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Herbert Kimura
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2020 – today
- 2024
- [j11]Cayan Atreio Portela Bárcena Saavedra, Juliana Betini Fachini Gomes, Eduardo Monteiro de Castro Gomes, Herbert Kimura:
Probability of default for lifetime credit loss for IFRS 9 using machine learning competing risks survival analysis models. Expert Syst. Appl. 249: 123607 (2024) - [c2]Maísa Kely de Melo, Silvia Araújo dos Reis, Vinícius Di Oliveira, Allan Victor Almeida Faria, Ricardo de Lima, Li Weigang, José Francisco Salm Junior, Joao Gabriel de Moraes Souza, Vérica Freitas, Pedro Carvalho Brom, Herbert Kimura, Daniel Oliveira Cajueiro, Gladston Luiz da Silva, Victor Rafael R. Celestino:
Implementing AI for Enhanced Public Services Gov.br: A Methodology for the Brazilian Federal Government. WEBIST 2024: 90-101 - 2023
- [j10]Flavio Barboza, Leonardo Fernando Cruz Basso, Herbert Kimura:
New metrics and approaches for predicting bankruptcy. Commun. Stat. Simul. Comput. 52(6): 2615-2632 (2023) - [j9]Bruno Miranda Henrique, Vinicius Amorim Sobreiro, Herbert Kimura:
Practical machine learning: Forecasting daily financial markets directions. Expert Syst. Appl. 233: 120840 (2023) - 2022
- [j8]Fabio Augusto Scalet Medina, Herbert Kimura:
Impacts of the COVID-19 pandemic on operational losses. Frontiers Appl. Math. Stat. 8 (2022) - 2021
- [c1]Marciele Berger Bernardes, Francisco Andrade, Paulo Novais, Herbert Kimura, Jorge Fernandes:
Promotion of Social Participation in Smart City Developments: Six Technologies for Potential Use in Living Labs. WorldCIST (1) 2021: 425-434 - 2020
- [j7]Bruno Miranda Henrique, Vinicius Amorim Sobreiro, Herbert Kimura:
Contracting in Brazilian public administration: A machine learning approach. Expert Syst. J. Knowl. Eng. 37(5) (2020) - [j6]Iago Cotrim Henriques, Vinicius Amorim Sobreiro, Herbert Kimura, Enzo Barberio Mariano:
Two-stage DEA in banks: Terminological controversies and future directions. Expert Syst. Appl. 161: 113632 (2020)
2010 – 2019
- 2019
- [j5]José Rômulo de Castro Vieira, Flavio Barboza, Vinicius Amorim Sobreiro, Herbert Kimura:
Machine learning models for credit analysis improvements: Predicting low-income families' default. Appl. Soft Comput. 83 (2019) - [j4]Bruno Miranda Henrique, Vinicius Amorim Sobreiro, Herbert Kimura:
Literature review: Machine learning techniques applied to financial market prediction. Expert Syst. Appl. 124: 226-251 (2019) - 2018
- [j3]Bruno Miranda Henrique, Vinicius Amorim Sobreiro, Herbert Kimura:
Building direct citation networks. Scientometrics 115(2): 817-832 (2018) - 2017
- [j2]Flavio Barboza, Herbert Kimura, Edward Altman:
Machine learning models and bankruptcy prediction. Expert Syst. Appl. 83: 405-417 (2017) - 2016
- [j1]Juan Carlos Arismendi, Herbert Kimura:
Monte Carlo approximate tensor moment simulations. Numer. Linear Algebra Appl. 23(5): 825-847 (2016)
Coauthor Index
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