AI Bibliography

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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
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
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
Blackwell, W. J., & Chen, F. W. (2009). Neural networks in atmospheric remote sensing. Artech House.  
6/25/20, 4:44 PM
Bonabeau, E., Dorigo, M., & Theraulaz, G. (1999). Swarm intelligence: From natural to artificial systems. Oxford University Press.  
11/9/23, 7:03 PM
Brester, C., Semenkin, E., & others. (2013). Development of adaptive genetic algorithms for neural network models multicriteria design. Вестник СибГАУ, (4), 99.  
8/6/20, 9:41 AM
Brynjolfsson, E., & Mcafee, A. (2017). Artificial intelligence, for real. Harvard business review, 1, 1–31.  
4/5/23, 4:52 PM
Brynjolfsson, E., & Mitchell, T. (2017). What can machine learning do? workforce implications. Science, 358(6370), 1530–1534.  
11/16/22, 3:54 PM
Chen, B., Wu, H., Mo, W., Chattopadhyay, I., & Lipson, H. 2018, Autostacker: A compositional evolutionary learning system. Paper presented at Proceedings of the Genetic and Evolutionary Computation Conference.  
11/26/20, 2:24 AM
Churyumov, G., Tkachov, V., Tokariev, V., & Diachenko, V. 2018, Method for ensuring survivability of flying ad-hoc network based on structural and functional reconfiguration. Paper presented at Selected Papers of the XVIII International Scientific and Practical Conference {guillemotleft}Information Technologies and Security{guillemotright}(ITS 2018).  
3/7/22, 2:49 PM
De Raedt, L., Dumanvci'c, S., Manhaeve, R., & Marra, G. (2020). From statistical relational to neuro-symbolic artificial intelligence. arXiv preprint arXiv:2003.08316.  
11/26/20, 2:41 AM
Derrac, J., & Schockaert, S. (2015). Inducing semantic relations from conceptual spaces: A data-driven approach to plausible reasoning. Artificial Intelligence, 228, 66–94.  
4/6/23, 4:00 PM
Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2018). Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805.  
10/28/20, 4:47 PM
Dey, A., Velay, M., Fauvelle, J.-P., & Navers, S. (2020). Adversarial vs behavioural-based defensive ai with joint, continual and active learning Automated evaluation of robustness to deception, poisoning and concept drift. arXiv preprint arXiv:2001.11821.  
8/17/20, 3:26 PM
Dulhanty, C., Deglint, J. L., Daya, I. B., & Wong, A. (2019). Taking a stance on fake news: Towards automatic disinformation assessment via deep bidirectional transformer language models for stance detection. arXiv preprint arXiv:1911.11951.  
10/28/20, 4:50 PM
Dunne, R., Morris, T., & Harper, S. (2021). A survey of ambient intelligence. ACM Computing Surveys (CSUR), 54(4), 1–27.  
11/9/23, 8:29 PM
Enoch, S. Y., Hong, J. B., Ge, M., Khan, K. M., & Kim, D. S. 2019, Multi-objective security hardening optimisation for dynamic networks. Paper presented at ICC 2019-2019 IEEE International Conference on Communications (ICC).  
8/6/20, 10:11 AM
Fernando, T., Denman, S., Sridharan, S., & Fookes, C. (2018). Learning temporal strategic relationships using generative adversarial imitation learning. arXiv preprint arXiv:1805.04969.  
1/4/22, 5:40 AM
Fikes, R., & Garvey, T. (2020). Knowledge representation and reasoning--a history of darpa leadership. AI Magazine, 41(2).  
2/4/21, 10:49 AM
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WIKINDX 6.7.0 | Total resources: 1621 | Username: -- | Bibliography: WIKINDX Master Bibliography | Style: American Psychological Association (APA)