XGBoost: A Scalable Tree Boosting System

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8. Mean–variance portfolio optimization using machine learning-based stock price prediction
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17. Machine Learning Prediction of Mortality and Hospitalization in Heart Failure With Preserved Ejection Fraction
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20. Development and Validation of the Quick COVID-19 Severity Index: A Prognostic Tool for Early Clinical Decompensation
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22. An efficient XGBoost–DNN-based classification model for network intrusion detection system
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23. Tracing Fake-News Footprints
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24. Quantum computing for finance
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25. Enhancing intrusion detection: a hybrid machine and deep learning approach
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30. Rainfall prediction: A comparative analysis of modern machine learning algorithms for time-series forecasting
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31. STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting
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32. Colonic microbiota is associated with inflammation and host epigenomic alterations in inflammatory bowel disease
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33. An optimized XGBoost method for predicting reservoir porosity using petrophysical logs
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34. A machine learning model to predict the risk of 30-day readmissions in patients with heart failure: a retrospective analysis of electronic medical records data
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35. Comparison and development of machine learning tools in the prediction of chronic kidney disease progression
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36. Developing an online hate classifier for multiple social media platforms
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37. Cell Atlas of The Human Fovea and Peripheral Retina
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38. Deep neural networks to predict diabetic retinopathy
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39. Regenerative potential of prostate luminal cells revealed by single-cell analysis
    Wouter R. Karthaus, Matan Hofree, Danielle Choi, Eliot L. Linton, Mesruh Turkekul, Alborz Bejnood, Brett Carver, Anuradha Gopalan, Wassim M. Abida, Vincent Paul Laudone et al. · 2020 · Science
40. A Survey of Privacy Attacks in Machine Learning
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41. SemEval-2019 Task 3: EmoContext Contextual Emotion Detection in Text
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42. Prediction of gestational diabetes based on nationwide electronic health records
    Nitzan Shalom Artzi, Smadar Shilo, Eran Hadar, Hagai Rossman, Shiri Barbash‐Hazan, Avi Ben‐Haroush, Ran D. Balicer, Becca Feldman, Arnon Wiznitzer, Eran Segal · 2020 · Nature Medicine
43. Deep Convolutional Neural Network-Based Early Automated Detection of Diabetic Retinopathy Using Fundus Image
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44. Machine learning applications in microbial ecology, human microbiome studies, and environmental monitoring
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45. Machine Learning Approaches for EV Charging Behavior: A Review
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46. Bioactive Molecule Prediction Using Extreme Gradient Boosting
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47. Automatic hourly solar forecasting using machine learning models
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48. Contextualized Spatial–Temporal Network for Taxi Origin-Destination Demand Prediction
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49. iLearnPlus: a comprehensive and automated machine-learning platform for nucleic acid and protein sequence analysis, prediction and visualization
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50. A 1 km daily soil moisture dataset over China using in situ measurement and machine learning
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51. A systematic literature review for network intrusion detection system (IDS)
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52. Predicting the efficiency of prime editing guide RNAs in human cells
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53. EGBMMDA: Extreme Gradient Boosting Machine for MiRNA-Disease Association prediction
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54. Intrusion Detection of Imbalanced Network Traffic Based on Machine Learning and Deep Learning
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55. Designing a Network Intrusion Detection System Based on Machine Learning for Software Defined Networks
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56. Identification of potent antimicrobial peptides via a machine-learning pipeline that mines the entire space of peptide sequences
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57. Depth-to-bedrock map of China at a spatial resolution of 100 meters
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58. LightGBM: An Effective and Scalable Algorithm for Prediction of Chemical Toxicity–Application to the Tox21 and Mutagenicity Data Sets
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59. Electron and photon reconstruction and identification with the CMS experiment at the CERN LHC
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60. ScanNet: an interpretable geometric deep learning model for structure-based protein binding site prediction
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62. Soil Property and Class Maps of the Conterminous United States at 100‐Meter Spatial Resolution
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63. Maximum Relevance and Minimum Redundancy Feature Selection Methods for a Marketing Machine Learning Platform
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64. Streamflow forecasting using extreme gradient boosting model coupled with Gaussian mixture model
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77. A novel improved model for building energy consumption prediction based on model integration
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