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2020 – today
- 2024
[j7]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): 965-1024 (2024)- [j6]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: 114074 (2024) - [j5]Michael T. Lash:
HEX: Human-in-the-loop explainability via deep reinforcement learning. Decis. Support Syst. 187: 114304 (2024) - 2022
- [i12]Michael T. Lash:
HEX: Human-in-the-loop Explainability via Deep Reinforcement Learning. CoRR abs/2206.01343 (2022) - 2021
- [j4]Akash Gupta, Michael T. Lash, Senthil K. Nachimuthu:
Optimal sepsis patient treatment using human-in-the-loop artificial intelligence. Expert Syst. Appl. 169: 114476 (2021) - 2020
- [c6]Michael T. Lash, W. Nick Street:
Personalized Cardiovascular Disease Risk Mitigation via Longitudinal Inverse Classification. BIBM 2020: 2610-2617 - [i11]Akash Gupta, Michael T. Lash, Senthil K. Nachimuthu:
Optimal Sepsis Patient Treatment using Human-in-the-loop Artificial Intelligence. CoRR abs/2009.07963 (2020) - [i10]Michael T. Lash, W. Nick Street:
Personalized Cardiovascular Disease Risk Mitigation via Longitudinal Inverse Classification. CoRR abs/2011.08254 (2020)
2010 – 2019
- 2019
- [j3]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): 393-413 (2019) - 2018
- [j2]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): 183-211 (2018) - [i9]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 abs/1801.09546 (2018) - [i8]Michael T. Lash, Qihang Lin, W. Nick Street:
Prophit: Causal inverse classification for multiple continuously valued treatment policies. CoRR abs/1802.04918 (2018) - [i7]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 abs/1809.03323 (2018) - 2017
- [c5]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: 778-785 - [c4]Michael T. Lash, Qihang Lin, W. Nick Street, Jennifer G. Robinson:
A Budget-Constrained Inverse Classification Framework for Smooth Classifiers. ICDM Workshops 2017: 1184-1193 - [c3]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: 66-73 - [c2]Michael T. Lash, Qihang Lin, W. Nick Street, Jennifer G. Robinson, Jeffrey W. Ohlmann:
Generalized Inverse Classification. SDM 2017: 162-170 - [i6]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 abs/1705.03540 (2017) - [i5]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 abs/1708.04714 (2017) - 2016
- [j1]Michael T. Lash, Kang Zhao:
Early Predictions of Movie Success: The Who, What, and When of Profitability. J. Manag. Inf. Syst. 33(3): 874-903 (2016) - [i4]Michael T. Lash, Qihang Lin, W. Nick Street, Jennifer G. Robinson:
A budget-constrained inverse classification framework for smooth classifiers. CoRR abs/1605.09068 (2016) - [i3]Michael T. Lash, Qihang Lin, W. Nick Street, Jennifer G. Robinson, Jeffrey W. Ohlmann:
Generalized Inverse Classification. CoRR abs/1610.01675 (2016) - [i2]Michael T. Lash, W. Nick Street:
Realistic risk-mitigating recommendations via inverse classification. CoRR abs/1611.04199 (2016) - 2015
- [c1]Michael T. Lash, Sunyang Fu, Shiyao Wang, Kang Zhao:
Early Prediction of Movie Success - What, Who, and When. SBP 2015: 345-349 - [i1]Michael T. Lash, Kang Zhao:
Early Predictions of Movie Success: the Who, What, and When of Profitability. CoRR abs/1506.05382 (2015)
Coauthor Index
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