Michael T. Lash

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 22

Top Topics

Colorectal Cancer

Factors Affecting

Science Fiction

Linear Predictive

Top Venues

Decis. Support Syst.

Publications

Xiaorui Zhu, Shaobo Li, Karthik Srinivasan, Michael T. Lash
Impact of the COVID-19 pandemic on the stock market and investor online word of mouth. Decis. Support Syst. 176 (2024)
Amin Abbasi-Pooya, Michael T. Lash
The third party logistics provider freight management problem: a framework and deep reinforcement learning approach. Ann. Oper. Res. 339 (1-2) (2024)
Michael T. Lash
HEX: Human-in-the-loop Explainability via Deep Reinforcement Learning. CoRR (2022)
Akash Gupta, Michael T. Lash, Senthil K. Nachimuthu
Optimal sepsis patient treatment using human-in-the-loop artificial intelligence. Expert Syst. Appl. 169 (2021)
Michael T. Lash, W. Nick Street
Personalized Cardiovascular Disease Risk Mitigation via Longitudinal Inverse Classification. CoRR (2020)
Akash Gupta, Michael T. Lash, Senthil K. Nachimuthu
Optimal Sepsis Patient Treatment using Human-in-the-loop Artificial Intelligence. CoRR (2020)
Michael T. Lash, W. Nick Street
Personalized Cardiovascular Disease Risk Mitigation via Longitudinal Inverse Classification. BIBM (2020)
Michael T. Lash, Jason Slater, Philip M. Polgreen, Alberto M. Segre
21 Million Opportunities: a 19 Facility Investigation of Factors Affecting Hand-Hygiene Compliance via Linear Predictive Models. J. Heal. Informatics Res. 3 (4) (2019)
Michael T. Lash, Min Zhang, Xun Zhou, W. Nick Street, Charles F. Lynch
Deriving Enhanced Geographical Representations via Similarity-based Spectral Analysis: Predicting Colorectal Cancer Survival Curves in Iowa. CoRR (2018)
Michael T. Lash, Qihang Lin, W. Nick Street
Prophit: Causal inverse classification for multiple continuously valued treatment policies. CoRR (2018)
Michael T. Lash, Min Zhang, Xun Zhou, W. Nick Street, Charles F. Lynch
Deriving enhanced geographical representations via similarity-based spectral analysis: predicting colorectal cancer survival curves in Iowa. Int. J. Data Min. Bioinform. 21 (3) (2018)
Michael T. Lash, Jason Slater, Philip M. Polgreen, Alberto M. Segre
21 Million Opportunities: A 19 Facility Investigation of Factors Affecting Hand Hygiene Compliance via Linear Predictive Models. CoRR (2018)
Michael T. Lash, Qihang Lin, W. Nick Street, Jennifer G. Robinson, Jeffrey W. Ohlmann
Generalized Inverse Classification. SDM (2017)
Michael T. Lash, Yuqi Sun, Xun Zhou, Charles F. Lynch, W. Nick Street
Learning Rich Geographical Representations: Predicting Colorectal Cancer Survival in the State of Iowa. CoRR (2017)
Michael T. Lash, Jason Slater, Philip M. Polgreen, Alberto M. Segre
A Large-Scale Exploration of Factors Affecting Hand Hygiene Compliance Using Linear Predictive Models. CoRR (2017)
Michael T. Lash, Qihang Lin, W. Nick Street, Jennifer G. Robinson
A Budget-Constrained Inverse Classification Framework for Smooth Classifiers. ICDM Workshops (2017)
Michael T. Lash, Yuqi Sun, Xun Zhou, Charles F. Lynch, W. Nick Street
Learning rich geographical representations: Predicting colorectal cancer survival in the state of Iowa. BIBM (2017)
Michael T. Lash, Jason Slater, Philip M. Polgreen, Alberto M. Segre
A Large-Scale Exploration of Factors Affecting Hand Hygiene Compliance Using Linear Predictive Models. ICHI (2017)
Michael T. Lash, Qihang Lin, W. Nick Street, Jennifer G. Robinson, Jeffrey W. Ohlmann
Generalized Inverse Classification. CoRR (2016)
Michael T. Lash, Qihang Lin, W. Nick Street, Jennifer G. Robinson
A budget-constrained inverse classification framework for smooth classifiers. CoRR (2016)
Michael T. Lash, Kang Zhao
Early Predictions of Movie Success: The Who, What, and When of Profitability. J. Manag. Inf. Syst. 33 (3) (2016)
Michael T. Lash, W. Nick Street
Realistic risk-mitigating recommendations via inverse classification. CoRR (2016)
Michael T. Lash, Kang Zhao
Early Predictions of Movie Success: the Who, What, and When of Profitability. CoRR (2015)
Michael T. Lash, Sunyang Fu, Shiyao Wang, Kang Zhao
Early Prediction of Movie Success - What, Who, and When. SBP (2015)