A4 Article in conference proceedings
Classifying Healthy Children and Children with Attention Deficit through Features Derived from Sparse and Nonnegative Tensor Factorization Using Event-related Potential (2010)


Cong, F., Phan, A.-H., Lyytinen, H., Ristaniemi, T., & Cichocki, A. (2010). Classifying Healthy Children and Children with Attention Deficit through Features Derived from Sparse and Nonnegative Tensor Factorization Using Event-related Potential. In V. Vigneron, V. Zarzoso, E. Moreau, R. Gribonval, & E. Vincent (Eds.), Proc. Ninth International Conference on La- tent Variable Analysis and Signal Separation (pp. 620-628). doi:10.1007/978-3-642-15995-4_77


JYU authors or editors


Publication details

All authors or editors: Cong, Fengyu; Phan, Anh-Huy; Lyytinen, Heikki; Ristaniemi, Tapani; Cichocki, Andrzej

Parent publication: Proc. Ninth International Conference on La- tent Variable Analysis and Signal Separation

Parent publication editors: Vigneron, Vincent; Zarzoso, Vicente; Moreau, Eric; Gribonval, Rémi; Vincent, Emmanuel

ISBN: 978-3-642-15994-7

Journal or series: Lecture notes in computer science

ISSN: 0302-9743

Publication year: 2010

Number in series: 6365

Pages range: 620-628

Publication language: English

DOI: https://doi.org/10.1007/978-3-642-15995-4_77

Open Access: Publication channel is not openly available

Additional information: Saint Malo, France, September 27-30, 2010


Keywords: diagnosis; classification; mismatch negativity

Free keywords: children with attention deficit; clinical; nonnegative tensor factorization; event-related potential


Contributing organizations


Ministry reporting: Yes

Preliminary JUFO rating: Not rated


Last updated on 2020-18-12 at 11:03