Massive Free Documents

Discover millions of professional documents covering academic, business, culture and more.

Machine Learning Workflows for Chemistry: Applications in Catalysis and Ionic Liquids

Machine Learning Workflows for Chemistry: Applications in Catalysis and Ionic Liquids

CANEDERLI - On The Impact of Adversarial Training and Transferability on CAN Intrusion Detection Systems

CANEDERLI - On The Impact of Adversarial Training and Transferability on CAN Intrusion Detection Systems

Machine Learning Aided Uncertainty Quantification for Engineering Structures - Thesis

Machine Learning Aided Uncertainty Quantification for Engineering Structures - Thesis

SYNERGIZING CAUSAL INFERENCE AND MACHINE LEARNING FOR ACTIONABLE INFERENCE

SYNERGIZING CAUSAL INFERENCE AND MACHINE LEARNING FOR ACTIONABLE INFERENCE

Detecting Refactoring Commits in Machine Learning Python Projects - A Machine Learning-Based Approach

Detecting Refactoring Commits in Machine Learning Python Projects - A Machine Learning-Based Approach

The role of hyperparameters in machine learning models and how to tune them - Research Note

The role of hyperparameters in machine learning models and how to tune them - Research Note

Forecasting Gender in Open Education Competencies - A Machine Learning Approach

Forecasting Gender in Open Education Competencies - A Machine Learning Approach

Assessing the Reliability of Machine Learning Models Applied to the Mental Health Domain Using Explainable AI

Assessing the Reliability of Machine Learning Models Applied to the Mental Health Domain Using Explainable AI

Forecasting Bitcoin returns - Econometric time series analysis vs. machine learning

Forecasting Bitcoin returns - Econometric time series analysis vs. machine learning

A comparative study of machine learning tools for detecting Trojan horse infections in cloud computing environments

A comparative study of machine learning tools for detecting Trojan horse infections in cloud computing environments

Sparse Parameterisations For Efficient Machine Learning Algorithms

Sparse Parameterisations For Efficient Machine Learning Algorithms

Machine Learning-Based Parameterisation of Photolysis in GEOS-Chem - Version 14.2.2 - Masters of Science by Research

Machine Learning-Based Parameterisation of Photolysis in GEOS-Chem - Version 14.2.2 - Masters of Science by Research

Wall modeled computational fluid dynamics using machine learning - Using CFD coupled machine learning to create wall models for increased LES knowledge for future industrial use

Wall modeled computational fluid dynamics using machine learning - Using CFD coupled machine learning to create wall models for increased LES knowledge for future industrial use

Modular Machine Learning Based Circuit Design - Improving Scalability of Machine-Learning Based Circuit Design

Modular Machine Learning Based Circuit Design - Improving Scalability of Machine-Learning Based Circuit Design

Examining Regression Assumption Violations in Machine Learning Models - Using the Wisconsin Longitudinal Study Dataset

Examining Regression Assumption Violations in Machine Learning Models - Using the Wisconsin Longitudinal Study Dataset