Interpretable Diagnosis of ADHD Based on Wavelet Features and Logistic Regression

Julián D. Pastrana-Cortes, Maria Camila Maya-Piedrahita, Paula Marcela Herrera-Gómez, David Cárdenas-Peña, Álvaro-Ángel Orozco-Gutierrez. Interpretable Diagnosis of ADHD Based on Wavelet Features and Logistic Regression. In Yanio Hernández Heredia, Vladimir Milián Núñez, José Ruiz-Shulcloper, editors, Progress in Artificial Intelligence and Pattern Recognition - 7th International Workshop on Artificial Intelligence and Pattern Recognition, IWAIPR 2021, Havana, Cuba, October 5-7, 2021, Proceedings. Volume 13055 of Lecture Notes in Computer Science, pages 424-433, Springer, 2021. [doi]

@inproceedings{Pastrana-Cortes21,
  title = {Interpretable Diagnosis of ADHD Based on Wavelet Features and Logistic Regression},
  author = {Julián D. Pastrana-Cortes and Maria Camila Maya-Piedrahita and Paula Marcela Herrera-Gómez and David Cárdenas-Peña and Álvaro-Ángel Orozco-Gutierrez},
  year = {2021},
  doi = {10.1007/978-3-030-89691-1_41},
  url = {https://doi.org/10.1007/978-3-030-89691-1_41},
  researchr = {https://researchr.org/publication/Pastrana-Cortes21},
  cites = {0},
  citedby = {0},
  pages = {424-433},
  booktitle = {Progress in Artificial Intelligence and Pattern Recognition - 7th International Workshop on Artificial Intelligence and Pattern Recognition, IWAIPR 2021, Havana, Cuba, October 5-7, 2021, Proceedings},
  editor = {Yanio Hernández Heredia and Vladimir Milián Núñez and José Ruiz-Shulcloper},
  volume = {13055},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-89691-1},
}