Works matching DE "BOOSTING algorithms"
Results: 1809
Causal machine learning models for predicting low birth weight in midwife-led continuity care intervention in North Shoa Zone, Ethiopia.
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- BMC Medical Informatics & Decision Making, 2025, v. 25, n. 1, p. 1, doi. 10.1186/s12911-025-02917-9
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- Article
EpiForecaster: a novel deep learning ensemble optimization approach to combining forecasts for emerging epidemic outbreaks.
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- Stochastic Environmental Research & Risk Assessment, 2025, v. 39, n. 2, p. 675, doi. 10.1007/s00477-024-02889-8
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- Article
Machine learning for predicting severe dengue in Puerto Rico.
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- Infectious Diseases of Poverty, 2025, v. 14, n. 1, p. 1, doi. 10.1186/s40249-025-01273-0
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- Article
Boosting Learning Algorithms for Chronic Diseases Prediction: A Review.
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- Iraqi Journal for Computers & Informatics Ijci, 2024, v. 50, n. 2, p. 22, doi. 10.25195/ijci.v50i2.506
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- Article
An AI-based approach to predict delivery outcome based on measurable factors of pregnant mothers.
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- PLoS Digital Health, 2025, v. 4, n. 2, p. 1, doi. 10.1371/journal.pdig.0000543
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- Article
Integrated bio-search approaches with multi-objective algorithms for optimization and classification problem.
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- Telkomnika, 2020, v. 18, n. 5, p. 2421, doi. 10.12928/TELKOMNIKA.v18i5.15141
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Predicting the hub interactome of COVID-19 and oral squamous cell carcinoma: uncovering ALDH-mediated Wnt/β-catenin pathway activation via salivary inflammatory proteins.
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- Scientific Reports, 2025, v. 15, n. 1, p. 1, doi. 10.1038/s41598-025-88819-2
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- Article
Comparison of Machine Learning-Based Breakdown Pressure Prediction and Initiation Criteria in Hydraulic Fracturing Testing.
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- International Journal of Applied Mechanics, 2025, v. 17, n. 1, p. 1, doi. 10.1142/S1758825124501229
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Putting machine learning to use in natural resource management--improving model performance.
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- Ecology & Society, 2020, v. 25, n. 4, p. 1, doi. 10.5751/ES-12124-250445
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- Article
A novel adaptive boosting algorithm with distance-based weighted least square support vector machine and filter factor for carbon fiber reinforced polymer multi-damage classification.
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- Structural Health Monitoring, 2023, v. 22, n. 2, p. 1273, doi. 10.1177/14759217221098173
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- Article
Combination of damage feature decisions with adaptive boosting for improving the detection performance of a structural health monitoring framework: Validation on an operating wind turbine.
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- Structural Health Monitoring, 2021, v. 20, n. 2, p. 637, doi. 10.1177/1475921720909379
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- Article
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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- Article
Semi-supervised learning for question classification in CQA.
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- Natural Computing, 2017, v. 16, n. 4, p. 567, doi. 10.1007/s11047-016-9554-5
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- Article
An optimized AdaBoost algorithm with atherosclerosis diagnostic applications: adaptive weight-adjustable boosting.
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- Journal of Supercomputing, 2024, v. 80, n. 9, p. 13187, doi. 10.1007/s11227-024-05951-y
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- Article
An improved sentiment classification model based on data quality and word embeddings.
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- Journal of Supercomputing, 2023, v. 79, n. 11, p. 11871, doi. 10.1007/s11227-023-05099-1
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- Article
SA-ASBA: a hybrid model for aspect-based sentiment analysis using synthetic attention in pre-trained language BERT model with extreme gradient boosting.
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- Journal of Supercomputing, 2023, v. 79, n. 5, p. 5516, doi. 10.1007/s11227-022-04881-x
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- Article
A power line loss analysis method based on boost clustering.
