Machine learning testing: error, fault, or failure. An ontological approach (2026)
Martins, Alexandre Locci; Melo, Ana Cristina Vieira de 
Source: Lecture Notes in Networks and Systems. Conference titles: Iberian Conference on Information Systems and Technologies - CISTI. Unidade: IME
Subjects: APRENDIZADO COMPUTACIONAL, INTELIGÊNCIA ARTIFICIAL, ONTOLOGIAS
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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: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://link.springer.com/chapter/10.1007/978-3-032-10721-3_24. Acesso em: 19 abr. 2026. , 2026APA
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: Instituto de Matemática e Estatística, Universidade de São Paulo. Recuperado de https://link.springer.com/chapter/10.1007/978-3-032-10721-3_24NLM
Martins AL, Melo ACV de. Machine learning testing: error, fault, or failure. An ontological approach [Internet]. Lecture Notes in Networks and Systems. 2026 ; 1716 LNNS 262-273.[citado 2026 abr. 19 ] Available from: https://link.springer.com/chapter/10.1007/978-3-032-10721-3_24Vancouver
Martins AL, Melo ACV de. Machine learning testing: error, fault, or failure. An ontological approach [Internet]. Lecture Notes in Networks and Systems. 2026 ; 1716 LNNS 262-273.[citado 2026 abr. 19 ] Available from: https://link.springer.com/chapter/10.1007/978-3-032-10721-3_24
