activity
20132021
most citedSimultaneous Perturbation Methods for Adaptive Labor Staffing in Service Systems

1 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2021

Towards API Testing Across Cloud and Edge

Samuel Ackerman, Sanjib Choudhury, Nirmit Desai +5

API economy is driving the digital transformation of business applications across the hybrid Cloud and edge environments. For such transformations to succeed, end-to-end testing of…

cs.SD2021★ 1 cited

Environment Transfer for Distributed Systems

Chunheng Jiang, Jae-wook Ahn, Nirmit Desai

Collecting sufficient amount of data that can represent various acoustic environmental attributes is a critical problem for distributed acoustic machine learning. Several audio dat…

cs.CL2020★ 1 cited

SEEC: Semantic Vector Federation across Edge Computing Environments

Shalisha Witherspoon, Dean Steuer, Graham Bent +1

Semantic vector embedding techniques have proven useful in learning semantic representations of data across multiple domains. A key application enabled by such techniques is the ab…

cs.LG2019

neuralRank: Searching and ranking ANN-based model repositories

Nirmit Desai, Linsong Chu, Raghu K. Ganti +2

Widespread applications of deep learning have led to a plethora of pre-trained neural network models for common tasks. Such models are often adapted from other models via transfer…

eess.SY2013★ 1 cited

Simultaneous Perturbation Methods for Adaptive Labor Staffing in Service Systems

L. A. Prashanth, H. L. Prasad, Nirmit Desai +2

Service systems are labor intensive due to the large variation in the tasks required to address service requests from multiple customers. Aligning the staffing levels to the foreca…