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Combining Physics-Based and Machine Learning Methods to Accelerate Innovation in Sustainable Transportation and Beyond - A Control Perspective

Combining Physics-Based and Machine Learning Methods to Accelerate Innovation in Sustainable Transportation and Beyond - A Control Perspective

Comparative Analysis of Machine Learning Algorithms for Predicting On-Target and Off-Target Effects of CRISPR Cas13d for gene editing - Findings and model comparison

Comparative Analysis of Machine Learning Algorithms for Predicting On-Target and Off-Target Effects of CRISPR Cas13d for gene editing - Findings and model comparison

Depression in the Times of COVID-19 - A Machine Learning Analysis Based on the Profile of Mood States

Identifying Appropriate Intellectual Property Protection Mechanisms for Machine Learning Models - A Systematization of Watermarking, Fingerprinting, Model Access, and Attacks

Identifying Appropriate Intellectual Property Protection Mechanisms for Machine Learning Models - A Systematization of Watermarking, Fingerprinting, Model Access, and Attacks

Classification of Lapses in Smokers Attempting to Stop - A Supervised Machine Learning Approach Using Data From a Popular Smoking Cessation Smartphone App

Classification of Lapses in Smokers Attempting to Stop - A Supervised Machine Learning Approach Using Data From a Popular Smoking Cessation Smartphone App

Developing a machine-learning model for real-time prediction of successful extubation in mechanically ventilated patients using time-series ventilator-derived parameters - Original Research

Developing a machine-learning model for real-time prediction of successful extubation in mechanically ventilated patients using time-series ventilator-derived parameters - Original Research

Automatic recognition of tweek atmospherics and plasma diagnostics in the lower ionosphere with the machine learning method

Automatic recognition of tweek atmospherics and plasma diagnostics in the lower ionosphere with the machine learning method

An interpretable machine-learning model for predicting the efficacy of nonsteroidal anti-inflammatory drugs for closing hemodynamically signiﬁcant patent ductus arteriosus in preterm infants

An interpretable machine-learning model for predicting the efficacy of nonsteroidal anti-inflammatory drugs for closing hemodynamically signiﬁcant patent ductus arteriosus in preterm infants

Self-supervised Video Representation Learning - Doctor of Philosophy Thesis

Self-supervised Video Representation Learning - Doctor of Philosophy Thesis

Data-driven classification of the chemical composition of calcine in a ferronickel furnace oven using machine learning techniques

Data-driven classification of the chemical composition of calcine in a ferronickel furnace oven using machine learning techniques

Stochastic volatility modeling of high-frequency CSI 300 index and dynamic jump prediction driven by machine learning - Research article

Stochastic volatility modeling of high-frequency CSI 300 index and dynamic jump prediction driven by machine learning - Research article

New Machine Learning Techniques for Simulation-Based Inference - InferoStatic Nets, Kernel Score Estimation, and Kernel Likelihood Ratio Estimation

New Machine Learning Techniques for Simulation-Based Inference - InferoStatic Nets, Kernel Score Estimation, and Kernel Likelihood Ratio Estimation

Adaptation of Speaker and Speech Recognition Methods for the Automatic Screening of Speech Disorders using Machine Learning

Adaptation of Speaker and Speech Recognition Methods for the Automatic Screening of Speech Disorders using Machine Learning

Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems - A systematic scientific machine learning approach

Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems - A systematic scientific machine learning approach

MAGNETIC - Multi-Agent Machine Learning-Based Approach for Energy Efficient Dynamic Consolidation in Data Centers

MAGNETIC - Multi-Agent Machine Learning-Based Approach for Energy Efficient Dynamic Consolidation in Data Centers