Efficient signal reconstruction for a broad range of applications

A Asudeh, J Augustine, A Nazi… - ACM SIGMOD …, 2019 - dl.acm.org
The signal reconstruction problem (SRP) is an important optimization problem where the
objective is to identify a solution to an under-determined system of linear equations AX= b …

Shahin: Faster algorithms for generating explanations for multiple predictions

S Hasani, S Thirumuruganathan, N Koudas… - Proceedings of the 2021 …, 2021 - dl.acm.org
Machine learning (ML) models have achieved widespread adoption in the last few years.
Generating concise and accurate explanations often increases user trust and understanding …

Scalable signal reconstruction for a broad range of applications

A Asudeh, J Augustine, S Thirumuruganathan… - Communications of the …, 2021 - dl.acm.org
Signal reconstruction problem (SRP) is an important optimization problem where the
objective is to identify a solution to an underdetermined system of linear equations that is …

[PDF][PDF] Orca-sr: A real-time traffic engineering framework leveraging similarity joins

J Augustine, S Shetiya, A Asudeh… - Proceedings of the …, 2020 - par.nsf.gov
Reconstructing a high dimensional unknown signal, using lower dimensional observations
is a challenging problem, known as signal reconstruction problem (SRP), with diverse …

[图书][B] Generalized Algorithmic Frameworks for Optimizing Distance Calls in Generalized Metric Space Proximity Problems and Methods for Realizing Efficient Signal …

J Augustine - 2020 - search.proquest.com
The exponential rise in data, along with its heterogeneity and complexity, helped individuals,
businesses, hospitals, enterprises and even governments to thrive on data-driven decision …

[图书][B] Efficient Construction and Explanation of Machine Learning Models through Database Techniques

S Hasani - 2020 - search.proquest.com
Abstract Machine learning (ML) has been widely adopted in the last few years and it has had
an undeniable impact on the ways many organizations make decisions. While great …