Early Prediction of Movie Success - What, Who, and When. - Michael T. Lash; Sunyang Fu; Shiyao Wang; Kang Zhao 001 (SBP, 2015)

Realistic risk-mitigating recommendations via inverse classification. - Michael T. Lash; W. Nick Street (CoRR, 2016)

Early Predictions of Movie Success: The Who, What, and When of Profitability. - Michael T. Lash; Kang Zhao 001 (J. Manag. Inf. Syst., 2016)

Learning rich geographical representations: Predicting colorectal cancer survival in the state of Iowa. - Michael T. Lash; Yuqi Sun; Xun Zhou 001; Charles F. Lynch; W. Nick Street (BIBM, 2017)

A Budget-Constrained Inverse Classification Framework for Smooth Classifiers. - Michael T. Lash; Qihang Lin; W. Nick Street; Jennifer G. Robinson (ICDM Workshops, 2017)

A Large-Scale Exploration of Factors Affecting Hand Hygiene Compliance Using Linear Predictive Models. - Michael T. Lash; Jason Slater; Philip M. Polgreen; Alberto M. Segre (ICHI, 2017)

Generalized Inverse Classification. - Michael T. Lash; Qihang Lin; W. Nick Street; Jennifer G. Robinson; Jeffrey W. Ohlmann (SDM, 2017)

Prophit: Causal inverse classification for multiple continuously valued treatment policies. - Michael T. Lash; Qihang Lin; W. Nick Street (CoRR, 2018)

Deriving enhanced geographical representations via similarity-based spectral analysis: predicting colorectal cancer survival curves in Iowa. - Michael T. Lash; Min Zhang 005; Xun Zhou 001; W. Nick Street; Charles F. Lynch (Int. J. Data Min. Bioinform., 2018)

21 Million Opportunities: a 19 Facility Investigation of Factors Affecting Hand-Hygiene Compliance via Linear Predictive Models. - Michael T. Lash; Jason Slater; Philip M. Polgreen; Alberto M. Segre (J. Heal. Informatics Res., 2019)

Personalized Cardiovascular Disease Risk Mitigation via Longitudinal Inverse Classification. - Michael T. Lash; W. Nick Street (BIBM, 2020)

Optimal sepsis patient treatment using human-in-the-loop artificial intelligence. - Akash Gupta; Michael T. Lash; Senthil K. Nachimuthu (Expert Syst. Appl., 2021)

HEX: Human-in-the-loop explainability via deep reinforcement learning. - Michael T. Lash (Decis. Support Syst., 2024)

Impact of the COVID-19 pandemic on the stock market and investor online word of mouth. - Xiaorui Zhu; Shaobo Li 006; Karthik Srinivasan; Michael T. Lash (Decis. Support Syst., 2024)

The third party logistics provider freight management problem: a framework and deep reinforcement learning approach. - Amin Abbasi-Pooya; Michael T. Lash (Ann. Oper. Res., 2024)