Iván Ramírez

18 papers B 1Journal 13Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
LLNN: A Scalable LUT-Based Logic Neural Network Architecture for FPGAs.
IEEE Trans. Circuits Syst. I Regul. Pap.
Iván Ramírez, Francisco José García-Espinosa, David Concha, Luis Alberto Aranda, Emanuele Schiavi
2025 J jnl
Logic Neural Networks for Efficient FPGA Implementation.
IEEE Trans. Circuits Syst. I Regul. Pap.
Iván Ramírez, Francisco José García-Espinosa, David Concha, Luis Alberto Aranda
2025 J jnl
MPD: A Meteorological and Pollution Dataset: A Comprehensive Study of Machine and Deep Learning Methods for Air Pollution Forecasting.
IEEE Access
Alejandra Abalo-García, Sergio Hernández-García, Iván Ramírez, Emanuele Schiavi
2025 J jnl
RD-DIP: Rician denoising deep image prior.
Neurocomputing
H. R. Iglesias-Goldaracena, Iván Ramírez, Emanuele Schiavi
2025 J jnl
Unsupervised Deep Image Prior-Based Neural Networks for Single Image Super-Resolution: Comparative Analysis and Modelling Guidelines.
Expert Syst. J. Knowl. Eng.
Alejandra Abalo-García, Iván Ramírez, Emanuele Schiavi
2024 J jnl
DC Neural Networks avoid overfitting in one-dimensional nonlinear regression.
Knowl. Based Syst.
Cesar Beltran-Royo, Laura Llopis-Ibor, Juan José Pantrigo, Iván Ramírez
2023 — conf
Anisotropic Operator Based on Adaptable Metric-Convolution Stage-Depth Filtering Applied to Depth Completion.
ACPR (3)
Vanel A. Lazcano, Iván Ramírez, Felipe Calderero
2020 J jnl
Bayesian capsule networks for 3D human pose estimation from single 2D images.
Neurocomputing
Iván Ramírez, Alfredo Cuesta-Infante, Emanuele Schiavi, Juan José Pantrigo
2020 J jnl
Convolutional neural networks for computer vision-based detection and recognition of dumpsters.
Neural Comput. Appl.
Iván Ramírez, Alfredo Cuesta-Infante, Juan José Pantrigo, Antonio S. Montemayor, Jose Luis Moreno, Valvanera Alonso, Gema Anguita, Luciano Palombarani
2020 J jnl
Non-convex non-local reactive flows for saliency detection and segmentation.
J. Comput. Appl. Math.
Gonzalo Galiano, Iván Ramírez, Emanuele Schiavi
2019 J jnl
Learning Fair Classifiers in Online Stochastic Settings.
CoRR
Yi Sun, Iván Ramírez, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
2019 — conf
People Identification through Facial Recognition using Deep Learning.
LA-CCI
Bolívar Chacua, Iván García, Paul Rosero, Luis Suárez, Iván Ramírez, Zhima Simbaña, Marco Pusdá
2018 B conf
A Condition-Based Maintenance Methodology for Rails in Regional Railway Networks Using Evolutionary Multiobjective Optimization.
CEC
Alfredo Núñez, Ali Jamshidi, Hongrui Wang, Jurjen Hendriks, Iván Ramírez, Jan Moraal, Rolf P. B. J. Dollevoet, Zili Li
2018 J jnl
Design and Implementation of a CVRP Simulator Using Genetic Algorithms.
Res. Comput. Sci.
Iván Ramírez, José Alberto Hernández Aguilar, Miguel A. Ruiz-Jaimes, Marco Antonio Cruz-Chavez, Gustavo Arroyo-Figueroa
2018 J jnl
Non-convex non-local flows for saliency detection.
CoRR
Iván Ramírez, Gonzalo Galiano, Emanuele Schiavi
2018 — conf
Optimization of a variational model using deep learning: An application to brain tumor segmentation.
ISBI
Iván Ramírez, Adrián Martín, Emanuele Schiavi
2017 — conf
A Non-Local Diffusion Saliency Model for Magnetic Resonance Imaging.
BIOIMAGING
Iván Ramírez, Gonzalo Galiano, Norberto Malpica, Emanuele Schiavi
2016 J jnl
Decreased Business Uncertainty by Using Bayesian Networks for the Paradigm Shift in Business Simulator.
Res. Comput. Sci.
Alberto Ochoa, Miguel A. Ruiz-Jaimes, Sandra Leon, Yadira Toledo-Navarro, Iván Ramírez