Vectorial GP for Alzheimer’s Disease Prediction Through Handwriting Analysis

Azzali, I., Cilia, N. D., De Stefano, C., Fontanella, F., Giacobini, M., & Vanneschi, L. (2022). Vectorial GP for Alzheimer’s Disease Prediction Through Handwriting Analysis. In J. L. Jiménez LaredoJ, J. I. Hidalgo, & K. O. Babaagba (Eds.), Applications of Evolutionary Computation: 25th Euro...

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Detalhes bibliográficos
Autor principal: Azzali, Irene (author)
Outros Autores: Cilia, Nicole Dalia (author), De Stefano, Claudio (author), Fontanella, Francesco (author), Giacobini, Mario (author), Vanneschi, Leonardo (author)
Formato: conferenceObject
Idioma:eng
Publicado em: 2022
Assuntos:
Alzheimer’s disease
Artificial intelligence
Handwriting analysis
Vectorial genetic programming
Theoretical Computer Science
Computer Science(all)
SDG 3 - Good Health and Well-being
Texto completo:http://hdl.handle.net/10362/142306
País:Portugal
Oai:oai:run.unl.pt:10362/142306
Descrição
Resumo:Azzali, I., Cilia, N. D., De Stefano, C., Fontanella, F., Giacobini, M., & Vanneschi, L. (2022). Vectorial GP for Alzheimer’s Disease Prediction Through Handwriting Analysis. In J. L. Jiménez LaredoJ, J. I. Hidalgo, & K. O. Babaagba (Eds.), Applications of Evolutionary Computation: 25th European Conference, EvoApplications 2022, Held as Part of EvoStar 2022, Madrid, Spain, April 20–22, 2022, Proceedings (pp. 517-530). (Lecture Notes in Computer Science; Vol. 13224). Springer. https://doi.org/10.1007/978-3-031-02462-7_33 ----------------------This work was partially supported by FCT, Portugal, through funding of projects BINDER (PTDC/CCI-INF/29168/2017) and AICE (DSAIPA/DS/0113/2019). This work was also supported by MIUR (Minister for Education, University and Research, Law 232/216, Department of Excellence).

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