"Deployment of a Machine Learning System for Predicting Lawsuits Against ..."

Luis Rivero et al. (2020)

> Home

Details and statistics

DOI: 10.1145/3439961.3439991

access: open

type: Conference or Workshop Paper

metadata version: 2025-02-25

- view
  - electronic edition via DOI
  - electronic edition @ sbc.org.br (open access)
  authority control:
- export record
  dblp key:
  - conf/sbqs/RiveroDSBJPAO20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/sbqs/RiveroDSBJPAO20
Luis Rivero, João Otávio Bandeira Diniz, Giovanni L. F. da Silva, Gabriel Borralho, Geraldo Braz Junior, Anselmo Cardoso de Paiva, Erika W. B. A. L. Alves, Milton S. L. de Oliveira:
Deployment of a Machine Learning System for Predicting Lawsuits Against Power Companies: Lessons Learned from an Agile Testing Experience for Improving Software Quality. SBQS 2020: 30

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.