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IEEE Transactions on Information Forensics and Security, 2019
Being one of the most multifaceted cyber-physical systems, smart grids (SGs) are arguably more prone to cyber-threats. A covert data integrity assault (CDIA) on a communications network may be lethal to the reliability and safety of SG operations.
Saeed Ahmed +3 more
semanticscholar +1 more source
Being one of the most multifaceted cyber-physical systems, smart grids (SGs) are arguably more prone to cyber-threats. A covert data integrity assault (CDIA) on a communications network may be lethal to the reliability and safety of SG operations.
Saeed Ahmed +3 more
semanticscholar +1 more source
Semi-Supervised and Unsupervised Extreme Learning Machines
IEEE Transactions on Cybernetics, 2014Extreme learning machines (ELMs) have proven to be efficient and effective learning mechanisms for pattern classification and regression. However, ELMs are primarily applied to supervised learning problems. Only a few existing research papers have used ELMs to explore unlabeled data.
Gao, Huang +3 more
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Machine Learning (Unsupervised)
2019We live in the age of data. This data is emanating from a variety of natural phenomena, captured by different types of sensors, generated by different business processes, or resulting from individual or collective behavior of people or systems. This observed sample data (e.g., the falling of the apple) contains a view of reality (e.g., the laws of ...
openaire +1 more source
Bot detection using unsupervised machine learning
Microsystem Technologies, 2016This research focuses on bot detection through implementation of techniques such as traffic analysis, unsupervised machine learning, and similarity analysis between benign traffic data and bot traffic data. In this study, we tested and experimented with different clustering algorithms and recorded their accuracy with our prepared datasets.
Wei Wu +3 more
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Unsupervised machine learning methods and emerging applications in healthcare
Knee Surgery, Sports Traumatology, Arthroscopy, 2022C. Eckhardt +6 more
semanticscholar +1 more source
Lessons from infant learning for unsupervised machine learning
Nature Machine Intelligence, 2022L. Zaadnoordijk +2 more
semanticscholar +1 more source
Unsupervised Machine Learning and Beyond Machine Learning
2023Keisuke Takahashi, Lauren Takahashi
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Unsupervised Learning Methods for Molecular Simulation Data
Chemical Reviews, 2021Aldo Glielmo +2 more
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