Publications

C. A. Reyes-García and A. A. Torres-García. “Fuzzy logic and fuzzy systems”. In: Biosignal Processing and Classification Using Computational Learning and Intelligence: Principles, Algorithms, and Applications. Ed. by A. A. Torres-García, C. A. Reyes-García, L. Villaseñor-Pineda, and O. Mendoza-Montoya. United Kingdom: Elsevier, 2022, pp. 153–176. E-ISBN: 9780128204283. ISBN: 9780128201251. 

A. A. Torres-García, O. Mendoza-Montoya, M. Molinas, J. M. Antelis, L. A. Moctezuma, and T. Hernández-Del-Toro. “Pre-processing and feature extraction”. In: Biosignal Processing and Classification Using Computational Learning and Intelligence: Principles, Algorithms, and Applications. Ed. by A. A. Torres-García, C. A. Reyes-García, L. Villaseñor-Pineda, and O. Mendoza-Montoya. United Kingdom: Elsevier, 2022, pp. 59–91. E-ISBN: 9780128204283. ISBN: 9780128201251. 

A. A. Torres-García, C. A. Reyes-García, and L. Villaseñor-Pineda. “A survey on EEG-based imagined speech classification”. In: Biosignal Processing and Classification Using Computational Learning and Intelligence: Principles, Algorithms, and Applications. Ed. by A. A. Torres-García, C. A. Reyes-García, L. Villaseñor-Pineda, and O. Mendoza- Montoya. United Kingdom: Elsevier, 2022, pp. 251–270. E-ISBN: 9780128204283. ISBN: 9780128201251. 

A. A. Torres-García, C. A. Reyes-García, L. Villaseñor-Pineda, and O. Mendoza-Montoya. “Introduction to this book”. In: Biosignal Processing and Classification Using Computational Learning and Intelligence: Principles, Algorithms, and Applications. Ed. by A. A. Torres-García, C. A. Reyes-García, L. Villaseñor-Pineda, and O. Mendoza-Montoya. United Kingdom: Elsevier, 2022, pp. 3–6. E-ISBN: 9780128204283. ISBN: 9780128201251.

A. A. Torres-García, E. F. González-Castañeda,  C. A. Reyes-García, and L. Villaseñor-Pineda. "Hacia la decodificación de habla imaginada registrada mediante electroencefalogramas". In: Aportes a la comprensión del comportamiento humano, chapter 11. Ed. by V.Reyes-Meza, J. Castro-Manzano, L. Villaseñor-Pineda. Colombia: Editorial Aula de Humanidades, 2020, pp-141-156. ISBN: 978-958-5111-66-0 (printed) e ISBN: 978-958-5111-67-7 (online).

C. A. Reyes-García, A. A. Torres-García, L. Villaseñor-Pineda, and J. Leybón. “Introducción a las Interfaces Cerebro Computadora”. In: La Interacción Humano-Computadora en México, chapter: 14. Ed. by J. Muñoz-Arteaga, J. M. González-Calleros, and A. Sánchez-Huitrón. México: Pearson Education, 2015, pp.255–280. ISSN: 978-607-32-2720-9. Table of Contents

 A. A. Torres-García, F. Martinez-Santiago, A. Montejo-Ráez, and  L. Ureña-López. “Toward an educative EEG-based neuroIIR system for adapting contents”. In: International Journal of Human–Computer Interaction (2023), pp. ?-? . ISSN: 1044-7318. Online ISSN: 1532-7590. Paper

J. M. Macías-Macías, J. A. Ramírez-Quintana, M. I. Chacón-Murguía,  A. A. Torres-García, and L. F. Corral-Martínez. “Interpretation of a deep analysis of speech imagery features extracted by a capsule neural network”. In: Computers in Biology and Medicine 159 (2023), pp. –. ISSN: 0010-4825. Paper

J. García-Salinas, A. A. Torres-García, C. A. Reyes-García, and L. Villaseñor-Pineda. “Intra-subject class-incremental deep learning approach for EEG-based imagined speech recognition”. In: Biomedical Signal Processing and Control 81 (2023), In press. ISSN: 1746-8094. Paper

J. Andreu-Perez, H. Perez-Espinosa, E. Timonet, M. Kiani, M. I. Giron-Perez, A. B. Benitez-Trinidad, D. Jarchi, A. Rosales, N. Gkatzoulis, O. F. Reyes-Galaviz, A. A. Torres-García, C. Alberto Reyes-Garcia, Z. Ali, and F. Rivas. “A Generic Deep Learning Based Cough Analysis System from Clinically Validated Samples for Point-of-Need Covid-19 Test and Severity Levels”. In: IEEE Transactions on Services Computing 15.3 (2022), pp. 1220–1232. doi: 10.1109/TSC.2021.3061402. ISSN: 1939-1374. Paper

F. Martinez-Santiago, A. A. Torres-García, A. Montejo-Ráez, and N. Gutiérrez-Palma. “The impact of reading fluency level on interactive information retrieval”. In: Universal Access in the Information Society (2021), pp. 1–17. E-ISSN: 1615-5297. ISSN: 1615-5289.

