@inproceedings{be9f489d22154ea1bc89254e71c0c950,
title = "Scalable selection of EEG features for compression",
keywords = "electroencephalogram, features, machine learning, telemedicine",
author = "Yuma Tsurugasaki and Koichi Shimoda and Michael Hefenbrock and Akihito Taya and Sejun Song and Yoshito Tobe",
note = "Publisher Copyright: {\textcopyright} 2020 ACM.; 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2020 ; Conference date: 12-09-2020 Through 17-09-2020",
year = "2020",
month = sep,
day = "10",
doi = "10.1145/3410530.3414438",
language = "English",
series = "UbiComp/ISWC 2020 Adjunct - Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers",
publisher = "Association for Computing Machinery",
pages = "712--715",
booktitle = "UbiComp/ISWC 2020 Adjunct - Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers",
}