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

Deep Learning Classification of 3.5-GHz Band Spectrograms With Applications to Spectrum Sensing

Abstract: In the United States, the Federal Communications Commission has adopted rules permitting commercial wireless networks to share spectrum with federal incumbents in the 3.5-GHz Citizens ...
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, ...
Visual Studio Magazine

Binary Classification Using a scikit Decision Tree

There are many other techniques for binary classification, but using a decision tree is very common and the technique is considered a fundamental machine learning skill for data scientists. There are ...
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 ...
Visual Studio Magazine

Binary Classification Using PyTorch, Part 1: New Best Practices

Because machine learning with deep neural techniques has advanced quickly, our resident data scientist updates binary classification techniques and best practices based on experience over the past two ...
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 ...
Computer Weekly

Data classification: What it is and why you need it

CIOs and IT directors working on any project that involves data in any way are always more likely to succeed when the organisation has a clear view of the data it holds. Increasingly, organisations ...