MATTOS, Marcelo; SIQUEIRA, Sean; GARCIA, Ana. Fair and Equitable Machine Learning Algorithms in Healthcare: A Systematic Mapping. In: 16th International Conference on Agents and Artificial Intelligence – Volume 3: ICAART, 16. , 2024, Rome/Italy. Proceedings […]. Setúbal: Science and Technology Publications, Lda, 2024 . p. 815-822. DOI: http://dx.doi.org/10.5220/0012394700003636.
Machine learning
4 posts
SILVA, F. C. D. ; BICHARRA GARCIA, A. C. ; SIQUEIRA, S. W. M. . Sentiment Gradient – Improving Sentiment Analysis with Entropy Increase. INTELIGENCIA ARTIFICIAL, v. 26, p. 114-130, 2023. doi: 10.4114/intartif.vol26iss71pp114-130
SILVA, F. C. D. ; BICHARRA GARCIA, A. C. ; SIQUEIRA, S. W. M. . Sentiment Gradient, an enhancement to the Truth, Lies and Sarcasm Detection. In: 17th Ibero-American Conference on Artificial Intelligence (Iberamia 2022), 2022, Cartagena de Indias. Lecture Notes in Artificial Intelligence (LNCS/LNAI series, volume 13788), 2022. p. 107-118. doi: 10.1007/978-3-031-22419-5_10
PROCACI, THIAGO BAESSO. Padrões Comportamentais e Feature Learning para Analisar o Prestígio de Usuários em Comunidades Online de Perguntas e Respostas. 28/05/2019. Instituição de Ensino: UNIVERSIDADE FEDERAL DO ESTADO DO RIO DE JANEIRO, Rio de Janeiro Biblioteca Depositária: UNIRIO Tese Thiago Baesso Procaci.pdf