Predicting biking preferences in Kigali city: A comparative study of traditional statistical models and ensemble machine learning models by Jean Marie Vianney Ntamwiza, Hannibal Bwire

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Mammalian piRNA target prediction using a hierarchical attention model by Tianjiao Zhang, Liang Chen, Haibin Zhu, Garry Wong

“…Finally, this model was utilized to predict the targets of all mouse and human piRNAs available in the piRNA database. …”
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Comprehensive Performance Assessment of Multi-Neural Ensemble Model for Mortality Prediction in ICU by M. Fathima Begum, Subhashini Narayan

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Correction: PPM-Decay: A computational model of auditory prediction with memory decay. by Peter M C Harrison, Roberta Bianco, Maria Chait, Marcus T Pearce

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Patient perspective on predictive models in healthcare: translation into practice, ethical implications and limitations? by Sarah Markham

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Harnessing pre-trained models for accurate prediction of protein-ligand binding affinity by Jiashan Li, Xinqi Gong

“…Results Our model demonstrates a significantly higher correlation coefficient in binding affinity predictions. …”
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ST-GAT Resident OD Prediction Model Based on Mobile Signaling Data by Xianguang Jia, Weijie Fang, Yingying Lyu, Jinke Zhang, Mengyi Guo, Dong Li, Jie Qu, Fengxiang Guo

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Predicting Response to Transarterial Chemoembolization in Hepatocellular Carcinoma Using Machine Learning Models by Niharika Dutta, Pankaj Gupta

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Predictive Modeling of Covid-19 Data in the US: Adaptive Phase-Space Approach by Vasilis Z. Marmarelis

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iPRISM: Intelligent Predicting Response to Cancer Immunotherapy through Systematic Modeling by Yinchun Su, Siyuan Li, Qian Wang, Bingyue Pan, Jiyin Lai, Guangyou Wang, Junwei Han, Qingfei Kong

“…Immunotherapy has revolutionized cancer treatment, but predicting patient response remains challenging. Herein, we present iPRISM (Intelligent Predicting Response to cancer Immunotherapy through Systematic Modeling), which is a novel network‐based model that integrates multiomics data to predict immunotherapy outcomes. …”
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Failure prediction of T-peel adhesive joints by different cohesive laws and modelling approaches by Alessandro Pirondi

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Study on factor-state artificial neural network model for water quality prediction by GUO Zong-lou, SHEN Wei

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OncoImmune machine-learning model predicts immune response and prognosis in leiomyosarcoma by Jingrong Deng, Changfa Shu, Dong Wang, Richard Nimbona, Xingping Zhao, Dabao Xu

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Insolvency and financial health prediction model for the listed companies on the Indonesia Stock Exchange by Khaira Amalia Fachrudin

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Novel hybrid model to improve the monthly streamflow prediction: Integrating ANN and PSO by Baydaa Abdul Kareem, Salah L. Zubaidi

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Ordinal versus nominal regression models and the problem of correctly predicting draws in soccer by Hvattum L. M.

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Insolvency and financial health prediction model for the listed companies on the Indonesia Stock Exchange by Khaira Amalia Fachrudin

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Effectiveness of models of degradation of functional parameters for predicting the parametric reliability of semiconductor devices by S. M. Borovikov, N. I. Tsyrelchuk, S. S. Dick, E. N. Shneiderov

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NBA Results Forecast: From League Dynamics Analysis to Predictive Model Implementation by Rodrigues F, Pires F

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Providing a Model for Predicting the Financial Behavior of Investors in the Iranian Stock Market by Sallar Ashqi Kareem

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