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Filtros : "Proceedings of Machine Learning Research - PMLR" "Inglês" Removido: "Financiamento ANR" Limpar

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  • Trabalho de evento-anais periodico

    GALE: globally assessing local explanations (2022)

    Xenopoulos, Peter ; Silva, Claudio; Chan, Gromit Yeuk-Yin ; Doraiswamy, Harish ; Nonato, Luis Gustavo ; Barr, Brian; Silva, Claudio

    Source: Proceedings of Machine Learning Research - PMLR. Conference titles: Workshop on Topology, Algebra, and Geometry in Machine Learning. Unidade: ICMC

    Subjects: TOPOLOGIA, PREDIÇÃO, FRAMEWORKS

    PrivadoAcesso à fonteHow to cite
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    • ABNT

      XENOPOULOS, Peter et al. GALE: globally assessing local explanations. Proceedings of Machine Learning Research - PMLR. Brookline: Microtome Publishing. Disponível em: https://proceedings.mlr.press/v196/xenopoulos22a.html. Acesso em: 19 nov. 2025. , 2022

    • APA

      Xenopoulos, P., Silva, C., Chan, G. Y. -Y., Doraiswamy, H., Nonato, L. G., Barr, B., & Silva, C. (2022). GALE: globally assessing local explanations. Proceedings of Machine Learning Research - PMLR. Brookline: Microtome Publishing. Recuperado de https://proceedings.mlr.press/v196/xenopoulos22a.html

    • NLM

      Xenopoulos P, Silva C, Chan GY-Y, Doraiswamy H, Nonato LG, Barr B, Silva C. GALE: globally assessing local explanations [Internet]. Proceedings of Machine Learning Research - PMLR. 2022 ; 196 322-331.[citado 2025 nov. 19 ] Available from: https://proceedings.mlr.press/v196/xenopoulos22a.html

    • Vancouver

      Xenopoulos P, Silva C, Chan GY-Y, Doraiswamy H, Nonato LG, Barr B, Silva C. GALE: globally assessing local explanations [Internet]. Proceedings of Machine Learning Research - PMLR. 2022 ; 196 322-331.[citado 2025 nov. 19 ] Available from: https://proceedings.mlr.press/v196/xenopoulos22a.html

  • Trabalho de evento

    Exploring the space of probabilistic sentential decision diagrams (2019)

    Mattei, Lilith; Soares, Decio Lauro ; Antonucci, Alessandro ; Mauá, Denis Deratani ; Facchini, Alessandro

    Source: Proceedings of Machine Learning Research - PMLR. Conference titles: Workshop on Tractable Probabilistic Modeling - TPM. Unidade: IME

    Assunto: MODELOS PARA PROCESSOS ESTOCÁSTICOS

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    • ABNT

      MATTEI, Lilith et al. Exploring the space of probabilistic sentential decision diagrams. 2019, Anais.. San Diego: International Conference on Machine Learning, 2019. Disponível em: https://drive.google.com/file/d/1PkckPpeLUOP_Oeik_q4MprD6ZJeekqHZ/view. Acesso em: 19 nov. 2025.

    • APA

      Mattei, L., Soares, D. L., Antonucci, A., Mauá, D. D., & Facchini, A. (2019). Exploring the space of probabilistic sentential decision diagrams. In Proceedings of Machine Learning Research - PMLR. San Diego: International Conference on Machine Learning. Recuperado de https://drive.google.com/file/d/1PkckPpeLUOP_Oeik_q4MprD6ZJeekqHZ/view

    • NLM

      Mattei L, Soares DL, Antonucci A, Mauá DD, Facchini A. Exploring the space of probabilistic sentential decision diagrams [Internet]. Proceedings of Machine Learning Research - PMLR. 2019 ;[citado 2025 nov. 19 ] Available from: https://drive.google.com/file/d/1PkckPpeLUOP_Oeik_q4MprD6ZJeekqHZ/view

    • Vancouver

      Mattei L, Soares DL, Antonucci A, Mauá DD, Facchini A. Exploring the space of probabilistic sentential decision diagrams [Internet]. Proceedings of Machine Learning Research - PMLR. 2019 ;[citado 2025 nov. 19 ] Available from: https://drive.google.com/file/d/1PkckPpeLUOP_Oeik_q4MprD6ZJeekqHZ/view
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