학술논문

Towards a More Extensible Machine Learning Demonstration Tool
Document Type
Conference
Source
2023 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) Signal Processing in Medicine and Biology Symposium (SPMB), 2023 IEEE. :1-5 Dec, 2023
Subject
Bioengineering
Signal Processing and Analysis
Java
Machine learning algorithms
Signal processing algorithms
Machine learning
Information processing
Signal processing
Biology
Language
ISSN
2473-716X
Abstract
The Institute of Signal and Information Processing (ISIP) Machine Learning Demo (IMLD) is an educational tool designed to introduce the basics of machine learning through an easy-to-use graphical user interface (GUI) [1]. IMLD was first developed as part of a suite of Java applets in the late-1990’s when Java applets were envisioned as the future of interactive computing [2]–[4]. IMLD visualizes the performance and results of various machine learning algorithms and techniques in a simple, intuitive GUI. A typical IMLD screen is shown in Figure 1. This paper introduces the recent enhancements to IMLD, which now hosts many new customizations, where its adaptability allows users to access more complex machine learning algorithms and the ability to implement their own algorithms as needed. IMLD provides benefits to the realm of medical signal processing as users are exposed to machine learning and the benefits that it provides in classifying data through various algorithms.