| Early predictions of movie success: the who, what, and when of profitability MT Lash, K Zhao Journal of Management Information Systems 33 (3), 874-903, 2016 | 203 | 2016 |
| Generalized inverse classification MT Lash, Q Lin, N Street, JG Robinson, J Ohlmann Proceedings of the 2017 SIAM International Conference on Data Mining, 162-170, 2017 | 76 | 2017 |
| A budget-constrained inverse classification framework for smooth classifiers MT Lash, Q Lin, WN Street, JG Robinson Data Mining Workshops (ICDMW), 2017 IEEE International Conference on, 2017 | 33 | 2017 |
| Early prediction of movie success—what, who, and when M Lash, S Fu, S Wang, K Zhao Social Computing, Behavioral-Cultural Modeling, and Prediction: 8th …, 2015 | 27 | 2015 |
| A web-based registry for patients with sarcoidosis AK Gerke, F Tang, YC Cozier, MT Lash, J Schappet, E Phillips, ... Sarcoidosis, vasculitis, and diffuse lung diseases 34 (1), 26, 2017 | 14 | 2017 |
| Optimal Sepsis Patient Treatment using Human-in-the-loop Artificial Intelligence A Gupta, MT Lash, SK Nachimuthu Expert Systems with Applications 169, 1-14, 2021 | 10 | 2021 |
| A Large-Scale Exploration of Factors Affecting Hand Hygiene Compliance Using Linear Predictive Models MT Lash, J Slater, PM Polgreen, AM Segre Healthcare Informatics (ICHI), 2017 IEEE International Conference on, 66-73, 2017 | 9 | 2017 |
| Impact of the COVID-19 pandemic on the stock market and investor online word of mouth X Zhu, S Li, K Srinivasan, MT Lash Decision Support Systems 176, 114074, 2024 | 4 | 2024 |
| Personalized Cardiovascular Disease Risk Mitigation via Longitudinal Inverse Classification MT Lash, WN Street Bioinformatics and Biomedicine (BIBM), 2020 IEEE International Conference on …, 2020 | 4* | 2020 |
| Prophit: Causal inverse classification for multiple continuously valued treatment policies MT Lash, Q Lin, WN Street arXiv preprint arXiv:1802.04918, 2018 | 4 | 2018 |
| 21 Million Opportunities: A 19 Facility Investigation of Factors Affecting Hand Hygiene Compliance via Linear Predictive Models MT Lash, J Slater, PM Polgreen, AM Segre Journal of Healthcare Informatics Research 3 (4), 393–413, 2019 | 1 | 2019 |
| Optimizing outcomes via inverse classification MT Lash The University of Iowa, 2018 | 1 | 2018 |
| Deriving Enhanced Geographical Representations via Similarity-based Spectral Analysis: Predicting Colorectal Cancer Survival Curves in Iowa MT Lash, M Zhang, X Zhou, WN Street, CF Lynch International Journal of Data Mining and Bioinformatics 21 (3), 183-211, 2018 | 1 | 2018 |
| Learning Rich Geographical Representations: Predicting Colorectal Cancer Survival in the State of Iowa MT Lash, Y Sun, X Zhou, CF Lynch, WN Street Bioinformatics and Biomedicine (BIBM), 2017 IEEE International Conference on, 2017 | 1 | 2017 |
| The third party logistics provider freight management problem: a framework and deep reinforcement learning approach A Abbasi-Pooya, MT Lash Annals of Operations Research, 1-60, 2024 | | 2024 |
| Online Supplemental Material: Impact of the COVID-19 Pandemic on the Stock Market and Investor Online Word of Mouth X Zhu, S Li, K Srinivasan, M Lash Available at SSRN 4536927, 2023 | | 2023 |
| Predicting mobility using limited data during early stages of a pandemic MT Lash, S Sajeesh, OM Araz Journal of Business Research 157, 113413, 2023 | | 2023 |
| HEX: Human-in-the-loop Explainability via Deep Reinforcement Learning MT Lash arXiv preprint arXiv:2206.01343, 2022 | | 2022 |
| Understanding social support and user behaviors in online health communities X Wang, K Zhao, M Lash | | |
Nick StreetProfessor of Business Analytics, Tippie College of Business, University of IowaVerified email at uiowa.edu
