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Journal Articles
- 2024
[j1]Alexander J. Didier, Anthony Nigro, Zaid Noori, Mohamed A. Omballi, Scott M. Pappada, Danae M. Hamouda:
Application of machine learning for lung cancer survival prognostication - A systematic review and meta-analysis. Frontiers Artif. Intell. 7 (2024)
Conference and Workshop Papers
- 2023
- [c5]Prashish Paudel
, Scott Pappada, Liang Cheng:
Automated Multimodal Performance Evaluation in Simulation-based Medical Education using Natural Language Processing. ICCPS 2023: 258-259 - 2016
- [c4]Kevin Durkee, Avinash Hiriyanna, Scott Pappada, John Feeney, Scott M. Galster:
Multi-model Approach to Human Functional State Estimation. HCI (13) 2016: 188-197 - 2015
- [c3]Kevin T. Durkee, Scott M. Pappada, Andres E. Ortiz, John J. Feeney, Scott M. Galster:
System decision framework for augmenting human performance using real-time workload classifiers. CogSIMA 2015: 8-13 - [c2]Kevin Durkee, Scott Pappada, Andres E. Ortiz, John Feeney, Scott M. Galster:
Using Context to Optimize a Functional State Estimation Engine in Unmanned Aircraft System Operations. HCI (15) 2015: 24-35 - 2013
- [c1]Kevin Durkee, Alexandra Geyer, Scott Pappada, Andres E. Ortiz, Scott M. Galster:
Real-Time Workload Assessment as a Foundation for Human Performance Augmentation. HCI (24) 2013: 279-288
Coauthor Index
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