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Contextualizing naive Bayes predictions

Marcelo Eduardo Loor Romero (UGent) and Guy De Tré (UGent)
(2020) Information processing and management of uncertainty in knowledge-based systems, 18th International Conference, IPMU 2020, Lisbon, Portugal, June 15–19, 2020, Proceedings, Part II. In Communications in Computer and Information Science 1239. p.814-827
Author
Organization
Keywords
Explainable artificial intelligence, Augmented appraisal degrees, Naive Bayes classification, Context handling

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Citation

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MLA
Loor Romero, Marcelo Eduardo, and Guy De Tré. “Contextualizing Naive Bayes Predictions.” Information Processing and Management of Uncertainty in Knowledge-Based Systems, 18th International Conference, IPMU 2020, Lisbon, Portugal, June 15–19, 2020, Proceedings, Part II, vol. 1239, Springer, 2020, pp. 814–27, doi:10.1007/978-3-030-50153-2_60.
APA
Loor Romero, M. E., & De Tré, G. (2020). Contextualizing naive Bayes predictions. Information Processing and Management of Uncertainty in Knowledge-Based Systems, 18th International Conference, IPMU 2020, Lisbon, Portugal, June 15–19, 2020, Proceedings, Part II, 1239, 814–827. https://doi.org/10.1007/978-3-030-50153-2_60
Chicago author-date
Loor Romero, Marcelo Eduardo, and Guy De Tré. 2020. “Contextualizing Naive Bayes Predictions.” In Information Processing and Management of Uncertainty in Knowledge-Based Systems, 18th International Conference, IPMU 2020, Lisbon, Portugal, June 15–19, 2020, Proceedings, Part II, 1239:814–27. Cham: Springer. https://doi.org/10.1007/978-3-030-50153-2_60.
Chicago author-date (all authors)
Loor Romero, Marcelo Eduardo, and Guy De Tré. 2020. “Contextualizing Naive Bayes Predictions.” In Information Processing and Management of Uncertainty in Knowledge-Based Systems, 18th International Conference, IPMU 2020, Lisbon, Portugal, June 15–19, 2020, Proceedings, Part II, 1239:814–827. Cham: Springer. doi:10.1007/978-3-030-50153-2_60.
Vancouver
1.
Loor Romero ME, De Tré G. Contextualizing naive Bayes predictions. In: Information processing and management of uncertainty in knowledge-based systems, 18th International Conference, IPMU 2020, Lisbon, Portugal, June 15–19, 2020, Proceedings, Part II. Cham: Springer; 2020. p. 814–27.
IEEE
[1]
M. E. Loor Romero and G. De Tré, “Contextualizing naive Bayes predictions,” in Information processing and management of uncertainty in knowledge-based systems, 18th International Conference, IPMU 2020, Lisbon, Portugal, June 15–19, 2020, Proceedings, Part II, online conference (was scheduled in Lisbon, Portugal), 2020, vol. 1239, pp. 814–827.
@inproceedings{8665963,
  author       = {{Loor Romero, Marcelo Eduardo and De Tré, Guy}},
  booktitle    = {{Information processing and management of uncertainty in knowledge-based systems, 18th International Conference, IPMU 2020, Lisbon, Portugal, June 15–19, 2020, Proceedings, Part II}},
  isbn         = {{9783030501525}},
  issn         = {{1865-0929}},
  keywords     = {{Explainable artificial intelligence,Augmented appraisal degrees,Naive Bayes classification,Context handling}},
  language     = {{eng}},
  location     = {{online conference (was scheduled in Lisbon, Portugal)}},
  pages        = {{814--827}},
  publisher    = {{Springer}},
  title        = {{Contextualizing naive Bayes predictions}},
  url          = {{http://doi.org/10.1007/978-3-030-50153-2_60}},
  volume       = {{1239}},
  year         = {{2020}},
}
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