Works matching DE "BOOSTING algorithms"
Results: 1853
Differentiating between renal medullary and clear cell renal carcinoma with a machine learning radiomics approach.
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- Oncologist, 2025, v. 30, n. 2, p. 1, doi. 10.1093/oncolo/oyae337
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A machine learning approach to predict mortality and neonatal persistent pulmonary hypertension in newborns with congenital diaphragmatic hernia. A retrospective observational cohort study.
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- European Journal of Pediatrics, 2025, v. 184, n. 4, p. 1, doi. 10.1007/s00431-025-06073-0
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An Optimal Prediction of Leaf Disease Based on Hybrid Deep Learnings and Metaheuristic Technique.
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- Traitement du Signal, 2025, v. 42, n. 1, p. 363, doi. 10.18280/ts.420131
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Source identification of mine water inrush based on GBDT-RS-SHAP.
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- Environmental Earth Sciences, 2025, v. 84, n. 4, p. 1, doi. 10.1007/s12665-025-12107-5
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Computer-aided diagnosis for China-Japan Friendship Hospital classification of necrotic femurs using statistical shape and appearance model based on CT scans.
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- Medical & Biological Engineering & Computing, 2025, v. 63, n. 3, p. 867, doi. 10.1007/s11517-024-03239-0
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A novel machine learning-based cancer-specific cardiovascular disease risk score among patients with breast, colorectal, or lung cancer.
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- JNCI Cancer Spectrum, 2025, v. 9, n. 1, p. 1, doi. 10.1093/jncics/pkaf016
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Lithology identification of uranium drilling based on SMOTE algorithm logic-CNN.
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- Journal of Biotech Research, 2024, v. 18, p. 53
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Integrating dynamic factors for predicting future landslide susceptibility.
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- Environmental Earth Sciences, 2025, v. 84, n. 3, p. 1, doi. 10.1007/s12665-025-12094-7
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Investigating surgeon performance metrics as key predictors of robotic herniorrhaphy outcomes using iterative machine learning models: retrospective study.
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- BJS Open, 2025, v. 9, n. 1, p. 1, doi. 10.1093/bjsopen/zrae160
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Machine Learning Predictions of Subjective Function, Symptoms, and Psychological Readiness at 12 Months After ACL Reconstruction Based on Physical Performance in the Early Rehabilitation Stage: Retrospective Cohort Study.
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- Orthopaedic Journal of Sports Medicine, 2025, v. 13, n. 2, p. 1, doi. 10.1177/23259671251319512
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A novel approach to predict the traffic accident assistance based on deep learning.
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- Neural Computing & Applications, 2025, v. 37, n. 7, p. 5343, doi. 10.1007/s00521-024-10939-z
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Explainable Artificial Intelligence Models for Predicting Depression Based on Polysomnographic Phenotypes.
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- Bioengineering (Basel), 2025, v. 12, n. 2, p. 186, doi. 10.3390/bioengineering12020186
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Improved Confidence-Interval Estimations Using Uncertainty Measure and Weighted Feature Decisions for Cuff-Less Blood-Pressure Measurements.
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- Bioengineering (Basel), 2025, v. 12, n. 2, p. 131, doi. 10.3390/bioengineering12020131
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Leveraging Azure Automated Machine Learning and CatBoost Gradient Boosting Algorithm for Service Quality Prediction in Hospitality.
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- Computers (2073-431X), 2025, v. 14, n. 2, p. 32, doi. 10.3390/computers14020032
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An ensemble machine learning approach for forecasting credit risk of agricultural SMEs' investments in agriculture 4.0 through supply chain finance.
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- Annals of Operations Research, 2025, v. 345, n. 2, p. 779, doi. 10.1007/s10479-021-04366-9
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Special Issue: Advanced Technologies in Power Quality and Power Disturbance Data Application.
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- Symmetry (20738994), 2025, v. 17, n. 2, p. 264, doi. 10.3390/sym17020264
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Improving National Forest Mapping in Romania Using Machine Learning and Sentinel-2 Multispectral Imagery.
