Dynamic Factor Analysis for Sparse and Irregular Longitudinal Data: An Application to Metabolite Measurements in a COVID-19 Study. [PDF]
Cai J, Goudie RJB, Tom BDM.
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Binary classification of signal and background triggers of a transition edge sensor using convolutional neural networks. [PDF]
Rivasto E +7 more
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DYNAMIC: A Novel Software Implementation of a Kinetic Model of TaqMan PCR. [PDF]
Kreitmann L +6 more
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Enhancing myocardial infarction detection with vectorcardiography: fusion-based comparative analysis of machine learning methods. [PDF]
Vondrak J, Penhaker M.
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Machine Learning Prediction of Analyte-Induced Fluorescence Perturbations in DNA-Functionalized Carbon Nanotubes. [PDF]
Chakraborty S +4 more
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MSQPSO-Optimized MSCC-CAE for Sensor Fault Detection and Localization in Small Modular Reactors. [PDF]
Zhang W, Wan X, Li X, He Z, Luo M.
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Hyperparameter optimization to enhance the performance of deep learning models for the early detection of invasive turtles in Korea. [PDF]
Baek JW, Kim JI, Mun MH, Kim CB.
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A novel method of bayesian genetic optimization on automated hyperparameter tuning. [PDF]
Li Q +4 more
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Machine-Learning Ice Spectra: From 1 to 256 Features. [PDF]
Shermukhamedov S +3 more
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Deep Learning for Predicting Late-Onset Breast Cancer Metastasis: The Single-Hyperparameter Grid Search (SHGS) Strategy for Meta-Tuning a Deep Feed-Forward Neural Network. [PDF]
Zhou Y, Arora-Jain O, Jiang X.
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