Michael T. Lash

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Nick StreetProfessor of Business Analytics, Tippie College of Business, University of IowaPatvirtintas el. paštas uiowa.edu
Kang ZhaoLeonard A. Hadley Professor, University of IowaPatvirtintas el. paštas uiowa.edu
Qihang LinThe University of IowaPatvirtintas el. paštas uiowa.edu
Jennifer G RobinsonUniversity of IowaPatvirtintas el. paštas uiowa.edu
Jeffrey OhlmannAssociate Professor of Business Analytics, University of IowaPatvirtintas el. paštas uiowa.edu
Alberto Maria SegreProfessor and Chair, Gerard P Weeg Faculty Scholar in Informatics, Department of Computer SciencePatvirtintas el. paštas uiowa.edu
Xiaorui ZhuTowson UniversityPatvirtintas el. paštas towson.edu
Sunyang Fu, PhD, MHIAssistant Professor and Associate Director, University of Texas Health Science Center at HoustonPatvirtintas el. paštas uth.tmc.edu
Yvette CozierAssociate Professor of Epidemiology, Boston University School of Public HealhtPatvirtintas el. paštas bu.edu
Senthil K. NachimuthuUniversity of UtahPatvirtintas el. paštas utah.edu
Xun ZhouProfessor of Computer Science, Harbin Institute of Technology, Shenzhen (HIT-SZ)Patvirtintas el. paštas hit.edu.cn
Charles LynchProfessor EmeritusPatvirtintas el. paštas uiowa.edu
S. SajeeshAssociate Professor of Marketing, University of Nebraska-LincolnPatvirtintas el. paštas unl.edu
Ozgur M ArazProfessor, University of Nebraska Lincoln, College of BusinessPatvirtintas el. paštas unl.edu
Min ZhangSchool of Economics and Management, Communication University of ChinaPatvirtintas el. paštas cuc.edu.cn

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Michael T. Lash

Assistant Professor, University of Kansas

Patvirtintas el. paštas ku.edu - Pagrindinis puslapis

Data Mining Machine Learning Predictive Analytics


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	221	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	84	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	34	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	28	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	18	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	12	2024
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	11	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
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	2	2019
Predicting mobility using limited data during early stages of a pandemic MT Lash, S Sajeesh, OM Araz Journal of Business Research 157, 113413, 2023	1	2023
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
HEX: Human-in-the-loop explainability via deep reinforcement learning MT Lash Decision Support Systems 187, 114304, 2024		2024
Online Supplemental Materials for HEX: Human-in-the-Loop Explainability via Deep Reinforcement Learning M Lash Available at SSRN 4945516, 2024		2024
The third party logistics provider freight management problem: a framework and deep reinforcement learning approach A Abbasi-Pooya, MT Lash Annals of Operations Research 339 (1), 965-1024, 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
Understanding social support and user behaviors in online health communities X Wang, K Zhao, M Lash

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