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Support vector machines

Frailty prediction in heart failure patients with acute infections: the potential role of thiazide diuretics?

Tinghui Huang, Shuyi Liu, [ ... ], Yuying Shen

TIG welding defect detection using ResNet and Random Forest

Vu Quang Huy, Vu Minh Thuan, [ ... ], Pham Son Minh

An approach of state-of-charge prediction for lithium-ion batteries using hybrid Pyraformer-LSTM learning network

Xianbin Wang, Liping Zhang, [ ... ], Huimin Chen

Integrated machine learning for cause-of-death classification and postmortem interval prediction: Liver and kidney metabolomics from seawater-immersed rat cadavers

Jianghuan Lu, Yuzhao Xu, [ ... ], Jianqiang Deng

Predicting ankylosing spondylitis disease activity via patient-reported outcome measures: Building prediction models based on machine learning

Yifan Gong, Aomei Liu, [ ... ], Hongxiao Liu

Calibrated early-warning models with fairness auditing and selective prediction for course withdrawal risk: Evidence from OULAD

Suhan Wu, Jingyi Duan, Min Luo

Subject-independent EEG classification of imagined swallowing: Impact of saliva vs. water paradigms

Sevgi Gökçe Aslan, Bülent Yılmaz

ADRD: Detecting diffusion-generated images via adversarial perturbation induced reconstruction discrepancy

Yi Zhou, Xiangwei Hu, [ ... ], Shuangxi Chen

A local sequence alignment approach to recognizing fixed poetic forms across languages

Petr Plecháč, Artjoms Šeļa

Explainable machine learning for the early differentiation of pediatric bronchopneumonia using routine laboratory parameters

Jinxing Dai, Hao Qiu, [ ... ], Weibing Qiu

Diagnostic performance of machine learning models based on dual-phase ⁹⁹mTc-MIBI SPECT/CT semiquantitative parameters for differentiating benign and malignant pulmonary nodules

Kun Zhang, Xin Zhou, [ ... ], Yuzhuo Xing

Data-driven prediction and thermodynamic performance assessment of industrial cooling towers using advanced machine learning algorithms

Syed Rehman Jamil, Adeel Shehzad, [ ... ], Yasser Fouad

Explainable machine learning for predicting activities of daily living at discharge in stroke patients: A retrospective study using SHAP interpretability

Qian Ye, Guilin Fang, [ ... ], Lingling Liu

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