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1.
Direct wavefront reconstruction with the cone wavefront sensor using the inverse radon transform.
Appl Opt
; 62(30): 8052-8059, 2023 Oct 20.
Article
in English
| MEDLINE | ID: mdl-38038100
2.
Atomic Scale Dynamics Drive Brain-like Avalanches in Percolating Nanostructured Networks.
Nano Lett
; 20(5): 3935-3942, 2020 05 13.
Article
in English
| MEDLINE | ID: mdl-32347733
3.
Mitigation of truncation effects in elongated Shack-Hartmann laser guide star wavefront sensor images.
Appl Opt
; 59(22): 6431-6442, 2020 Aug 01.
Article
in English
| MEDLINE | ID: mdl-32749340
4.
Optical test-benches for multiple source wavefront propagation and spatiotemporal point-spread function emulation.
Appl Opt
; 53(35): 8205-15, 2014 Dec 10.
Article
in English
| MEDLINE | ID: mdl-25608061
5.
Reservoir computing approaches to microsleep detection.
J Neural Eng
; 18(4)2021 03 31.
Article
in English
| MEDLINE | ID: mdl-33205754
6.
Detection of microsleep states from the EEG: a comparison of feature reduction methods.
Med Biol Eng Comput
; 59(7-8): 1643-1657, 2021 Aug.
Article
in English
| MEDLINE | ID: mdl-34275069
7.
Classification of alcoholic EEG signals using wavelet scattering transform-based features.
Comput Biol Med
; 139: 104969, 2021 12.
Article
in English
| MEDLINE | ID: mdl-34700252
8.
Detection and Prediction of Microsleeps from EEG using Spatio-Temporal Patterns.
Annu Int Conf IEEE Eng Med Biol Soc
; 2019: 522-525, 2019 Jul.
Article
in English
| MEDLINE | ID: mdl-31945952
9.
Deep Learning with Convolutional Neural Network for detecting microsleep states from EEG: A comparison between the oversampling technique and cost-based learning.
Annu Int Conf IEEE Eng Med Biol Soc
; 2019: 4152-4155, 2019 Jul.
Article
in English
| MEDLINE | ID: mdl-31946784
10.
Predicting Microsleep States Using EEG Inter-Channel Relationships.
IEEE Trans Neural Syst Rehabil Eng
; 26(12): 2260-2269, 2018 12.
Article
in English
| MEDLINE | ID: mdl-30387734
11.
Ensemble learning based on overlapping clusters of subjects to predict microsleep states from EEG.
Annu Int Conf IEEE Eng Med Biol Soc
; 2018: 3036-3039, 2018 Jul.
Article
in English
| MEDLINE | ID: mdl-30441035
12.
Bayesian multi-subject factor analysis to predict microsleeps from EEG power spectral features.
Annu Int Conf IEEE Eng Med Biol Soc
; 2017: 4183-4186, 2017 Jul.
Article
in English
| MEDLINE | ID: mdl-29060819
13.
Prediction of microsleeps using pairwise joint entropy and mutual information between EEG channels.
Annu Int Conf IEEE Eng Med Biol Soc
; 2017: 4495-4498, 2017 Jul.
Article
in English
| MEDLINE | ID: mdl-29060896
14.
A software framework for real-time multi-modal detection of microsleeps.
Australas Phys Eng Sci Med
; 40(3): 739-749, 2017 Sep.
Article
in English
| MEDLINE | ID: mdl-28573545
15.
Prediction of microsleeps from EEG: Preliminary results.
Annu Int Conf IEEE Eng Med Biol Soc
; 2016: 4650-4653, 2016 Aug.
Article
in English
| MEDLINE | ID: mdl-28269311
16.
Optimized echo state networks with leaky integrator neurons for EEG-based microsleep detection.
Annu Int Conf IEEE Eng Med Biol Soc
; 2015: 3775-8, 2015 Aug.
Article
in English
| MEDLINE | ID: mdl-26737115
17.
EEG-based event detection using optimized echo state networks with leaky integrator neurons.
Annu Int Conf IEEE Eng Med Biol Soc
; 2014: 5856-9, 2014.
Article
in English
| MEDLINE | ID: mdl-25571328
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