AI Bibliography

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Cirincione, G., & Verma, D. 2019, Federated machine learning for multi-domain operations at the tactical edge. Paper presented at Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications.  
1/12/21, 1:27 PM
Fenstermacher, L., Perez, M., Larson, K., & Rice, K. 2021, A playbook for characterization of multi-domain information. Paper presented at Signal Processing, Sensor/Information Fusion, and Target Recognition XXX.  
9/15/21, 1:49 PM
Henry, M. H. 2017, Human-machine analytics for closed-loop sense-making in time-dominant cyber defense problems. Paper presented at Next-Generation Analyst V.  
1/25/21, 1:00 PM
Judd, G. B., Szabo, C. M., Chan, K. S., Radenovic, V., Boyd, P., & Marcus, K., et al.. 2019, Representing and reasoning over military context information in complex multi domain battlespaces using artificial intelligence and machine learning. Paper presented at Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications.  
1/4/21, 1:08 PM
Schwartz, P. J., O'Neill, D. V., Bentz, M. E., Brown, A., Doyle, B. S., & Liepa, O. C., et al.. 2020, Ai-enabled wargaming in the military decision making process. Paper presented at Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II.  
2/18/21, 2:12 PM
Spencer, D. K., Duncan, S., & Taliaferro, A. 2019, Operationalizing artificial intelligence for multi-domain operations: A first look. Paper presented at Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications.  
10/23/20, 4:47 PM
van den Brink, M. 2020, Holistic lithography in the age of the artificial intelligence of things. Paper presented at Extreme Ultraviolet Lithography 2020.  
7/6/21, 1:04 PM
WIKINDX 6.7.0 | Total resources: 1621 | Username: -- | Bibliography: WIKINDX Master Bibliography | Style: American Psychological Association (APA)