A4 Article in conference proceedings
Exploiting ongoing EEG with multilinear partial least squares during free-listening to music (2016)


Wang, D., Cong, F., Zhao, Q., Toiviainen, P., Nandi, A. K., Huotilainen, M., Ristaniemi, T., & Cichocki, A. (2016). Exploiting ongoing EEG with multilinear partial least squares during free-listening to music. In F. A. N. Palmieri, A. Uncini, K. Diamantaras, & J. Larsen (Eds.), Proceedings of MLSP 2016 : IEEE International Workshop on Machine Learning for Signal Processing. Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/MLSP.2016.7738849


JYU authors or editors


Publication details

All authors or editors: Wang, Deqing; Cong, Fengyu; Zhao, Qibin; Toiviainen, Petri; Nandi, Asoke K.; Huotilainen, Minna; Ristaniemi, Tapani; Cichocki, Andrzej

Parent publication: Proceedings of MLSP 2016 : IEEE International Workshop on Machine Learning for Signal Processing

Parent publication editors: Palmieri, Francesco A. N.; Uncini, Aurelio; Diamantaras, Kostas; Larsen, Jan

ISBN: 978-1-5090-0746-2

Publication year: 2016

Publisher: Institute of Electrical and Electronic Engineers

Publication country: United States

Publication language: English

DOI: https://doi.org/10.1109/MLSP.2016.7738849

Publication open access: Not open

Publication channel open access:

Additional information: MLSP 2016 : IEEE International Workshop on Machine Learning for Signal Processing, September 13-16, 2016 Vietri sul Mare, Salerno, Italy


Keywords: music

Free keywords: tensor decomposition; Ongoing EEG; multilinear partial least squares


Contributing organizations


Ministry reporting: Yes

Reporting Year: 2016

JUFO rating: 1


Last updated on 2021-09-06 at 10:50