Data Mining for ADHD & ASD Prediction Based on Resting-State fMRI Signals: A Literature Review

Sarah Itani, Fabian Lecron, Philippe Fortemps. Data Mining for ADHD & ASD Prediction Based on Resting-State fMRI Signals: A Literature Review. In Katrien Beuls, Bart Bogaerts 0001, Gianluca Bontempi, Pierre Geurts, Nick Harley, Bertrand Lebichot, Tom Lenaerts, Gilles Louppe, Paul Van Eecke, editors, Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), Brussels, Belgium, November 6-8, 2019. Volume 2491 of CEUR Workshop Proceedings, CEUR-WS.org, 2019. [doi]

@inproceedings{ItaniLF19-0,
  title = {Data Mining for ADHD & ASD Prediction Based on Resting-State fMRI Signals: A Literature Review},
  author = {Sarah Itani and Fabian Lecron and Philippe Fortemps},
  year = {2019},
  url = {http://ceur-ws.org/Vol-2491/paper20.pdf},
  researchr = {https://researchr.org/publication/ItaniLF19-0},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), Brussels, Belgium, November 6-8, 2019},
  editor = {Katrien Beuls and Bart Bogaerts 0001 and Gianluca Bontempi and Pierre Geurts and Nick Harley and Bertrand Lebichot and Tom Lenaerts and Gilles Louppe and Paul Van Eecke},
  volume = {2491},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}