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Babenko, M., Chernykh, A., Pulido Gaytan, L. B., Avetisyan, A., Nesmachnow , S., Wang, X., & Granelli, F. (2022). Towards the sign function best approximation for secure outsourced computations and control. Mathematics, 10(12), 2006. doi: 10.3390/math10122006. (ID: 28212)

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Monarca Pintle, G. I., Cibrian Robles, F. L., Chávez González, E. L., & Tentori Espinosa, M. E. (2022). Using a small dataset to classify strength-interactions with an elastic display: a case study for the screening of autism spectrum disorder. International Journal of Machine Learning and Cybernetics. doi: 10.1007/s13042-022-01554-2. (ID: 28411)

Peña Morales, D., Chernykh, A., Dorronsoro, B., & Ruiz, P. (2022). A novel multi-objective optimization approach to guarantee equality of service and energy efficiency in a heterogeneous bus fleet system. ENGINEERING OPTIMIZATION. doi: 10.1080/0305215X.2022.2055007. (ID: 28213)

García Jacas, C. R., Pinacho Castellanos, S. A., García González, L. A., & Brizuela Rodríguez, C. A. (2022). Do deep learning models make a difference in the identification of antimicrobial peptides?. BRIEFINGS IN BIOINFORMATICS, 16. doi: 10.1093/bib/bbac094. (ID: 27757)