Decreased Business Uncertainty by Using Bayesian Networks for the Paradigm Shift in Business Simulator. - Alberto Ochoa 002; Miguel A. Ruiz-Jaimes; Sandra Leon; Yadira Toledo-Navarro; Iván Ramírez (Res. Comput. Sci., 2016)

A Non-Local Diffusion Saliency Model for Magnetic Resonance Imaging. - Iván Ramírez; Gonzalo Galiano; Norberto Malpica; Emanuele Schiavi (BIOIMAGING, 2017)

A Condition-Based Maintenance Methodology for Rails in Regional Railway Networks Using Evolutionary Multiobjective Optimization. - Alfredo Núñez; Ali Jamshidi 002; Hongrui Wang 001; Jurjen Hendriks; Iván Ramírez; Jan Moraal; Rolf P. B. J. Dollevoet; Zili Li 003 (CEC, 2018)

Optimization of a variational model using deep learning: An application to brain tumor segmentation. - Iván Ramírez; Adrián Martín; Emanuele Schiavi (ISBI, 2018)

Non-convex non-local flows for saliency detection. - Iván Ramírez; Gonzalo Galiano; Emanuele Schiavi (CoRR, 2018)

Design and Implementation of a CVRP Simulator Using Genetic Algorithms. - Iván Ramírez; José Alberto Hernández Aguilar; Miguel A. Ruiz-Jaimes; Marco Antonio Cruz-Chavez; Gustavo Arroyo-Figueroa (Res. Comput. Sci., 2018)

People Identification through Facial Recognition using Deep Learning. - Bolívar Chacua; Iván García; Paul Rosero; Luis Suárez; Iván Ramírez; Zhima Simbaña; Marco Pusdá (LA-CCI, 2019)

Learning Fair Classifiers in Online Stochastic Settings. - Yi Sun; Iván Ramírez; Alfredo Cuesta-Infante; Kalyan Veeramachaneni (CoRR, 2019)

Bayesian capsule networks for 3D human pose estimation from single 2D images. - Iván Ramírez; Alfredo Cuesta-Infante; Emanuele Schiavi; Juan José Pantrigo (Neurocomputing, 2020)

Non-convex non-local reactive flows for saliency detection and segmentation. - Gonzalo Galiano; Iván Ramírez; Emanuele Schiavi (J. Comput. Appl. Math., 2020)

Convolutional neural networks for computer vision-based detection and recognition of dumpsters. - Iván Ramírez; Alfredo Cuesta-Infante; Juan José Pantrigo; Antonio S. Montemayor; Jose Luis Moreno; Valvanera Alonso; Gema Anguita; Luciano Palombarani (Neural Comput. Appl., 2020)

Anisotropic Operator Based on Adaptable Metric-Convolution Stage-Depth Filtering Applied to Depth Completion. - Vanel A. Lazcano; Iván Ramírez; Felipe Calderero (ACPR (3), 2023)

DC Neural Networks avoid overfitting in one-dimensional nonlinear regression. - Cesar Beltran-Royo; Laura Llopis-Ibor; Juan José Pantrigo; Iván Ramírez (Knowl. Based Syst., 2024)

MPD: A Meteorological and Pollution Dataset: A Comprehensive Study of Machine and Deep Learning Methods for Air Pollution Forecasting. - Alejandra Abalo-García; Sergio Hernández-García; Iván Ramírez; Emanuele Schiavi (IEEE Access, 2025)

RD-DIP: Rician denoising deep image prior. - H. R. Iglesias-Goldaracena; Iván Ramírez; Emanuele Schiavi (Neurocomputing, 2025)

Logic Neural Networks for Efficient FPGA Implementation. - Iván Ramírez; Francisco José García-Espinosa; David Concha; Luis Alberto Aranda (IEEE Trans. Circuits Syst. I Regul. Pap., 2025)