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Cited by in F6Publishing
For: Exarchos I, Rogers AA, Aiani LM, Gross RE, Clifford GD, Pedersen NP, Willie JT. Supervised and unsupervised machine learning for automated scoring of sleep-wake and cataplexy in a mouse model of narcolepsy. Sleep 2020;43:zsz272. [PMID: 31693157 DOI: 10.1093/sleep/zsz272] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Thiamchoo N, Phukpattaranont P. Evaluation of feature projection techniques in object grasp classification using electromyogram signals from different limb positions. PeerJ Computer Science 2022;8:e949. [DOI: 10.7717/peerj-cs.949] [Reference Citation Analysis]
2 Prelich MT, Matar M, Gokoglu SA, Gallo CA, Schepelmann A, Iqbal AK, Lewandowski BE, Britten RA, Prabhu RK, Myers JG Jr. Predicting Space Radiation Single Ion Exposure in Rodents: A Machine Learning Approach. Front Syst Neurosci 2021;15:715433. [PMID: 34720896 DOI: 10.3389/fnsys.2021.715433] [Reference Citation Analysis]
3 Ellen JG, Dash MB. An artificial neural network for automated behavioral state classification in rats. PeerJ 2021;9:e12127. [PMID: 34589305 DOI: 10.7717/peerj.12127] [Reference Citation Analysis]
4 Nasiri S, Clifford GD. Boosting automated sleep staging performance in big datasets using population subgrouping. Sleep 2021;44:zsab027. [PMID: 34038560 DOI: 10.1093/sleep/zsab027] [Reference Citation Analysis]
5 Grieger N, Schwabedal JTC, Wendel S, Ritze Y, Bialonski S. Automated scoring of pre-REM sleep in mice with deep learning. Sci Rep 2021;11:12245. [PMID: 34112829 DOI: 10.1038/s41598-021-91286-0] [Reference Citation Analysis]