EEG channel-selection method for epileptic-seizure classification based on multi-objective optimization LA Moctezuma, M Molinas Frontiers in neuroscience 14, 593, 2020 | 95 | 2020 |
Classification of low-density EEG for epileptic seizures by energy and fractal features based on EMD LA Moctezuma, M Molinas Journal of biomedical research 34 (3), 180, 2020 | 50 | 2020 |
Subjects identification using EEG-recorded imagined speech LA Moctezuma, AA Torres-García, L Villaseñor-Pineda, M Carrillo Expert Systems with Applications 118, 201-208, 2019 | 49 | 2019 |
Multi-objective optimization for EEG channel selection and accurate intruder detection in an EEG-based subject identification system LA Moctezuma, M Molinas Scientific reports 10 (1), 5850, 2020 | 46 | 2020 |
Towards a minimal EEG channel array for a biometric system using resting-state and a genetic algorithm for channel selection LA Moctezuma, M Molinas Scientific Reports 10 (1), 1-14, 2020 | 36 | 2020 |
Two-dimensional CNN-based distinction of human emotions from EEG channels selected by multi-objective evolutionary algorithm LA Moctezuma, T Abe, M Molinas Scientific Reports 12 (1), 3523, 2022 | 35 | 2022 |
Pre-processing and feature extraction AA Torres-García, O Mendoza-Montoya, M Molinas, JM Antelis, ... Biosignal processing and classification using computational learning and …, 2022 | 31 | 2022 |
EEG-based subjects identification based on biometrics of imagined speech using EMD LA Moctezuma, M Molinas Brain Informatics: International Conference, BI 2018, Arlington, TX, USA …, 2018 | 26 | 2018 |
Subject identification from low-density EEG-recordings of resting-states: A study of feature extraction and classification LA Moctezuma, M Molinas Future of Information and Communication Conference, 830-846, 2019 | 25 | 2019 |
Event-related potential from eeg for a two-step identity authentication system LA Moctezuma, M Molinas 2019 IEEE 17th International Conference on Industrial Informatics (INDIN) 1 …, 2019 | 21 | 2019 |
Automated methodology for optimal selection of minimum electrode subsets for accurate EEG source estimation based on Genetic Algorithm optimization A Soler, LA Moctezuma, E Giraldo, M Molinas Scientific Reports 12 (1), 11221, 2022 | 20 | 2022 |
Towards Universal EEG systems with minimum channel count based on Machine Learning and Computational Intelligence LA Moctezuma NTNU, 2021 | 11 | 2021 |
GRU-powered Sleep Stage Classification with Permutation-Based EEG Channel Selection LA Moctezuma, Y Suzuki, J Furuki, M Molinas, T Abe Scientific reports 14, 17952, 2024 | 10 | 2024 |
Sex differences observed in a study of EEG of linguistic activity and resting-state: Exploring optimal EEG channel configurations LA Moctezuma, M Molinas 2019 7th International Winter Conference on Brain-Computer Interface (BCI), 1-6, 2019 | 9 | 2019 |
Distinción de estados de actividad e inactividad lingüıstica para interfaces cerebro computadora LAM Pascual Benemérita Universidad Autónoma de Puebla, Puebla, 2017 | 9 | 2017 |
Towards EEG-based signals classification of RGB color-based stimuli. SH Åsly, LA Moctezuma, M Molinas, M Gilde GBCIC, 2019 | 8 | 2019 |
Towards an API for EEG-based imagined speech classification LA Moctezuma, MM Molinas Cabrera ITISE 2018-International Conference on Time Series and Forecasting, 2018 | 8 | 2018 |
EEG-based 5-and 2-class CNN for sleep stage classification LA Moctezuma, T Abe, M Molinas IFAC-PapersOnLine 56 (2), 3211-3216, 2023 | 7 | 2023 |
Assessing the impact of idle state type on the identification of RGB color exposure for BCI AA Torres-Garcıa, LA Moctezuma, M Molinas Proceedings of the 13th International Joint Conference on Biomedical …, 2020 | 7 | 2020 |
Dream emotions identified without awakenings by machine and deep learning from Electroencephalographic signals in REM sleep LA Moctezuma, F Ipanaque, M Molinas, T Abe 2023 IEEE International Conference on Metrology for eXtended Reality …, 2023 | 6 | 2023 |