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Abbass, H. A. (2019). Social integration of artificial intelligence: Functions, automation allocation logic and human-autonomy trust. Cognitive Computation, 11(2), 159–171.  
21/06/2021, 11:26
Abbeel, P., Coates, A., Quigley, M., & Ng, A. (2006). An application of reinforcement learning to aerobatic helicopter flight. Advances in Neural Information Processing Systems, 19.  
19/02/2024, 15:11
Abdel-Basset, M., Gamal, A., Moustafa, N., Abdel-Monem, A., & El-Saber, N. (2021). A security-by-design decision-making model for risk management in autonomous vehicles. IEEE Access, 9, 107657–107679.  
14/06/2023, 18:25
Aberdeen, D., Thi'ebaux, S., Zhang, L., & others. 2004, Decision-theoretic military operations planning.. Paper presented at ICAPS.  
30/06/2020, 09:40
Adadi, A., & Berrada, M. (2018). Peeking inside the black-box: A survey on explainable artificial intelligence (xai). IEEE Access, 6, 52138–52160.  
29/06/2020, 16:09
Agadakos, I., Agadakos, N., Polakis, J., & Amer, M. R. 2020, Chameleons' oblivion: Complex-valued deep neural networks for protocol-agnostic rf device fingerprinting. Paper presented at 2020 IEEE European Symposium on Security and Privacy (EuroS&P).  
04/10/2021, 16:22
Aggarwal, A., Chauhan, A., Kumar, D., Mittal, M., & Verma, S. (2020). Classification of fake news by fine-tuning deep bidirectional transformers based language model. EAI Endorsed Transactions on Scalable Information Systems Online First; EAI: Ghent, Belgium.  
28/10/2020, 13:54
Ahlqvist, C. O., & Ahlgren, M. 2022. Analog computer prototyping for the future.  
18/05/2023, 20:54
Akhtar, M., Bonus, F., Lebrun-Gallagher, F., Johnson, N., Siegele-Brown, M., & Hong, S., et al.. (2023). A high-fidelity quantum matter-link between ion-trap microchip modules. Nature communications, 14(1), 531.  
16/11/2023, 21:11
Albarado, K., Coduti, L., Aloisio, D., Robinson, S., Drown, D., & Javorsek, D. (2021). Alphamosaic: An artificially intelligent battle management architecture. Journal of Aerospace Information Systems, 1–11.  
18/01/2022, 19:59
Alberts, D. S., & Hayes, R. E. (2003). Power to the edge: Command... control... in the information age Office of the Assistant Secretary of Defense Washington DC Command and~….  
22/02/2022, 10:00
Albino, D. K., Friedman, K., Bar-Yam, Y., & Glenney IV, W. G. (2016). Military strategy in a complex world. arXiv preprint arXiv:1602.05670.  
07/01/2022, 12:29
Alexander, D. (2020). Neural networks: History and applications. Nova Science Publishers, Incorporated.  
25/06/2020, 16:36
Ali-Tolppa, J., Kocsis, S., Schultz, B., Bodrog, L., & Kajo, M. 2018, Self-healing and resilience in future 5g cognitive autonomous networks. Paper presented at 2018 ITU Kaleidoscope: Machine Learning for a 5G Future (ITU K).  
07/09/2021, 09:03
Alkire, B., Hanser, L. M., & Lingel, S. L. (2018). A wargame method for assessing risk and resilience of military command-and-control organizations. Rand.  
22/11/2021, 14:35
Alkire, B., LINGEL, S., Baxter, C., Carson, C. M., Chen, C., & Gordon, D., et al.. (2018). Command and control of joint air operations in the pacific: Methods for comparing and contrasting alternative concepts RAND PROJECT AIR FORCE SANTA MONICA CA SANTA MONICA United States.  
22/11/2021, 14:30
Allen, C., Balavzevi'c, I., & Hospedales, T. (2020). A probabilistic framework for discriminative and neuro-symbolic semi-supervised learning. arXiv preprint arXiv:2006.05896.  
26/11/2020, 03:01
Alt, C., H"ubner, M., & Hennig, L. (2019). Fine-tuning pre-trained transformer language models to distantly supervised relation extraction. arXiv preprint arXiv:1906.08646.  
06/10/2020, 13:17
Amir, O. (2017). Intelligent information sharing to support loosely-coupled teamwork. Unpublished PhD thesis.  
14/09/2021, 16:12
Amir, O., Grosz, B. J., Gajos, K. Z., & Gultchin, L. (2019). Personalized change awareness: Reducing information overload in loosely-coupled teamwork. Artificial Intelligence, 275, 204–233.  
14/09/2021, 16:04
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WIKINDX 6.7.0 | Total resources: 1621 | Username: -- | Bibliography: WIKINDX Master Bibliography | Style: American Psychological Association (APA)