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ORCIDIván Ramírez
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2020 – today
- 2020
[j5]Iván Ramírez
, Alfredo Cuesta-Infante, Emanuele Schiavi, Juan José Pantrigo:
Bayesian capsule networks for 3D human pose estimation from single 2D images. Neurocomputing 379: 64-73 (2020)- [j4]Gonzalo Galiano, Iván Ramírez, Emanuele Schiavi:
Non-convex non-local reactive flows for saliency detection and segmentation. J. Comput. Appl. Math. 377: 112873 (2020) - [j3]Iván Ramírez, Alfredo Cuesta-Infante, Juan José Pantrigo, Antonio S. Montemayor, Jose Luis Moreno, Valvanera Alonso, Gema Anguita, Luciano Palombarani:
Convolutional neural networks for computer vision-based detection and recognition of dumpsters. Neural Comput. Appl. 32(17): 13203-13211 (2020) - [i3]Lei Xu, Iván Ramírez, Kalyan Veeramachaneni:
Rewriting Meaningful Sentences via Conditional BERT Sampling and an application on fooling text classifiers. CoRR abs/2010.11869 (2020)
2010 – 2019
- 2019
- [c4]Bolívar Chacua, Iván García, Paul Rosero, Luis Suárez, Iván Ramírez, Zhima Simbaña, Marco Pusdá:
People Identification through Facial Recognition using Deep Learning. LA-CCI 2019: 1-6 - [i2]Yi Sun, Iván Ramírez, Alfredo Cuesta-Infante, Kalyan Veeramachaneni:
Learning Fair Classifiers in Online Stochastic Settings. CoRR abs/1908.07009 (2019) - 2018
- [j2]Iván Ramírez, José Alberto Hernández Aguilar, Miguel A. Ruiz-Jaimes, Marco Antonio Cruz-Chavez, Gustavo Arroyo-Figueroa:
Design and Implementation of a CVRP Simulator Using Genetic Algorithms. Res. Comput. Sci. 147(2): 35-47 (2018) - [c3]Alfredo Núñez, Ali Jamshidi, Hongrui Wang, Jurjen Hendriks, Iván Ramírez, Jan Moraal, Rolf P. B. J. Dollevoet, Zili Li:
A Condition-Based Maintenance Methodology for Rails in Regional Railway Networks Using Evolutionary Multiobjective Optimization. CEC 2018: 1-7 - [c2]Iván Ramírez, Adrián Martín, Emanuele Schiavi:
Optimization of a variational model using deep learning: An application to brain tumor segmentation. ISBI 2018: 631-634 - [i1]Iván Ramírez, Gonzalo Galiano, Emanuele Schiavi:
Non-convex non-local flows for saliency detection. CoRR abs/1805.09408 (2018) - 2017
- [c1]Iván Ramírez, Gonzalo Galiano, Norberto Malpica, Emanuele Schiavi:
A Non-Local Diffusion Saliency Model for Magnetic Resonance Imaging. BIOIMAGING 2017: 100-107 - 2016
- [j1]Alberto Ochoa, Miguel A. Ruiz-Jaimes, Sandra Leon, Yadira Toledo-Navarro, Iván Ramírez:
Decreased Business Uncertainty by Using Bayesian Networks for the Paradigm Shift in Business Simulator. Res. Comput. Sci. 122: 89-101 (2016)
Coauthor Index
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