Massive Free Documents

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

Noisy Ostracods - A Fine-Grained, Imbalanced Real-World Dataset - For Benchmarking Robust Machine Learning and Label Correction Methods

Noisy Ostracods - A Fine-Grained, Imbalanced Real-World Dataset - For Benchmarking Robust Machine Learning and Label Correction Methods

Add by Theodora

Weak Gravitational Lensing Cosmology with Novel Analytical and Machine Learning Frameworks

Weak Gravitational Lensing Cosmology with Novel Analytical and Machine Learning Frameworks

Add by Genevieve

Machine Learning Approaches to Latent Variable Modeling - Dissertation

Machine Learning Approaches to Latent Variable Modeling - Dissertation

Add by Genevieve

Using Machine Learning to Model Future Distributions of Babandotan Ageratum conyzoides L. Under Climate Change Scenarios (CMIP 5: RCP 2.6 and RCP 8.5) until 2070 in Bandung Areas

Using Machine Learning to Model Future Distributions of Babandotan Ageratum conyzoides L. Under Climate Change Scenarios (CMIP 5: RCP 2.6 and RCP 8.5) until 2070 in Bandung Areas

Add by Genevieve

Statistical Methods leveraging Uncertainties in Machine Learning - Dissertation

Statistical Methods leveraging Uncertainties in Machine Learning - Dissertation

Add by Genevieve

EARLY-STAGE LUNG CANCER DIAGNOSIS USING NEW REGRESSION FEATURES AND MACHINE LEARNING

EARLY-STAGE LUNG CANCER DIAGNOSIS USING NEW REGRESSION FEATURES AND MACHINE LEARNING

Add by Genevieve

Public procurement cartels: A large-sample testing of screens using machine learning

Public procurement cartels: A large-sample testing of screens using machine learning

Add by Genevieve

INCREASE THE EFFICIENCY OF LOAN PREDICTION USING MACHINE LEARNING APPROACH - Thesis

INCREASE THE EFFICIENCY OF LOAN PREDICTION USING MACHINE LEARNING APPROACH - Thesis

Add by Genevieve

Using machine learning to improve the diagnostic accuracy of the modified Duke/ESC 2015 criteria in patients with suspected prosthetic valve endocarditis - a proof of concept study

Using machine learning to improve the diagnostic accuracy of the modified Duke/ESC 2015 criteria in patients with suspected prosthetic valve endocarditis - a proof of concept study

Add by Genevieve

Unmasking the physical information inherent to interstellar spectral line profiles with machine learning - I. Application of LTE to HCN and HNC transitions

Unmasking the physical information inherent to interstellar spectral line profiles with machine learning - I. Application of LTE to HCN and HNC transitions

Add by Genevieve

Remote sensing and machine learning integration to detect and forecast floods in Lodwar Town, Turkwel Basin, Kenya

Remote sensing and machine learning integration to detect and forecast floods in Lodwar Town, Turkwel Basin, Kenya

Add by Genevieve

Drying shrinkage and crack width prediction using machine learning in mortars containing different types of industrial by-product fine aggregates

Drying shrinkage and crack width prediction using machine learning in mortars containing different types of industrial by-product fine aggregates

Add by Genevieve

A Novel Hybrid Decision Making Framework for FX Hedging Strategy Selection Using Machine Learning and Fuzzy TOPSIS - Master’s Thesis

A Novel Hybrid Decision Making Framework for FX Hedging Strategy Selection Using Machine Learning and Fuzzy TOPSIS - Master’s Thesis

Add by Genevieve

Role of Machine Learning in Low-Code/No-Code Platforms - A Systematic Literature Review of Opportunities and Challenges

Role of Machine Learning in Low-Code/No-Code Platforms - A Systematic Literature Review of Opportunities and Challenges

Add by Genevieve

Development of a Senescence-Related lncRNA Signature in Endometrial Cancer Based on Multiple Machine Learning Models

Development of a Senescence-Related lncRNA Signature in Endometrial Cancer Based on Multiple Machine Learning Models

Add by Genevieve