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Boosting machine learning algorithms for porosity prediction in sandstone gas reservoirs
Alamgir Pathan ; Md. Ashiqul Islam Shuvo
Journal of Petroleum Exploration and Production Technology, Vol 16, Iss 1, Pp 1-17 (2025)

Bagging and boosting machine learning algorithms for modelling sensory perception from simple chemical variables: Wine mouthfeel as a case study
Sáenz-Navajas, María-Pilar ; Ferreira, Chelo ; Bastian, Susan E.P. ; et al.
In Food Quality and Preference August 2025 129

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Boosting machine learning algorithms for predicting the macroscopic material behavior of continuous fiber reinforced composite.
Tariq, Aiman ; Polat, Ayşe ; Deliktaş, Babür
Journal of Reinforced Plastics & Composites. Feb2026, Vol. 45 Issue 3/4, p781-799. 19p.

Performance evaluation of boosting machine learning algorithms for lithofacies classification in heterogeneous carbonate reservoirs
Al-Mudhafar, Watheq J. ; Abbas, Mohammed A. ; Wood, David A.
In Marine and Petroleum Geology November 2022 145

Prediction of combustion, performance, and emission parameters of ethanol powered spark ignition engine using ensemble Least Squares boosting machine learning algorithms
Godwin, D. Jesu ; Varuvel, Edwin Geo ; Martin, M. Leenus Jesu
In Journal of Cleaner Production 1 October 2023 421

Cognitive evaluation model and high-resolution medical images in sports injury rehabilitation under bone density changes.
Li W ; Gu Z
Publisher: SAGE Publications Country of Publication: United States NLM ID: 101697564 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2472-6311 (Electronic) Linking ISSN: 24726303 NLM ISO Abbreviation: SLAS Technol Subsets: MEDLINE

A machine learning tool for predicting newly diagnosed osteoporosis in primary healthcare in the Stockholm Region.
Wändell P ; Carlsson AC ; Swärd P ; et al.
Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

From images to detection: Machine learning for blood pattern classification.
Li Y ; Shen W
Publisher: Elsevier Science Ireland Country of Publication: Ireland NLM ID: 7902034 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-6283 (Electronic) Linking ISSN: 03790738 NLM ISO Abbreviation: Forensic Sci Int Subsets: MEDLINE

A study on time-series prediction and analysis of acidity of Daqu based on multivariate data fusion and KNN-Attention-LSTM-XGBoost modeling.
Yang H ; Xia H ; Liu S ; et al.
Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 101088505 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1615-7605 (Electronic) Linking ISSN: 16157591 NLM ISO Abbreviation: Bioprocess Biosyst Eng Subsets: MEDLINE

A deception detection model by using integrated LLM with emotion features.
Zhou C ; Zhang Y ; Lin C ; et al.
Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

Fine tuned CatBoost machine learning approach for early detection of cardiovascular disease through predictive modeling.
Hamid M ; Hajjej F ; Alluhaidan AS ; et al.
Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

Molecular-Level Understanding of Membrane Disruption Behaviors of Antimicrobial Peptides by Gradient Boosting Algorithm-Assisted Raman Spectroscopy.
Li C ; Zhou QQ ; Yu T ; et al.
Publisher: American Chemical Society Country of Publication: United States NLM ID: 101230060 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1549-960X (Electronic) Linking ISSN: 15499596 NLM ISO Abbreviation: J Chem Inf Model Subsets: MEDLINE

Mixed effect gradient boosting for high-dimensional longitudinal data.
Olaniran OR ; Olaniran SF ; Allohibi J ; et al.
Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

XGBoost models based on non imaging features for the prediction of mild cognitive impairment in older adults.
Fernández-Blázquez MA ; Ruiz-Sánchez de León JM ; Sanz-Blasco R ; et al.
Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

Enhanced Cardiovascular Disease Prediction Modelling using Machine Learning Techniques: A Focus on CardioVitalnet.
Ejiyi CJ ; Qin Z ; Nneji GU ; et al.
Publisher: Informa Healthcare Country of Publication: England NLM ID: 9431867 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1361-6536 (Electronic) Linking ISSN: 0954898X NLM ISO Abbreviation: Network Subsets: MEDLINE

XGBoost-based machine learning model combining clinical and ultrasound data for personalized prediction of thyroid nodule malignancy.
Li W ; Zhou Y ; Luo Z ; et al.
Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101555782 Publication Model: eCollection Cited Medium: Print ISSN: 1664-2392 (Print) Linking ISSN: 16642392 NLM ISO Abbreviation: Front Endocrinol (Lausanne) Subsets: MEDLINE

Identification of Fusarium sambucinum species complex by surface-enhanced Raman spectroscopy and XGBoost algorithm.
Caramês ETS ; de Moraes-Neto VF ; Bertozzi BG ; et al.
Publisher: Elsevier Applied Science Publishers Country of Publication: England NLM ID: 7702639 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-7072 (Electronic) Linking ISSN: 03088146 NLM ISO Abbreviation: Food Chem Subsets: MEDLINE

Chittagong University of Engineering and Technology Researchers Yield New Data on Machine Learning (Boosting machine learning algorithms for porosity prediction in sandstone gas reservoirs)
Journal of Engineering. January 12, 2026, p64.

Predicting carbapenem-resistant Pseudomonas aeruginosa infection risk using XGBoost model and explainability.
Jiang Y ; Wang HW ; Tian FY ; et al.
Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE