Researchers develop new 'emotionally aware' model for classifying mental health conditions

Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...
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, ...
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, ...
The New York Times

Artificial Intelligence Glossary: Neural Networks and Other Terms Explained

The concepts and jargon you need to understand ChatGPT. By Adam Pasick We’ve compiled a list of phrases and concepts useful to understanding artificial intelligence, in particular the new breed of A.I ...
Visual Studio Magazine

Multi-Class Classification Using a scikit Decision Tree

Decision trees are useful for relatively small datasets that have a relatively simple underlying structure, and when the trained model must be easily interpretable, explains Dr. James McCaffrey of ...
Brennan Center for Justice

The Original Sin Is We Classify Too Much

This article first appeared in The Nation. With a sitting president, a former president, and a former vice president now implicated in the mishandling of classified information, the classification ...
Scientific Research Publishing

Multi-Label Chest X-Ray Classification via Deep Learning ()

In this era of pandemic, the future of healthcare industry has never been more exciting. Artificial intelligence and machine learning (AI & ML) present opportunities to develop solutions that cater ...