A Word Embedding Model for Mapping Food Composition Databases Using Fuzzy Logic

Andrea Morales-Garzón, Juan Gómez-Romero, María J. Martín-Bautista. A Word Embedding Model for Mapping Food Composition Databases Using Fuzzy Logic. In Marie-Jeanne Lesot, Susana M. Vieira, Marek Z. Reformat, João Paulo Carvalho, Anna Wilbik, Bernadette Bouchon-Meunier, Ronald R. Yager, editors, Information Processing and Management of Uncertainty in Knowledge-Based Systems - 18th International Conference, IPMU 2020, Lisbon, Portugal, June 15-19, 2020, Proceedings, Part II. Volume 1238 of Communications in Computer and Information Science, pages 635-647, Springer, 2020. [doi]

@inproceedings{Morales-GarzonG20,
  title = {A Word Embedding Model for Mapping Food Composition Databases Using Fuzzy Logic},
  author = {Andrea Morales-Garzón and Juan Gómez-Romero and María J. Martín-Bautista},
  year = {2020},
  doi = {10.1007/978-3-030-50143-3_50},
  url = {https://doi.org/10.1007/978-3-030-50143-3_50},
  researchr = {https://researchr.org/publication/Morales-GarzonG20},
  cites = {0},
  citedby = {0},
  pages = {635-647},
  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},
  editor = {Marie-Jeanne Lesot and Susana M. Vieira and Marek Z. Reformat and João Paulo Carvalho and Anna Wilbik and Bernadette Bouchon-Meunier and Ronald R. Yager},
  volume = {1238},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-030-50143-3},
}