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highly comparative time-series analysis (hctsa) toolbox  (MathWorks Inc)


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    MathWorks Inc highly comparative time-series analysis (hctsa) toolbox
    Highly Comparative Time Series Analysis (Hctsa) Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/highly+comparative+time-series+analysis+(hctsa)+toolbox/pm37752115-363-7-13
    Average 90 stars, based on 1 article reviews
    highly comparative time-series analysis (hctsa) toolbox - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: A study on the impact of the users’ characteristics on the performance of wearable fall detection systems
    Article Snippet: In any case, as the selection of these 12 features may still seem arbitrary, we also consider, as an alternative set of features to feed the algorithms, those extracted by the hctsa (highly comparative time-series analysis) MATLAB software package . hctsa library analyzes thousands (7700) of candidate features from univariate time-series to produce a low-dimensional representation of the data .

    Article Title: Neurophysiological signatures of cortical micro-architecture.
    Article Snippet: Time-series analysis was performed using the highly comparative time-series analysis (hctsa) toolbox v1.07 (Matlab).

    Article Title: Who is calling? Optimizing source identification from marmoset vocalizations with hierarchical machine learning classifiers
    Article Snippet: For feature extraction, the MATLAB-based highly comparative time series analysis (HCTSA) [ ] toolbox provides an architecture to extract over 7700 features from every call, and we implemented this for marmoset calls.

    Article Title: A Study of One-Class Classification Algorithms for Wearable Fall Sensors
    Article Snippet: As the election of these input feature sets can still seem arbitrary, we also consider another set of features obtained from the hctsa (Highly Comparative Time-Series Analysis) Matlab software package [ ].

    Article Title: Who is calling? Optimizing source identification from marmoset vocalizations with hierarchical machine learning classifiers.
    Article Snippet: For feature extraction, the MATLAB-based highly comparative time series analysis (HCTSA) [27] toolbox provides an architecture to extract over 7700 features from every call, and we implemented this for marmoset calls.



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