The DOI matches its Crossref record; 152 of the 152 references it cites were found in a registry or an index.
Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications
Open accessAbstract
Artificial intelligence and all its supporting tools, e.g. machine and deep learning in computational intelligence-based systems, are rebuilding our society (economy, education, life-style, etc.) and promising a new era for the social welfare state. In this paper we summarize recent advances in data science and artificial intelligence within the interplay between natural and artificial computation. A review of recent works published in the latter field and the state the art are summarized in a comprehensive and self-contained way to provide a baseline framework for the international community in artificial intelligence. Moreover, this paper aims to provide a complete analysis and some relevant discussions of the current trends and insights within several theoretical and application fields covered in the essay, from theoretical models in artificial intelligence and machine learning to the most prospective applications in robotics, neuroscience, brain computer interfaces, medicine and society, in general.
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Cites
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Artificial intelligence in higher education: the state of the field
Crompton, H., & Burke, D. (2023) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-023-00392-8 · Cited by 2,010
“Artificial intelligence has become pervasive in the lives of twenty-first century citizens and is being proclaimed as a tool that can be used to enhance and advance all sectors of our lives (Górriz et al., 2020).”
AI in Education: A Review of Personalized Learning and Educational Technology
Ayeni, O. O., Hamad, N. M. A., Chisom, O. N., Osawaru, B., & Adewusi, O. E. (2024) · GSC Advanced Research and Reviews · doi:10.30574/gscarr.2024.18.2.0062 · Cited by 436
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Artificial intelligence in K-12 education
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Hoke, T. (2025) · Lecture Notes in Civil Engineering · doi:10.1007/978-981-97-8348-9_56 · Cited by 6
Metadata
- Authors
- Górriz, J. M., Ramírez, J., Ortíz, A., Martínez-Murcia, F. J., Segovia, F., Suckling, J., Leming, M., Zhang, Y.-D., Álvarez-Sánchez, J. R., Bologna, G., Bonomini, P., Casado, F. E., Charte, D., Charte, F., Contreras, R., Cuesta-Infante, A., Duro, R. J., Fernández-Caballero, A., Fernández-Jover, E., Gómez-Vilda, P., Graña, M., Herrera, F., Iglesias, R., Lekova, A., de Lope, J., López-Rubio, E., Martínez-Tomás, R., Molina-Cabello, M. A., Montemayor, A. S., Novais, P., Palacios-Alonso, D., Pantrigo, J. J., Payne, B. R., de la Paz López, F., Pinninghoff, M. A., Rincón, M., Santos, J., Thurnhofer-Hemsi, K., Tsanas, A., Varela, R., & Ferrández, J. M.
- Venue
- Neurocomputing
- Publisher
- Elsevier BV
- Published
- 2020-10
- Volume
- 410
- Pages
- 237-270
- ISSN
- 0925-2312 (ISSN-L)
- OpenAlex
- W3033835801
- Cited by
- 319
- References
- 152
- FWCI
- 13.64
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- The paper
- Górriz, J. M., Ramírez, J., Ortíz, A., Martínez-Murcia, F. J., Segovia, F., Suckling, J., Leming, M., Zhang, Y.-D., Álvarez-Sánchez, J. R., Bologna, G., Bonomini, P., Casado, F. E., Charte, D., Charte, F., Contreras, R., Cuesta-Infante, A., Duro, R. J., Fernández-Caballero, A., Fernández-Jover, E., . . . Ferrández, J. M. (2020). Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications. Neurocomputing. https://doi.org/10.1016/j.neucom.2020.05.078
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
