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Found 4 papers, 1 papers with code
A benchmark for computational analysis of animal behavior, using animal-borne tags
Animal-borne sensors ('bio-loggers') can record a suite of kinematic and environmental data, which can elucidate animal ecophysiology and improve conservation efforts.
OpenPack: A Large-scale Dataset for Recognizing Packaging Works in IoT-enabled Logistic Environments
To address these challenges and contribute to research on machine recognition of work activities in industrial domains, in this study, we introduce a new large-scale dataset for packaging work recognition called OpenPack.
Using Social Media Background to Improve Cold-start Recommendation Deep Models
In this work, our goal is to investigate whether social media background can be used as extra contextual information to improve recommendation models.
Never Abandon Minorities: Exhaustive Extraction of Bursty Phrases on Microblogs Using Set Cover Problem
We propose a language-independent data-driven method to exhaustively extract bursty phrases of arbitrary forms (e. g., phrases other than simple noun phrases) from microblogs.