J. García-Salinas, L. Villaseñor-Pineda, C. A. Reyes-García, and A. A. Torres-García. “Transfer learning in imagined speech EEG-based BCIs”. In: Biomedical Signal Processing and Control 50 (2019), pp. 151–157. ISSN: 1746-8094. Paper

C. Manfredi, R. Viellevoye, S. Orlandi, A. A. Torres-García, G. Pieraccini, and C. A. Reyes-García. “Automated analysis of newborn cry: relationships between melodic shapes and native language”. In: Biomedical Signal Processing and Control 53 (2019), In press. ISSN: 1746-8094.  Paper 

L. A. Moctezuma, A. A. Torres-García, L. Villaseñor-Pineda, and M. Carrillo-Ruíz. “Subjects Identification using EEG-recorded Imagined Speech”. In: Expert Systems With Applications 118 (2019), pp. 201–208. ISSN: 0957-4174. Paper

H. Pérez-Espinosa and A. A. Torres-García. “Evaluation of quantitative and qualitative features for the acoustic analysis of domestic dogs’ vocalizations”. In: Journal of Intelligent and Fuzzy Systems 36.5 (2019), pp. 5051–5061. 1875-8967.  Paper

J. García-Salinas, L. Villaseñor-Pineda, C. A. Reyes-García, and A. A. Torres-García. “Selección de parámetros en el enfoque de bolsa de características para clasificación de habla imaginada en electroencefalogramas”. In: Research in Computing Science 140 (2017), pp. 123-133. ISSN: 1870-4069.  Paper

E. F. González-Castañeda, A. A. Torres-García, C. A. Reyes-García, and L. Villaseñor-Pineda. “Sonification and Textification: Proposing Methods for Classifying Unspoken Words from EEG Signals”. In: Biomedical Signal Processing and Control 37 (2017), pp. 82–91. ISSN: 1746-8094. Paper

J. N. López-Espejel, M. Carrillo-Ruíz, L. Villaseñor-Pineda, and A. A. Torres-García. “Hacia un método de transferencia de aprendizaje en señales de EEG de habla imaginada”. In: Research in Computing Science 140 (2017), pp. 165–174. ISSN: 1870-4069.  Paper

L. A. Moctezuma, M. Carrillo-Ruíz, L. Villaseñor-Pineda, and A. A. Torres-García. “Hacia la clasificación de actividad e inactividad lingüística a partir de señales de electroencefalogramas (EEG)”. In: Research in Computing Science 140 (2017), pp. 135–149. ISSN: 1870-4069. Paper

J. A. Fortoul-Díaz, A. L. Reyes-Herrera, A. A. Torres-García, and L. Villaseñor-Pineda. “Hacia un método para identificación del idioma a través de información acústica”. In: Research in Computing Science 115 (2016), pp. 67-78. ISSN: 1870-4069. Paper

A. A. Torres-García, C. A. Reyes-García, L. Villaseñor-Pineda, and G. García-Aguilar. “Implementing a Fuzzy Inference System in a Multi-Objective EEG Channel Selection Model for Imagined Speech Classification”. In: Expert Systems with Applications 59 (2016), pp. 1–12. ISSN: 0957-4174. Paper

E. F. González-Castañeda, A. A. Torres-García, C. A. Reyes-García, and L. Villaseñor-Pineda. “Aplicación de la Sonificación de Señales Cerebrales en Clasificación Automática”. In: Revista Mexicana de Ingeniería Biomédica 36.3 (2015), pp. 233–247. ISSN: 0188-9532. Paper

E. González-Castañeda, A. A. Torres-García, C. Reyes-García, and L. Villaseñor-Pineda. “Sonificación de EEG para la clasificación de palabras no pronunciadas”. In: Research in Computing Science 74 (2014), pp. 61–72. ISSN:1870-4069. Paper

A. A. Torres-García, C. A. Reyes-García, and L. Villaseñor-Pineda. “Wrapper Method based on Soft Computing for Channel Selection in Brain Computer Interfaces”. In: Research in Computing Science 61 (2013), pp. 53–62. ISSN:1870-4069.  Paper

A. A. Torres-García, C. A. Reyes-García, L. Villaseñor-Pineda, and J. M. Ramírez-Cortes. “Análisis de Señales Electroencefalográficas para la Clasificación de Habla Imaginada”. In: Revista Mexicana de Ingeniería Biomédica 34.1 (2013), pp. 23–39. ISSN: 0188-9532. Paper

