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