Toward a Silent Speech Interface based on Unspoken Speech. - Alejandro Antonio Torres García; Carlos A. Reyes García; Luis Villaseñor Pineda (BIOSIGNALS, 2012)

Sonificación de EEG para la clasificación de palabras no pronunciadas. - Erick Fernando González-Castañeda; Alejandro Antonio Torres García; Carlos A. Reyes García; Luis Villaseñor Pineda (Res. Comput. Sci., 2014)

Implementing a fuzzy inference system in a multi-objective EEG channel selection model for imagined speech classification. - Alejandro Antonio Torres García; Carlos A. Reyes García; Luis Villaseñor Pineda; Gregorio García-Aguilar (Expert Syst. Appl., 2016)

Hacia un método para identificación del idioma a través de información acústica. - Jesús Anselmo Fortoul-Díaz; Ana Lilia Reyes-Herrera; Alejandro Antonio Torres García; Luis Villaseñor Pineda (Res. Comput. Sci., 2016)

Sonification and textification: Proposing methods for classifying unspoken words from EEG signals. - Erick Fernando González-Castañeda; Alejandro Antonio Torres García; Carlos A. Reyes García; Luis Villaseñor Pineda (Biomed. Signal Process. Control., 2017)

Hacia un método de transferencia de aprendizaje en señales de EEG de habla imaginada. - Jessica Nayeli López Espejel; Maya Carrillo-Ruíz; Luis Villaseñor Pineda; Alejandro Antonio Torres García (Res. Comput. Sci., 2017)

Selección de parámetros en el enfoque de bolsa de características para clasificación de habla imaginada en electroencefalogramas. - Jesús S. García-Salinas; Luis Villaseñor Pineda; Carlos Alberto Reyes García; Alejandro Antonio Torres García (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)

On the Development of a Non-Invasive Pathologies Identification System by Qualitative and Quantitative Characterization of Infant Crying and the Application of Intelligent Classification Models to be Used in Rural Environments. - Carlos Alberto Reyes García; Alejandro Antonio Torres García; María Antonia Ruíz Díaz (IREHI, 2018)

Tensor Decomposition for Imagined Speech Discrimination in EEG. - Jesús S. García-Salinas; Luis Villaseñor Pineda; Carlos Alberto Reyes García; Alejandro Antonio Torres García (MICAI (2), 2018)

Analyzing the Recognition of Color Exposure and Imagined Color from EEG Signals. - Alejandro Antonio Torres García; Marta Molinas (BIBE, 2019)

Transfer learning in imagined speech EEG-based BCIs. - Jesús S. García-Salinas; Luis Villaseñor Pineda; Carlos A. Reyes García; Alejandro Antonio Torres García (Biomed. Signal Process. Control., 2019)

Automated analysis of newborn cry: relationships between melodic shapes and native language. - Claudia Manfredi; Renaud Viellevoye; Silvia Orlandi; Alejandro Antonio Torres García; Giuseppe Pieraccini; Carlos Alberto Reyes García (Biomed. Signal Process. Control., 2019)

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

Evaluation of quantitative and qualitative features for the acoustic analysis of domestic dogs' vocalizations. - Humberto Pérez Espinosa; Alejandro Antonio Torres García (J. Intell. Fuzzy Syst., 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)

Recognition of P300 Wave and SSVEP using a Capsule Neural Network. - José Manuel Macías-Macías; Juan A. Ramirez-Quintana; Alejandro Antonio Torres García; Mario Ignacio Chacon Murguia (CCE, 2022)

Pursuing the Deep-Learning-Based Classification of Exposed and Imagined Colors from EEG. - Alejandro Antonio Torres García; Jesús S. García-Salinas; Luis Villaseñor Pineda (MICAI (1), 2022)

A Generic Deep Learning Based Cough Analysis System From Clinically Validated Samples for Point-of-Need Covid-19 Test and Severity Levels. - Javier Andreu-Perez; Humberto Pérez Espinosa; Eva Timonet; Mehrin Kiani; Manuel I. Girón-Pérez; Alma B. Benitez-Trinidad; Delaram Jarchi; Alejandro Rosales-Pérez; Nick Gatzoulis; Orion Fausto Reyes-Galaviz; Alejandro Antonio Torres García; Carlos A. Reyes García; et al. (IEEE Trans. Serv. Comput., 2022)

Intra-subject class-incremental deep learning approach for EEG-based imagined speech recognition. - Jesús S. García-Salinas; Alejandro Antonio Torres García; Carlos A. Reyes García; Luis Villaseñor Pineda (Biomed. Signal Process. Control., 2023)

The impact of reading fluency level on interactive information retrieval. - Fernando Martínez Santiago 001; Alejandro Antonio Torres García; Arturo Montejo-Ráez; Nicolás Gutiérrez-Palma (Univers. Access Inf. Soc., 2023)

Interpretation of a deep analysis of speech imagery features extracted by a capsule neural network. - José Manuel Macías-Macías; Juan A. Ramirez-Quintana; Mario Ignacio Chacon Murguia; Alejandro Antonio Torres García; Luis F. Corral-Martinez (Comput. Biol. Medicine, 2023)

Emotion Recognition Method Based on EEG Signal Processing, Simplified Inception Network and Discrete Model. - Juan A. Ramirez-Quintana; Felipe E. Garay Acuña; Mario Ignacio Chacon Murguia; Alejandro Antonio Torres García; Alma Delia Corral Sáenz (MICAI (2), 2024)

Toward an Educative EEG-Based neuroIIR System for Adapting Contents. - Alejandro Antonio Torres García; Fernando Martínez Santiago 001; Arturo Montejo-Ráez; Luis Alfonso Ureña López (Int. J. Hum. Comput. Interact., 2024)

Evaluating Hemodynamic Responses in the Action Observation Network: an fNIRS Study on Motor Task Type and Stimulus Duration. - Edgar R. González-Campos; Carlos Alberto Reyes García; Alejandro Antonio Torres García (CBMS, 2025)