Taxonomy-aware collaborative denoising autoencoder for personalized recommendation
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DOI: 10.1007/s10489-018-1378-9
Abstract: Taxonomies are ubiquitous in many real-world recommendation scenarios where each item is classified into a category of a predefined hierarchical taxonomy and provide important auxiliary information for inferring user preferences. However, traditional collaborative filtering approaches… read more here.
Keywords: denoising autoencoder; recommendation; information; taxonomy aware ... See more keywords
TEPI: Taxonomy-Aware Embedding and Pseudo-Imaging for Scarcely-Labeled Zero-Shot Genome Classification
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DOI: 10.1109/jbhi.2024.3358842
Abstract: A species' genetic code or genome encodes valuable evolutionary, biological, and phylogenetic information that aids in species recognition, taxonomic classification, and understanding genetic predispositions like drug resistance and virulence. However, the vast number of potential… read more here.
Keywords: classification; pseudo; zero shot; taxonomy aware ... See more keywords
Taxonomy-Aware Continual Semantic Segmentation in Hyperbolic Spaces for Open-World Perception
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DOI: 10.1109/lra.2024.3522790
Abstract: Semantic segmentation models are typically trained on a fixed set of classes, limiting their applicability in open-world scenarios. Class-incremental semantic segmentation aims to update models with emerging new classes while preventing catastrophic forgetting of previously… read more here.
Keywords: segmentation; new classes; taxonomy aware; semantic segmentation ... See more keywords