Publications

Most of my publications are available at Google Scholar and ResearchGate

ORCID: 0000-0002-6632-8784   |   ResearcherID: A-7857-2019   |   Scopus: 57204181960

Journal Articles: 11

45.. Ipanaque, Felix, Moctezuma, Luis Alfredo, Suzuki, Yurina, Molinas, Marta, Abe, Takashi. (2026). Toward Machine Learning Classification of Emotional Dream Content: A comparative study of Dream and Wake Affect. [in progress]

44.. Moctezuma, Luis Alfredo, Molinas, Marta, Abe, Takashi. (2025). From high- to low-density EEG for automatic classification of dream experiences during stage 2 of NREM. SLEEP Advances. doi: 10.1093/sleepadvances/zpaf066

43.. Moctezuma, Luis Alfredo, Molinas, Marta, Abe, Takashi. (2024). Unlocking Dreams and Dreamless Sleep: Machine Learning Classification with Optimal EEG Channels. BioMed Research International. doi: 10.1155/bmri/3585125

42.. Moctezuma, Luis Alfredo, Suzuki, Yoko, Furuki, Junya, Molinas, Marta, Abe, Takashi. (2024). GRU-powered Sleep Stage Classification with Permutation-Based EEG Channel Selection. Scientific Reports. doi: 10.1038/s41598-024-68978-4

41.. Soler-Guevara, Andres Felipe, Moctezuma, Luis Alfredo, Giraldo, Eduardo, Molinas, Marta. (2022). Automated methodology for optimal selection of minimum electrode subsets for accurate EEG source estimation based on Genetic Algorithm optimization. Scientific Reports. doi: 10.1038/s41598-022-15252-0

40.. Moctezuma, Luis Alfredo, Abe, Takashi, Molinas, Marta. (2022). Two-dimensional CNN-based distinction of human emotions from EEG channels selected by Multi-Objective evolutionary algorithm. Scientific Reports. doi: 10.1038/s41598-022-07517-5

39.. Moctezuma, Luis Alfredo, Molinas, Marta. (2020). Towards a minimal EEG channel array for a biometric system using resting-state and a genetic algorithm for channel selection. Scientific Reports. doi: 10.1038/s41598-020-72051-1

38.. Moctezuma, Luis Alfredo, Molinas, Marta. (2020). EEG Channel-selection method for epileptic-seizure classification based on multi-objective optimization. Frontiers in Neuroscience. doi: 10.3389/fnins.2020.00593

37.. Moctezuma, Luis Alfredo, Molinas, Marta. (2020). Multi-objective optimization for EEG channel selection and accurate intruder detection in an EEG-based subject identification system. Scientific Reports. doi: 10.1038/s41598-020-62712-6

36.. Moctezuma, Luis Alfredo, Molinas, Marta. (2019). Classification of low-density EEG for epileptic seizures by energy and fractal features based on EMD. Journal of Biomedical Research. Vol. 33. doi: 10.7555/JBR.33.20190009

35.. Moctezuma, Luis Alfredo, Torres-García, Alejandro A., Villaseñor-Pineda, Luis, Carrillo, Maya. (2019). Subjects identification using EEG-recorded imagined speech. Expert Systems with Applications. Vol. 118, 201-208. doi: 10.1016/j.eswa.2018.10.004

Peer-reviewed Conferences: 22

34.. Moctezuma, Luis Alfredo, Ipanaque, Felix, Suzuki, Yurina, Molinas, Marta, Abe, Takashi. (2025). Emotion Recognition Across Wakefulness and Sleep Using High-Density EEG and Machine Learning Techniques. The 18th International Conference on Brain Informatics (BI 2025). doi: 10.1007/978-981-95-9575-4_8

33.. Moctezuma, Luis Alfredo, Furuki, Junya, Suzuki, Yoko, Molinas, Marta, Abe, Takashi. (2025). Sleep Staging with Gradient Boosting and DWT-PSD Features from EEG/EOG Signals. The 33th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2025). doi: 10.14428/esann/2025.ES2025-16

32.. Packiyanathan, Mithila, Torvestad, André, Moctezuma, Luis Alfredo, Molinas, Marta. (2024). Exploring High- and Low-Density Electroencephalography for a Dream Decoding Brain-Computer Interface. The 32th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2024). doi: 10.14428/esann/2024.ES2024-115

31.. Torvestad, André, Packiyanathan, Mithila, Moctezuma, Luis Alfredo, Molinas, Marta. (2024). Unveiling Dreams: Moving Towards Automatic Dream Decoding via qualitative EEG Analysis and Machine Learning. The 32th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2024). doi: 10.14428/esann/2024.ES2024-164

