PublisherDOIYearVolumeIssuePageTitleAuthor(s)Link
Healthcare Informatics Research10.4258/hir.2018.24.3.1702018243170Fast Convolutional Method for Automatic Sleep Stage ClassificationIntan Nurma Yulita, Mohamad Ivan Fanany, Aniati Murni Arymurthyhttps://synapse.koreamed.org/pdf/10.4258/hir.2018.24.3.170, https://synapse.koreamed.org/DOIx.php?id=10.4258/hir.2018.24.3.170, https://synapse.koreamed.org/DOIx.php?id=10.4258/hir.2018.24.3.170
Sensors10.3390/s20226592202020226592Multi-Branch Convolutional Neural Network for Automatic Sleep Stage Classification with Embedded Stage Refinement and Residual Attention Channel FusionTianqi Zhu, Wei Luo, Feng Yuhttps://www.mdpi.com/1424-8220/20/22/6592/pdf
Sleep Medicine10.1016/j.sleep.2017.11.187201740e66Automatic sleep classification using adaptive segmentation reveals increased number of sleep stage transitionsH. Koch, P. Jennum, J.A.E. Christensenhttps://api.elsevier.com/content/article/PII:S1389945717306202?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S1389945717306202?httpAccept=text/plain
Biomedical Signal Processing and Control10.1016/j.bspc.2021.102581202168102581A single-channel EEG based automatic sleep stage classification method leveraging deep one-dimensional convolutional neural network and hidden Markov modelBufang Yang, Xilin Zhu, Yitian Liu, Hongxing Liuhttps://api.elsevier.com/content/article/PII:S1746809421001786?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S1746809421001786?httpAccept=text/plain
10.36227/techrxiv.121298012020Automatic Modulation Classification Method for Multiple Antenna System Based on Convolutional Neural NetworkJuan Wang, Yu Wang, Wenmei Li, Guan Gui, Fumiyuki Adachi, Haris Gacaninhttps://ndownloader.figshare.com/files/22306902
10.36227/techrxiv.12129801.v12020Automatic Modulation Classification Method for Multiple Antenna System Based on Convolutional Neural NetworkJuan Wang, Yu Wang, Wenmei Li, Guan Gui, Fumiyuki Adachi, Haris Gacaninhttps://ndownloader.figshare.com/files/22306902
Journal of Physics: Conference Series10.1088/1742-6596/1230/1/01201020191230012010Comparing Classification via Regression and Random Committee for Automatic Sleep Stage Classification in Autism PatientsIN Yulita, MI Fanany, AM Arymurthyhttps://iopscience.iop.org/article/10.1088/1742-6596/1230/1/012010/pdf, https://iopscience.iop.org/article/10.1088/1742-6596/1230/1/012010, https://iopscience.iop.org/article/10.1088/1742-6596/1230/1/012010/pdf, https://iopscience.iop.org/article/10.1088/1742-6596/1230/1/012010
Sleep Medicine10.1016/j.sleep.2017.11.1038201740e352Validation of HRV-based drowsy-driving detection method with EEG sleep stage classificationT. Yamakawa, K. Fujiwara, T. Hiraoka, M. Kano, Y. Sumi, F. Masuda, M. Matsuo, H. Kadotanihttps://api.elsevier.com/content/article/PII:S1389945717314715?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S1389945717314715?httpAccept=text/plain
Computer Methods and Programs in Biomedicine10.1016/j.cmpb.2018.07.0152018164181-191Complex-valued unsupervised convolutional neural networks for sleep stage classificationJunming Zhang, Yan Wuhttps://api.elsevier.com/content/article/PII:S0169260718305704?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S0169260718305704?httpAccept=text/plain
Computer Methods and Programs in Biomedicine10.1016/j.cmpb.2021.1060632021204106063Automatic Sleep Stage Classification Using Temporal Convolutional Neural Network and New Data Augmentation Technique from Raw Single-Channel EEGEbrahim Khalili, Babak Mohammadzadeh Aslhttps://api.elsevier.com/content/article/PII:S0169260721001383?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S0169260721001383?httpAccept=text/plain