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Improvement of Machine Learning Models for Time Series Forecasting in Radial-Axial Ring Rolling through Transfer Learning - Abstract

Improvement of Machine Learning Models for Time Series Forecasting in Radial-Axial Ring Rolling through Transfer Learning - Abstract

Using Neutrosophic Trait Measures to Analyze Impostor Syndrome in College Students after COVID-19 Pandemic with Machine Learning

Using Neutrosophic Trait Measures to Analyze Impostor Syndrome in College Students after COVID-19 Pandemic with Machine Learning

AN ENERGY-BASED COMPARATIVE ANALYSIS OF COMMON APPROACHES TO TEXT CLASSIFICATION IN THE LEGAL DOMAIN

AN ENERGY-BASED COMPARATIVE ANALYSIS OF COMMON APPROACHES TO TEXT CLASSIFICATION IN THE LEGAL DOMAIN

Bringing Machine-Learning Enhanced Quantum Chemistry and Microwave Spectroscopy to Conformational Landscape Exploration - the Paradigmatic Case of 4-Fluoro-Threonine

Bringing Machine-Learning Enhanced Quantum Chemistry and Microwave Spectroscopy to Conformational Landscape Exploration - the Paradigmatic Case of 4-Fluoro-Threonine

Advances, Synergy, and Perspectives of Machine Learning and Biobased Polymers for Energy, Fuels, and Biochemicals for a Sustainable Future

Advances, Synergy, and Perspectives of Machine Learning and Biobased Polymers for Energy, Fuels, and Biochemicals for a Sustainable Future

An In-Depth Comparative Analysis of Machine Learning Techniques for Addressing Class Imbalance in Mental Health Prediction

An In-Depth Comparative Analysis of Machine Learning Techniques for Addressing Class Imbalance in Mental Health Prediction

Machine Learning Empowered Agile Hardware Design and Design Automation

Machine Learning Empowered Agile Hardware Design and Design Automation

Real-time machine-learning-driven control system of a deformable mirror for achieving aberration-free X-ray wavefronts

Real-time machine-learning-driven control system of a deformable mirror for achieving aberration-free X-ray wavefronts

State of the art review on machine learning and artificial intelligence in the study of neonatal necrotizing enterocolitis

State of the art review on machine learning and artificial intelligence in the study of neonatal necrotizing enterocolitis

Clustering Patients using Longitudinal Data - Master Thesis in ICT for Internet and Multimedia

Clustering Patients using Longitudinal Data - Master Thesis in ICT for Internet and Multimedia

Assessing over Decadal Biomass Burning Influence on Particulate Matter Composition in Subequatorial Amazon - Literature Review, Remote Sensing, Chemical Speciation and Machine Learning Application

Assessing over Decadal Biomass Burning Influence on Particulate Matter Composition in Subequatorial Amazon - Literature Review, Remote Sensing, Chemical Speciation and Machine Learning Application

Bullet Ricochet Mark Plan-View Morphology in Concrete - An Experimental Assessment of Five Bullet Types and Two Distances

Bullet Ricochet Mark Plan-View Morphology in Concrete - An Experimental Assessment of Five Bullet Types and Two Distances

COVID‑Net Biochem - an explainability‑driven framework to building machine learning models for predicting survival and kidney injury of COVID‑19 patients from clinical and biochemistry data

COVID‑Net Biochem - an explainability‑driven framework to building machine learning models for predicting survival and kidney injury of COVID‑19 patients from clinical and biochemistry data

Enhancing Mental Health Awareness through Twitter Analysis - A Comparative Study of Machine Learning and Hybrid Deep Learning Techniques

Enhancing Mental Health Awareness through Twitter Analysis - A Comparative Study of Machine Learning and Hybrid Deep Learning Techniques

Comparison of Bayesian and particle swarm algorithms for hyperparameter optimisation in machine learning applications in high energy physics

Comparison of Bayesian and particle swarm algorithms for hyperparameter optimisation in machine learning applications in high energy physics