• Cervantes, J. A., López, S., Rodríguez, L. F., Cervantes, S., Cervantes, F., & Ramos, F. (2019). Artificial Moral Agents: A Survey of the Current Status. Science and engineering ethics, 1-32.
• Osuna, E., Rodríguez, L. F., Gutierrez-Garcia, J. O., & Castro, L. A. (2020). Development of computational models of emotions: A software engineering perspective. Cognitive Systems Research, 60, 1-19.
• Felix, I. R., Castro, L. A., Rodriguez, L. F., & Banos, O. (2019). Mobile sensing for behavioral research: A component-based approach for rapid deployment of sensing campaigns. International Journal of Distributed Sensor Networks, 15(9), 1550147719874186.
• Chávez, A., Borrego, G., Gutierrez-Garcia, J. O., & Rodríguez, L. F. (2019). Design and evaluation of a mobile application for monitoring patients with Alzheimer’s disease: A day center case study. International Journal of Medical Informatics, 131, 103972.
• Ortega, M. G. S., Rodríguez, L. F., & Gutierrez-Garcia, J. O. (2019). Towards emotion recognition from contextual information using machine learning. Journal of Ambient Intelligence and Humanized Computing, 1-21.
• Castellanos, S., Rodríguez, L. F., & Gutierrez-Garcia, J. O. (2019). A mechanism for biasing the appraisal process in affective agents. Cognitive Systems Research, 58, 351-365.
• Rosales, J. H., Rodríguez, L. F., & Ramos, F. (2019). A general theoretical framework for the design of artificial emotion systems in Autonomous Agents. Cognitive Systems Research, 58, 324-341.
• Chávez, O. L., Márquez, I. N., Rodrıguez, L. F., & León, J. G. M. (2019). Synaptix: A Web Platform based on Gamification Techniques for the Study of Clinical Cases. Research in Computing Science, 148, 107-114.
• Lopez-Arredondo, L. P., Perez, C. B., Castro, L. A., & Rodriguez, L. F. (2019). Estudio sobre la Percepción de los Factores Involucrados en la Estimación de Precios de Viviendas: El Caso de Cajeme. Información tecnológica, 30(2), 11-24.
• Castellanos, S., Rodríguez, L. F., Castro, L. A., & Gutierrez-Garcia, J. O. (2018). A computational model of emotion assessment influenced by cognition in autonomous agents. Biologically inspired cognitive architectures, 25, 26-36.
• Cornejo, S. G., Caro, K., Rodriguez, L. F., Aguilar, R., Perez, C. B., & Castro, L. A. (2018). Design and Implementation of a Data Warehouse to Support Decision-Making in a Health Environment. Research in Computing Science, 147, 45-53.
• Mercado, K. E., Perez, C. B., Lopez-Arredondo, L. P., Caro, K., Castro, L. A., & Rodriguez, L. F. (2018). Agile Dimensional Model for a Data Warehouse Implementation in a Software Developer Company. Research in Computing Science, 147, 27-34.
• Ramírez, J. M. E., Ortega, M. G. S., Quintero, A. L. C., & Torres, L. F. R. (2018). Applings: aplicación móvil para el monitoreo de emociones y su contexto. Enero-Junio 2018, 21.
• Castellanos, S., & Rodríguez, L. F. (2018). A Flexible Scheme to Model the Cognitive Influence on Emotions in Autonomous Agents. International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 12(4), 81-100.
• Chávez, O. L., Rodríguez, L. F., Lugo, G. S., & Castro, L. A. (2017). Authoring Tools and Virtual Environments in Intelligent Tutoring Systems: Challenges and Opportunities. Research in Computing Science, 146, 9-16.
• Gutierrez-Garcia, J. O., & Rodríguez, L. F. (2016). Social determinants of police corruption: toward public policies for the prevention of police corruption. Policy Studies, 37(3), 216-235.
• Gutierrez‐Garcia, J. O., & Rodríguez, L. F. (2016). Corruptible social agents. Computer Animation and Virtual Worlds, 27(2), 89-102.
• Rodríguez, L. F., Gutierrez-Garcia, J. O., & Ramos, F. (2016). Modeling the interaction of emotion and cognition in autonomous agents. Biologically Inspired Cognitive Architectures, 17, 57-70.
• Pérez, J., Cerezo, E., Serón, F. J., & Rodríguez, L. F. (2016). A cognitive-affective architecture for ECAs. Biologically Inspired Cognitive Architectures, 18, 33-40.
• Cervantes, J. A., Rodríguez, L. F., López, S., Ramos, F., & Robles, F. (2016). Autonomous agents and ethical decision-making. Cognitive Computation, 8(2), 278-296.
