Unsupervised identification of the internal states that shape natural behavior
Sign Up to like & getrecommendations! Published in 2019 at "Nature Neuroscience"
DOI: 10.1038/s41593-019-0533-x
Abstract: Internal states shape stimulus responses and decision-making, but we lack methods to identify them. To address this gap, we developed an unsupervised method to identify internal states from behavioral data and applied it to a… read more here.
Keywords: states shape; unsupervised identification; identification internal; shape natural ... See more keywords
A Scoring Framework for the Unsupervised Identification of the Relevance of Metrics in Cell Degradation Clusters
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DOI: 10.1109/lcomm.2024.3411768
Abstract: The complexity of cellular networks makes them difficult to manage and prone to failures. This has led to the application of artificial intelligence mechanisms for failure management tasks. Nevertheless, the availability of labeled data on… read more here.
Keywords: framework; identification relevance; unsupervised identification; framework unsupervised ... See more keywords
Unsupervised Identification of Surgical Robotic Actions From Small Homogeneous Datasets
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2021.3104880
Abstract: Robot-assisted surgery is an established clinical practice. The automatic identification of surgical actions is needed for a range of applications, including performance assessment of trainees and surgical process modeling for autonomous execution and monitoring. However,… read more here.
Keywords: identification surgical; surgical robotic; unsupervised identification; actions small ... See more keywords