Diego Pedro Pinto Roa

aidana Benítez, L.V.; Villamayor Paredes, M.M.R.; Colbes, J.; Bogado-Martínez, C.F.; Barán, B.; Pinto-Roa, D.P. Routing, Modulation Level, and Spectrum Assignment in Elastic Optical Networks—A Serial Stage Approach with Multiple Sub-Sets of Requests Based on Integer Linear Programming. Math. Comput. Appl. 2023, 28, 67. https://doi.org/10.3390/mca28030067

-Melisa M. Rosa Villamayor-Paredes, Luis Víctor Maidana-Benítez, José Colbes, and Diego P. Pinto-Roa. 2023. Routing, modulation level, and spectrum assignment in elastic optical networks. A route-permutation based genetic algorithms. Opt. Switch. Netw. 47, C (Feb 2023). https://doi.org/10.1016/j.osn.2022.100710

-S. Arce, L. A. Albertini, I. Ríos, D. P. Pinto-Roa, J. Colbes and M. Villagra, "Reinforcement Learning applied to the Routing and Spectrum Assignment in Elastic Optical Networks," 2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI), Montevideo, Uruguay, 2022, pp. 1-6, doi: 10.1109/LA-CCI54402.2022.9981609.

-Arnaldo Ocampo, Néstor Tapia, and Diego P. Pinto-Roa. 2022. Virtual network function chaining placement based on dynamic multi-objective optimization and multi-criteria decision making. In Proceedings of the 2022 Latin America Networking Conference (LANC '22). Association for Computing Machinery, New York, NY, USA, 2–9. https://doi.org/10.1145/3545250.3560844

-Divina Benitez, Richard Zorrilla, César F. Bogado-Martínez, Diego P. Pinto-Roa, and Benjamín Barán. 2022. Routing, baud rate, code, modulation level, and spectrum assignment in elastic optical networks: a genetic algorithms approach. In Proceedings of the 2022 Latin America Networking Conference (LANC '22). Association for Computing Machinery, New York, NY, USA, 18–25. https://doi.org/10.1145/3545250.3560849

-Pastor E Pérez-Estigarribia, Jordan Ayala Gómez, Pedro E. Gardel-Sotomayor et al. Neuroevolution Multiclass Diabetic Retinopathy Classification of Eye Fundus Images, 05 April 2022, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-1479966/v1]

-Morales, F.; García-Torres, M.; Velázquez, G.; Daumas-Ladouce, F.; Gardel-Sotomayor, P.E.; Gómez-Vela, F.; Divina, F.; Vázquez Noguera, J.L.; Sauer Ayala, C.; Pinto-Roa, D.P.; Mello-Román, J.C.; Becerra-Alonso, D. Analysis of Electric Energy Consumption Profiles Using a Machine Learning Approach: A Paraguayan Case Study. Electronics 2022, 11, 267. https://doi.org/10.3390/electronics11020267

-P. P. Cespedes-Sanchez, B. Maluff, D. P. Pinto-Roa and H. Legal-Ayala, "Hybrid Incremental Deployment of HSDN Devices," in IEEE Transactions on Network and Service Management, vol. 19, no. 2, pp. 1662-1678, June 2022, doi: 10.1109/TNSM.2021.3135122.

-Grillo, S.A.; Noguera, J.L.V.; Mello Román, J.C.; García-Torres, M.; Facon, J.; Pinto-Roa, D.P.; Salgueiro Romero, L.; Gómez-Vela, F.; Paniagua, L.R.B.; Correa, D.N.L. Redundancy Is Not Necessarily Detrimental in Classification Problems. Mathematics 2021, 9, 2899. https://doi.org/10.3390/math9222899

-Miguel García-Torres, Francisco Gómez-Vela, Federico Divina, Diego P. Pinto-Roa, José Luis Vázquez Noguera, and Julio C. Mello Román. 2021. Scatter search for high-dimensional feature selection using feature grouping. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO '21). Association for Computing Machinery, New York, NY, USA, 149–150. https://doi.org/10.1145/3449726.3459481

-Valdez, R., Roig, K., Pinto-Roa, D. P., & Colbes, J. (2021). Performance Analysis of Deep Learning Methods for Protein Contact Prediction in CASP13. CLEI electronic journal, 24(2).

-Garcia-Diaz, María E., León Alvaro, Pinto-Roa, Diego, Ocampos, David, Pederzani, Marcelo. Electronic Health Records (EHR) of the Emergency Service of the Hospital de Clínicas: Case Study. CLEI electronic journal, 24(2).

-Veronica Elisa Castillo Benítez, Ingrid Castro Matto, Julio César Mello Román, José Luis Vázquez Noguera, Miguel García-Torres, Jordan Ayala, Diego P. Pinto-Roa, Pedro E. Gardel-Sotomayor, Jacques Facon, Sebastian Alberto Grillo,
Dataset from fundus images for the study of diabetic retinopathy,
Data in Brief,
Volume 36,
2021,
107068,
ISSN 2352-3409,
https://doi.org/10.1016/j.dib.2021.107068.
(https://www.sciencedirect.com/science/article/pii/S2352340921003528)
Abstract: This article presents a database containing 757 color fundus images acquired at the Department of Ophthalmology of the Hospital de Clínicas, Facultad de Ciencias Médicas (FCM), Universidad Nacional de Asunción (UNA), Paraguay. Firstly, the retinal images were acquired with a clinical procedure presented in this paper. The acquisition of the retinographies was made through the Visucam 500 camera of the Zeiss brand. Next, two expert ophthalmologists have classified the dataset. These data can help physicians and researchers in the detection of cases of Non-Proliferative Diabetic Retinopathy (NPDR) and Proliferative Diabetic Retinopathy (PDR), in their different stages. The dataset generated will be useful for ophthalmologists and researchers to work on automatic detection algorithms for Diabetic Retinopathy (DR).
Keywords: Fundus images; Non-proliferative diabetic retinopathy; Proliferative diabetic retinopathy

-Arce, A.M.; Caroni, G.G.; Vázquez Noguera, J.L.; Pinto-Roa, D.P.; Legal-Ayala, H.; Grillo, S.A. A New Objective Function for the Recovery of Gielis Curves. Symmetry 2020, 12, 1016. https://doi.org/10.3390/sym12061016

-Sergio Fernández-Martínez, Benjamín Barán, Diego P. Pinto-Roa, Spectrum defragmentation algorithms in elastic optical networks, Optical Switching and Networking, Volume 34, 2019,
Pages 10-22, ISSN 1573-4277,
https://doi.org/10.1016/j.osn.2019.04.001.
(https://www.sciencedirect.com/science/article/pii/S1573427718302042)