Scientific Research Publishing

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features ()

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...
Tech Xplore

Why asking people to rank three options could sharpen AI and recommendation systems

In his 1927 paper, "A law of comparative judgment," the American psychologist L. L. Thurstone proposed that when people ...
Analytics Insight

Types of Algorithms in Computer Science: A Simple Guide for Beginners

Overview: Algorithm selection is an engineering decision: the wrong choice can freeze a system at scale, regardless of ...
SciELO

COMPUTATIONAL VISION FOR TOMATO CLASSIFICATION USING A DECISION TREE ALGORITHM

Computer vision systems combined with machine learning techniques have demonstrated success as alternatives to empirical methods for classification and selection. This study aimed to classify tomatoes ...
LinkedIn

Classification Algorithms Decision Trees and Random Forest

In Week 18 of my DataraFlow, the focus was on tree-based classification algorithms, specifically Decision Tree and Random Forest classifiers. These models are widely used in machine learning because ...
The New York Times

F.D.A. Reverses Decision and Agrees to Review Moderna’s Flu Vaccine

Moderna held further discussions with regulators and announced that the agency would accept the company’s application for approval of its flu vaccine that uses mRNA technology. By Christina Jewett and ...
IEEE

Comparing Decision Tree Algorithms for Business Classification Problems – A Systematic Literature Review

Abstract: Because of their transparency, interpretability, and efficiency in classification tasks, decision tree algorithms are the foundation of many Business Intelligence (BI) and Analytics ...
Quality Assurance

FDA Releases Decision Tree to Screen Toxicity of Chemicals in Food

The U.S. Food and Drug Administration (FDA) released its Expanded Decision Tree (EDT) chemical toxicity and risk screening tool July 30. The tool was designed to provide a consistent, systematic, ...
Nature

Data-driven diabetes mellitus prediction and management: a comparative evaluation of decision tree classifier and artificial neural network models along with statistical analysis

Diabetes Mellitus is a chronic metabolic disorder affecting a substantial global population leading to complications such as retinopathy, nephropathy, neuropathy, foot problems, heart attacks, and ...
Microsoft

Decision Trees with Short Explainable Rules

There is indeed a vast literature on the design and analysis of decision tree algorithms that aim at optimizing these parameters. This paper contributes to this important line of research: we propose ...
Nature

The data analysis of sports training by ID3 decision tree algorithm and deep learning

In order to improve the accuracy and efficiency of sports training data analysis, this paper proposes an optimized analysis model by combining Iterative Dichotomiser 3 (ID3) decision tree algorithm ...
InfoWorld

10 Java-based tools and frameworks for generative AI

Java is not the first language most programmers think of when they start projects involving artificial intelligence (AI) and machine learning (ML). Many turn first to Python because of the large ...