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- Remote Sensing, 2025, v. 17, n. 4, p. 715, doi. 10.3390/rs17040715
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Rapid Prediction and Inversion of Pond Aquaculture Water Quality Based on Hyperspectral Imaging by Unmanned Aerial Vehicles.
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- Water (20734441), 2025, v. 17, n. 4, p. 517, doi. 10.3390/w17040517
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Towards Automated Lithology Classification in NATM Tunnel: A Data-Driven Solution for Multi-dimensional Imbalanced Data.
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- Rock Mechanics & Rock Engineering, 2025, v. 58, n. 2, p. 2349, doi. 10.1007/s00603-024-04287-6
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Research on Coal and Gas Outburst Prediction and Sensitivity Analysis Based on an Interpretable Ali Baba and the Forty Thieves–Transformer–Support Vector Machine Model.
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- Fire (2571-6255), 2025, v. 8, n. 2, p. 37, doi. 10.3390/fire8020037
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Evaluation of a machine learning classifier for metamodels.
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- Software & Systems Modeling, 2021, v. 20, n. 6, p. 1797, doi. 10.1007/s10270-021-00913-x
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Boosting H<sup>+</sup> Storage in Aqueous Zinc Ion Batteries via Integrating Redox‐Active Sites into Hydrogen‐Bonded Organic Frameworks with Strong π‐π Stacking.
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- Angewandte Chemie, 2024, v. 136, n. 3, p. 1, doi. 10.1002/ange.202314411
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Ligand Modulation of Active Sites to Promote Cobalt‐Doped 1T‐MoS<sub>2</sub> Electrocatalytic Hydrogen Evolution in Alkaline Media.
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- Angewandte Chemie, 2023, v. 135, n. 48, p. 1, doi. 10.1002/ange.202313845
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Aspect-oriented extraction and sentiment analysis using optimized hybrid deep learning approaches.
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- Multimedia Tools & Applications, 2024, v. 83, n. 41, p. 88613, doi. 10.1007/s11042-024-18964-9
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An innovative word embedded and optimization based hybrid artificial intelligence approach for aspect-based sentiment analysis of app and cellphone reviews.
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- Multimedia Tools & Applications, 2024, v. 83, n. 33, p. 79303, doi. 10.1007/s11042-024-18510-7
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An automatic ensemble machine learning for wheat yield prediction in Africa.
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- Multimedia Tools & Applications, 2024, v. 83, n. 25, p. 66433, doi. 10.1007/s11042-024-18142-x
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An interpretable evolutionary extreme gradient boosting algorithm for rock slope stability assessment.
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- Multimedia Tools & Applications, 2024, v. 83, n. 16, p. 46851, doi. 10.1007/s11042-023-17445-9
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Secure visual communication with advanced cryptographic and ımage processing techniques.
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- Multimedia Tools & Applications, 2024, v. 83, n. 15, p. 45367, doi. 10.1007/s11042-023-17224-6
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An overview of ensemble and feature learning in few-shot image classification using siamese networks.
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- Multimedia Tools & Applications, 2024, v. 83, n. 7, p. 19929, doi. 10.1007/s11042-023-15607-3
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Abnormal heart sound detection from unsegmented phonocardiogram using deep features and shallow classifiers.
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- Multimedia Tools & Applications, 2023, v. 82, n. 17, p. 26859, doi. 10.1007/s11042-022-14315-8
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Dementia classification using MR imaging and clinical data with voting based machine learning models.
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- Multimedia Tools & Applications, 2022, v. 81, n. 18, p. 25971, doi. 10.1007/s11042-022-12754-x
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Safety helmet wearing status detection based on improved boosted random ferns.
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- Multimedia Tools & Applications, 2022, v. 81, n. 12, p. 16783, doi. 10.1007/s11042-022-12014-y
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Adaptive UNet-based Lung Segmentation and Ensemble Learning with CNN-based Deep Features for Automated COVID-19 Diagnosis.
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- Multimedia Tools & Applications, 2022, v. 81, n. 4, p. 5407, doi. 10.1007/s11042-021-11787-y
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Early prediction of mortality at sepsis diagnosis time in critically ill patients by using interpretable machine learning.
