1 code implementation • 1 Jun 2023 • Mohamed Y. Eltabakh, Mayuresh Kunjir, Ahmed Elmagarmid, Mohammad Shahmeer Ahmad
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.
no code implementations • 24 Jul 2016 • Aarti Sathyanarayana, Shafiq Joty, Luis Fernandez-Luque, Ferda Ofli, Jaideep Srivastava, Ahmed Elmagarmid, Shahrad Taheri, Teresa Arora
In this paper we explore the use of deep learning to build sleep quality prediction models based on actigraphy data.
no code implementations • 17 Jul 2016 • Aarti Sathyanarayana, Ferda Ofli, Luis Fernandes-Luque, Jaideep Srivastava, Ahmed Elmagarmid, Teresa Arora, Shahrad Taheri
Human Activity Recognition (HAR) is a powerful tool for understanding human behaviour.
no code implementations • 4 Aug 2015 • Naman Goel, Divyakant Agrawal, Sanjay Chawla, Ahmed Elmagarmid
We propose a new data-centric synchronization framework for carrying out of machine learning (ML) tasks in a distributed environment.