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Luis Alfredo Moctezuma

Showing results (1-10 of 10) with videos related to

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Scientific Reports|April 5, 2020
Multi-objective optimization for EEG channel selection and accurate intruder detection in an EEG-based subject identification systemLuis Alfredo Moctezuma, Marta Molinas
Scientific Reports|September 11, 2020
Towards a minimal EEG channel array for a biometric system using resting-state and a genetic algorithm for channel selectionLuis Alfredo Moctezuma, Marta Molinas
Frontiers in Neuroscience|July 7, 2020
EEG Channel-Selection Method for Epileptic-Seizure Classification Based on Multi-Objective OptimizationLuis Alfredo Moctezuma, Marta Molinas
Journal of Biomedical Research|June 21, 2020
Classification of low-density EEG for epileptic seizures by energy and fractal features based on EMDLuis Alfredo Moctezuma, Marta Molinas
Scientific Reports|March 4, 2022
Two-dimensional CNN-based distinction of human emotions from EEG channels selected by multi-objective evolutionary algorithmLuis Alfredo Moctezuma, Takashi Abe, Marta Molinas
Sleep Advances : a Journal of the Sleep Research Society|October 27, 2025
From high- to low-density EEG for automatic classification of dream experiences during stage 2 of NREMLuis Alfredo Moctezuma, Marta Molinas, Takashi Abe
Biomed Research International|February 18, 2025
Unlocking Dreams and Dreamless Sleep: Machine Learning Classification With Optimal EEG ChannelsLuis Alfredo Moctezuma, Marta Molinas, Takashi Abe
Scientific Reports|July 2, 2022
Automated methodology for optimal selection of minimum electrode subsets for accurate EEG source estimation based on Genetic Algorithm optimizationAndres Soler, Luis Alfredo Moctezuma, Eduardo Giraldo, et al.
Scientific Reports|August 2, 2024
GRU-powered sleep stage classification with permutation-based EEG channel selectionLuis Alfredo Moctezuma, Yoko Suzuki, Junya Furuki, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Enhancing sleep stage classification with 2-class stratification and permutation-based channel selectionLuis Alfredo Moctezuma, Yoko Suzuki, Junya Furuki, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Scientific Reports|April 5, 2020
Multi-objective optimization for EEG channel selection and accurate intruder detection in an EEG-based subject identification systemLuis Alfredo Moctezuma, Marta Molinas
Scientific Reports|September 11, 2020
Towards a minimal EEG channel array for a biometric system using resting-state and a genetic algorithm for channel selectionLuis Alfredo Moctezuma, Marta Molinas
Frontiers in Neuroscience|July 7, 2020
EEG Channel-Selection Method for Epileptic-Seizure Classification Based on Multi-Objective OptimizationLuis Alfredo Moctezuma, Marta Molinas
Journal of Biomedical Research|June 21, 2020
Classification of low-density EEG for epileptic seizures by energy and fractal features based on EMDLuis Alfredo Moctezuma, Marta Molinas
Scientific Reports|March 4, 2022
Two-dimensional CNN-based distinction of human emotions from EEG channels selected by multi-objective evolutionary algorithmLuis Alfredo Moctezuma, Takashi Abe, Marta Molinas
Sleep Advances : a Journal of the Sleep Research Society|October 27, 2025
From high- to low-density EEG for automatic classification of dream experiences during stage 2 of NREMLuis Alfredo Moctezuma, Marta Molinas, Takashi Abe
Biomed Research International|February 18, 2025
Unlocking Dreams and Dreamless Sleep: Machine Learning Classification With Optimal EEG ChannelsLuis Alfredo Moctezuma, Marta Molinas, Takashi Abe
Scientific Reports|July 2, 2022
Automated methodology for optimal selection of minimum electrode subsets for accurate EEG source estimation based on Genetic Algorithm optimizationAndres Soler, Luis Alfredo Moctezuma, Eduardo Giraldo, et al.
Scientific Reports|August 2, 2024
GRU-powered sleep stage classification with permutation-based EEG channel selectionLuis Alfredo Moctezuma, Yoko Suzuki, Junya Furuki, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Enhancing sleep stage classification with 2-class stratification and permutation-based channel selectionLuis Alfredo Moctezuma, Yoko Suzuki, Junya Furuki, et al.
Pageof 1