Emergence of digital biomarkers to predict and modify treatment efficacy: machine learning study by Nicole L Guthrie, Jason Carpenter, Katherine L Edwards, Kevin J Appelbaum, Sourav Dey, David M Eisenberg, David L Katz, Mark A Berman

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Prediction of individual risk of acute kidney injury in urgent abdominal surgical pathology by M. I. Turovets, Yu. I. Vedenin, D. A. Kazantsev, A. S. Popov, A. V. Ekstrem, I. V. Skachko

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Prediction of bank credit customers churn based on machine learning and interpretability analysis by Ying Li, Keyue Yan

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K-Nearest Neighbors for Anomaly Detection and Predictive Maintenance in Water Pumping Systems by João Pablo Santos da Silva, André Laurindo Maitelli

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Predicting the habitat suitability of Ilex verticillata (Aquifoliaceae) in China with field-test validations. by Yawen Yin, Zhaobin Hou, Qiuyue Sun, Bailing Zhu, Jiaqi Liu, Yiping Zou, Mingzhuo Hao

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Implementation of SVM Algorithm to Predict Song Popularity based on Sentiment Analysis of Lyrics by Quiin Latifah Almatin Lubis, Arif Akbarul Huda

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Improving the accuracy of rainfall prediction using a regionalization approach and neural networks by Mohammad Arab Amiri, Christian Conoscenti, Mohammad Saadi Mesgari

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Preoperative prediction of pituitary neuroendocrine tumor invasion using multiparametric MRI radiomics by Qiuyuan Yang, Tengfei Ke, Jialei Wu, Yubo Wang, Jiageng Li, Yimin He, Jianxian Yang, Nan Xu, Bin Yang

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Parking Occupancy Prediction Method Based on Multi Factors and Stacked GRU-LSTM by Chao Zeng, Changxi Ma, Ke Wang, Zihao Cui

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Ensembles of Gradient Boosting Recurrent Neural Network for Time Series Data Prediction by Shiqing Sang, Fangfang Qu, Pengcheng Nie

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Novel meta-ensemble modelling approach and comparison of machine-learning models for rebar price estimation by Sahin Tolga Guvel, Abdulkadir Budak, Ibrahim Karataş

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A novel twin time series network for building energy consumption predicting. by Zhixin Sun, Han Cui, Xiangxiang Mei, Hailei Yuan

“…The proposed method, along with baseline model code and data, has been updated and is available at https://github.com/HaileiYuan/T2SNET-Pro.git.…”
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A nonlocal Schwinger model by Ludo Fraser-Taliente, Christopher P. Herzog, Abhay Shrestha

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Photovoltaic output prediction based on VMD disturbance feature extraction and WaveNet by ShouSheng Zhao, Xiaofeng Yang, Kangyi Li, Xijuan Li, Weiwen Qi, Xingxing Huang

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Evolutionary analysis and interaction prediction for protein-protein interaction network in geometric space. by Lei Huang, Li Liao, Cathy H Wu

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Predicting the Degree of Fresh Tea Leaves Withering Using Image Classification Confidence by Mengjie Wang, Yali Shi, Yaping Li, Hewei Meng, Zezhong Ding, Zhengrui Tian, Chunwang Dong, Zhiwei Chen

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Feasibility of predicting firearm type in firearm suicide deaths for better policy evaluation by Emma L. Gause, Alice M. Ellyson, Ali Rowhani-Rahbar

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Tailored meta-learning for dual trajectory transformer: advancing generalized trajectory prediction by Feilong Huang, Zide Fan, Xiaohe Li, Wenhui Zhang, Pengfei Li, Ying Geng, Keqing Zhu

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Machine learning predicts prognosis in patients with gastroenteropancreatic neuroendocrine tumors with liver metastases by Fuli Gao, Jian Chen, Xiaodan Xu

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Ensemble Learning-Based Metamodel for Enhanced Surface Roughness Prediction in Polymeric Machining by Elango Natarajan, Manickam Ramasamy, Sangeetha Elango, Karthikeyan Mohanraj, Chun Kit Ang, Ali Khalfallah

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