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Physics-inspired machine learning of localized intensive properties

Physics-inspired machine learning of localized intensive properties

Added by Lucas Martin

A roadmap for applying machine learning when working with privacy-sensitive data - predicting non-response to treatment for eating disorders

A roadmap for applying machine learning when working with privacy-sensitive data - predicting non-response to treatment for eating disorders

Added by Lucas Martin

Defending Your Mobile Fortress - An In-Depth Look at on-Device Trojan Detection in Machine Learning - Systematic Literature Review

Defending Your Mobile Fortress - An In-Depth Look at on-Device Trojan Detection in Machine Learning - Systematic Literature Review

Added by Lucas Martin

Development of an Optimized Intelligent Machine Learning Approach in Forex Trading Using Moving Average Indicators - Expert Advisor

Development of an Optimized Intelligent Machine Learning Approach in Forex Trading Using Moving Average Indicators - Expert Advisor

Added by Lucas Martin

Detecting Privacy Threats with Machine Learning - A Design Framework for Identifying Side-Channel Risks of Illegitimate User Profiling

Detecting Privacy Threats with Machine Learning - A Design Framework for Identifying Side-Channel Risks of Illegitimate User Profiling

Added by Lucas Martin

Towards fast machine-learning-assisted Bayesian posterior inference of microseismic event location and source mechanism

Towards fast machine-learning-assisted Bayesian posterior inference of microseismic event location and source mechanism

Added by Lucas Martin

Effects of Buffer Size on Associations Between the Built Environment and Metro Ridership - A Machine Learning-Based Sensitive Analysis

Effects of Buffer Size on Associations Between the Built Environment and Metro Ridership - A Machine Learning-Based Sensitive Analysis

Added by Lucas Martin

Evaluation of machine learning methods and multi-source remote sensing data combinations to construct forest above-ground biomass models

Evaluation of machine learning methods and multi-source remote sensing data combinations to construct forest above-ground biomass models

Added by Lucas Martin

Estimating Continuous Treatment Effects in Panel Data using Machine Learning with a Climate Application - Abstract and Introduction

Estimating Continuous Treatment Effects in Panel Data using Machine Learning with a Climate Application - Abstract and Introduction

Added by Lucas Martin

Resource frugal optimizer for quantum machine learning - Research approach

Resource frugal optimizer for quantum machine learning - Research approach

Added by Lucas Martin

Footwear-Integrated Force Sensing Resistor Sensors - A Machine Learning Approach for Categorizing Lower Limb Disorders

Footwear-Integrated Force Sensing Resistor Sensors - A Machine Learning Approach for Categorizing Lower Limb Disorders

Added by Lucas Martin

Predicting site-specific economic optimal nitrogen rate using machine learning methods and on-farm precision experimentation

Predicting site-specific economic optimal nitrogen rate using machine learning methods and on-farm precision experimentation

Added by Lucas Martin

Functional Material Systems Enabled by Automated Data Extraction and Machine Learning

Functional Material Systems Enabled by Automated Data Extraction and Machine Learning

Added by Lucas Martin

GENETIC PROGRAMMING TO OPTIMIZE PERFORMANCE OF MACHINE LEARNING ALGORITHMS ON UNBALANCED DATA SET

GENETIC PROGRAMMING TO OPTIMIZE PERFORMANCE OF MACHINE LEARNING ALGORITHMS ON UNBALANCED DATA SET

Added by Lucas Martin

COVID-19 detection using chest X-ray images based on Machine learning and Deep learning models - Further evidence from Data Augmentation

COVID-19 detection using chest X-ray images based on Machine learning and Deep learning models - Further evidence from Data Augmentation