AIMC Topic: Unsupervised Machine Learning

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Deus ex machina? Demystifying rather than deifying machine learning.

The Journal of thoracic and cardiovascular surgery Mar 11, 2021
Data Mining Diffusion of Innovation Machine Learning Deep Learning Big Data Computational Biology Unsupervised Machine Learning Supervised Machine Learning Humans
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Rapid analysis of streaming platelet images by semi-unsupervised learning.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Mar 11, 2021
We developed a fast and accurate deep learning approach employing a semi-unsupervised learning system (SULS) for capturing the real-time noisy, sparse, and ambiguous images of platelet activation. Outperforming several leading supervised learning met...
Image Processing, Computer-Assisted Unsupervised Machine Learning Blood Platelets
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The Spread of the COVID-19 Outbreak in Brazil: An Overview by Kohonen Self-Organizing Map Networks.

Medicina (Kaunas, Lithuania) Mar 3, 2021
: In the current pandemic scenario, data mining tools are fundamental to evaluate the measures adopted to contain the spread of COVID-19. In this study, unsupervised neural networks of the Self-Organizing Maps (SOM) type were used to assess the spati...
Neural Networks, Computer COVID-19 SARS-CoV-2 Brazil Humans Spatio-Temporal Analysis Unsupervised Machine Learning
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Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks.

Neural networks : the official journal of the International Neural Network Society Feb 25, 2021
Unsupervised anomaly discovery in stream data is a research topic with many practical applications. However, in many cases, it is not easy to collect enough training data with labeled anomalies for supervised learning of an anomaly detector in order ...
Databases, Factual Neural Networks, Computer Unsupervised Machine Learning Algorithms Neurons
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Public Opinions and Concerns Regarding the Canadian Prime Minister's Daily COVID-19 Briefing: Longitudinal Study of YouTube Comments Using Machine Learning Techniques.

Journal of medical Internet research Feb 23, 2021
BACKGROUND: During the COVID-19 pandemic in Canada, Prime Minister Justin Trudeau provided updates on the novel coronavirus and the government's responses to the pandemic in his daily briefings from March 13 to May 22, 2020, delivered on the official...
Canada Longitudinal Studies Social Media SARS-CoV-2 Public Health COVID-19 Vaccines Public Opinion Government Financing, Government Unsupervised Machine Learning Natural Language Processing Quarantine Humans Pandemics COVID-19 Emigration and Immigration Financial Stress Public Policy Federal Government Personal Protective Equipment
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Fast and precise single-cell data analysis using a hierarchical autoencoder.

Nature communications Feb 15, 2021
A primary challenge in single-cell RNA sequencing (scRNA-seq) studies comes from the massive amount of data and the excess noise level. To address this challenge, we introduce an analysis framework, named single-cell Decomposition using Hierarchical ...
Visual Cortex Sequence Analysis, RNA Bayes Theorem Liver Zygote Lung Benchmarking Unsupervised Machine Learning Cell Separation Cerebellum Single-Cell Analysis Retina Mouse Embryonic Stem Cells Embryo, Mammalian Pancreas Mice Humans Neural Networks, Computer Animals
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Unsupervised manifold learning of collective behavior.

PLoS computational biology Feb 12, 2021
Collective behavior is an emergent property of numerous complex systems, from financial markets to cancer cells to predator-prey ecological systems. Characterizing modes of collective behavior is often done through human observation, training generat...
Behavior Social Behavior Systems Analysis Synthetic Biology Behavior, Animal Models, Psychological Unsupervised Machine Learning Models, Biological Fishes Humans Animals Ecosystem Computational Biology Systems Biology
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Unsupervised Cross Domain Person Re-Identification by Multi-Loss Optimization Learning.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Feb 12, 2021
Unsupervised cross domain (UCD) person re-identification (re-ID) aims to apply a model trained on a labeled source domain to an unlabeled target domain. It faces huge challenges as the identities have no overlap between these two domains. At present,...
Algorithms Unsupervised Machine Learning Humans Databases, Factual Video Recording Image Processing, Computer-Assisted Biometric Identification
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Complementary Pseudo Labels for Unsupervised Domain Adaptation On Person Re-Identification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Feb 12, 2021
In recent years, supervised person re-identification (re-ID) models have received increasing studies. However, these models trained on the source domain always suffer dramatic performance drop when tested on an unseen domain. Existing methods are pri...
Image Processing, Computer-Assisted Unsupervised Machine Learning Pedestrians Humans Biometric Identification Algorithms Databases, Factual
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Unsupervised learning of Swiss population spatial distribution.

PloS one Feb 11, 2021
The paper deals with the analysis of spatial distribution of Swiss population using fractal concepts and unsupervised learning algorithms. The research methodology is based on the development of a high dimensional feature space by calculating local g...
Human Migration Humans Population Density Unsupervised Machine Learning Switzerland
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