A Big-Data Variational Bayesian Framework for Supporting the Prediction of Functional Outcomes in Wake-Up Stroke Patients

Milos Ajcevic, Aleksandar Miladinovic, Giulia Silveri, Giovanni Furlanis, Tommaso Cilotto, Alex Buoite Stella, Paola Caruso, Maja Ukmar, Marcello Naccarato, Alfredo Cuzzocrea, Paolo Manganotti, Agostino Accardo. A Big-Data Variational Bayesian Framework for Supporting the Prediction of Functional Outcomes in Wake-Up Stroke Patients. In Osvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Chiara Garau, Ivan Blecic, David Taniar, Bernady O. Apduhan, Ana Maria A. C. Rocha, Eufemia Tarantino, Carmelo Maria Torre, Yeliz Karaca, editors, Computational Science and Its Applications - ICCSA 2020 - 20th International Conference, Cagliari, Italy, July 1-4, 2020, Proceedings, Part I. Volume 12249 of Lecture Notes in Computer Science, pages 992-1002, Springer, 2020. [doi]

@inproceedings{AjcevicMSFCSCUN20,
  title = {A Big-Data Variational Bayesian Framework for Supporting the Prediction of Functional Outcomes in Wake-Up Stroke Patients},
  author = {Milos Ajcevic and Aleksandar Miladinovic and Giulia Silveri and Giovanni Furlanis and Tommaso Cilotto and Alex Buoite Stella and Paola Caruso and Maja Ukmar and Marcello Naccarato and Alfredo Cuzzocrea and Paolo Manganotti and Agostino Accardo},
  year = {2020},
  doi = {10.1007/978-3-030-58799-4_71},
  url = {https://doi.org/10.1007/978-3-030-58799-4_71},
  researchr = {https://researchr.org/publication/AjcevicMSFCSCUN20},
  cites = {0},
  citedby = {0},
  pages = {992-1002},
  booktitle = {Computational Science and Its Applications - ICCSA 2020 - 20th International Conference, Cagliari, Italy, July 1-4, 2020, Proceedings, Part I},
  editor = {Osvaldo Gervasi and Beniamino Murgante and Sanjay Misra and Chiara Garau and Ivan Blecic and David Taniar and Bernady O. Apduhan and Ana Maria A. C. Rocha and Eufemia Tarantino and Carmelo Maria Torre and Yeliz Karaca},
  volume = {12249},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-58799-4},
}