XGBoost: A Scalable Tree Boosting System

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22. Remote sensing retrieval of inland water quality parameters using Sentinel-2 and multiple machine learning algorithms
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23. Gradient boosting decision tree becomes more reliable than logistic regression in predicting probability for diabetes with big data
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25. Fecal microbial load is a major determinant of gut microbiome variation and a confounder for disease associations
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26. Cascading Logistic Regression Onto Gradient Boosted Decision Trees to Predict Stock Market Changes Using Technical Analysis
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27. Estimating ground-level particulate matter concentrations using satellite-based data: a review
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28. Multi-geohazards susceptibility mapping based on machine learning—a case study in Jiuzhaigou, China
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29. Time series extrinsic regression: Predicting numeric values from time series data.
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30. Application of Machine Learning Techniques in Injection Molding Quality Prediction: Implications on Sustainable Manufacturing Industry
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31. A first-principles study on the electrochemical reaction activity of 3d transition metal single-atom catalysts in nitrogen-doped graphene: Trends and hints
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32. Co-limitation towards lower latitudes shapes global forest diversity gradients
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33. Development of machine learning models for the prediction of the compressive strength of calcium-based geopolymers
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34. A Stacking Ensemble Model of Various Machine Learning Models for Daily Runoff Forecasting
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35. Stacking integration algorithm based on CNN-BiLSTM-Attention with XGBoost for short-term electricity load forecasting
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36. Active Learning for Wireless IoT Intrusion Detection
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37. Machine Learning Assisted Synthesis of Metal–Organic Nanocapsules
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38. Statistical Applications to Downscale GRACE-Derived Terrestrial Water Storage Data and to Fill Temporal Gaps
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39. New interpretable deep learning model to monitor real-time PM2.5 concentrations from satellite data
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40. Development and Validation of Machine Learning–Based Race-Specific Models to Predict 10-Year Risk of Heart Failure: A Multicohort Analysis
    Matthew W. Segar, Byron C. Jaeger, Kershaw V. Patel, Vijay Nambi, Chiadi E. Ndumele, Adolfo Correa, Javed Butler, Alvin Chandra, Colby R. Ayers, Shreya G. Rao et al. · 2021 · Circulation
41. Predicting compressive strength of high-performance concrete with high volume ground granulated blast-furnace slag replacement using boosting machine learning algorithms
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42. Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting
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43. Short-Term Load Forecasting Method Based on Feature Preference Strategy and LightGBM-XGboost
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44. Towards the next generation of machine learning models in additive manufacturing: A review of process dependent material evolution
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45. iAMPCN: a deep-learning approach for identifying antimicrobial peptides and their functional activities
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46. Multi-scale solar radiation and photovoltaic power forecasting with machine learning algorithms in urban environment: A state-of-the-art review
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47. A Brief Survey of Machine Learning and Deep Learning Techniques for E-Commerce Research
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48. Optimizing multi-step wind power forecasting: Integrating advanced deep neural networks with stacking-based probabilistic learning
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49. A Machine Learning Approach to Modeling Human Migration
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50. Predicting patient-reported outcomes following hip and knee replacement surgery using supervised machine learning
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51. Linking synthesis and structure descriptors from a large collection of synthetic records of zeolite materials
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52. Machine learning predicts new anti-CRISPR proteins
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53. Machine Learning in Predictive Toxicology: Recent Applications and Future Directions for Classification Models
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54. Machine Learning Based Clinical Decision Support System for Early COVID-19 Mortality Prediction
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55. The trans-omics landscape of COVID-19
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56. Machine learning approach for investigating chloride diffusion coefficient of concrete containing supplementary cementitious materials
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57. Updated review of advances in microRNAs and complex diseases: taxonomy, trends and challenges of computational models
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58. Exploiting redundancy in large materials datasets for efficient machine learning with less data
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59. A Meta-analysis of Passive Immunization Studies Shows that Serum-Neutralizing Antibody Titer Associates with Protection against SHIV Challenge
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61. Highly precise risk prediction model for new‐onset hypertension using artificial intelligence techniques
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64. Automated Detection of Glaucoma With Interpretable Machine Learning Using Clinical Data and Multimodal Retinal Images
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83. Deep Learning: A Bayesian Perspective
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85. An Integrated Ensemble Learning Model for Imbalanced Fault Diagnostics and Prognostics
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86. In-silico Prediction of Synergistic Anti-Cancer Drug Combinations Using Multi-omics Data
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89. A Gradient Boosting Machine Learning Model for Predicting Early Mortality in the Emergency Department Triage: Devising a Nine-Point Triage Score
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99. Performance Analysis of Boosting Classifiers in Recognizing Activities of Daily Living
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100. Application of Improved LightGBM Model in Blood Glucose Prediction
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