Publications 2020
JCR Q1/SCOPUS Q1 Articles
How do pedagogical approaches affect the impact of augmented reality on education? A meta-analysis and research synthesis. Garzón, J., Kinshuk, N., Baldiris, S., Gutiérrez, J., & Pavón, J. (2020). Educational Research Review, 31, 100334. https://doi.org/10.1016/j.edurev.2020.100334
Classification of Depression Through Resting-State Electroencephalogram as a Novel Practice in Psychiatry: Review. Čukić, M., López, V., & Pavón, J. (2020). JMIR. Journal Of Medical Internet Research/Journal Of Medical Internet Research, 22(11), e19548. https://doi.org/10.2196/19548
Explainability of a Machine Learning Granting Scoring Model in Peer-to-Peer Lending. Ariza-Garzon, M. J., Arroyo, J., Caparrini, A., & Segovia-Vargas, M. (2020). IEEE Access, 8, 64873-64890. https://doi.org/10.1109/access.2020.2984412
A Semantic Framework to Debug Parallel Lazy Functional Languages. De la Encina, A., Hidalgo-Herrero, M., Llana, L., & Rubio, F. (2020). Mathematics, 8(6), 864. https://doi.org/10.3390/math8060864
An Extremely Pipelined FPGA Implementation of a Lossy Hyperspectral Image Compression Algorithm. Bascones, D., Gonzalez, C., & Mozos, D. (2020). IEEE Transactions On Geoscience And Remote Sensing, 58(10), 7435-7447. https://doi.org/10.1109/tgrs.2020.2982586
Automatic computation of mandibular indices in dental panoramic radiographs for early osteoporosis detection. Aliaga, I., Vera, V., Vera, M., García, E., Pedrera, M., & Pajares, G. (2020). Artificial Intelligence In Medicine, 103, 101816. https://doi.org/10.1016/j.artmed.2020.101816
Predictive composition of pictogram messages for users with autism. Hervás, R., Bautista, S., Méndez, G., Galván, P., & Gervás, P. (2020). Journal Of Ambient Intelligence And Humanized Computing, 11(11), 5649-5664. https://doi.org/10.1007/s12652-020-01925-z
Switched learning adaptive neuro-control strategy. Sierra-García, J. E., & Santos, M. (2021b). Neurocomputing, 452, 450-464. https://doi.org/10.1016/j.neucom.2019.12.139
Compositional Specification in Rewriting Logic. Martín, Ó., Verdejo, A., & Martí-Oliet, N. (2019). Theory And Practice Of Logic Programming, 20(1), 44-98. https://doi.org/10.1017/s1471068419000425
A Transformational Approach to Resource Analysis with Typed-norms Inference. Albert, E., Genaim, S., Gutiérrez, R., & Martin-Martin, E. (2019). Theory And Practice Of Logic Programming, 20(3), 310-357. https://doi.org/10.1017/s1471068419000401
Optimal Runtime Algorithm to Improve Fault Tolerance of Bus-Based Reconfigurable Designs. Garnica, O., Lanchares, J., & Hidalgo, J. I. (2020). IEEE Transactions On Very Large Scale Integration (VLSI) Systems, 28(4), 914-925. https://doi.org/10.1109/tvlsi.2019.2961782
Securing high-resolution train videos encoded with HEVC and inter prediction mode. Galiano, D. R., Del Barrio, A. A., Botella, G., & Cuesta, D. (2020). Computers In Industry, 121, 103258. https://doi.org/10.1016/j.compind.2020.103258
Surveillance Routing of COVID-19 Infection Spread Using an Intelligent Infectious Diseases Algorithm. Guevara, C., & Penas, M. S. (2020). IEEE Access, 8, 201925-201936. https://doi.org/10.1109/access.2020.3036347
Intelligent models for movement detection and physical evolution of patients with hip surgery. Guevara, C., & Santos, M. (2020). Logic Journal Of The IGPL, 29(6), 874-888. https://doi.org/10.1093/jigpal/jzaa032