Bayesian classifier with multivariate distribution based on D-vine copula model for awake/drowsiness interpretation during power nap

[1]  H. Jasper,et al.  The ten-twenty electrode system of the International Federation. The International Federation of Clinical Neurophysiology. , 1999, Electroencephalography and clinical neurophysiology. Supplement.

[2]  A. Muzet,et al.  Sleep inertia. , 2000, Sleep medicine reviews.

[3]  A. Naska,et al.  Siesta in healthy adults and coronary mortality in the general population. , 2007, Archives of internal medicine.

[4]  C. Czado,et al.  Modeling Longitudinal Data Using a Pair-Copula Decomposition of Serial Dependence , 2010 .

[5]  Gamini Dissanayake,et al.  Driver Drowsiness Classification Using Fuzzy Wavelet-Packet-Based Feature-Extraction Algorithm , 2011, IEEE Transactions on Biomedical Engineering.

[6]  Andrew J. Patton.  A review of copula models for economic time series , 2012, J. Multivar. Anal..

[7]  Chin-Teng Lin,et al.  Generalized EEG-Based Drowsiness Prediction System by Using a Self-Organizing Neural Fuzzy System , 2012, IEEE Transactions on Circuits and Systems I: Regular Papers.

[8]  Eike Christian Brechmann,et al.  Modeling Dependence with C- and D-Vine Copulas: The R Package CDVine , 2013 .

[9]  Jong-Min Kim,et al.  Mixture of D-vine copulas for modeling dependence , 2013, Comput. Stat. Data Anal..

[10]  Sanae Oriyama,et al.  Effects of Two 15-min Naps on the Subjective Sleepiness, Fatigue and Heart Rate Variability of Night Shift Nurses , 2013, Industrial health.

[11]  G. Borghini,et al.  Neuroscience and Biobehavioral Reviews , 2022 .

[12]  Stefano Di Gennaro,et al.  CLASSIFICATION OF EEG SIGNALS FOR DETECTION OF EPILEPTIC SEIZURES BASED ON WAVELETS AND STATISTICAL PATTERN RECOGNITION , 2014 .

[13]  Mario Ignacio Chacon Murguia,et al.  Detecting Driver Drowsiness: A survey of system designs and technology. , 2015, IEEE Consumer Electronics Magazine.

[14]  N. Verhoest,et al.  A continuous rainfall model based on vine copulas , 2015 .

[15]  Giovanni Costa.  Sleep deprivation due to shift work. , 2015, Handbook of clinical neurology.

[16]  Stefano Di Gennaro,et al.  Detection of epileptiform activity in EEG signals based on time-frequency and non-linear analysis , 2015, Front. Comput. Neurosci..

[17]  Cassie J. Hilditch,et al.  A 30-Minute, but Not a 10-Minute Nighttime Nap is Associated with Sleep Inertia. , 2016, Sleep.

[18]  Claudia Czado,et al.  Evading the curse of dimensionality in nonparametric density estimation with simplified vine copulas , 2015, J. Multivar. Anal..

[19]  M. Haugh,et al.  An Introduction to Copulas , 2016 .

[20]  Tao Zhang,et al.  Drowsiness Detection by Bayesian-Copula Discriminant Classifier Based on EEG Signals During Daytime Short Nap , 2017, IEEE Transactions on Biomedical Engineering.

[21]  Brent Lance,et al.  Driver Drowsiness Estimation From EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR) , 2017, IEEE Transactions on Fuzzy Systems.

[22]  Borbála Blaskovich,et al.  The Benefit of Directed Forgetting Persists After a Daytime Nap: The Role of Spindles and Rapid Eye Movement Sleep in the Consolidation of Relevant Memories , 2017, Sleep.

[23]  Stephen A. Billings,et al.  A new maximum relevance-minimum multicollinearity (MRmMC) method for feature selection and ranking , 2017, Pattern Recognit..

[24]  Claudia Czado,et al.  D-vine copula based quantile regression , 2015, Comput. Stat. Data Anal..

[25]  Stephen A. Billings,et al.  A novel logistic-NARX model as a classifier for dynamic binary classification , 2017, Neural Computing and Applications.

[26]  Dragana Bajic,et al.  Copula as a dynamic measure of cardiovascular signal interactions , 2018, Biomed. Signal Process. Control..

[27]  Pramod K. Varshney,et al.  Copula Based Classifier Fusion Under Statistical Dependence , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[28]  Han-Wei Shen,et al.  Uncertainty Visualization Using Copula-Based Analysis in Mixed Distribution Models , 2018, IEEE Transactions on Visualization and Computer Graphics.

[29]  C. Krauss,et al.  Statistical arbitrage with vine copulas , 2018 .

[30]  Jie Zhang,et al.  A Copula-Based Conditional Probabilistic Forecast Model for Wind Power Ramps , 2019, IEEE Transactions on Smart Grid.

[31]  Sanae Oriyama,et al.  The effects of a 120‐minute nap on sleepiness, fatigue, and performance during 16‐hour night shifts: A pilot study , 2019, Journal of occupational health.

[32]  Raphael Vallat,et al.  Hard to wake up? The cerebral correlates of sleep inertia assessed using combined behavioral, EEG and fMRI measures , 2019, NeuroImage.

[33]  J. Cousins,et al.  The long-term memory benefits of a daytime nap compared with cramming , 2018, Sleep.