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Robust storm surge forecasts for early warning system - a machine learning approach using Monte Carlo Bayesian model selection algorithm

Robust storm surge forecasts for early warning system - a machine learning approach using Monte Carlo Bayesian model selection algorithm

Context-aware machine learning for low-burden brain-computer interfaces - A dissertation

Context-aware machine learning for low-burden brain-computer interfaces - A dissertation

Identification and validation of glycolysis-related diagnostic signatures in diabetic nephropathy - a study based on integrative machine learning and single-cell sequence

Identification and validation of glycolysis-related diagnostic signatures in diabetic nephropathy - a study based on integrative machine learning and single-cell sequence

The underlying signals of efficiency in European universities: a combined efficiency and machine learning approach

The underlying signals of efficiency in European universities: a combined efficiency and machine learning approach

Automatic Control of Linear Particle Accelerators with Machine Learning Methods

Automatic Control of Linear Particle Accelerators with Machine Learning Methods

Machine learning based predictive model and genetic mutation landscape for high-grade colorectal neuroendocrine carcinoma - SEER database analysis with external validation

Machine learning based predictive model and genetic mutation landscape for high-grade colorectal neuroendocrine carcinoma - SEER database analysis with external validation

Dude - Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model - Abstract

Dude - Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model - Abstract

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Advancing breast cancer prediction - machine learning, data balancing, and ant colony optimization

Advancing breast cancer prediction - machine learning, data balancing, and ant colony optimization

On Principled Modeling of Inductive Bias in Machine Learning - Dissertation

On Principled Modeling of Inductive Bias in Machine Learning - Dissertation

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Uncovering the Limits of Machine Learning for Automatic Vulnerability Detection

Uncovering the Limits of Machine Learning for Automatic Vulnerability Detection

Adaptive optimization for prediction with missing data

Adaptive optimization for prediction with missing data

Advancing Terrestrial Snow Depth Monitoring with Machine Learning and L-band InSAR Data - A Case Study Using NASA’s SnowEx 2017 Data

Advancing Terrestrial Snow Depth Monitoring with Machine Learning and L-band InSAR Data - A Case Study Using NASA’s SnowEx 2017 Data

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Machine Learning Microfluidic based platform - Integration of Lab-on-Chip devices and data analysis algorithms for Red Blood Cell plasticity evaluation in Pyruvate Kinase Disease monitoring - Submitted to Sensors and Actuators A: Physical

Machine Learning Microfluidic based platform - Integration of Lab-on-Chip devices and data analysis algorithms for Red Blood Cell plasticity evaluation in Pyruvate Kinase Disease monitoring - Submitted to Sensors and Actuators A: Physical

Added by Theodore

Automated post-run analysis of arrayed quantitative PCR amplification curves using machine learning

Automated post-run analysis of arrayed quantitative PCR amplification curves using machine learning

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Assessing the spatial-temporal performance of machine learning in predicting grapevine water status from Landsat 8 imagery - block-out and date-out cross-validation

Assessing the spatial-temporal performance of machine learning in predicting grapevine water status from Landsat 8 imagery - block-out and date-out cross-validation

Added by Theodore