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How validation methodology influences human activity recognition mobile systems
In this article, we introduce explainable methods to understand how Human Activity
Recognition (HAR) mobile systems perform based on the chosen validation strategies. Our …
Recognition (HAR) mobile systems perform based on the chosen validation strategies. Our …
Bioacoustic signal classification in continuous recordings: Syllable-segmentation vs sliding-window
Frog population has been experiencing rapid decreases worldwide, which is regarded as
one of the most critical threats to the global biodiversity. Therefore, large volumes of frog …
one of the most critical threats to the global biodiversity. Therefore, large volumes of frog …
[HTML][HTML] From theory to practice: A data quality framework for classification tasks
The data preprocessing is an essential step in knowledge discovery projects. The experts
affirm that preprocessing tasks take between 50% to 70% of the total time of the knowledge …
affirm that preprocessing tasks take between 50% to 70% of the total time of the knowledge …
Pattern analysis based acoustic signal processing: a survey of the state-of-art
Audio signal processing is the most challenging field in the current era for an analysis of an
audio signal. Audio signal classification (ASC) comprises of generating appropriate features …
audio signal. Audio signal classification (ASC) comprises of generating appropriate features …
Easy variational inference for categorical models via an independent binary approximation
We pursue tractable Bayesian analysis of generalized linear models (GLMs) for categorical
data. GLMs have been difficult to scale to more than a few dozen categories due to non …
data. GLMs have been difficult to scale to more than a few dozen categories due to non …
Mutual singular spectrum analysis for bioacoustics classification
Bioacoustics signals classification is an important instrument used in environmental
monitoring as it gives the means to efficiently acquire information from the areas, which most …
monitoring as it gives the means to efficiently acquire information from the areas, which most …
A comparison of hierarchical multi-output recognition approaches for anuran classification
In bioacoustic recognition approaches, a “flat” classifier is usually trained to recognize
several species of anurans, where the number of classes is equal to the number of species …
several species of anurans, where the number of classes is equal to the number of species …
Signal conditioning for learning in the wild
The mammalian olfactory system learns rapidly from very few examples, presented in
unpredictable online sequences, and then recognizes these learned odors under conditions …
unpredictable online sequences, and then recognizes these learned odors under conditions …
Unsupervised selection of the singular spectrum components based on information theory for bioacoustic signal filtering
In this work, we present a comprehensive study of Singular Spectrum Analysis (SSA)
applied to bioacoustics signal enhancement. The SSA method decomposes the signal into …
applied to bioacoustics signal enhancement. The SSA method decomposes the signal into …
Discriminative singular spectrum classifier with applications on bioacoustic signal recognition
Automatic analysis of bioacoustic signals is a fundamental tool to evaluate the vitality of our
planet. Frogs and bees, for instance, may act like biological sensors providing information …
planet. Frogs and bees, for instance, may act like biological sensors providing information …