Debadatta Dash, Paul Ferrari, Saleem Malik, Albert Montillo, Joseph A. Maldjian, Jun Wang 0037. Determining the Optimal Number of MEG Trials: A Machine Learning and Speech Decoding Perspective. In Shouyi Wang, Vicky Yamamoto, Jianzhong Su, Yang Yang, Erick Jones, Leon D. Iasemidis, Tom M. Mitchell, editors, Brain Informatics - International Conference, BI 2018, Arlington, TX, USA, December 7-9, 2018, Proceedings. Volume 11309 of Lecture Notes in Computer Science, pages 163-172, Springer, 2018. [doi]
@inproceedings{DashFMMM018,
title = {Determining the Optimal Number of MEG Trials: A Machine Learning and Speech Decoding Perspective},
author = {Debadatta Dash and Paul Ferrari and Saleem Malik and Albert Montillo and Joseph A. Maldjian and Jun Wang 0037},
year = {2018},
doi = {10.1007/978-3-030-05587-5_16},
url = {https://doi.org/10.1007/978-3-030-05587-5_16},
researchr = {https://researchr.org/publication/DashFMMM018},
cites = {0},
citedby = {0},
pages = {163-172},
booktitle = {Brain Informatics - International Conference, BI 2018, Arlington, TX, USA, December 7-9, 2018, Proceedings},
editor = {Shouyi Wang and Vicky Yamamoto and Jianzhong Su and Yang Yang and Erick Jones and Leon D. Iasemidis and Tom M. Mitchell},
volume = {11309},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-05587-5},
}