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Resultados de 1 a 10 de 26  para Produção Intelectual da USP

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1
Regulation and ethics of facial recognition systems an analysis of cases in the Court of Appeal in the state of São Paulo
Regulation and ethics of facial recognition systems an analysis of cases in the Court of Appeal in the state of São Paulo
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Artigo de Congresso 		Adicionar ao Meu Espaço

Regulation and ethics of facial recognition systems an analysis of cases in the Court of Appeal in the state of São Paulo

Cristina Godoy Bernardo de Oliveira Otávio de Paula Albuquerque; Emily Liene Belotti; Isabella Ferreira Lopes; Rodrigo Brandão de Andrade e Silva; Glauco Antonio Truzzi Arbix; Brazilian Conference on Intelligent Systems - BRACIS (12. 2023 Belo Horizonte)

Lecture Notes in Artificial Intelligence Cham : Springer v. 14195, p. 18-32, 2023

Cham Springer 2023

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3162282 )(Acessar)

2
A fuzzy approach for classification and novelty detection in data streams under intermediate latency
A fuzzy approach for classification and novelty detection in data streams under intermediate latency
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A fuzzy approach for classification and novelty detection in data streams under intermediate latency

André Luis Cristiani Tiago Pinho da Silva; Heloisa de Arruda Camargo; Brazilian Conference on Intelligent Systems - BRACIS (9. 2020 Rio Grande)

Lecture Notes in Artificial Intelligence Cham : Springer v. 12320, p. 171-186, 2020

Cham Springer 2020

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3008365 )(Acessar)

3
2CS correlation-guided split candidate selection in Hoeffding tree regressors
2CS correlation-guided split candidate selection in Hoeffding tree regressors
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2CS correlation-guided split candidate selection in Hoeffding tree regressors

Saulo Martiello Mastelini André Carlos Ponce de Leon Ferreira de Carvalho; Brazilian Conference on Intelligent Systems - BRACIS (9. 2020 Rio Grande)

Lecture Notes in Artificial Intelligence Cham : Springer v. 12320, p. 337-351, 2020

Cham Springer 2020

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3008273 )(Acessar)

4
Simulating complexity measures on imbalanced datasets
Simulating complexity measures on imbalanced datasets
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Simulating complexity measures on imbalanced datasets

Victor Hugo Barella Luís Paulo Faina Garcia; André Carlos Ponce de Leon Ferreira de Carvalho; Brazilian Conference on Intelligent Systems - BRACIS (9. 2020 Rio Grande)

Lecture Notes in Artificial Intelligence Cham : Springer v. 12320, p. 498-512, 2020

Cham Springer 2020

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3008277 )(Acessar)

5
Data streams are time series challenging assumptions
Data streams are time series challenging assumptions
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Data streams are time series challenging assumptions

Jesse Read Ricardo A Rios; Tatiane Nogueira; Rodrigo Fernandes de Mello; Brazilian Conference on Intelligent Systems - BRACIS (9. 2020 Rio Grande)

Lecture Notes in Artificial Intelligence Cham : Springer v. 12320, p. 529-543, 2020

Cham Springer 2020

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3008278 )(Acessar)

6
Quantifying temporal novelty in social networks using time-varying graphs and concept drift detection
Quantifying temporal novelty in social networks using time-varying graphs and concept drift detection
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Quantifying temporal novelty in social networks using time-varying graphs and concept drift detection

Victor M. G. dos Santos Rodrigo Fernandes de Mello; Tatiane Nogueira; Ricardo A Rios; Brazilian Conference on Intelligent Systems - BRACIS (9. 2020 Rio Grande)

Lecture Notes in Artificial Intelligence Cham : Springer v. 12320, p. 650-664, 2020

Cham Springer 2020

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3008282 )(Acessar)

7
Particle competition for unbalanced community detection in complex networks
Particle competition for unbalanced community detection in complex networks
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Particle competition for unbalanced community detection in complex networks

Luan Vinicius Carvalho Martins Zhao Liang; Brazilian Conference on Intelligent Systems - BRACIS (9. 2020 Rio Grande)

Lecture Notes in Artificial Intelligence Cham : Springer v. 12320, p. 322-336, 2020

Cham Springer 2020

Localização: FFCLRP - Fac. Fil. Ciên. Let. de R. Preto    (pcd 3008291 Acervo Digital ) e outros locais(Acessar)

8
Predicting the evolution of COVID-19 cases and deaths through a correlations-based temporal network
Predicting the evolution of COVID-19 cases and deaths through a correlations-based temporal network
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Predicting the evolution of COVID-19 cases and deaths through a correlations-based temporal network

Tiago Santos Colliri Alexandre Cláudio Botazzo Delbem; Zhao Liang; Brazilian Conference on Intelligent Systems - BRACIS (9. 2020 Rio Grande)

Lecture Notes in Artificial Intelligence Cham : Springer v. 12320, p. 397-411, 2020

Cham Springer 2020

Localização: FFCLRP - Fac. Fil. Ciên. Let. de R. Preto    (pcd 3008293 Acervo Digital ) e outros locais(Acessar)

9
Identifying fine-grained opinion and classifying polarity on coronavirus pandemic
Identifying fine-grained opinion and classifying polarity on coronavirus pandemic
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Identifying fine-grained opinion and classifying polarity on coronavirus pandemic

Francielle Alves Vargas Rodolfo Sanches Saraiva dos Santos; Pedro Regattieri Rocha; Brazilian Conference on Intelligent Systems - BRACIS (9. 2020 Rio Grande)

Lecture Notes in Artificial Intelligence Cham : Springer v. 12319, p. 511-520, 2020

Cham Springer 2020

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3008368 )(Acessar)

10
A heterogeneous network-based positive and unlabeled learning approach to detect fake news
A heterogeneous network-based positive and unlabeled learning approach to detect fake news
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A heterogeneous network-based positive and unlabeled learning approach to detect fake news

Mariana Caravanti de Souza Bruno Magalhães Nogueira; Rafael Geraldeli Rossi; Ricardo Marcondes Marcacini; Solange Oliveira Rezende; Brazilian Conference on Intelligent Systems - BRACIS (10. 2021 Virtual Event)

Lecture Notes in Artificial Intelligence Cham : Springer v. 13074, p. 3-18, 2021

Cham Springer 2021

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3052772 )(Acessar)

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