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Improved Forest Signal Detection for Space-Borne Photon-Counting LiDAR Using Automatic Machine Learning
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Improved Forest Signal Detection for Space-Borne Photon-Counting LiDAR Using Automatic Machine Learning

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Proposing new early detection indicators for pancreatic cancer - Combining machine learning and neural networks for serum miRNA-based diagnostic model
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Proposing new early detection indicators for pancreatic cancer - Combining machine learning and neural networks for serum miRNA-based diagnostic model

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An Improved Classical Singular Value Transformation for Quantum Machine Learning - arXiv Preprint
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An Improved Classical Singular Value Transformation for Quantum Machine Learning - arXiv Preprint

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Machine learning of power grid frequency dynamics and control - prediction, explanation and stochastic modelling
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Machine learning of power grid frequency dynamics and control - prediction, explanation and stochastic modelling

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Using the Interest Theory of Rights and Hohfeldian Taxonomy to Address a Gap in Machine Learning Methods for Legal Document Analysis
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Using the Interest Theory of Rights and Hohfeldian Taxonomy to Address a Gap in Machine Learning Methods for Legal Document Analysis

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Predicting COVID-19 exposure risk perception using machine learning
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Predicting COVID-19 exposure risk perception using machine learning

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A Versatile Federated Machine Learning Strategy with Applications to XGBoost, GMM and DBSCAN - Thesis Abstract
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A Versatile Federated Machine Learning Strategy with Applications to XGBoost, GMM and DBSCAN - Thesis Abstract

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A model for predicting physical function upon discharge of hospitalized older adults in Taiwan - a machine learning approach based on both electronic health records and comprehensive geriatric assessment
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A model for predicting physical function upon discharge of hospitalized older adults in Taiwan - a machine learning approach based on both electronic health records and comprehensive geriatric assessment

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Exploring the association between time series features and forecasting by temporal aggregation using machine learning - Empirical study
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Exploring the association between time series features and forecasting by temporal aggregation using machine learning - Empirical study

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Fractal dimension: analyzing its potential as a neuroimaging biomarker for brain tumor diagnosis using machine learning
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Fractal dimension: analyzing its potential as a neuroimaging biomarker for brain tumor diagnosis using machine learning

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Board gender diversity and workplace diversity - a machine learning approach
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Board gender diversity and workplace diversity - a machine learning approach

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Machine Learning Predictions of High-Curie-Temperature Materials
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Machine Learning Predictions of High-Curie-Temperature Materials

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SOIL MOISTURE ESTIMATION OF EUCALYPTUS FORESTS IN PORTUGAL WITH L-BAND SAR USING POLARIMETRIC DECOMPOSITIONS AND MACHINE LEARNING - Dissertation
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SOIL MOISTURE ESTIMATION OF EUCALYPTUS FORESTS IN PORTUGAL WITH L-BAND SAR USING POLARIMETRIC DECOMPOSITIONS AND MACHINE LEARNING - Dissertation

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Apricot Stone Classification Using Image Analysis and Machine Learning
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Apricot Stone Classification Using Image Analysis and Machine Learning

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NOISE-AWARE QUANTUM SOFTWARE TESTING - QOIN 方案用于缓解噪声影响
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NOISE-AWARE QUANTUM SOFTWARE TESTING - QOIN 方案用于缓解噪声影响

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