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Adadi, A., & Berrada, M. (2018). Peeking inside the black-box: A survey on explainable artificial intelligence (xai). IEEE Access, 6, 52138–52160.  
6/29/20, 4:09 PM
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.  
10/28/20, 1:54 PM
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.  
1/18/22, 7:59 PM
Alexander, D. (2020). Neural networks: History and applications. Nova Science Publishers, Incorporated.  
6/25/20, 4:36 PM
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).  
9/7/21, 9:03 AM
Allen, C., Balavzevi'c, I., & Hospedales, T. (2020). A probabilistic framework for discriminative and neuro-symbolic semi-supervised learning. arXiv preprint arXiv:2006.05896.  
11/26/20, 3:01 AM
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.  
10/6/20, 1:17 PM
Amir, O. (2017). Intelligent information sharing to support loosely-coupled teamwork. Unpublished PhD thesis.  
9/14/21, 4:12 PM
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.  
9/14/21, 4:04 PM
Anantrasirichai, N., & Bull, D. (2022). Artificial intelligence in the creative industries: A review. Artificial Intelligence Review, 1–68.  
3/17/23, 8:13 PM
Arabshahi, F., Lee, J., Gawarecki, M., Mazaitis, K., Azaria, A., & Mitchell, T. (2020). Conversational neuro-symbolic commonsense reasoning. arXiv preprint arXiv:2006.10022.  
11/26/20, 2:54 AM
Atkinson, K., Baroni, P., Giacomin, M., Hunter, A., Prakken, H., & Reed, C., et al.. (2017). Towards artificial argumentation. AI Magazine, 38(3), 25–36.  
9/19/22, 1:54 PM
Aversa, P., Cabantous, L., & Haefliger, S. (2018). When decision support systems fail: Insights for strategic information systems from formula 1. The Journal of Strategic Information Systems, 27(3), 221–236.  
3/29/21, 5:21 PM
Balakrishnan, A. (2021). Productizing an artificial intelligence solution for intelligent detail extraction—synergy of symbolic and sub-symbolic artificial intelligence techniques. Trends of Data Science and Applications: Theory and Practices, 954, 23.  
1/24/22, 12:39 PM
Barnden, J. A., & Lee, M. G. (2001). Metaphor and artificial intelligence. Lawrence Erlbaum Associates.  
9/20/21, 12:59 PM
Barton, M. (2021). The department of defense high performance computing modernization program. The Journal of Defense Modeling and Simulation, 15485129211061743.  
12/11/22, 12:53 PM
Beaulieu, S., Frati, L., Miconi, T., Lehman, J., Stanley, K. O., & Clune, J., et al.. (2020). Learning to continually learn. arXiv preprint arXiv:2002.09571.  
11/8/21, 1:19 PM
Bender, E. A. (1996). Mathematical methods in artificial intelligence. IEEE Computer Society Press.  
1/25/22, 10:26 AM
Bengio, Y., Lecun, Y., & Hinton, G. (2021). Deep learning for ai. Communications of the ACM, 64(7), 58–65.  
1/18/23, 12:34 PM
Bertossi, L., & Geerts, F. (2020). Data quality and explainable ai. Journal of Data and Information Quality (JDIQ), 12(2), 1–9.  
7/22/20, 4:04 PM
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WIKINDX 6.7.0 | Total resources: 1470 | Username: -- | Bibliography: WIKINDX Master Bibliography | Style: American Psychological Association (APA)