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 ...
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 ...
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 ...
The New York Times

The Supreme Court Decision on ICE and Racial Profiling, Explained

The ruling allowed immigration agents to stop people for reasons that lower courts had deemed likely unconstitutional. By Charlie Savage Reporting from Washington The Supreme Court on Monday ...
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 ...
Nature

Classification of biomedical lung cancer images using optimized binary bat technique by constructing oblique decision trees

Due to imbalanced data values and high-dimensional features of lung cancer from CT scans images creates significant challenges in clinical research. The improper classification of these images leads ...
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 ...
Frontiers

A comparative analysis of binary and multi-class classification machine learning algorithms to detect current frailty status using the English longitudinal study of ageing (ELSA)

Physical frailty is a pressing public health issue that significantly increases the risk of disability, hospitalization, and mortality. Early and accurate detection of frailty is essential for timely ...
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 ...
Frontiers

Enhancing performance prediction of municipal solid waste generation: a strategic management

Municipal Solid Waste Generation (MSWG) presents a significant challenge for sustainable urban development, with waste production escalating at alarming rates worldwide. To address this issue, ...
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 ...