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Rapid Estimation of the Intermolecular Electronic Couplings and Charge-Carrier Mobilities of Crystalline Molecular Organic Semiconductors through a Machine Learning Pipeline

Rapid Estimation of the Intermolecular Electronic Couplings and Charge-Carrier Mobilities of Crystalline Molecular Organic Semiconductors through a Machine Learning Pipeline

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Exploring Statistical and Machine Learning-Based Missing Data Imputation Methods to Improve Crash Frequency Prediction Models for Highway-Rail Grade Crossings - Paper

Exploring Statistical and Machine Learning-Based Missing Data Imputation Methods to Improve Crash Frequency Prediction Models for Highway-Rail Grade Crossings - Paper

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Data-Centric Machine Learning for Human-Centric Applications - doctoral dissertation

Data-Centric Machine Learning for Human-Centric Applications - doctoral dissertation

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Turbulence Modeling in Core-Collapse Supernovae with Machine Learning - Dissertation

Turbulence Modeling in Core-Collapse Supernovae with Machine Learning - Dissertation

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Application of Machine Learning and Artificial Intelligence to Extend EFIT Equilibrium Reconstruction - Research Overview

Application of Machine Learning and Artificial Intelligence to Extend EFIT Equilibrium Reconstruction - Research Overview

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Machine Learning Improves Risk Stratification in Myelodysplastic Neoplasms - An Analysis of the Spanish Group of Myelodysplastic Syndromes

Machine Learning Improves Risk Stratification in Myelodysplastic Neoplasms - An Analysis of the Spanish Group of Myelodysplastic Syndromes

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Development of a Modular Knowledge-Discovery Framework based on Machine Learning - for the Interdisciplinary Analysis of Complex Phenomena in the Context of GDI Combustion Processes - Dissertation

Development of a Modular Knowledge-Discovery Framework based on Machine Learning - for the Interdisciplinary Analysis of Complex Phenomena in the Context of GDI Combustion Processes - Dissertation

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Machine Learning Interatomic Potentials to Predict Bond Dissociation Energies

Machine Learning Interatomic Potentials to Predict Bond Dissociation Energies

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Remote physiological monitoring of the giant panda and red panda using near infrared spectroscopy and machine learning

Remote physiological monitoring of the giant panda and red panda using near infrared spectroscopy and machine learning

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Optimizing Sales Performance in Creative as a Service (CaaS) Companies - A Machine Learning Approach to Opportunity Time - Series Forecasting

Optimizing Sales Performance in Creative as a Service (CaaS) Companies - A Machine Learning Approach to Opportunity Time - Series Forecasting

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Market Volatility: Can Machine Learning Methods Enhance Volatility Forecasting? - Dissertation Abstract

Market Volatility: Can Machine Learning Methods Enhance Volatility Forecasting? - Dissertation Abstract

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Predictive geochemical mapping using machine learning in western Kenya - Article abstract - Random Forest spatial prediction

Predictive geochemical mapping using machine learning in western Kenya - Article abstract - Random Forest spatial prediction

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Comparative effectiveness of explainable machine learning approaches - Extrauterine growth restriction classification in preterm infants using longitudinal data

Comparative effectiveness of explainable machine learning approaches - Extrauterine growth restriction classification in preterm infants using longitudinal data

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A Deep Diagnostic Framework Using Explainable Artificial Intelligence and Clustering - Paper Abstract

A Deep Diagnostic Framework Using Explainable Artificial Intelligence and Clustering - Paper Abstract

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System Usability Prediction Based on Eye-Tracking Data Using Machine Learning - A Case of Text-Entry in Virtual Reality

System Usability Prediction Based on Eye-Tracking Data Using Machine Learning - A Case of Text-Entry in Virtual Reality

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