Modeling Tick Populations: An Ecological Test Case for Gradient Boosted Trees by Manley, William, Tran, Tam, Prusinski, Melissa, Brisson, Dustin

Subjects: “…Ticks; Lyme Disease; Ecology; Statistical Ecology; Species Distribution Modeling; Machine Learning…”
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Data-driven insights into pre-slaughter mortality: Machine learning for predicting high dead on arrival in meat-type ducks by Chalita Jainonthee, Phutsadee Sanwisate, Panneepa Sivapirunthep, Chanporn Chaosap, Raktham Mektrirat, Sudarat Chadsuthi, Veerasak Punyapornwithaya

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A Novel Rubber Composite Sleeper-Deformation-Prediction Model Based on Response Surface Method (RSM) and Machine Learning (ML) Techniques by Abdulmumin Ahmed Shuaibu, Zhiping Zeng, Ibrahim Hayatu Hassan, Wang Weidong, Hassan Suleiman Otuoze, Suleiman Abdulhakeem, Bushrah Baba Abdulrahman

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Dynamic conditioning of porcine kidney grafts with extracellular vesicles derived from urine progenitor cells: A proof‐of‐concept study by Perrine Burdeyron, Sébastien Giraud, Maryne Lepoittevin, Nina Jordan, Sonia Brishoual, Maïté Jacquard, Virginie Ameteau, Nadège Boildieu, Estelle Lemarie, Jonathan Daniel, Frédéric Martins, Nicolas Mélis, Marine Coué, Raphaël Thuillier, Henri Leuvenink, Luc Pellerin, Thierry Hauet, Clara Steichen

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Very large scale integration implementation of seizure detection system with on‐chip support vector machine classifier by Shalini Shanmugam, Selvathi Dharmar

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Machine Learning Enabled Prediction of Biologically Relevant Gene Expression Using CT‐Based Radiomic Features in Non‐Small Cell Lung Cancer by Shrey S. Sukhadia, Christoph Sadée, Olivier Gevaert, Shivashankar H. Nagaraj

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The Turing Test and the Issue of Trust in AI Systems by Stacewicz Paweł, Sołoducha Krzysztof

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Application of Ultrasound Radiomics in Differentiating Benign from Malignant Breast Nodules in Women with Post-Silicone Breast Augmentation by Ling Hao, Yang Chen, Xuejiao Su, Buyun Ma

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Machine learning algorithm for predict the in-hospital mortality in critically ill patients with congestive heart failure combined with chronic kidney disease by Xunliang Li, Zhijuan Wang, Wenman Zhao, Rui Shi, Yuyu Zhu, Haifeng Pan, Deguang Wang

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Prediction Model of Phosphorus Content at the End Point of Electroslag Remelting Based on MI and XGBoost Algorithms by Liu　Yuxiao, Dong　Yanwu, Jiang　Zhouhua, Chen　Xi

Subjects: “…electroslag remelting； mutual information method； xgboost algorithm； phosphorus content； machine learning…”
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Identification of Plasma Proteins Associated with Alzheimer's Disease Using Feature Selection Techniques and Machine Learning Algorithms by Zakaria Mokadem, Mohamed Djerioui, Bilal Attallah, Youcef Brik

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A multi-strategy improved snake optimizer and its application to SVM parameter selection by Hong Lu, Hongxiang Zhan, Tinghua Wang

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Multistability of synchronous modes in a multimachine power grid with a common load and their global and non-local stability by Khramenkov, Vladislav Anatolevich, Dmitrichev, Aleksej Sergeevich, Nekorkin, Vladimir Isaakovich

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Matched pairs demonstrate robustness against inter-assay variability by Jochem Nelen, Horacio Pérez-Sánchez, Hans De Winter, Dries Van Rompaey

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Leveraging Simplex Gradient Variance and Bias Reduction for Black-Box Optimization of Noisy and Costly Functions by Mircea-Bogdan Radac, Titus Nicolae

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Diagnosis of Coronary Heart Disease by Using Hybrid Intelligent Systems Based on the Whale Optimization Algorithm, Simulated Annealing and Support Vector Machine by Zeinab Hassani, Mahin Khosravi

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Special Issue in Artificial Intelligence by Dora Maria Ballesteros

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Integrated analysis of bioinformatics, mendelian randomization, and experimental validation reveals novel diagnostic and therapeutic targets for osteoarthritis: progesterone as a p... by Ziyu Weng, Chenzhong Wang, Bo Liu, Yi Yang, Yueqi Zhang, Chi Zhang

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Rethinking the residual approach: leveraging statistical learning to operationalize cognitive resilience in Alzheimer’s disease by Colin Birkenbihl, Madison Cuppels, Rory T. Boyle, Hannah M. Klinger, Oliver Langford, Gillian T. Coughlan, Michael J. Properzi, Jasmeer Chhatwal, Julie C. Price, Aaron P. Schultz, Dorene M. Rentz, Rebecca E. Amariglio, Keith A. Johnson, Rebecca F. Gottesman, Shubhabrata Mukherjee, Paul Maruff, Yen Ying Lim, Colin L. Masters, Alexa Beiser, Susan M. Resnick, Timothy M. Hughes, Samantha Burnham, Ilke Tunali, Susan Landau, Ann D. Cohen, Sterling C. Johnson, Tobey J. Betthauser, Sudha Seshadri, Samuel N. Lockhart, Sid E. O’Bryant, Prashanthi Vemuri, Reisa A. Sperling, Timothy J. Hohman, Michael C. Donohue, Rachel F. Buckley

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Development, validation, and clinical application of a machine learning model for risk stratification and management of cervical cancer screening based on full-genotyping hrHPV tes... by Binhua Dong, Zhen Lu, Tianjie Yang, Junfeng Wang, Yan Zhang, Xunyuan Tuo, Juntao Wang, Shaomei Lin, Hongning Cai, Huan Cheng, Xiaoli Cao, Xinxin Huang, Zheng Zheng, Chong Miao, Yue Wang, Huifeng Xue, Shuxia Xu, Xianhua Liu, Huachun Zou, Pengming Sun

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