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Found 4 papers, 1 papers with code
Cross Modal Data Discovery over Structured and Unstructured Data Lakes
Despite the recent efforts in data discovery, the problem remains widely open especially in the two fronts of (1) discovering relationships and relatedness across structured and unstructured datasets where existing techniques suffer from either scalability, being customized for a specific problem type (e. g., entity matching or data integration), or demolishing the structural properties on its way, and (2) developing a holistic system for integrating various similarity measurements and sketches in an effective way to boost the discovery accuracy.
Impact of Physical Activity on Sleep:A Deep Learning Based Exploration
In this paper we explore the use of deep learning to build sleep quality prediction models based on actigraphy data.
Robust Automated Human Activity Recognition and its Application to Sleep Research
Human Activity Recognition (HAR) is a powerful tool for understanding human behaviour.
Parameter Database : Data-centric Synchronization for Scalable Machine Learning
We propose a new data-centric synchronization framework for carrying out of machine learning (ML) tasks in a distributed environment.
