Book ChapterDOI
Unsupervised Machine Learning
Umesh R. Hodeghatta,Umesh Nayak +1 more
- pp 161-186
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This chapter explores two important concepts of unsupervised machine learning: clustering and association rules, used to identify hidden patterns in data.Abstract:
This chapter explores two important concepts of unsupervised machine learning: clustering and association rules. Clustering is an unsupervised data-analysis technique used to identify hidden patterns in data. Clustering is also part of exploratory analysis, used to understand data and its properties and to identify any outliers that exist. But primarily it is used for identifying hidden groups in a data set.read more
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Journal ArticleDOI
The ethics of AI in health care: A mapping review.
Jessica Morley,Caio C.V. Machado,Christopher Burr,Josh Cowls,Indra Joshi,Mariarosaria Taddeo,Luciano Floridi +6 more
TL;DR: A mapping review of the literature concerning the ethics of artificial intelligence (AI) in health care finds that ethical issues can be epistemic, normative or traceability-related and at the relevant level of abstraction.
Journal ArticleDOI
The Role of Big Data in the Management of Sleep-Disordered Breathing
TL;DR: To meet the vision of personalized, precision therapeutics and diagnostics and improving the efficiency and quality of sleep medicine will require ongoing efforts, investments, and change in the current medical and research cultures.
Journal ArticleDOI
A closed-loop in-process warping detection system for fused filament fabrication using convolutional neural networks
TL;DR: Deep-learning algorithms are utilizes to develop a warping detection system using Convolutional Neural Networks using real-time data acquisition and analysis pipeline laid out to avoid the adverse effects of warping.
Journal ArticleDOI
Store buildings as tourist attractions: Mining retail meaning of store building pictures through a machine learning approach
Eleonora Pantano,Charles Dennis +1 more
TL;DR: Findings reveal that the store building of a luxury department store is the central object in the majority of pictures within a 1km radius of the store main entrance, which demonstrates the role of store building attractiveness in tourism experience.
Journal ArticleDOI
Modified Vgg Deep Learning Architecture For Covid-19 Classification Using Bio-Medical Images
TL;DR: A standard deep learning architecture, VGGNet, is modified for classifying chest X-ray images under four categories, namely COVID, bacterial, normal, and viral images, and the performance matrices of the planned model are compared with five deep learning architectures.