Relación contextual de palabras en libros de Shakespeare usando mapas auto-organizados. - Luis Alfredo Moctezuma; Jessica López; Caleb Jiménez; Maya Carrillo; Luis Enrique Colmenares Guillén; J. Guadalupe Ramos (Res. Comput. Sci., 2015)

Análisis sobre el idioma español en México, con base en la frecuencia de palabras azules, rojas, obscenas y vulgares en Twitter. - Orlando Ramos; Luis Alfredo Moctezuma; Jesús García; David Pinto 001; Rodolfo Martínez Torres (Res. Comput. Sci., 2015)

Hacia la comparación precisa de productos a partir de fuentes de datos distintas en la Web. - J. Guadalupe Ramos; Ricardo A. Solís; Juan Carlos Olivares; Luis Alfredo Moctezuma; Maya Carrillo (Res. Comput. Sci., 2015)

Un primer paso hacia el reconocimiento automático de escarabajos. - Caleb Jiménez; Maya Carrillo; Hortensia Carrillo-Ruiz; María de Lourdes Sandoval S.; Luis Alfredo Moctezuma (Res. Comput. Sci., 2017)

Hacia la clasificación de actividad e inactividad lingüística a partir de señales de electroencefalogramas (EEG). - Luis Alfredo Moctezuma; Maya Carrillo; Luis Villaseñor Pineda; Alejandro Antonio Torres García (Res. Comput. Sci., 2017)

EEG-Based Subjects Identification Based on Biometrics of Imagined Speech Using EMD. - Luis Alfredo Moctezuma; Marta Molinas (BI, 2018)

Sex differences observed in a study of EEG of linguistic activity and resting-state: Exploring optimal EEG channel configurations. - Luis Alfredo Moctezuma; Marta Molinas (BCI, 2019)

Towards EEG-based signals classification of RGB color-based stimuli. - Sara H. Åsly; Luis Alfredo Moctezuma; Marta Molinas; Monika Gilde (GBCIC, 2019)

Event-related potential from EEG for a two-step Identity Authentication System. - Luis Alfredo Moctezuma; Marta Molinas (INDIN, 2019)

Subjects identification using EEG-recorded imagined speech. - Luis Alfredo Moctezuma; Alejandro Antonio Torres García; Luis Villaseñor Pineda; Maya Carrillo (Expert Syst. Appl., 2019)

Assessing the Impact of Idle State Type on the Identification of RGB Color Exposure for BCI. - Alejandro Antonio Torres García; Luis Alfredo Moctezuma; Marta Molinas (BIOSIGNALS, 2020)

Towards Universal EEG systems with minimum channel count based on Machine Learning and Computational Intelligence. - Luis Alfredo Moctezuma (2021)

Automatic Sleep-Wake Scoring with Optimally Selected EEG Channels from High-Density EEG. - Karoline Seljevoll Herleiksplass; Luis Alfredo Moctezuma; Junya Furuki; Yoko Suzuki; Takashi Abe; Marta Molinas (BI, 2023)

Decoding Emotion Dimensions Arousal and Valence Elicited on EEG Responses to Videos and Images: A Comparative Evaluation. - Luis Alfredo Moctezuma; Kazuki Sato; Marta Molinas; Takashi Abe (BI, 2023)

Dream Emotions Identified Without Awakenings by Machine and Deep Learning from Electroencephalographic Signals in REM Sleep. - Luis Alfredo Moctezuma; Felix Ipanaque; Marta Molinas; Takashi Abe (MetroXRAINE, 2023)

Enhancing sleep stage classification with 2-class stratification and permutation-based channel selection. - Luis Alfredo Moctezuma; Yoko Suzuki; Junya Furuki; Marta Molinas; Takashi Abe (EMBC, 2024)

Exploring High- and Low-Density Electroencephalography for a Dream Decoding Brain-Computer Interface. - Mithila Packiyanathan; André Torvestad; Marta Molinas; Luis Alfredo Moctezuma (ESANN, 2024)

Unveiling Dreams: Moving Towards Automatic Dream Decoding via PSD-Based EEG Analysis and Machine Learning. - André Torvestad; Mithila Packiyanathan; Luis Alfredo Moctezuma; Marta Molinas (ESANN, 2024)