XGBoost: A Scalable Tree Boosting System

Chen, Tianqi, Guestrin, Carlos·2016·Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
DOI 10.1145/2939672.2939785

Cited by (1,222)

Items 1,201–1,222 of 1,222

  1. Multi-Feature Hybrid Anomaly Detection in ICS: An Integration of ML, DL, and Statistical Techniques
    Aslam, Muhammad Muzamil, Tufail, Ali, De Silva, Liyanage Chandratilak, Apong, Rosyzie Anna Awg Haji Mohd · 2025 · Proceedings of the 3rd ACM Workshop on Secure and Trustworthy Deep Learning Systems
  2. Fibro predict a machine learning risk score for advanced liver fibrosis in the general population using Israeli electronic health records
    Kalka, Iris N., Hazzan, Rawi, Yacovzada, Nancy-Sarah, Igbaria, Saleh, Segal, Eran, Weinberger, Adina, Neeman, Ziv · 2025 · Scientific Reports
  3. Predicting Quality Measure Completion Among 14 Million Low‐Income Patients Enrolled in Medicaid
    Patel, Sadiq Y., Barnett, Michael L., Basu, Sanjay · 2025 · npj Digital Medicine
  4. Clinical Features and Physiological Signals Fusion Network for Mechanical Circulatory Support Need Prediction in Pediatric Cardiac Intensive Care Unit
    Mendoza, Antonio, Tume, Sebastian, Puri, Kriti, Acosta, Sebastian, Cavallaro, Joseph R. · 2025 · IEEE Journal of Biomedical and Health Informatics
  5. Cost-sensitive PLM-based Approach for Arabic and English Cyberbullying Classification
    Harbaoui, Azza, Benaissa, Azzeddine Rachid, ghezala, Henda Ben · 2023
  6. Developing Deep Learning Continuous Risk Models for Early Adverse Event Prediction in Electronic Health Records: an AKI Case Study
    Tomašev, Nenad, Glorot, Xavier, Rae, Jack W., Zielinski, Michal, Askham, Harry, Saraiva, Andre, Mottram, Anne, Meyer, Clemens, Ravuri, Suman, Protsyuk, Ivan et al. · 2019
  7. Customer Churn Prediction in Superannuation: A Sequential Pattern Mining Approach
    Culbert, Ben, Fu, Bin, Brownlow, James, Chu, Charles, Meng, Qinxue, Xu, Guandong · 2018 · Lecture Notes in Computer Science
  8. Integrating High-Dimensional Technical Indicators into Machine Learning Models for Predicting Cryptocurrency Price Movements and Trading Performance: Evidence from Bitcoin, Ethereum, and Ripple
    Hasanli, Rza, Dursun, Mahir · 2025 · FinTech
  9. Insider Threat Identification From Accessed Website Content Optimized by Modified Metaheuristic
    Jovanovic, Luka, Kaljevic, Jelena, Zivkovic, Miodrag, Bacanin, Nebojsa, Antonijevic, Milos, Cajic, Miroslav · 2024 · 2024 International Conference on Circuit, Systems and Communication (ICCSC)
  10. Utilizing protein structure graph embeddings to predict the pathogenicity of missense variants
    Danner, Martin, Begemann, Matthias, Elbracht, Miriam, Kurth, Ingo, Krause, Jeremias · 2025 · NAR Genomics and Bioinformatics
  11. Integrating Artificial Intelligence and Machine Learning to Forecast Air Pollution Impacts on Climate Variability and Public Health
    Shafaghat, Ali · 2025
  12. Non-linear association between air pollutants and secondary sensitive skin in acne patients
    Chen, Xiangfeng, Wen, Jing, Wu, Wenjuan, Tu, Ying, Peng, Qiuzhi, Tao, Sifan, Yang, Haoran, He, Li · 2024 · Journal of Cosmetic Dermatology
  13. Brain Morphometry Differences Across Sexes Revealed Through Explainable Artificial Intelligence: A Human Connectome Project Young Adult Study
    Camastra, Chiara, Pelagi, Assunta, Quattrone, Andrea, Sarica, Alessia · 2025 · Lecture Notes in Computer Science
  14. UniMTS: Unified Pre-training for Motion Time Series
    Zhang, Xiyuan, Teng, Diyan, Chowdhury, Ranak Roy, Li, Shuheng, Hong, Dezhi, Gupta, Rajesh K., Shang, Jingbo · 2024 · arXiv
  15. A Deep Model Framework for Morphological Trait Imputation Across Taxonomic Groups
    Wang, Yuang, Shi, Xinying, Bai, Yu, Zhu, Hongjie, Yin, Xuemei, Song, Pengfei, Ergu, Daji, Zhang, Taxing, Pan, Shengkai, Gu, Zhongru et al. · 2026 · Integrative Zoology
  16. Empirical Asset Pricing via Machine Learning: The Role of Research Design Choices
    Lalwani, Vaibhav, Meshram, Vedprakash, Jindal, Varun · 2026 · European Financial Management
  17. Interpretable multimodal fusion for skin lesion classification using dermoscopic images and patient metadata
    Sonuç, Emrullah, Saihood, Qusay, Yargı Baydilli, Yusuf, Özcan, Ender · 2026 · Frontiers in Medicine
  18. AI-Driven Predictions of Readmission and Mortality for Improved Discharge Decisions in Critical Care: A Retrospective Study
    Heo, Yeonjeong, Kim, Minkyu, Han, Seon-Sook, Kim, Tae-Hoon, Heo, Jeongwon, Kim, Dohyun, Kim, Woo Jin, Lee, Seung-Joon, Kwon, Oh Beom, Kim, Yoon et al. · 2026 · Diagnostics
  19. StoryScope: Investigating idiosyncrasies in AI fiction
    Russell, Jenna, Rajendhran, Rishanth, Pham, Chau Minh, Iyyer, Mohit, Wieting, John · 2026 · arXiv
  20. Machine learning-driven risk prediction for post-hospitalization diabetes case management: Integrating clinical and social determinants of health
    Lee, Seung-Yup, Saleem, Mohammad, Land, Andrew M., DeLaney, Erin W., Garretson, Alison R., Patel, Mahee, Hall, Allyson G., Westrick, Salisa, Ovalle, Fernando, Cherrington, Andrea L. et al. · 2026 · International Journal of Medical Informatics
  21. Global vs. segmental acoustic features for dysarthria assessment in motor neuron diseases
    Attia, Mohamed, Simmatis, Leif, Sejdic, Ervin, Yunusova, Yana · 2025 · Computers in Biology and Medicine
  22. Bus Arrival Time Prediction Using Machine Learning Approaches
    Pov, Phannet · 2025 · Techno-Science Research Journal