A. A. Torres-García, S Gamboa, O Hernández, A Martínez, A Pérez, W Torres, J Camas, M Pérez, H Castañón. “Diseño de un mouse óptico facial para pacientes que presentan discapacidad parapléjica”.In: Rev. Cub. Física 27.1 (2010), pp. 23–27. ISSN: 0253-9268. Paper

A. A. Torres-García, J. Ramírez Quintana, E. A. Salazar-González, F. E. Acosta-Espinoza and C.A. Reyes-García “Toward a Brain-controlled Electric Wheelchair based on Steady State Visual Evoked Potentials”. In: IEEE EMBS R9 Conference, 2024. Paper

J. Muñoz-Montes de Oca, H. Romero-Morales, A. A. Torres-García and L. Villaseñor-Pineda “A Novel Feature Extraction Method for Classifying EEG signals of two types of Reading: Normal Reading and Task-Specific Reading”. In: IEEE EMBS R9 Conference. 2024. Paper

J. M. Macías-Macías, J. A. Ramírez-Quintana, A. A. Torres-García, and M. I. Chacón-Murguía. “Recognition of P300 Wave and SSVEP using a Capsule Neural Network”. In: International Conference On Electrical Engineering, Computing Science and Automatic Control (CCE 2022). Nov. 9-11, 2022, In press. ISSN: 2642-3766 (ONLINE). E-ISBN:978-1-6654-5508-4

A. A. Torres-García, J. García-Salinas, and L. L. Villaseñor-Pineda. “Pursuing the Deep-Learning-Based Classification of Exposed and Imagined Colors from EEG”. In: Advances in Computational Intelligence. MICAI 2022. Monterrey, Mexico: Springer, Oct. 24–29, 2022, In press. ISBN: Pendiente. 

J. A. Ramirez-Quintana, V. Gonzalez-Navarro, A. D. Corral-Saenz, E. G. Hernandez-Vega, and A. A. Torres-García. “Interfaz Cerebro-computadora de Procesamiento en Borde para Detección de Artefactos de Parpadeo en Señales EEG”. In: 44to. Congreso Internacional Ingeniería Electrónica (ELECTRO 2022). Chihuahua, Mexico, Oct. 12–14, 2022, pp. 169-174. ISSN: 1405-2172. 

A. A. Torres-García, P. Tecuanhuehue-Vera, and G. Y. López-Juárez. “Hacia la Enseñanza del Pensamiento Computacional como materia básica de la Preparatoria en México”. In: Seminario de Pensamiento Computacional en México. Guadalajara, Mexico, Ene. 28–29, 2021, pp. 83–100. Paper

A. A. Torres-García, L. A. Moctezuma, and M. Molinas. “Assessing the impact of idle state type on the identification of RGB color exposure for BCI”. In: BIOSTEC 2020. Valletta, Malta: SciTePress, Feb. 24–26, 2020,  pp. 187–194. ISBN: 978-989-758-398-8. 

A. A. Torres-García, L. A. Moctezuma, S. Åsly, and M. Molinas. “Discriminating between color exposure and idle state using EEG signals for BCI application”. In: International Conference on e-Health and Bioengineering (EHB) 2019. Iasi, Romania: IEEE, Nov. 21–23, 2019, In press. ISSN: 2575-5145.  Paper.

A. A. Torres-García and M Molinas. “Analyzing the Recognition of Color Exposure and Imagined Color from EEG signals”. In: International Conference on BioInformatics and BioEngineering (BIBE) 2019. Athens, Greece: IEEE, Oct. 28–30 2019, pp. 386–391. ISBN: 978-1-7281-4617-1. Paper.

J. García-Salinas, L. Villaseñor-Pineda, C. A. Reyes-García, and A. A. Torres-García. “Tensor Decomposition for Imagined Speech Discrimination in EEG”. In: Advances in Computational Intelligence. MICAI 2018. Ed. by I. Batyrshin, M. Martínez-Villaseñor, and H. Ponce-Espinosa. Vol. 11289. Guadalajara, Mexico: Springer, Oct. 22–27, 2018, pp. 239–249. ISBN: 978-3-030-04496-1. Paper 

L. A. Moctezuma, M. Molinas, A. A. Torres-García, L. Villaseñor-Pineda, and M. Carrillo-Ruíz. “Towards an API for EEG-Based Imagined Speech Classification”. In: International conference on Time Series and Forecasting. Ed. by O. Valenzuela. Granada, Spain, 2018, pp. 64–75. ISBN: 978-84-17293-57-4.  Paper

