Shawn Mankad

Orcid: 0000-0001-7945-8556

According to our database1, Shawn Mankad authored at least 19 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
Evidence of the Unintended Labor Scheduling Implications of the Minimum Wage.
Manuf. Serv. Oper. Manag., September, 2023

Protecting the anonymity of online users through Bayesian data synthesis.
Expert Syst. Appl., April, 2023

2022
Monitoring sparse and attributed networks with online Hurdle models.
IISE Trans., 2022

CP-Squared: A method for change point detection in core-periphery networks.
Expert Syst. Appl., 2022

2021
Service Quality Using Text Mining: Measurement and Consequences.
Manuf. Serv. Oper. Manag., 2021

2019
A for Effort? Using the Crowd to Identify Moral Hazard in New York City Restaurant Hygiene Inspections.
Inf. Syst. Res., 2019

An Online Semi-NMF Algorithm for Soft-Clustering of Financial Institutions.
Proceedings of the 5th Workshop on Data Science for Macro-modeling with Financial and Economic Datasets, 2019

2017
Balance Sheet Driven Probability Factorization for Inferring Bank Holdings: Extended Abstract.
Proceedings of the 3rd International Workshop on Data Science for Macro-Modeling with Financial and Economic Datasets, 2017

2016
Measuring Influence of Users in Twitter Ecosystems Using a Counting Process Modeling Framework.
Technometrics, 2016

Computational and Empirical Studies Predict Mycobacterium tuberculosis-Specific T Cells as a Biomarker for Infection Outcome.
PLoS Comput. Biol., 2016

Single Stage Prediction with Online Reviews for Mobile App Development and Management.
CoRR, 2016

2015
Two-Stage Plans for Estimating the Inverse of a Monotone Function.
Technometrics, 2015

Analysis of Multiview Legislative Networks with Structured Matrix Factorization: Does Twitter Influence Translate to the Real World?
CoRR, 2015

2014
Measuring Influence in Twitter Ecosystems using a Counting Process Modeling Framework.
CoRR, 2014

Visual Analytics for Network-Based Market Surveillance.
Proceedings of the International Workshop on Data Science for Macro-Modeling, 2014

Do U.S. Regulators Listen to the Public? Testing the Regulatory Process with the RegRank Algorithm.
Proceedings of the International Workshop on Data Science for Macro-Modeling, 2014

2013
Structural and Functional Discovery in Dynamic Networks with Non-negative Matrix Factorization
CoRR, 2013

Discovering the ecosystem of an electronic financial market with a dynamic machine-learning method.
Algorithmic Finance, 2013

Discovery of path-important nodes using structured semi-nonnegative matrix factorization.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013


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