Love thy Neighbours: A Framework for Error-Driven Discovery of Useful Neighbourhoods for One-Step Forecasts on EMA data

Vishnu Unnikrishnan, Yash Shah, Miro Schleicher, Carlos Fernández Viadero, Mirela Strandzheva, Doroteya Velikova, Plamen Dimitrov, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou. Love thy Neighbours: A Framework for Error-Driven Discovery of Useful Neighbourhoods for One-Step Forecasts on EMA data. In João Rafael Almeida, Alejandro Rodríguez González, LinLin Shen, Bridget Kane, Agma Traina, Paolo Soda, José Luís Oliveira, editors, 34th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2021, Aveiro, Portugal, June 7-9, 2021. pages 295-300, IEEE, 2021. [doi]

@inproceedings{UnnikrishnanSSF21,
  title = {Love thy Neighbours: A Framework for Error-Driven Discovery of Useful Neighbourhoods for One-Step Forecasts on EMA data},
  author = {Vishnu Unnikrishnan and Yash Shah and Miro Schleicher and Carlos Fernández Viadero and Mirela Strandzheva and Doroteya Velikova and Plamen Dimitrov and Rüdiger Pryss and Johannes Schobel and Winfried Schlee and Myra Spiliopoulou},
  year = {2021},
  doi = {10.1109/CBMS52027.2021.00080},
  url = {https://doi.org/10.1109/CBMS52027.2021.00080},
  researchr = {https://researchr.org/publication/UnnikrishnanSSF21},
  cites = {0},
  citedby = {0},
  pages = {295-300},
  booktitle = {34th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2021, Aveiro, Portugal, June 7-9, 2021},
  editor = {João Rafael Almeida and Alejandro Rodríguez González and LinLin Shen and Bridget Kane and Agma Traina and Paolo Soda and José Luís Oliveira},
  publisher = {IEEE},
  isbn = {978-1-6654-4121-6},
}