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- Journal of Supercomputing, 2023, v. 79, n. 3, p. 3210, doi. 10.1007/s11227-022-04777-w
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- Article
Intelligent quotient estimation from MRI images using optimal light gradient boosting machine.
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- Journal of Supercomputing, 2023, v. 79, n. 3, p. 2431, doi. 10.1007/s11227-022-04711-0
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- Article
Mashing load balancing algorithm to boost hybrid kernels in molecular dynamics simulations.
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- Journal of Supercomputing, 2023, v. 79, n. 1, p. 1065, doi. 10.1007/s11227-022-04671-5
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- Article
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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- Article
Fault diagnosis of belt conveyor idlers based on gradient boosting decision tree.
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- International Journal of Advanced Manufacturing Technology, 2024, v. 132, n. 7/8, p. 3479, doi. 10.1007/s00170-024-13549-0
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- Article
Using machine learning and deep learning algorithms for downtime minimization in manufacturing systems: an early failure detection diagnostic service.
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- International Journal of Advanced Manufacturing Technology, 2023, v. 128, n. 9/10, p. 3857, doi. 10.1007/s00170-023-12020-w
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- Article
Directed Gaussian process metamodeling with improved firefly algorithm (iFA) for composite manufacturing uncertainty propagation analysis.
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- International Journal of Advanced Manufacturing Technology, 2023, v. 126, n. 1/2, p. 49, doi. 10.1007/s00170-023-10994-1
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- Article
Glass-box modeling for quality assessment of resistance spot welding joints in industrial applications.
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- International Journal of Advanced Manufacturing Technology, 2022, v. 123, n. 11/12, p. 4077, doi. 10.1007/s00170-022-10444-4
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- Article
In-process belt-image-based material removal rate monitoring for abrasive belt grinding using CatBoost algorithm.
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- International Journal of Advanced Manufacturing Technology, 2022, v. 123, n. 5/6, p. 2575, doi. 10.1007/s00170-022-10341-w
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- Article
Improvement of the regression model for spindle thermal elongation by a Boosting-based outliers detection approach.
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- International Journal of Advanced Manufacturing Technology, 2018, v. 99, n. 5-8, p. 1389, doi. 10.1007/s00170-018-2559-8
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- Article
Modeling and recognition of steel-plate surface defects based on a new backward boosting algorithm.
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- International Journal of Advanced Manufacturing Technology, 2018, v. 94, n. 9-12, p. 4317, doi. 10.1007/s00170-017-1113-4
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- Article
Predicting the crystalline phase generation effectively in monosized granular matter using machine learning.
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- Granular Matter, 2022, v. 24, n. 1, p. 1, doi. 10.1007/s10035-021-01176-5
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- Article
Power loss model and efficiency analysis of grid-connected seven-switch boost-type photovoltaic current source inverter using two power switches configurations.
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- Electrical Engineering, 2023, v. 105, n. 5, p. 2607, doi. 10.1007/s00202-023-01840-4
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- Article
Method for Improving Gradient Boosting Learning Efficiency Based on Modified Loss Functions.
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- Automation & Remote Control, 2022, v. 83, n. 12, p. 1935, doi. 10.1134/S00051179220120074
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- Article
On a Robust Gradient Boosting Scheme Based on Aggregation Functions Insensitive to Outliers.
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- Automation & Remote Control, 2022, v. 83, n. 10, p. 1619, doi. 10.1134/S00051179220100149
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- Article
GUEST: an R package for handling estimation of graphical structure and multiclassification for error-prone gene expression data.
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- Bioinformatics, 2024, v. 40, n. 12, p. 1, doi. 10.1093/bioinformatics/btae731
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- Article
CENTRE: a gradient boosting algorithm for Cell-type-specific ENhancer-Target pREdiction.
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- Bioinformatics, 2023, v. 39, n. 11, p. 1, doi. 10.1093/bioinformatics/btad687
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- Article
quickBAM: a parallelized BAM file access API for high-throughput sequence analysis informatics.
