A Two‐Year Evaluation of Biostimulant Effects on Yield and Quality Parameters of Tomato Landrace ‘Pizzutello Delle Valli Ericine’ Cultivated Without Irrigation by Nicolò Iacuzzi, Teresa Tuttolomondo, Davide Farruggia, Noemi Tortorici, Federica Alaimo, Diana De Santis, Francesco Rossini, Giuseppe Di Miceli

“…ABSTRACT The use of biostimulants in agriculture provides a sustainable and efficient technology to improve resource‐use efficiency. Biostimulants may boost vegetative growth, enhancing plant tolerance to biotic and abiotic stress. …”
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Predicting lncRNA and disease associations with graph autoencoder and noise robust gradient boosting by Lili Tang, Liangliang Huang, Yi Yuan

“…Subsequently, the performance of LDA-GARB against LDA-LNSUBRW, GAMCLDA, LDA-VGHB, LDAGM, and GANLDA on imbalanced data was evaluated. We also performed parameter sensitivity analysis and ablation experiments. …”
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Prediction of Sonic Log Values Using a Gradient Boosting Algorithm in the 'AB' Field by Rasif Nahari, Utama Widya, Ardhya Garini Sherly, Fitri Indriani Rista, Pratama Novian Putra Dhea

“…Expanding exploration activities into new fields has significantly boosted oil production. Well logging is a key method in petroleum exploration, used to evaluate hydrocarbon zones by analyzing parameters such as gamma ray, porosity, density, resistivity, and wave propagation velocity. …”
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Prediction of Rockburst Intensity Grade in Deep Underground Excavation Using Adaptive Boosting Classifier by Mahmood Ahmad, Herda Yati Katman, Ramez A. Al-Mansob, Feezan Ahmad, Muhammad Safdar, Arnold C. Alguno

“…The output of the AdaBoost model is evaluated using statistical parameters including accuracy and Cohen's kappa index. …”
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Boosting lily bulblets production: a study on the effects of 6-benzylaminopurine and silver nanoparticles by Oscar Tomanguilla-Llanos, Jegnes Benjamín Meléndez-Mori, José Jesús Tejada-Alvarado, Yoiner K. Lapiz-Culqui, Eyner Huaman-Huaman, Marileydi Zuta-Puscan, Reyna Stefani Mego-Pérez, Manuel Oliva-Cruz

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Boosting GWAS using biological networks: A study on susceptibility to familial breast cancer. by Héctor Climente-González, Christine Lonjou, Fabienne Lesueur, GENESIS study group, Dominique Stoppa-Lyonnet, Nadine Andrieu, Chloé-Agathe Azencott

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Evaluation of a Machine Learning Model Based on Laboratory Parameters for the Prediction of Influenza A and B in Chongqing, China: Multicenter Model Development and Validation Stud... by Weiwei Hu, Yulong Liu, Jian Dong, Xuelian Peng, Chunyan Yang, Honglin Wang, Yong Chen, Shan Shi, Jin Li

“…ResultsIn the internal testing cohort, 7 models (K-nearest neighbors, naïve Bayes, decision tree, random forest, extreme gradient boosting, gradient-boosting decision tree, and CatBoost) were evaluated. …”
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An Efficient Computational Risk Prediction Model of Heart Diseases Based on Dual-Stage Stacked Machine Learning Approaches by Subhash Mondal, Ranjan Maity, Yachang Omo, Soumadip Ghosh, Amitava Nag

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A redundant weight removal method inspired by specific immunotherapy for boosting transfer learning security by Qing Huang, Hongli Deng, Junxiang Wang, Tao Yang, Bochuan Zheng

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Instantaneous Metabolic Energetics: Data-Driven Modeling Using Function-Based Surrogates and Gradient Boosting by Christopher Buglino, William Z. Peng, Stacy Ashlyn, Hyunjong Song, Howard J. Hillstrom, Joo H. Kim

