| EEG channel-selection method for epileptic-seizure classification based on multi-objective optimization LA Moctezuma, M Molinas Frontiers in neuroscience 14, 593, 2020 | 57 | 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 | 38 | 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 | 35 | 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 | 31 | 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 | 23 | 2020 |
| Subject identification from low-density EEG-recordings of resting-states: A study of feature extraction and classification LA Moctezuma, M Molinas Advances in Information and Communication: Proceedings of the 2019 Future of …, 2020 | 22 | 2020 |
| 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 | 22 | 2018 |
| 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 | 16 | 2019 |
| 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 | 15 | 2022 |
| Distinción de estados de actividad e inactividad lingüística para interfaces cerebro computadora LA Moctezuma Pascual, LA MOCTEZUMA PASCUAL Benemérita Universidad Autónoma de Puebla, 2017 | 9 | 2017 |
| Towards EEG-based signals classification of RGB color-based stimuli. SH Åsly, LA Moctezuma, M Molinas, M Gilde GBCIC, 2019 | 7 | 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 | 7 | 2018 |
| 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 | 6 | 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 | 6 | 2022 |
| Towards Universal EEG systems with minimum channel count based on Machine Learning and Computational Intelligence LA Moctezuma NTNU, 2021 | 5 | 2021 |
| 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 | 5 | 2020 |
| 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 | 5 | 2019 |
| Hacia la clasificación de actividad e inactividad lingüística a partir de señales de electroencefalogramas (EEG). LA Moctezuma, M Carrillo, LV Pineda, AAT García Res. Comput. Sci. 140, 135-149, 2017 | 5 | 2017 |
| Discriminating between color exposure and idle state using EEG signals for BCI application AA Torres-García, LA Moctezuma, S Åsly, M Molinas 2019 E-Health and Bioengineering Conference (EHB), 1-5, 2019 | 3 | 2019 |
| EEG-based 5-and 2-class CNN for sleep stage classification LA Moctezuma, T Abe, M Molinas The 22nd World Congress of the International Federation of Automatic Control, 2023 | 2 | 2023 |
Marta MolinasNorwegian University of Science and Technology, Department of Engineering CyberneticsVerified email at ntnu.no
