Main track:
Bueno-Crespo, A., Martínez-España, R., Morales-García, J., Ortíz-González, A., Imbernón, B., Martínez-Más, J., Rosique-Egea, D., Álvarez, M. (2024, November). The Role of Artificial Intelligence in Enhancing Cervical Screening Programs in Resource-Poor Regions. In International Papillomavirus Conference.
Terroso Sáenz, Fernando, Morales García, Juan, Puig, Miguel, Martínez, Ginesa, Muñoz, Andrés. (2024, November). Tourist Mobility Forecasting with Region-Based Flows and Regular Trips. In International Academy, Research, and Industry Association (IARIA).
Bueno-Crespo, A., Martínez-España, R., Morales-García, J., Ortíz-González, A., Imbernón, B., Martínez-Más, J., ... & Álvarez, M. A. (2024, May). Diagnosis of Cervical Cancer Using a Deep Learning Explainable Fusion Model. In International Work-Conference on the Interplay Between Natural and Artificial Computation (pp. 451-460). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-61137-7_42
Padilla-Quimbiulco, D., Morales-García, J., Cantabella, M., Ayuso, B., Muñoz, A., & Cecilia, J. M. (2023, June). Greenhouse intelligent warning system for precision agriculture. In 2023 19th International Conference on Intelligent Environments (IE) (pp. 1-6). IEEE. https://doi.org/10.1109/IE57519.2023.10179105
Ortiz-González, A., Bueno-Crespo, A., Martínez-España, R., Martínez-Más, J., Martínez-Cendán, J. P, Remezal-Solano, M., Morales-García, J., Imbernón, B., Romero-Humber, O., Ortiz-Reina, S., Capozzi, C., & Blasco-Muñoz, S. (2023, May). Ayuda al diagnóstico de la patología cervical mediante segmentación de imágenes de células procedentes de citologías cervicovaginales. In XXXI Congreso Nacional de la SEAP-IAP
Ruiz, S., Morales-García, J., Calafate, C. T., Cano, J. C., Manzoni, P., & Cecilia, J. M. (2022, June). Evaluation of time-series libraries for temperature prediction in smart greenhouses. In 2022 18th International Conference on Intelligent Environments (IE) (pp. 1-7). IEEE. https://doi.org/10.1109/IE54923.2022.9826765
Alati, M. F., Fortino, G., Morales, J., Cecilia, J. M., & Manzoni, P. (2022, January). Time series analysis for temperature forecasting using TinyML. In 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC) (pp. 691-694). IEEE. https://doi.org/10.1109/CCNC49033.2022.9700573
Workshops:
Morales-García, J., González-Martínez, P., Melgarejo-Hernández, J., García-Tapia-Mateo, P., Garrigos, I., & Mazón, J.N. (2023). Leveraging Artificial Intelligence to Forecast Bird Sightings and its Visualization with Augmented Web Technologies. In Workshop Proceedings of the 21th International Conference on Intelligent Environments (IE2025) (pp. 112-121). IOS Press. https://doi.org/10.3233/AISE250025
Bonastre-Egea, J., Morales-García, J., Bueno-Crespo, A. (2024, June). Digitalización de Invernaderos para la Optimización de Recursos Naturales. In X Jornadas de Investigación y Doctorado UCAM.
Morales-García, J., Llanes, A., Curado, M., & Arcas-Túnez, F. (2023). An Exploratory Data Analysis for League of Legends Professional Match Data. In Workshop Proceedings of the 19th International Conference on Intelligent Environments (IE2023) (pp. 73-81). IOS Press. https://doi.org/10.3233/AISE230013
Arratia, B., Alati, M. F., Morales-García, J., Cecilia, J. M., Calafate, C. T., & Manzoni, P. (2022, September). Pronóstico de series temporales para datos de temperatura con TinyML. In Jornadas SARTECO 2022 (Sociedad de Arquitectura y Tecnología de Computadores 2022)
Morales-García, J., Bueno-Crespo, A., & Cecilia, J. M. (2022, June). Aplicación de Inteligencia Artificial sobre infraestructuras IoT para automatizar y optimizar los procesos de agricultura intensiva. In VIII Jornadas de Investigación y Doctorado UCAM.
García, J. M., Llanes, A., Tudela, B. I., & Cecilia, J. M. (2020). Performance Evaluation of Clustering Algorithms on GPUs. In Intelligent Environments 2020 Workshop Proceedings of the 16th International Conference on Intelligent Environments (pp. 400-409). IOS Press. https://doi.org/10.3233/AISE200066