E-LIB Suche - Ergebnisse für: Lash, Michael T

1

Impact of the COVID-19 pandemic on the stock market and inv..:

Zhu, Xiaorui ; Li, Shaobo ; Srinivasan, Karthik.
Decision Support Systems. 176 (2024) - p. 114074 , 2024

Link: https://doi.org/10.1016/..

2

The third party logistics provider freight management probl..:

Abbasi-Pooya, Amin ; Lash, Michael T.
Annals of Operations Research. 339 (2024) 1-2 - p. 965-1024 , 2024

Link: https://doi.org/10.1007/..

3

Predicting mobility using limited data during early stages ..:

Lash, Michael T. ; Sajeesh, S. ; Araz, Ozgur M.
Journal of Business Research. 157 (2023) - p. 113413 , 2023

Link: https://doi.org/10.1016/..

4

Optimal sepsis patient treatment using human-in-the-loop ar..:

Gupta, Akash ; Lash, Michael T. ; Nachimuthu, Senthil K.
Expert Systems with Applications. 169 (2021) - p. 114476 , 2021

Link: https://doi.org/10.1016/..

5

Personalized Cardiovascular Disease Risk Mitigation via Lon..:

, In: 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM),

Lash, Michael T. ; Street, W. Nick - p. 2610-2617 , 2020

Link: https://doi.org/10.1109/..

6

21 Million Opportunities: a 19 Facility Investigation of Fa..:

Lash, Michael T. ; Slater, Jason ; Polgreen, Philip M..
Journal of Healthcare Informatics Research. 3 (2019) 4 - p. 393-413 , 2019

Link: https://doi.org/10.1007/..

7

A Budget-Constrained Inverse Classification Framework for S..:

, In: 2017 IEEE International Conference on Data Mining Workshops (ICDMW),

Lash, Michael T. ; Lin, Qihang ; Street, W. Nick. - p. 1184-1193 , 2017

Link: https://doi.org/10.1109/..

8

Early Predictions of Movie Success: The Who, What, and When..:

LASH, MICHAEL T. ; ZHAO, KANG
Journal of Management Information Systems. 33 (2016) 3 - p. 874-903 , 2016

Link: https://www.jstor.org/st..

9

Early Predictions of Movie Success: The Who, What, and When..:

Lash, Michael T. ; Zhao, Kang
Journal of Management Information Systems. 33 (2016) 3 - p. 874-903 , 2016

Link: https://doi.org/10.1080/..

10

HEX: Human-in-the-loop Explainability via Deep Reinforcemen..:

Lash, Michael T
http://arxiv.org/abs/2206.01343. , 2022

Link: http://arxiv.org/abs/220..

11

Personalized Cardiovascular Disease Risk Mitigation via Lon..:

Lash, Michael T ; Street, W. Nick
http://arxiv.org/abs/2011.08254. , 2020

Link: http://arxiv.org/abs/201..

12

Optimal Sepsis Patient Treatment using Human-in-the-loop Ar..:

Gupta, Akash ; Lash, Michael T ; Nachimuthu, Senthil K
http://arxiv.org/abs/2009.07963. , 2020

Link: http://arxiv.org/abs/200..

13

21 Million Opportunities: a 19 Facility Investigation of Fa..:

Lash, Michael T ; Slater, Jason ; Polgreen, Philip M.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8982796/. , 2019

Link: http://www.ncbi.nlm.nih...

14

Prophit: Causal inverse classification for multiple continu..:

Lash, Michael T ; Lin, Qihang ; Street, W. Nick
http://arxiv.org/abs/1802.04918. , 2018

Link: http://arxiv.org/abs/180..

15

Deriving Enhanced Geographical Representations via Similari..:

Lash, Michael T ; Zhang, Min ; Zhou, Xun..
http://arxiv.org/abs/1809.03323. , 2018

Link: http://arxiv.org/abs/180..