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- Journal of Clinical Monitoring & Computing, 2024, v. 38, n. 2, p. 271, doi. 10.1007/s10877-023-01108-z
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A Practical Method for Floor Water Inrush Prediction Using a Hybrid Artificial Intelligence Model and GIS.
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- Mine Water & the Environment, 2023, v. 42, n. 2, p. 220, doi. 10.1007/s10230-023-00932-8
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Stiffness Moduli Modelling and Prediction in Four-Point Bending of Asphalt Mixtures: A Machine Learning-Based Framework.
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- CivilEng, 2023, v. 4, n. 4, p. 1083, doi. 10.3390/civileng4040059
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A novel algorithm for open switch fault detection and fault tolerant control of interleaved DC‐DC boost converters.
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- IET Power Electronics (Wiley-Blackwell), 2024, v. 17, n. 6, p. 721, doi. 10.1049/pel2.12687
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High step‐up DC–DC converter using coupled inductor voltage multiplier cell and differential connection method.
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- IET Power Electronics (Wiley-Blackwell), 2023, v. 16, n. 4, p. 542, doi. 10.1049/pel2.12406
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Area-efficient error amplifier with current-boosting module for fast-transient buck converters.
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- IET Power Electronics (Wiley-Blackwell), 2016, v. 9, n. 10, p. 2147, doi. 10.1049/iet-pel.2015.0322
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Improved small signal model for voltage-boosting converter with hybrid energy pumping.
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- IET Power Electronics (Wiley-Blackwell), 2015, v. 8, n. 4, p. 546, doi. 10.1049/iet-pel.2013.0793
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改进的U-Net 网络用于视网膜血管分割.
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- Journal of Frontiers of Computer Science & Technology, 2023, v. 17, n. 3, p. 657, doi. 10.3778/j.issn.1673-9418.2107060
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一种新型电流镜运算跨导放大器的设计.
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- Journal of Guangxi Normal University - Natural Science Edition, 2023, v. 41, n. 2, p. 67, doi. 10.16088/j.issn.1001-6600.2022040807
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Predicting solid state material platforms for quantum technologies.
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- NPJ Computational Materials, 2022, v. 8, n. 1, p. 1, doi. 10.1038/s41524-022-00888-3
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CLASSIFICATION OF USER COMMENTS IN A MOBILE APPLICATION USING DATA AUGMENTATION WITH MACHINE LEARNING TECHNIQUES.
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- SDU Journal of Engineering Sciences & Design / Mühendislik Bilimleri ve Tasarım Dergisi, 2021, v. 9, n. 4, p. 1398, doi. 10.21923/jesd.906211
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Short unsegmented PCG classification based on ensemble classifier.
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- Turkish Journal of Electrical Engineering & Computer Sciences, 2020, v. 28, n. 2, p. 875, doi. 10.3906/elk-1905-165
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Teknik Weighting untuk Mengatasi Ketidakseimbangan Kelas Pada Prediksi Churn Menggunakan XGBoost, LightGBM, dan CatBoost.
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- Techno.com, 2023, v. 22, n. 1, p. 97, doi. 10.33633/tc.v22i1.7191
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APPLICATION OF EXPLAINABLE ARTIFICIAL INTELLIGENCE IN INTRUSION DETECTION SYSTEM CLASSIFICATION USING BOOSTING ALGORITHMS.
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- Mugla Journal of Science & Technology, 2024, v. 10, n. 1, p. 1, doi. 10.22531/muglajsci.1343051
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基于 LightGBM 算法的光伏并网系统孤岛 检测及其集成的可解释研究.
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- Electric Power Automation Equipment / Dianli Zidonghua Shebei, 2023, v. 43, n. 7, p. 80, doi. 10.16081/j.epae.202208006
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基于累积贡献率和可解释人工智能的静态电压稳定裕度估计特征量筛选方法.
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- Electric Power Automation Equipment / Dianli Zidonghua Shebei, 2023, v. 43, n. 4, p. 168, doi. 10.16081/j.epae.202211011
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Global marine phytoplankton dynamics analysis with machine learning and reanalyzed remote sensing.
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- PeerJ, 2024, p. 1, doi. 10.7717/peerj.17361
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