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Human capital in asset pricing - A machine learning perspective on the six-factor model for Pakistan's equity market

Human capital in asset pricing - A machine learning perspective on the six-factor model for Pakistan's equity market

Development and validation of a short form for the Raven's Coloured Progressive Matrices using a machine learning approach

Development and validation of a short form for the Raven's Coloured Progressive Matrices using a machine learning approach

A Machine Learning approach to transferable Loss-in-Weight feeder mass flow prediction - abstract

A Machine Learning approach to transferable Loss-in-Weight feeder mass flow prediction - abstract

PHYSICS-INFORMED MACHINE LEARNING FOR INVERSE PROBLEMS IN CONDITION MONITORING - A - 88

PHYSICS-INFORMED MACHINE LEARNING FOR INVERSE PROBLEMS IN CONDITION MONITORING - A - 88

Evaluating the Performance of State-of-the-Art ESG Domain-Specific Pre-Trained Large Language Models in Text Classification Against Existing Models and Traditional Machine Learning Techniques - Master of Science Dissertation

Evaluating the Performance of State-of-the-Art ESG Domain-Specific Pre-Trained Large Language Models in Text Classification Against Existing Models and Traditional Machine Learning Techniques - Master of Science Dissertation

AI and ChatGPT Applications in Computer Science - A Review of Machine Learning Frameworks for Healthcare, Food Production, and Cybersecurity

AI and ChatGPT Applications in Computer Science - A Review of Machine Learning Frameworks for Healthcare, Food Production, and Cybersecurity

帕金森病使用单导联心电图的机器学习分型：有或无快速动眼睡眠行为障碍

帕金森病使用单导联心电图的机器学习分型：有或无快速动眼睡眠行为障碍

Best Practices for Fitting Machine Learning Interatomic Potentials for Molten Salts - A Case Study Using NaCl-MgCl2

Best Practices for Fitting Machine Learning Interatomic Potentials for Molten Salts - A Case Study Using NaCl-MgCl2

A machine learning approach to vulnerability detection combining software metrics and topic modelling - Evidence from smart contracts

A machine learning approach to vulnerability detection combining software metrics and topic modelling - Evidence from smart contracts

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Predicting teacher turnover in private universities: a machine learning approach based on 10 years of data and satisfaction factors

Predicting teacher turnover in private universities: a machine learning approach based on 10 years of data and satisfaction factors

Natural Gradient Methods in Statistics and Machine Learning - Doctoral Dissertation

Natural Gradient Methods in Statistics and Machine Learning - Doctoral Dissertation

The Informal Economy as a Risk and an Opportunity for Sustainable Development - A Machine Learning-Based Approach

The Informal Economy as a Risk and an Opportunity for Sustainable Development - A Machine Learning-Based Approach

Application of supervised machine learning and Taylor diagrams for prognostic analysis of performance and emission characteristics of biogas-powered dual-fuel diesel engine - Research article

Application of supervised machine learning and Taylor diagrams for prognostic analysis of performance and emission characteristics of biogas-powered dual-fuel diesel engine - Research article

Added by Violet

Real-Time Athlete Localization with UWB and Machine Learning - Master’s Thesis

Real-Time Athlete Localization with UWB and Machine Learning - Master’s Thesis

Added by Violet

Identification of postoperative weight loss trajectories and development of a machine learning-based tool for predicting malnutrition in gastric cancer patients

Identification of postoperative weight loss trajectories and development of a machine learning-based tool for predicting malnutrition in gastric cancer patients

Added by Violet