Año
Autores / Publicación
Garay, G. R., Chernykh, A., Drozdov, A. Y., Garichev, S., Nesmachnow, S., & Torres Martínez, M. (2017). Visualization of VHDL-based Simulations as a Pedagogical Tool for Supporting Computer Science Education. Journal of Computational Science, 1-8. doi: 10.1016/j.jocs.2017.04.004. (ID: 22656)
Caro Corrales, K., Tentori Espinosa, M. E., Martínez García, A. I., & Alvelais, M. (2017). Using the FroggyBobby exergame to support eye-body coordination development of children with severe autism. INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, 105, 12-27. doi: 10.1016/j.ijhcs.2017.03.005. (ID: 22436)
Hernández Morales, D. E., Olague Caballero, G., Hernández Valencia, B., & Clemente Torres, E. H. (2017). CUDA-based parallelization of a bio-inspired model for fast object classification. NEURAL COMPUTING & APPLICATIONS. doi: 10.1007/s00521-017-2873-3. (ID: 23046)
García Jacas, C. R., Martinez Mayorga, K., Marrero Ponce, Y., & Medina Franco, J. L. (2017). Conformation-dependent QSAR approach for the prediction of inhibitory activity of bromodomain modulators. SAR AND QSAR IN ENVIRONMENTAL RESEARCH, 28(1), 41-58. doi: 10.1080/1062936X.2017.1278616. (ID: 24868)
Fernández de Gortari, E., García Jacas, C. R., Martinez Mayorga, K., & Medina Franco, J. L. (2017). Database fingerprint (DFP): an approach to represent molecular databases. Journal of Cheminformatics, 9(9), 1-9. doi: 10.1186/s13321-017-0195-1. (ID: 24869)
Connelly , K., Mayora, O., Favela Vara, J., Jacobs, M., Matic, A., Nugent, C., & Wagner, S. (2017). The Future of Pervasive Health. IEEE Pervasive Computing, 16(1), 16-20. doi: 10.1109/MPRV.2017.17. (ID: 21314)
Velázquez Montalvo, A. R., Martínez García, A. I., Favela Vara, J., & Ochoa, S. F. (2017). Adaptive Exergames to support active aging: An action research study. Pervasive and Mobile Computing, 34, 60-78. doi: 10.1016/j.pmcj.2016.09.002. (ID: 20928)
Miranda Bojórquez, D. A., Favela Vara, J., & Arnrich, B. (2017). Detecting Anxiety States when Caring for People with Dementia. METHODS OF INFORMATION IN MEDICINE, 56, 55-62. doi: 10.3414/ME15-02-0012. (ID: 21023)
Chávez De La O, F., Fernández De Vega, F., Lanza, d., Benavides, C., Villegas Cortez, J., Trujillo Reyes, L., Olague Caballero, G., & Roman, G. (2016). Deploying massive runs of evolutionary algorithms with ECJ and Hadoop: Reducing interest points required for face recognition. INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS, 1-15. doi: 10.1177/1094342016678302. (ID: 21501)
Chervyakov, N., Babenko, M., Chernykh, A., Kuchukov, V. A., Deryabin, M. A., & Kuchukova, N. N. (2016). Development of a new method for computing modular multiplication in the residue number system. Neurocomputers: development, application, (10), 41-48. (ID: 21162)
Año
Autores / Publicación
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