C. A. Reyes-García, A. A. Torres-García, and M. A. Ruiz-Diaz. “Extracción de Características Cualitativas del Llanto de Bebé y su Clasificación para la Identificación de Patologías Utilizando Modelos Neuro-Difusos”. In: Memorias del Congreso Nacional de Ingeniería Biomédica. Vol. 5. 1. León, Gto., México, 2018, pp. 106–109. ISSN: 2395-8928. Paper

C. A. Reyes-García, A. A. Torres-García, and M. A. Ruiz-Diaz. “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”. In: Proceedings of the International Conference on Rural and Elderly Health Informatics (IREHI 2018). Vol. 2544. Cotonou, Benin: CEUR-WS, Dec. 3–4 2018, pp. 39–43. ISSN: 1613-0073. Paper

J. García-Salinas, L. Villaseñor-Pineda, C. A. Reyes-García, and A. A. Torres-García. “Transfer learning on imagined speech electroencephalogram using bag of features”. In: Models and analysis of vocal emissions for biomedical applications : 10 th international workshop. Ed. by C. Manfredi. Florence, Italy, 2017, pp. 59–62. ISBN: 978-88-6453-606-4. Paper

C. Manfredi, G. Pieraccini, R. Viellevoye, A. A. Torres-García, and C. A. Reyes-García. “Relationships between newborns’ cry melody shapes and native language”. In: Models and analysis of vocal emissions for biomedical applications : 10 th international workshop. Ed. by C. Manfredi. Florence, Italy, 2017, pp. 47–50. ISBN: 978-88- 6453-606-4.  Paper

C. Manfredi, G. Pieraccini, R. Viellevoye, A. A. Torres-García, and C. A. Reyes-García. “Babies’ voices: a collaborative research program on the automated acoustical analysis of the preterm newborn cry”. In: Models and analysis of vocal emissions for biomedical applications : 10 th international workshop. Ed. by C. Manfredi. Florence, Italy, 2017, pp. 41–45. ISBN: 978-88-6453-606-4.  Paper

E. F. González-Castañeda, A. A. Torres-García, A. Rosales-Pérez, C. A. Reyes-García, and L. Villaseñor-Pineda. “EEG sonification for Classifying Unspoken Words”. In: Models and analysis of vocal emissions for biomedical applications : 9 th international workshop. Florence, Italy, 2015, pp. 63–66. ISBN: 978-88-6655-793-7.  Paper

A. A. Torres-García, C. A. Reyes-García, and L. Villaseñor-Pineda. “Toward a Silent Speech Interface based on Unspoken Speech”. In: BIOSIGNALS 2012 (BIOSTEC). Algarve, Portugal: SciTePress, Feb. 2012, pp. 370–373. ISBN: 978-989-8425-89-8.  Paper

A. A. Torres-García, C. Reyes-García, and L. Villaseñor-Pineda. “Hacia la clasificacion de habla no pronunciada mediante electroencefalogramas (EEG)”. In: XXXIV Congreso Nacional de Ingeniería Biomédica. Ixtapa-Zihuatanejo, Mexico, Oct. 5–8 2011, pp. 9–12. Paper

L. A. Moctezuma, A. A. Torres-García, and M. Molinas. “David versus Goliath: Low-density EEG unravels its power through adaptive signal analysis - FlexEEG”. In: 4th HBP Student Conference On Interdisciplinary Brain Research. Pisa, Italy, Jan. 21-23 2020. 

A. A. Torres-García, L. A. Moctezuma, and M. Molinas. “Towards a BCI based on Color Exposure Recognition”. In: 4th HBP Student Conference On Interdisciplinary Brain Research. Pisa, Italy, Jan. 21-23 2020.  

F. Orihuela-Espina, A. A. Torres-García, C. Cruz-Martínez, L. Villaseñor-Pineda, and F. J. Martínez-Santiago. “OntoNIRS: Can we automatize and optimize experiment design and analysis in NIRS neuroimaging for more rigorous interpretation?” In: 5th Functional Near Infrared Spectroscopy (fNIRS). Ed. by Turgut Durduran and Gentaro Taga. Tokio, Japan, Oct. 2018, In press.   Abstract 

A. A. Torres-García, F. Martínez-Santiago, C. Cruz-Martínez, L. Villaseñor-Pineda, and F. Orihuela-Espina. “OntoNIRS; specification and conceptualization of an ontology for fNIRS neuroimaging experiment design and analysis”. In: Neuroinformatics. 2018.  Abstract

A. A. Torres-García, E. F. González-Castañeda, C. A. Reyes-García, and L. Villaseñor-Pineda. “On the pursuit of classification of EEG recorded during imagined speech”. In: Proceedings of the 6th International Brain-Computer Interface Meeting. Pacific Grove, California, USA, May 30 – Jun. 3 2016. ISBN: 978-3-85125-467-9. Abstract