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.
12/01/2021, 13:27
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.
15/09/2021, 13:49
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.
25/01/2021, 13:00
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.
04/01/2021, 13:08
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.
18/02/2021, 14:12
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.
23/10/2020, 16:47
van den Brink, M. 2020, Holistic lithography in the age of the artificial intelligence of things . Paper presented at Extreme Ultraviolet Lithography 2020.
06/07/2021, 13:04
