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Publicaciones en Ciencias de la Computación
Hay 736 publicaciones en Ciencias de la Computación.

Año

Autores / Publicación

2021

Kirsanova, A., Radchenko, G., & Chernykh, A. (2021). Fog Computing State of the Art: Concept and Classification of Platforms to Support Distributed Computing System. Supercomputing Frontiers and Innovations, 8(3), 17-50. doi: 10.14529/jsfi210302. (ID: 27466)

2021

Vadicamo, L., Gennaro, C., Falchi, F., Chávez González, E. L., Connor C.H., R., & amato, G. (2021). Re-ranking via local embeddings: A use case with permutation-based indexing and the nSimplex projection. Information Systems, 95(101506). doi: 10.1016/j.is.2020.101506. (ID: 26176)

2021

Ricci López, J., Aguila, S., Gilson, M. K., & Brizuela Rodríguez, C. A. (2021). Improving structure-based virtual screening with ensemble docking and machine learning. Journal of Chemical Information and Modeling. doi: 10.1021/acs.jcim.1c00511. (ID: 27659)

2021

Makovetskii, A., Voronin, S., Kober, V., & Voronin, A. (2021). Point cloud registration based on multiparameter functional. Mathematics, 9(20), 20. doi: 10.3390/math9202589. (ID: 27209)

2021

Ferreira De Luca, V. T., Marín Nevarez, J. N., Ramírez Vigueras, A., Solé Pi, O., Szwarcfiter, J. L., de Souza Oliveira, F., & Urrutia Galicia, J. (2021). Grid straight-line embeddings of trees with a minimum number of bends per path. INFORMATION PROCESSING LETTERS, 174, 106210. doi: 10.1016/j.ipl.2021.106210. (ID: 29727) (E)

2021

Calle, L., Marrero Ponce, Y., & Mora, J. R. (2021). Molecular simulation of the (GPx)-like antioxidant activity of ebselen derivatives through machine learning techniques. MOLECULAR SIMULATION, 47(17), 1402-1410. doi: 10.1080/08927022.2021.1975039. (ID: 28200)

2021

Hoyos Ibarra, A. J., Ruiz Lopez, U., & Chávez González, E. L. (2021). Hadamard's Defense Against Adversarial Examples. IEEE Access, 9, 118324-118333. doi: 10.1109/ACCESS.2021.3106855. (ID: 27028)

2021

Chernykh, A., Babenko, M., Pulido Gaytan, L. B., Shiryaev, E., Golimblevskaia, E., Avetisyan, A., Nguyen, V. H., & Cortés Mendoza, J. M. (2021). Primitives Optimization Based on the Concepts of the Residue Number System and Finite Ring Neural Network. In Dorronsoro B., Amodeo L., Pavone M., Ruiz P. (Eds.), Optimization and Learning. OLA 2021. Book series: Communications in Computer and Information Science (CCIS vol 1443) (pp. 241-253). Springer. (ID: 30283)

2021

Hernández Cruz, N., Cato, D., & Favela Vara, J. (2021). Neural Style Transfer as Data Augmentation for Improving COVID-19 Diagnosis Classification. SN Computer Science, 2. doi: 10.1007/s42979-021-00795-2. (ID: 27410)

2021

Juárez Jiménez, J. A., Santos, C., & Brizuela Rodríguez, C. A. (2021). A Comprehensive Review and a Taxonomy Proposal of Team Formation Problems. ACM Computing Surveys, 54(7), 1-33. doi: 10.1145/3465399. (ID: 26925)