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- Bioinformatics, 2023, v. 39, n. 8, p. 1, doi. 10.1093/bioinformatics/btad463
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- Article
MEvA-X: a hybrid multiobjective evolutionary tool using an XGBoost classifier for biomarkers discovery on biomedical datasets.
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- Bioinformatics, 2023, v. 39, n. 7, p. 1, doi. 10.1093/bioinformatics/btad384
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- Article
GAN-based data augmentation for transcriptomics: survey and comparative assessment.
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- Bioinformatics, 2023, v. 39, p. i111, doi. 10.1093/bioinformatics/btad239
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- Article
NetProphet 3: a machine learning framework for transcription factor network mapping and multi-omics integration.
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- Bioinformatics, 2023, v. 39, n. 2, p. 1, doi. 10.1093/bioinformatics/btad038
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- Article
Efficient gradient boosting for prognostic biomarker discovery.
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- Bioinformatics, 2022, v. 38, n. 6, p. 1631, doi. 10.1093/bioinformatics/btab869
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- Article
CRISPR/Cas9 cleavage efficiency regression through boosting algorithms and Markov sequence profiling.
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- Bioinformatics, 2018, v. 34, n. 18, p. 3069, doi. 10.1093/bioinformatics/bty298
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- Article
PaRSnIP: sequence-based protein solubility prediction using gradient boosting machine.
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- Bioinformatics, 2018, v. 34, n. 7, p. 1092, doi. 10.1093/bioinformatics/btx662
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- Article
Design of High-Performance Intelligent WSN based-IoT using Time Synchronized Channel Hopping and Spatial Correlation Model.
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- Fusion: Practice & Applications, 2023, v. 13, n. 1, p. 49, doi. 10.54216/FPA.130104
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- Article
Machine Learning Fusion and Data Analytics Models for Demand Forecasting in the Automotive Industry: A Comparative Study.
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- Fusion: Practice & Applications, 2023, v. 12, n. 1, p. 24, doi. 10.54216/FPA.120102
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- Article
Active Learning for Stacking and AdaBoost-Related Models.
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- Stats, 2024, v. 7, n. 1, p. 110, doi. 10.3390/stats7010008
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- Article
Designing and Prototyping of Lithium-Ion Charging System Using Multi-Step Constant Current Method.
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- World Electric Vehicle Journal, 2022, v. 13, n. 10, p. N.PAG, doi. 10.3390/wevj13100178
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- Article
Gradient boosting regression for faster Partitioned Iterated Function Systems‐based head pose estimation.
- Published in:
- IET Biometrics (Wiley-Blackwell), 2022, v. 11, n. 4, p. 279, doi. 10.1049/bme2.12061
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- Article
Anomaly detection in network traffic with ELSC learning algorithm.
- Published in:
- Electronics Letters (Wiley-Blackwell), 2024, v. 60, n. 14, p. 1, doi. 10.1049/ell2.13235
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- Article
Enhanced Multi-Strategy Slime Mould Algorithm for Global Optimization Problems.
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- Biomimetics (2313-7673), 2024, v. 9, n. 8, p. 500, doi. 10.3390/biomimetics9080500
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- Article
Archimedes Optimization Algorithm-Based Feature Selection with Hybrid Deep-Learning-Based Churn Prediction in Telecom Industries.
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- Biomimetics (2313-7673), 2024, v. 9, n. 1, p. 1, doi. 10.3390/biomimetics9010001
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- Article
Application of Machine Learning to Predict COVID-19 Spread via an Optimized BPSO Model.
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- Biomimetics (2313-7673), 2023, v. 8, n. 6, p. 457, doi. 10.3390/biomimetics8060457
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- Article
ENSEMBLE MACHINE LEARNING APPROACH FOR IOT INTRUSION DETECTION SYSTEMS.
- Published in:
- Iraqi Journal for Computers & Informatics Ijci, 2023, v. 49, n. 2, p. 93, doi. 10.25195/ijci.v49i2.458
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- Publication type:
- Article