Quanta Magazine

To Understand AI, Watch How It Evolves

Naomi Saphra thinks that most research into language models focuses too much on the finished product. She’s mining the ...
IEEE

Integrated Machine Learning Approach to Phishing Detection: Comparing SVM, Random Forest, and XGBoost Models

Abstract: The objective of this research is to create a phishing detection system that is both efficient and effective. This system will be based on sophisticated machine learning models, including ...

Cai Cai's Machine Learning Sklearn Class: Understandable from Scratch, from Model Invocation to Practical Implementation

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...
IEEE

PIML-SM: Physics-Informed Machine Learning to Estimate Surface Soil Moisture From Multisensor Satellite Images by Leveraging Swarm Intelligence

Abstract: We introduce a physics-informed machine learning (PIML) algorithm based on a feed-forward neural network (FFNN) to estimate surface soil moisture from limited in situ measurements and ...
Frontiers

Predicting mortality in intensive care unit patients with CAUTI using an interpretable machine learning model: a retrospective cohort study from MIMIC-IV database

Objective: The aim of this study was to develop a reliable model for predicting mortality in patients with catheter-associated urinary tract infection (CAUTI) in intensive care unit (ICU). Methods: ...