’s age group, sex, nationality, and the… read more here.
Keywords: xgboost; mile ultramarathon; model; race ... See more keywords
MATHEMATICAL MODELLING OF SURVIVAL IN LOW GRADE GLIOMAS AT MALIGNANT TRANSFORMATION WITH XGBOOST
Sign Up to like & getrecommendations! Published in 2024 at "Neuro-Oncology"
DOI: 10.1093/neuonc/noae158.048
Abstract: To develop non-linear machine learning models using the XGBoost algorithm to predict a continuous (overall survival (OS) and a binary survival outcome (OS > 5 years) using clinical, molecular and genetic, and radiomic data. Patients… read more here.
Keywords: xgboost; survival; malignant transformation; modelling survival ... See more keywords
A Comprehensive Study of Smartphone-Based Indoor Activity Recognition via Xgboost
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2922974
Abstract: Recently, multi-floor indoor positioning has become increasingly interesting for researchers, in which accurate recognition of indoor activities is critical for the detection of floor changes and the improvement of positioning accuracy according to indoor landmarks.… read more here.
Keywords: comprehensive study; indoor activity; recognition; activity recognition ... See more keywords
Prediction Dynamics in Cotton Aphid Using Unmanned Aerial Vehicle Multispectral Images and Vegetation Indices
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3235912
Abstract: Cotton harvest can be increased by having real-time information on the state of cotton aphid populations. However, traditional cotton aphid monitoring relies on ground sample methods supported by models such as linear regression, resulting in… read more here.
Keywords: xgboost; cotton aphid; cotton; svr ... See more keywords
ELXGB: An Efficient and Privacy-Preserving XGBoost for Vertical Federated Learning
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Services Computing"
DOI: 10.1109/tsc.2024.3394706
Abstract: With the rapid growth of Internet data volumes, Big Data analysis technologies have gradually permeated all aspects of life. However, the existence of data silos and the promulgation of relevant regulations make it challenging to… read more here.
Keywords: privacy preserving; xgboost; vertical federated; federated learning ... See more keywords
Drug-induced cell viability prediction from LINCS-L1000 through WRFEN-XGBoost algorithm
Sign Up to like & getrecommendations! Published in 2021 at "BMC Bioinformatics"
DOI: 10.1186/s12859-020-03949-w
Abstract: Background Predicting the drug response of the cancer diseases through the cellular perturbation signatures under the action of specific compounds is very important in personalized medicine. In the process of testing drug responses to the… read more here.
Keywords: medicine; cell viability; lincs l1000; drug ... See more keywords
Analysis and prediction of hand, foot and mouth disease incidence in China using Random Forest and XGBoost
Sign Up to like & getrecommendations! Published in 2021 at "PLoS ONE"
DOI: 10.1371/journal.pone.0261629
Abstract: Hand, foot and mouth disease (HFMD) is an increasingly serious public health problem, and it has caused an outbreak in China every year since 2008. Predicting the incidence of HFMD and analyzing its influential factors… read more here.
Keywords: xgboost; prediction; mainland china; incidence ... See more keywords
Optimizing Virtual Reality Solutions for Predicting English Online Network Performance Using the XGBoost Algorithm
Sign Up to like & getrecommendations! Published in 2024 at "Computer-Aided Design and Applications"
DOI: 10.14733/cadaps.2024.s17.49-62
Abstract: . In view of the current informatization needs of English learning and the advantages of deep learning algorithms, an English grade prediction based on the XGBoost algorithm is proposed. In order to verify the validity… read more here.
Keywords: xgboost; optimizing virtual; reality solutions; virtual reality ... See more keywords
Prediction of the shear wave speed of seafloor sediments in the northern South China Sea based on an XGBoost algorithm
Sign Up to like & getrecommendations! Published in 2024 at "Frontiers in Marine Science"
DOI: 10.3389/fmars.2024.1307768
Abstract: Based on data on the shear wave speed and physical properties of the shallow sediment samples collected in the northwest South China Sea, the hyperparameter selection and contribution of the characteristic factors of the machine… read more here.
Keywords: speed seafloor; wave speed; xgboost; seafloor sediments ... See more keywords
A Multi-Feature Estimation Model for Olive Canopy Chlorophyll Combining XGBoost with UAV Imagery
Sign Up to like & getrecommendations! Published in 2025 at "Agronomy"
DOI: 10.3390/agronomy15122718
Abstract: Olive (Olea europaea L.) is an important woody oil crop worldwide, and accurate estimation of leaf chlorophyll content is critical for assessing nutritional status, photosynthetic capacity, and precision crop management. Unmanned aerial vehicle (UAV) remote… read more here.
Keywords: xgboost; chlorophyll; estimation; multi feature ... See more keywords
XGBoost-Enhanced Graph Neural Networks: A New Architecture for Heterogeneous Tabular Data
Sign Up to like & getrecommendations! Published in 2024 at "Applied Sciences"
DOI: 10.3390/app14135826
Abstract: Graph neural networks (GNNs) perform well in text analysis tasks. Their unique structure allows them to capture complex patterns and dependencies in text, making them ideal for processing natural language tasks. At the same time,… read more here.
Keywords: tabular data; architecture; neural networks; xgboost ... See more keywords