Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/83658
Título: | Explainable artificial intelligence on smart human mobility: a comparative study approach |
Autor(es): | Rosa, Luís Silva, Fábio André Souto Analide, Cesar |
Palavras-chave: | Explainable artificial intelligence Machine learning Smart cities Smart human mobility |
Data: | 22-Fev-2023 |
Editora: | Springer |
Revista: | Lecture Notes in Networks and Systems |
Citação: | Rosa, L., Silva, F., Analide, C. (2023). Explainable Artificial Intelligence on Smart Human Mobility: A Comparative Study Approach. In: , et al. Distributed Computing and Artificial Intelligence, Special Sessions, 19th International Conference. DCAI 2022. Lecture Notes in Networks and Systems, vol 585. Springer, Cham. https://doi.org/10.1007/978-3-031-23210-7_9 |
Resumo(s): | Explainable artificial intelligence has been used in several scientific fields to understand how and why a machine learning model makes its predictions. Its characteristics have allowed for greater transparency and outcomes in AI-powered decision-making. This building trust and confidence can be useful in human mobility research. This work provides a comparative study in terms of the explainability of artificial intelligence on smart human mobility in the context of a regression problem. Decision Tree, LIME, SHAP, and Seldon Alibi are explainable approaches to describe human mobility using a dataset generated from New York Services. Based on our results, all of these approaches present relevant indicators for our problem. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/83658 |
ISBN: | 978-3-031-23209-1 |
e-ISBN: | 978-3-031-23210-7 |
DOI: | 10.1007/978-3-031-23210-7_9 |
ISSN: | 2367-3370 |
e-ISSN: | 2367-3389 |
Versão da editora: | https://link.springer.com/chapter/10.1007/978-3-031-23210-7_9 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CAlg - Artigos em revistas internacionais / Papers in international journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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DCAI22.pdf | Explainable Artificial Intelligence on Smart Human Mobility: A Comparative Study Approach | 374,25 kB | Adobe PDF | Ver/Abrir |