Adversarial Deep Learning in EEG Biometrics
专题命中 EEG解码 :EEG(title,abstract);分类 eess.SP、cs.LG
Comments Accepted for publication by IEEE Signal Processing Letters
Journal ref IEEE Signal Processing Letters, 2019
科学与医疗
脑机接口、EEG、神经信号解码、神经假体和脑控交互。
专题命中 EEG解码 :EEG(title,abstract);分类 eess.SP、cs.LG
Comments Accepted for publication by IEEE Signal Processing Letters
Journal ref IEEE Signal Processing Letters, 2019
专题命中 EEG解码 :EEG(title,abstract);分类 q-bio.NC、cs.LG
Comments 31 pages, 4 Figures. arXiv admin note: text overlap with arXiv:1803.05985 by other authors
专题命中 EEG解码 :EEG(title,abstract);分类 eess.SP、cs.LG
专题命中 EEG解码 :EEG(title,abstract);分类 q-bio.NC、cs.LG
Comments This paper has been withdrawn by the authors due to an error discovered in the experiments
专题命中 EEG解码 :EEG(title,abstract);分类 eess.SP、cs.LG
专题命中 EEG解码 :EEG(title,abstract);分类 eess.SP、cs.LG
专题命中 EEG解码 :EEG(title,abstract);分类 q-bio.NC、cs.LG
Comments 5 pages, 2 figures, NeurIPS 2018 AI for Social Good Workshop at the Neural Information Processing Systems (NeurIPS = formerly NIPS) 2018. Montreal, Canada
专题命中 EEG解码 :EEG(title,abstract);分类 q-bio.NC、eess.SP
Comments ISMRM, Jun 2018, Paris, France. 2018, https://www.ismrm.org/
专题命中 EEG解码 :EEG(title,abstract);分类 eess.SP、cs.LG
Comments Accepted and presented at ICASSP 2018
专题命中 EEG解码 :EEG(title,abstract);分类 cs.LG、cs.HC
Comments Accepted for the 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018)
专题命中 EEG解码 :EEG(title);brain-computer interface(abstract);分类 q-bio.NC、cs.HC
专题命中 EEG解码 :EEG(title,abstract);分类 eess.SP、cs.LG
专题命中 EEG解码 :EEG(title,abstract);分类 eess.SP、cs.LG
专题命中 EEG解码 :EEG(title,abstract);分类 eess.SP、cs.LG
Comments 8 pages, 2 figures, 2 tables
专题命中 EEG解码 :EEG(title,abstract);分类 eess.SP、cs.LG
专题命中 EEG解码 :EEG(title,abstract);分类 q-bio.NC、cs.LG
Comments 9 pages, 5 figures, Accepted by SDM-2018
专题命中 EEG解码 :EEG(title,abstract);分类 q-bio.NC、cs.LG
专题命中 EEG解码 :EEG(title,abstract);分类 q-bio.NC、eess.SP
Comments 9 pages, 6 figures
专题命中 EEG解码 :EEG(title,abstract);分类 q-bio.NC、cs.LG
Comments 5 pages, 2 figures
专题命中 EEG解码 :EEG(title,abstract);分类 q-bio.NC、eess.SP
Comments Presented at NIPS 2017 Workshop on Machine Learning for Health
专题命中 EEG解码 :BCI(title);EEG(abstract);分类 q-bio.NC、cs.HC
Journal ref Neurocomputing 2017
专题命中 EEG解码 :EEG(title,abstract);分类 q-bio.NC、cs.LG
Comments 11 pages, 5 figures. Table 1 in the last page
专题命中 EEG解码 :EEG(title,abstract);分类 q-bio.NC、cs.HC
Comments 14 pages, 5 figures, 3 tables. Preprint version. Revision of original preprint. Supplementary materials added as ancillary file
专题命中 EEG解码 :brain-computer interface(title,abstract);分类 q-bio.NC、cs.HC
Comments 4 pages, 5 figures, accepted for EMBC 2015, IEEE copyright
专题命中 EEG解码 :EEG(title,abstract);分类 q-bio.NC、cs.LG
Comments arXiv admin note: substantial text overlap with arXiv:1406.2434
专题命中 EEG解码 :BCI(title,abstract);分类 cs.LG、cs.HC
专题命中 EEG解码 :EEG(title,abstract);分类 q-bio.NC、cs.LG
Journal ref Published in Journal of Neuroscience Methods, vol. 215, pp. 19-28, 2013
通过端点后随机化测试适配过去的解释的极限:以预期脑电图为例
专题命中 EEG解码 :EEG(title,abstract);分类 q-bio.NC
AI总结 本研究提出Level II-A框架,以合成脑电图数据为案例,通过端点后随机化测试适配过去的解释的极限,将“过去解释”转化为可检验的量级限定主张。
Comments Perspective article. 90 pages, 6 figures, 15 tables; includes Supplementary Information. No human EEG data are analysed. Synthetic benchmark and reproducible software are available at https://github.com/geosop/LEVEL-IIA and https://doi.org/10.5281/zenodo.21887583
专题命中 EEG解码 :EEG(title,abstract);分类 cs.LG
Comments PSO, Fuzzy, XGBoost, Neural Gas Network (NGN), Feature Selection, EEG Signals, Emotion Recognition
专题命中 EEG解码 :EEG(title,abstract);分类 cs.LG
Comments Real-Time Seizure Detection with EEG