• Salazar Lugo, G. M., García López, R. I., Balderrama Trápaga, J. A., & Rodríguez Torres, L. F. (2016). Estado afectivo en la identificación automática de estilos de aprendizaje. Apertura (Guadalajara, Jal.), 8(1), 0-0.
• Rodríguez, L. F., & Ramos, F. (2015). Computational models of emotions for autonomous agents: major challenges. Artificial Intelligence Review, 43(3), 437-465.
• Márquez, I. N., Rodríguez, L. F., Lugo, G. S., Castro, L. A., & Kono, M. D. (2015). A Framework for Automatic Identification of Learning Styles in Learning Management Systems. Research in Computing Science, 106, 59-68.
• Lugo, G. S., Rodríguez, L. F., López, R. I. G., Macías-Estrada, A., & Echeverría, M. R. (2015). Behavioral Patterns for Automatic Detection of Learning Styles in Learning Management Systems: a Case Study. Research in Computing Science, 106, 69-77.
• Castro, L. A., Rodríguez, L. F., Macías-Estrada, A., Domitsu, M., & Rodríguez, M. (2015). Coordinated Attention and Resuscitation in Code Blue Events through the CARES System: A Preliminary Evaluation. Research in Computing Science, 89, 81-88.
• Martínez, J., Palacio, R., Rodríguez, L. F., & Rodríguez-Elias, O. (2015). Flujo de conocimiento para la localización del expertise en el desarrollo de software: implicaciones de diseño. Research in Computing Science, 108, 89-96.
• Rodríguez, L. F., & Ramos, F. (2014). Development of computational models of emotions for autonomous agents: a review. Cognitive Computation, 6(3), 351-375.
• Cervantes, J. A., Rodríguez, L. F., López, S., Ramos, F., & Robles, F. (2013). Cognitive process of moral decision-making for autonomous agents. International Journal of Software Science and Computational Intelligence (IJSSCI), 5(4), 61-76.
• Barriga, S. D., Rodríguez, L. F., Ramos, F., & Ramos, M. (2013). A Computational Model of Emotional Attention for Autonomous Agents. In Transactions on Computational Science XVIII (pp. 192-211). Springer, Berlin, Heidelberg.
• Díaz, L. C. C., Estrada, A. M., Kono, M. D., Castro, L. A., & Rodríguez, L. F. Toward Automated Detection of Risky Driving Behavior Patterns in Urban Environments. Advances in Information Technology, 25.
• Rodríguez, L. F., Ramos, F., & Wang, Y. (2012). Cognitive computational models of emotions and affective behaviors. International Journal of Software Science and Computational Intelligence (IJSSCI), 4(2), 41-63.

• Rosales, J. H., Rodríguez, L. F., & Ramos, F. (2019, August). Psychological Theoretical Framework: A First Step for the Design of Artificial Emotion Systems in Autonomous Agents. In Biologically Inspired Cognitive Architectures Meeting (pp. 432-437). Springer, Cham.
• Castellanos, S., Rodríguez, L. F., & Gutierrez-Garcia, J. O. (2019, August). Configurable Appraisal Dimensions for Computational Models of Emotions of Affective Agents. In Biologically Inspired Cognitive Architectures Meeting (pp. 48-53). Springer, Cham.
• Ortega, M. G. S., Rodriguez, L. F., & Gutierrez-Garcia, J. O. (2018, April). Energy-aware data collection from the Internet of Things for building emotional profiles. In 2018 Third International Conference on Fog and Mobile Edge Computing (FMEC) (pp. 234-239). IEEE.
• Ramos-Monteon, J., Castro, L. A., Rodriguez, L. F., & Banos, O. (2018). InCense IoT: a collective sensing system for behavior data in shared spaces. In Multidisciplinary Digital Publishing Institute Proceedings (Vol. 2, No. 19, p. 1206).
• Neyoy, J. E. G., Rodríguez, L. F., & Castro, L. A. (2017, June). Decision support system for a SME in the restaurant sector: Development of a prototype. In 2017 12th Iberian Conference on Information Systems and Technologies (CISTI) (pp. 1-6). IEEE.
• Castellanos, S., Rodríguez, L. F., Castro, L. A., & Pérez, J. (2017, July). Cognitive modulation of appraisal variables in the emotion process of autonomous agents. In 2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI* CC) (pp. 102-108). IEEE.
• Rodrıguez, L. F., Castro, L. A., & Gonzalez-Padilla, O. (2017). Towards Interactive Cognitive Agents with Culturally Restricted Behaviors.