“…We propose a novel two-stage predictive model using surrogate learners in the first stage for physiological dynamics and gradient-boosted regression trees in the second stage to learn a generalized representation of instantaneous, whole-body MEE. …”
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Application of machine learning and neural network models based on experimental evaluation of dissimilar resistance spot-welded joints between grade 2 titanium alloy and AISI 304 s... by Marwan T. Mezher, Alejandro Pereira, Rusul Ahmed Shakir, Tomasz Trzepieciński

“…Models from gradient boosting, CatBoost, and random forest machine learning (ML) algorithms were used to guarantee an accurate analysis, along with the artificial neural network regressions. …”
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Cardiovascular risks in Asian HIV-infected patients receiving boosted-protease inhibitor-based antiretroviral treatment by Sakaewan Ounjaijean, Kanokwan Kulprachakarn, Linda Aurpibul, Quanhathai Kaewpoowat, Kongsak Boonyapranai, Romanee Chaiwarith, Supapong Arwon, Khuanchai Supparatpinyo, Kittipan Rerkasem

“…Parameters determined cardiovascular risks, inflammation, endothelial function, and bone metabolic function were evaluated. …”
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Flood-prone area mapping using a synergistic approach with swarm intelligence and gradient boosting algorithms by Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Sani I. Abba, Jamil Hussain, Soo-Mi Choi

“…The evaluation results of the flood susceptibility maps showed an accuracy of 84.2% for CatBoost, 85% for CatBoost-WOA, and 87.2% for CatBoost-ZOA. …”
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Radiotherapy boost to the primary tumour in locally advanced rectal cancer: Systematic review of practices and meta-analysis by Julien Pierrard, Lorraine Donnay, Alix Collard, Geneviève Van Ooteghem

“…A mixed-effects meta-analysis model evaluated the impact of selected parameters on CR and local recurrence rate (LRR). …”
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Dual role of Eisenia fetida and its excreta in boosting tomato biomass and defense against Botrytis cinerea by Maryan Chelkha, Rubén Blanco-Pérez, Jorge Dueñas-Hernani, Ignacio Vicente-Díez, Victoria Pastor, Raquel Campos-Herrera

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Traffic Incident Clearance Time Prediction and Influencing Factor Analysis Using Extreme Gradient Boosting Model by Jinjun Tang, Lanlan Zheng, Chunyang Han, Fang Liu, Jianming Cai

“…Bayesian optimization is used to optimize the parameters of XGBoost, and the MAPE is considered as the predictive indicator to evaluate the prediction performance. …”
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A Systematic Review of SBRT Boost for Cervical Cancer Patients Who Cannot Benefit from Brachytherapy by Iozsef Gazsi, Loredana G. Marcu

“…This systematic review evaluates the role of SBRT as a boost for patients who are ineligible for brachytherapy. …”
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Compression Index Regression of Fine-Grained Soils with Machine Learning Algorithms by Mintae Kim, Muharrem A. Senturk, Liang Li

“…Machine learning algorithms, specifically the gradient boosting regressor and random forest regressor, demonstrate substantial potential in predicting the <i>C_c</i> value for fine-grained soils based on multiple soil parameters. …”
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An enhanced time efficient technique for image watermarking using ant colony optimization and light gradient boosting algorithm by Vipul Sharma, Roohie Naaz Mir

“…Finally Light Gradient Boosting algorithm (LGBA) is applied to predict the optimum embedding parameters of the set of new images which are to be watermarked. …”
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Boosting Barlow Twins Reduced Order Modeling for Machine Learning‐Based Surrogate Models in Multiphase Flow Problems by T. Kadeethum, V. L. S. Silva, P. Salinas, C. C. Pain, H. Yoon

“…BBT‐ROM builds upon Barlow Twins reduced order modeling that leverages self‐supervised learning to effectively handle linear and nonlinear manifolds by constructing well‐structured latent spaces of input parameters and output quantities. To address the challenge of high contrast data in multiphase flow problems due to injection wells and faults, we employ a boosting algorithm within BBT‐ROM. …”
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