30.. Moctezuma, Luis Alfredo, Furuki, Junya, Suzuki, Yoko, Molinas, Marta, Abe, Takashi. (2024). Enhancing sleep stage classification with 2-class stratification and permutation-based channel selection. The 46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 2024). doi: 10.1109/EMBC53108.2024.10781882

29.. Moctezuma, Luis Alfredo, Ipanaque, Felix, Molinas, Marta, Abe, Takashi. (2023). Emotions of dreams identified without awakenings by machine and deep learning from Electroencephalographic signals in REM sleep. IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE 2023). doi: 10.1109/MetroXRAINE58569.2023.10405808

28.. Seljevoll Herleiksplass, Karoline, Moctezuma, Luis Alfredo, Furuki, Junya, Suzuki, Yoko, Molinas, Marta, Abe, Takashi. (2023). Automatic sleep-wake scoring with optimally selected EEG channels from high density EEG. The 16th International Conference on Brain Informatics (BI 2023). doi: 10.1007/978-3-031-43075-6_36

27.. Moctezuma, Luis Alfredo, Sato, Kazuki, Molinas, Marta, Abe, Takashi. (2023). Decoding emotion dimensions arousal and valence elicited on EEG responses to videos and images: a comparative evaluation. The 16th International Conference on Brain Informatics (BI 2023). doi: 10.1007/978-3-031-43075-6_7

26.. Moctezuma, Luis Alfredo, Abe, Takashi, Molinas, Marta. (2023). EEG-based 5- and 2-class CNN for Sleep Stage Classification. The 22nd World Congress of the International Federation of Automatic Control (IFAC 2023). doi: 10.1016/j.ifacol.2023.10.1458

25.. Torres-Garcia, Alejandro A., Moctezuma, Luis Alfredo, Molinas, Marta. (2020). Assessing the impact of idle state type on the identification of RGB color exposure for BCI. The 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020). doi: 10.5220/0008923101870194

24.. Torres-Garcia, Alejandro A., Moctezuma, Luis Alfredo, Asly, Sara, Molinas, Marta. (2019). Discriminating between color exposure and idle state using EEG signals for BCI application. The 7th edition of the International Conference on e-Health and Bioengineering (EHB 2019). doi: 10.1109/EHB47216.2019.8969919

23.. Asly, Sara, Moctezuma, Luis Alfredo, Gilde, Monika, Molinas, Marta. (2019). Towards EEG-based signals classification of RGB color-based stimuli. The 8th Graz Brain-Computer Interface Conference (GBCIC 2019). doi: 10.3217/978-3-85125-682-6-61

22.. Moctezuma, Luis Alfredo, Molinas, Marta. (2019). Event-related potential from EEG for a two-step Identity Authentication System. IEEE international conference on industrial informatics (INDIN 2019). doi: 10.1109/INDIN41052.2019.8972231

21.. Moctezuma, Luis Alfredo, Molinas, Marta. (2019). Subject identification from low-density EEG-recordings of resting-states: A study of feature extraction and classification. Future of Information and Communication Conference (FICC 2019). doi: 10.1007/978-3-030-12385-7_57

20.. Moctezuma, Luis Alfredo, Molinas, Marta. (2019). Sex differences observed in a study of EEG of linguistic activity and resting-state: Exploring optimal EEG channel configurations. The 7th International Winter Conference on Brain-Computer Interface (BCI 2019). doi: 10.1109/IWW-BCI.2019.8737312

19.. Moctezuma, Luis Alfredo, Molinas, Marta. (2018). EEG-based Subjects Identification based on Biometrics of Imagined Speech using EMD. The International Conference on Brain Informatics (BI 2018). doi: 10.1007/978-3-030-05587-5_43

18.. Moctezuma, Luis Alfredo, Molinas, Marta, Torres Garcia, AA, Villaseñor Pineda, Luis, Carrillo, Maya. (2018). Towards an API for EEG-based imagined speech classification. International Conference on Time Series and Forecasting (ITISE 2018)

17.. Moctezuma, Luis Alfredo, Carrillo, Maya, Villaseñor Pineda, Luis, Torres Garcia, Alejandro Antonio. (2017). Hacia la clasificación de actividad e inactividad lingüística a partir de señales de electroencefalogramas (EEG). Research in Computing Science. Vol. 140, 135-149. doi: 10.13053/rcs-140-1-11

16.. Jiménez, Caleb, Carrillo, Maya, Carrillo-Ruiz, Hortensia, Sandoval S., María de Lourdes, Moctezuma, Luis Alfredo. (2017). Un primer paso hacia el reconocimiento automático de escarabajos. Research in Computing Science. Vol. 140, 79-89. doi: 10.13053/rcs-140-1-7

