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Professor of Mathematics and Economics
Faculty Suite J, Room 124
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John Quinn is a Professor of Mathematics at Â鶹ӰÒô and has been teaching there since 1991. Prior to teaching, Professor Quinn was a mechanical engineer at the Naval Underwater Systems Center (now the Naval Undersea Warfare Center) in Newport, R.I. He received his Sc.B. degree from Brown University in 1978, and his M.S. and Ph.D. degrees from Harvard University in 1987 and 1991, respectively. Professor Quinn has had articles published in multiple areas. He has done previous research in mathematical programming methods and computable general equilibrium models in economics. He currently does research in data mining applications, predictive modeling of rare events and simulation models.
Ph D, Harvard University
SM, Harvard University
BS, Brown University
Quinn, C. J.,Quinn, M. J.,Olinsky, A.,Quinn, J., How Information Spreads in Online Social Networks, Emerald Group Publishing, 2016.
Hartl, T.,Quinn, J.,Kennedy, K., Timely Curriculum Changes to an Undergraduate Actuarial Program, Society of Sciences and Education.
Lamere, A. T.,Nguyen, S.,Niu, G.,Olinsky, A.,Quinn, J., Predicting the length of stay in hospital emergency rooms in Rhode Island, Emerald Publishing Limited.
Mehra, A.,Nguyen, S.,Quinn, J. T.,Olinsky, A., The performances of the triangle SMOTE and its variants in imbalanced classification, Emerald Publishing.
Nguyen, S.,Lamere, A. T.,Olinsky, A.,Quinn, J., The Effects of Sampling Methods on Machine Learning Models for Predicting Long-term Length of Stay: A Case Study of Rhode Island Hospitals, International Journal of Rough Sets and Data Analysis (IJRSDA)/IGI Publishing.
Nguyen, S.,Quinn, J.,Olinsky, A.,Schumacher, P., Effects of resampling techniques on imbalanced data classification: A new under-resampling method, International Journal of Data Analysis Techniques and Strategies / Inderscience Publishers.
Nguyen, S.,Schumacher, P.,Olinsky, A.,Quinn, J., Effects of resampling techniques on imbalanced data classification: A new under-resampling method , Emerald Publishing Limited.
Niu, G.,Vadiveloo, J.,Quinn, J., Skill-based Call Center Agent Allocation Optimization, Asia-pacific Journal of Operational Research.
Steeves, M.,Nguyen, S.,Quinn, J.,Olinsky, A., The Predictive Power of Investor Sentiment on U.S. Equity Market Performance, Emerald Publishing Limited.
Cardarelli, R.,Nguyen, S.,Gorvett, R.,Quinn, J., Effective Bankruptcy Prediction Models for North American Companies, IGI Global, 2023.
Niu, G.,Bishop, J.,Quinn, J., Quantitative Comparison of US Private Employers’ Defined Benefit Plans, Journal of Financial Counseling and Planning/Springer Publishing, 2022.
Nguyen, S.,Quinn, M. J.,Olinsky, A.,Quinn, J., Comparing Deep Neural Networks and Gradient Boosting for Pneumonia Detection Using Chest X-Rays, IGI Global, 2022.
Bonas, M.,Nguyen, S.,Olinsky, A.,Quinn, J.,Schumacher, P., A Method to Determine the Size of the Resampled Data in Imbalanced Classification, Information Age Publishing, 2020.
Nguyen, S.,Niu, G.,Quinn, J.,Olinsky, A.,Ormsbee, J.,Smith, R.,Bishop, J.,, ., Detecting non-injured passengers and drivers in car accident: A new under-resampling method for imbalanced classification, Emerald Group Publishing, 2019.
Nguyen, S.,Olinsky, A.,Quinn, J.,Schumacher, P., Predictive Modeling for Imbalanced Big Data in SAS Enterprise Miner and R, International Journal of Fog Computing (IJFC)/IGI Publishing, 2018.
Nguyen, S.,Quinn, J.,Olinsky, A., An oversampling technique for classifying imbalanced datasets, Emerald Group Publishing Limited, 2018.
Olinsky, A.,Quinn, J.,Schumacher, P., Visualization of Predictive Modeling for Big Data using Various Approaches when there are Rare Events at Differing Levels, IGI Global, 2018.
Quinn, C.,Quinn, M.,Olinsky, A.,Quinn, J., Issues and Methods for Access, Storage, and Analysis of Data from Online Social Communities., IGI Global, 2018.
Quinn, J.,Schumacher, P.,Olinsky, A., Medicare Charges and Payments: Data Analysis, Benford’s Law and Imputation of Missing Data, Case Studies in Business, Industry, and Government Statistics (CSBIGS) , 2016.
Schumacher, P.,Quinn, J.,Olinsky, A., An Expanded Assessment of Data Mining Approaches for Analyzing Actuarial Student Success Rate, International Journal of Business Analytics (IGI Global), 2016.
Quinn, J.,Olinsky, A.,Schumacher, P.,Smith, R., Cluster Analysis and Persistence in College Majors, Journal of Applied Research in Higher Education, Emerald Group Publishing, 2015.
Quinn, J.,Schumacher, P.,Olinsky, A., BENFORD’S LAW AND IMPUTATION OF MISSING DATA, NEDSI 2014, 2014.
Kennedy, K.,Salzillo, M.,Olinsky, A.,Quinn, J., Forecasting Patient Volume for a Large Hospital System: A Comparison of the Periodicity of Time Series Data and Forecasting Approaches., Emerald Group Publishing Limited, 2013.
Olinsky, A.,Schumacher, P.,Quinn, J., Assessing Data Mining Approaches for Analyzing Actuarial Student Success Rate, Refereed Book Chapter reprinted in new volume/publication, 2013.
Olinsky, A.,Schumacher, P.,Quinn, J., The Importance of Teaching Power in Statistical Hypothesis Testing, International Journal for Mathematics Teaching and Learning, 2012.
Bishop, J.,Smith, R.,Quinn, J., The Stock Market and Presidential Election Polling – A Statistical Analysis, European Journal of Social Sciences, 2012.
Bryant Merit Award, 2024
Mentor of the Year Award 2023-2024, 2024
Distinguished Faculty Award , 2023
American Economic Association
American Statistical Association
Kappa Mu Epsilon
Mu Sigma Rho
Tau Beta Pi Honor Society
Professor of Mathematics and Economics
Faculty Suite J, Room 124