Scientific Research Publishing

Hayes, A. F., & Cai, L. (2007). Using Heteroskedasticity-Consistent Standard Error Estimators in OLS Regression: An Introduction and Software Implementation.

ABSTRACT: This study investigates the impact of wage structure on employee satisfaction, motivation, and retention in Thailand’s textile manufacturing industry. Despite the recognized importance of ...
Scientific Research Publishing

Johnson, A. and Lee, M. (2022) Predictive Modeling for Cardiovascular Risk Assessment Using Logistic Regression and Deep Learning. Journal of Biomedical Informatics, 130 ...

ABSTRACT: Heart disease remains one of the leading causes of mortality worldwide, accounting for millions of deaths annually. Early detection of individuals at risk is essential for reducing ...
GitHub

Enhancement: Implement Yield Prediction using ANN (Deep Learning) with Kaggle Dataset

The current project uses a Random Forest model for yield prediction. While this works, we can also implement the task using a Deep Learning Artificial Neural Network (ANN) for potentially better ...
ascopubs.org

Development and implementation of a home bortezomib injection program in the US (Ann Arbor VA Close to Me).

Modernizing clinical trial accessibility: Integrating the AI-powered LookUpTrials app into the CTN program. Nursing Lack of a protocol for home administration of bortezomib Educational materials, ...
Hosted on MSN

Machine Learning Model Comparison with Bootstrap Resampling | sklearn Implementation

Learn how to compare ML models using bootstrap resampling with a hands-on sklearn implementation. Trump promised lower grocery prices ‘on Day One.’ Here’s what happened Disturbance in the Atlantic has ...
Hosted on MSN

Linear Regression In Python From Scratch | Simply Explained

Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...
Visual Studio Magazine

Nadaraya-Watson Kernel Regression Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of Nadaraya-Watson kernel regression using the C# language. NW kernel regression is simple to implement and is ...
IEEE

Human Daily Indoor Action (HDIA) Dataset: Privacy-Preserving Human Action Recognition Using Infrared Camera and Wearable Armband Sensors

Abstract: Human Activity Recognition (HAR) plays a vital role in applications such as healthcare, smart homes, and robotics, particularly in supporting the elderly. However, most existing HAR datasets ...
marktechpost

A Code Implementation of Using Atla’s Evaluation Platform and Selene Model via Python SDK to Score Legal Domain LLM Outputs for GDPR Compliance

In this tutorial, we demonstrate how to evaluate the quality of LLM-generated responses using Atla’s Python SDK, a powerful tool for automating evaluation workflows with natural language criteria.
GitHub

A scikit-learn compatible implementation of the Adaptive Lasso algorithm for feature selection and regression.

Adaptive Lasso is an extension of the standard Lasso method that provides improved feature selection properties through weighted L1 penalties. It assigns different weights to different coefficients in ...
The Michigan Daily

U-M researchers explore new water treatment using bacteria in Ann Arbor

This article was written as part of The Michigan Daily’s investigation to better understand the risks, advancements and future of water in Michigan and beyond. Read other stories from the project here ...