IEEE

FASTEN: Fuzzy Neural Support Vector Machine for Classification

Abstract: Classification tasks have long been a central concern in the field of machine learning. Although deep neural network-based approaches offer a novel, versatile, and highly precise solution ...
The Conversation

First Robodebt, now NDIS and aged care: how computers still decide who gets care

Every welfare program negotiates a fundamental tension: between fiscal responsibility and consistency on one hand, and care for real people with complex needs and situations on the other. Over the ...
IEEE

Feature Extraction and Compliance Classification of Text Files Using Large Language Models

Abstract: In industries such as finance, healthcare, and new energy vehicles, data classification and grading standards ensure regulatory compliance and protect sensitive information. However, ...
InfoWorld

Using AI-powered email classification to accelerate help desk responses

Service-based organizations may handle thousands of customer emails daily, placing a significant burden on IT help desks, customer service organizations, and other departments involved in reading, ...
GitHub

A python implementation of the various ripple down rules versions, including Single Classification (SCRDR), Multi Classification (MCRDR), and Generalised Ripple Down Rules (GRDR).

SCRDR, MCRDR, and GRDR are rule-based classifiers that are built incrementally, and can be used to classify data cases. The rules are refined as new data cases are classified. SCRDR, MCRDR, and GRDR ...
Scientific Research Publishing

Credit Score Classification Using Advanced Machine Learning: A Comprehensive Approach ()

1 Department of Computer Science, Rutgers University, New Brunswick, NJ, USA. 2 Department of Computer Science, Rochester Institute of Technology, Rochester, NY, USA. This paper presents a ...
Computer Weekly

Data classification: What, why and who provides it

When it comes to managing data, we need to know where it is – but we also need to know what it is. With the rise in regulatory controls, enterprises now pay more attention to data sovereignty, ...
acm.org

Technical Perspective: Traffic Classification in the Era of Deep Learning

Network traffic classification is a fundamental problem in networking. Given observations of network traffic, the goal is to infer properties of interest, such as what application generated the ...
Frontiers

An Improved Deep Learning Model: S-TextBLCNN for Traditional Chinese Medicine Formula Classification

Purpose: This study proposes an S-TextBLCNN model for the efficacy of traditional Chinese medicine (TCM) formula classification. This model uses deep learning to analyze the relationship between herb ...
Scientific Research Publishing

Basic Tenets of Classification Algorithms K-Nearest-Neighbor, Support Vector Machine, Random Forest and Neural Network: A Review ()

1 Department of Basic Sciences, School of Basic and Biomedical Sciences, University of Health and Allied Sciences, Ho, Ghana. 2 Department of Statistics and Actuarial Science, University of Ghana, ...