Machine learning testing: error, fault, or failure. An ontological approach (2026)
- Authors:
- USP affiliated authors: MELO, ANA CRISTINA VIEIRA DE - IME ; MARTINS, ALEXANDRE LOCCI - IME
- Unidade: IME
- Subjects: APRENDIZADO COMPUTACIONAL; INTELIGÊNCIA ARTIFICIAL; ONTOLOGIAS
- Language: Inglês
- Imprenta:
- Source:
- Título: Lecture Notes in Networks and Systems
- ISSN: 2367-3370
- Volume/Número/Paginação/Ano: v. 1716, 2026
- Conference titles: Iberian Conference on Information Systems and Technologies - CISTI
-
ABNT
MARTINS, Alexandre Locci e MELO, Ana Cristina Vieira de. Machine learning testing: error, fault, or failure. An ontological approach. Lecture Notes in Networks and Systems. Cham: Springer. Disponível em: https://link.springer.com/chapter/10.1007/978-3-032-10721-3_24. Acesso em: 10 fev. 2026. , 2026 -
APA
Martins, A. L., & Melo, A. C. V. de. (2026). Machine learning testing: error, fault, or failure. An ontological approach. Lecture Notes in Networks and Systems. Cham: Springer. Recuperado de https://link.springer.com/chapter/10.1007/978-3-032-10721-3_24 -
NLM
Martins AL, Melo ACV de. Machine learning testing: error, fault, or failure. An ontological approach [Internet]. Lecture Notes in Networks and Systems. 2026 ; 1716[citado 2026 fev. 10 ] Available from: https://link.springer.com/chapter/10.1007/978-3-032-10721-3_24 -
Vancouver
Martins AL, Melo ACV de. Machine learning testing: error, fault, or failure. An ontological approach [Internet]. Lecture Notes in Networks and Systems. 2026 ; 1716[citado 2026 fev. 10 ] Available from: https://link.springer.com/chapter/10.1007/978-3-032-10721-3_24 - Teste e verificação formal do comportamento excepcional de programas Java
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