activity
20182022
most citedIntegration of a machine learning model into a decision support tool to predict absenteeism at work of prospective employees

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

collaborators

9 papers

cs.LG20222 cited

Integration of a machine learning model into a decision support tool to predict absenteeism at work of prospective employees

Gopal Nath, Antoine Harfouche, Austin Coursey +3

Purpose - Inefficient hiring may result in lower productivity and higher training costs. Productivity losses caused by absenteeism at work cost U.S. employers billions of dollars e…

cs.LG2021

Remaining Useful Life Estimation of Hard Disk Drives using Bidirectional LSTM Networks

Austin Coursey, Gopal Nath, Srikanth Prabhu +1

Physical and cloud storage services are well-served by functioning and reliable high-volume storage systems. Recent observations point to hard disk reliability as one of the most p…

cs.NE2019

Data-Driven Optimization of Public Transit Schedule

Sanchita Basak, Fangzhou Sun, Saptarshi Sengupta +1

Bus transit systems are the backbone of public transportation in the United States. An important indicator of the quality of service in such infrastructures is on-time performance…

cs.LG20191 cited

A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends

Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia +5

Deep learning has solved a problem that as little as five years ago was thought by many to be intractable - the automatic recognition of patterns in data; and it can do so with acc…

cs.NE2018

Chaotic Quantum Double Delta Swarm Algorithm using Chebyshev Maps: Theoretical Foundations, Performance Analyses and Convergence Issues

Saptarshi Sengupta, Sanchita Basak, Richard Alan Peters

Quantum Double Delta Swarm (QDDS) Algorithm is a new metaheuristic algorithm inspired by the convergence mechanism to the center of potential generated within a single well of a sp…

cs.LG2018

Mechanisms for Integrated Feature Normalization and Remaining Useful Life Estimation Using LSTMs Applied to Hard-Disks

Sanchita Basak, Saptarshi Sengupta, Abhishek Dubey

With emerging smart communities, improving overall system availability is becoming a major concern. In order to improve the reliability of the components in a system we propose an…