• Maya-Zapata, D., Félix, I. R., Castro, L. A., Rodríguez, L. F., & Domitsu, M. (2017, November). Couplable components for data processing in mobile sensing campaigns. In International Conference on Ubiquitous Computing and Ambient Intelligence (pp. 299-304). Springer, Cham.
• Castro, L. A., Gutiérrez, L. J., Rodríguez, L. F., & Ruíz, É. C. (2017, September). Towards context of quality in mobile sensing campaigns. In Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers (pp. 470-475).
• Salido, M. G., Rodríguez, L. F., & Castro, L. A. Modelo para identificación de estados afectivos y sus causas a través de redes de dispositivos inteligentes. Avances Científicos y Tecnológicos de las Aplicaciones de las Redes de Computadoras, 70.
• Perea, M. P. H., Castro, L. A., & Rodríguez, L. F. Implementación de un sistema de almacén de datos para preservación de datos de origen climático. Avances Científicos y Tecnológicos de las Aplicaciones de las Redes de Computadoras, 58.
• González-Olvera, X., & Rodríguez, L. F. (2016, August). Towards scalable computational models of emotions for autonomous agents. In 2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI* CC) (pp. 442-450). IEEE.
• Fernandez, J. L., Gutierrez, J. E., Castro, L. A., & Rodríguez, L. F. (2016). Integrating Business Analytics into SMEs in Mexico: Challenges and Opportunities. Avances en Interacción Humano-Computadora, (1), 41-45.
• Félix, I. R., Castro, L. A., Rodríguez, L. F., & Ruíz, E. C. (2016, November). Component-based model for on-device pre-processing in mobile phone sensing campaigns. In International Conference on Ubiquitous Computing and Ambient Intelligence (pp. 201-206). Springer, Cham.
• Félix, I. R., Castro, L. A., Rodríguez, L. F., & Ruiz, É. C. (2015, December). Mobile Phone Sensing: Current Trends and Challenges. In International Conference on Ubiquitous Computing and Ambient Intelligence (pp. 369-374). Springer, Cham.
• Cervantes, J. A., Rodriguez, L. F., López, S., & Ramos, F. (2013, July). A biologically inspired computational model of moral decision making for autonomous agents. In 2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing (pp. 111-117). IEEE.
• Cruz, L. C., Macías, A., Domitsu, M., Castro, L. A., & Rodríguez, L. F. (2013). Risky driving detection through urban mobility traces: A preliminary approach. In Ubiquitous Computing and Ambient Intelligence. Context-Awareness and Context-Driven Interaction (pp. 382-385). Springer, Cham.
• Barriga, S. D., Rodriguez, L. F., Ramos, F., & Ramos, M. (2012, September). Emotional attention in autonomous agents: a biologically inspired model. In 2012 International Conference on Cyberworlds (pp. 61-68). IEEE.
• Barriga, S. D., Rodríguez, L. F., Ramos, F., & Ramos, M. (2012, December). A brain-inspired computational model of emotion and attention interaction. In International Conference on Brain Informatics (pp. 243-254). Springer, Berlin, Heidelberg.
• Rodríguez, L. F., Ramos, F., & García, G. (2011, October). An integrative computational model of emotions. In International Conference on Affective Computing and Intelligent Interaction (pp. 272-279). Springer, Berlin, Heidelberg.
• Rodriguez, L. F., Ramos, F., & Wang, Y. (2011, August). Cognitive computational models of emotions. In IEEE 10th International Conference on Cognitive Informatics and Cognitive Computing (ICCI-CC’11) (pp. 75-84). IEEE.
• Rodríguez, L. F., & Ramos, F. (2011, September). Formal specification of a neuroscience-inspired cognitive architecture. In International Conference on Brain Informatics (pp. 185-196). Springer, Berlin, Heidelberg.
• Rodríguez, L. F., Ramos, F., & García, G. (2011, September). Computational modeling of brain processes for agent architectures: issues and implications. In International Conference on Brain Informatics (pp. 197-208). Springer, Berlin, Heidelberg.
• Rodríguez, F., Galvan, F., Ramos, F., Castellanos, E., García, G., & Covarrubias, P. (2010, August). A cognitive architecture based on neuroscience for the control of virtual 3D human creatures. In International Conference on Brain Informatics (pp. 328-335). Springer, Berlin, Heidelberg.

• Castro, L. A., Rodríguez, M. D., Martínez, F., Rodríguez, L. F., Andrade, Á. G., & Cornejo, R. (2018). Charting the Past, Present, and Future in Mobile Sensing Research and Development. In Intelligent Data Sensing and Processing for Health and Well-Being Applications (pp. 3-21). Academic Press.
• Olvera, X. G., & Torres, L. F. R. Modelo Computacional de Valoración Emocional para Arquitecturas de Agentes.