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MathWorks Inc matlab-based highly comparative time series analysis (hctsa) toolbox
The hierarchical classification approach. Features from trills, phees, and food calls were extracted using <t>HCTSA.</t> These features were used to train AdaBoost to first classify calls based on sex and then individual identities. The oval denotes start, parallelograms inputs/outputs, rectangles processes, and the diamond a decision.
Matlab Based 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
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MathWorks Inc highly comparative time-series analysis code toolbox
The hierarchical classification approach. Features from trills, phees, and food calls were extracted using <t>HCTSA.</t> These features were used to train AdaBoost to first classify calls based on sex and then individual identities. The oval denotes start, parallelograms inputs/outputs, rectangles processes, and the diamond a decision.
Highly Comparative Time Series Analysis Code 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
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The hierarchical classification approach. Features from trills, phees, and food calls were extracted using <t>HCTSA.</t> These features were used to train AdaBoost to first classify calls based on sex and then individual identities. The oval denotes start, parallelograms inputs/outputs, rectangles processes, and the diamond a decision.
Hctsa Matlab Software, 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
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The hierarchical classification approach. Features from trills, phees, and food calls were extracted using <t>HCTSA.</t> These features were used to train AdaBoost to first classify calls based on sex and then individual identities. The oval denotes start, parallelograms inputs/outputs, rectangles processes, and the diamond a decision.
Hctsa Software Tool, 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
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MathWorks Inc highly comparable time series analysis toolbox v0.98
The hierarchical classification approach. Features from trills, phees, and food calls were extracted using <t>HCTSA.</t> These features were used to train AdaBoost to first classify calls based on sex and then individual identities. The oval denotes start, parallelograms inputs/outputs, rectangles processes, and the diamond a decision.
Highly Comparable Time Series Analysis Toolbox V0.98, 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
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MathWorks Inc parametric mapping spm toolbox in matlab
The hierarchical classification approach. Features from trills, phees, and food calls were extracted using <t>HCTSA.</t> These features were used to train AdaBoost to first classify calls based on sex and then individual identities. The oval denotes start, parallelograms inputs/outputs, rectangles processes, and the diamond a decision.
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MathWorks Inc highly comparative time-series analysis (hctsa) toolbox
The hierarchical classification approach. Features from trills, phees, and food calls were extracted using <t>HCTSA.</t> These features were used to train AdaBoost to first classify calls based on sex and then individual identities. The oval denotes start, parallelograms inputs/outputs, rectangles processes, and the diamond a decision.
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
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Timex Corporation time-averaged images
The hierarchical classification approach. Features from trills, phees, and food calls were extracted using <t>HCTSA.</t> These features were used to train AdaBoost to first classify calls based on sex and then individual identities. The oval denotes start, parallelograms inputs/outputs, rectangles processes, and the diamond a decision.
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RStudio software rstudio
The hierarchical classification approach. Features from trills, phees, and food calls were extracted using <t>HCTSA.</t> These features were used to train AdaBoost to first classify calls based on sex and then individual identities. The oval denotes start, parallelograms inputs/outputs, rectangles processes, and the diamond a decision.
Software Rstudio, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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SYSTAT systat, inc., statistics, version 5.2
The hierarchical classification approach. Features from trills, phees, and food calls were extracted using <t>HCTSA.</t> These features were used to train AdaBoost to first classify calls based on sex and then individual identities. The oval denotes start, parallelograms inputs/outputs, rectangles processes, and the diamond a decision.
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CH Instruments chi-square periodogram
The hierarchical classification approach. Features from trills, phees, and food calls were extracted using <t>HCTSA.</t> These features were used to train AdaBoost to first classify calls based on sex and then individual identities. The oval denotes start, parallelograms inputs/outputs, rectangles processes, and the diamond a decision.
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Image Search Results


The hierarchical classification approach. Features from trills, phees, and food calls were extracted using HCTSA. These features were used to train AdaBoost to first classify calls based on sex and then individual identities. The oval denotes start, parallelograms inputs/outputs, rectangles processes, and the diamond a decision.

Journal: Journal of the Royal Society Interface

Article Title: Who is calling? Optimizing source identification from marmoset vocalizations with hierarchical machine learning classifiers

doi: 10.1098/rsif.2023.0399

Figure Lengend Snippet: The hierarchical classification approach. Features from trills, phees, and food calls were extracted using HCTSA. These features were used to train AdaBoost to first classify calls based on sex and then individual identities. The oval denotes start, parallelograms inputs/outputs, rectangles processes, and the diamond a decision.

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.

Techniques: