Results 61 to 70 of about 7,109 (152)
Symbols are not uniquely human [PDF]
, 2006 Modern semiotics is a branch of logics that formally defines symbol-based communication. In recent years, the semiotic classification of signs has been invoked to support the notion that symbols are uniquely human.
Araújo, Ivan +4 more
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Animal sounds can be recognised automatically by machine learning, and this has an important role to play in biodiversity monitoring. Yet despite increasingly impressive capabilities, bioacoustic species classifiers still exhibit imbalanced performance across species and habitats, especially in complex soundscapes.
Ghani, Burooj +5 more
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Age at Immigration and the Education Outcomes of Children [PDF]
The successful acquisition of a language is often characterized in terms of critical periods. If this is the case it is likely that children who migrate face different challenges in attaining high school credentials depending upon their age at ...
Corak, Miles
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Siamese neural networks for few-shot birdsong classification
, 2018 Maestro en Ciencias ...
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Automated birdsong classification is essential for advancing ecological monitoring and biodiversity studies. Despite recent progress, existing methods often depend heavily on labeled data, use limited feature representations, and overlook temporal dynamics essential for accurate species identification.
Rahman, Md. Abdur +4 more
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Classification of birdsong spectrograms based on DR-ACGAN and dynamic convolution
Ecological Informatics, 2023 Yixing Fu +6 more
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A 19-Year-Old Male With Orbital Cellulitis and Abscess Due to Fusobacterium necrophorum With Chronic Aspergillosis Resulting in Orbital Compartment Syndrome. [PDF]
Cureus, 2023 Emard A, Long B, Birdsong S.
europepmc +1 more source
Comparison of machine learning methods applied to birdsong element classification [PDF]
Proceedings of the Python in Science Conference, 2016 openaire +1 more source
Characterizing the spatial structure of songbird cultures [PDF]
, 2008 Laiolo, Paola
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Modeling and Confidence in a System for Automatic Classification of Birdsong
, 2015 It turns out that using a two-state-HMM model structure with appurtenant GMM-based state distributions improves the system performance compared to the use of just GMMs as model structure for each bird specie. Hence, it is reasonable to say that birdsong contains temporary information which HMMs deals with in a better way than GMMs.
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