15.. Moctezuma, Luis Alfredo, López, Jessica, Jiménez, Caleb, Carrillo, Maya, Colmenares Guillén, Luis Enrique, Ramos, J. Guadalupe. (2015). Relación contextual de palabras en libros de Shakespeare usando mapas auto-organizados. Research in Computing Science. Vol. 99, 95-103. doi: 10.13053/rcs-99-1-9

14.. Ramos, J. Guadalupe, Solís, Ricardo A., Olivares, Juan Carlos, Moctezuma, Luis Alfredo, Carrillo, Maya. (2015). Hacia la comparación precisa de productos a partir de fuentes de datos distintas en la Web. Research in Computing Science. Vol. 99, 83-93. doi: 10.13053/rcs-99-1-8

13.. Ramos, Orlando, Moctezuma, Luis Alfredo, García, Jesús, Pinto, David, Martínez, Rodolfo. (2015). Análisis sobre el idioma español en México, con base en la frecuencia de palabras azules, rojas, obscenas y vulgares en Twitter. Research in Computing Science. Vol. 99, 65-72. doi: 10.13053/rcs-99-1-6

Peer-reviewed Abstracts: 8

12.. Moctezuma, Luis Alfredo, Molinas, Marta, Abe, Takashi. (2024). EEG Signals, Machine Learning, and Optimization Techniques for Automatic Dream Detection during REM and NREM Sleep. The 13th Annual IIIS Symposium ~Science of Behaving and Sleeping Brains~

11.. Moctezuma, Luis Alfredo, Molinas, Marta, Abe, Takashi. (2024). Automated Dream Detection in NREM Sleep Stage 2 Using High- and Low-Density EEG. Asian Society of Sleep Medicine Interim Meeting (ASSM 2024)

10.. Ipanaque, Felix, Moctezuma, Luis Alfredo, Molinas, Marta, Abe, Takashi. (2024). Recognition of Emotional Affect in Dreams and Short Videos Using Convolutional Neural Networks on High-Density EEG Signals. NEURO2024, Joint Meeting of the Japan Neuroscience Society, Japanese Society for Neurochemistry, and Japanese Society of Biological Psychiatry

9.. Øverby, Marie, Moctezuma, Luis Alfredo, Molinas, Marta. (2023). EEG Channel Selection based on Feature Importance for Epileptic Seizure Classification. The 10th Annual International BCI Meeting: Balancing Innovation and Translation (BCI Meeting 2023)

8.. Jonassen, Pauline Mørch, Lønvik, Helene Tørlen, Moctezuma, Luis Alfredo, Molinas, Marta. (2023). EEG-based Motor Imagery Classification using Machine and Deep Learning. The 10th Annual International BCI Meeting: Balancing Innovation and Translation (BCI Meeting 2023)

7.. Torres-Garcia, Alejandro A., Molinas, Marta, Moctezuma, Luis Alfredo. (2020). Towards a BCI based on Color Exposure Recognition. The 4th HBP Student Conference on Interdisciplinary Brain Research (HBP 2020)

6.. Soler-Guevara, Andres Felipe, Moctezuma, Luis Alfredo, Giraldo, Eduardo, Molinas, Marta. (2020). EEG channel-selection method based on NSGA-II for source localization. The 4th HBP Student Conference on Interdisciplinary Brain Research (HBP 2020)

5.. Moctezuma, Luis Alfredo, Soler, Andres Felipe, Shad, Erwin H. T., Molinas, Marta, Torres-Garcia, Alejandro A.. (2020). David versus Goliath: Low-density EEG unravels its power through adaptive signal analysis - FlexEEG. The 4th HBP Student Conference on Interdisciplinary Brain Research (HBP 2020)

Book Chapters: 2

4.. Moctezuma, Luis Alfredo, Molinas, Marta. (2021). EEG-based subject identification with multi-class classification. Biosignal Processing and Classification using Computational Learning and Intelligence

3.. Torres-Garcia, Alejandro A., Mendoza-Montoya, Omar, Molinas, Marta, Antelis, Javier M., Moctezuma, Luis Alfredo, Hernández-Del-Toro, Tonatiuh. (2021). Pre-processing and Feature Extraction. Biosignal Processing and Classification using Computational Learning and Intelligence

Theses and Dissertations: 2

2.. Moctezuma, Luis Alfredo. (2021). Towards Universal EEG systems with minimum channel count based on Machine Learning and Computational Intelligence. doi: 10.13140/RG.2.2.30608.94727

1.. Moctezuma, Luis Alfredo. (2017). Distinción de estados de actividad e inactividad lingüística para interfaces cerebro computadora. doi: 10.13140/RG.2.2.10145.10086