Elisa Guerrero Vázquez

Orcid: 0000-0002-8320-0811

According to our database1, Elisa Guerrero Vázquez authored at least 19 papers between 2000 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Release 2.0 - NEMSIM-RT: A real-time distributed spiking neural network simulator.
SoftwareX, 2024

2023
Event-Based Regression with Spiking Networks.
Proceedings of the Advances in Computational Intelligence, 2023

SpikeBALL: Neuromorphic Dataset for Object Tracking.
Proceedings of the Advances in Computational Intelligence, 2023

2019
AL4LA: Active Learning for Text Labeling Based on Paragraph Vectors.
Proceedings of the Advances in Computational Intelligence, 2019

Topological Homogeneity for Electron Microscopy Images.
Proceedings of the Computational Topology in Image Context - 7th International Workshop, 2019

2018
Application of Super-Resolution Techniques to Transmission Electron Microscopy Images.
Proceedings of the Applications of Intelligent Systems, 2018

2017
Using Deep Learning for Image Similarity in Product Matching.
Proceedings of the Advances in Computational Intelligence, 2017

2011
Genetic Algorithms Applied to the Design of 3D Photonic Crystals.
Proceedings of the Advances in Computational Intelligence, 2011

2005
Statistical Ensemble Method (SEM): A New Meta-machine Learning Approach Based on Statistical Techniques.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

2003
A New Penalty-Based Criterion for Model Selection in Regularized Nonlinear Models.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

A new Meta Machine Learning (MML) method based on combining non-significant different neural networks.
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003

2002
Multiple comparison procedures applied to model selection.
Neurocomputing, 2002

Empirical Performance Assessment of Nonlinear Model Selection Techniques.
Proceedings of the Advances in Artificial Intelligence, 2002

Noise derived information criterion for model selection.
Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

A resampling and multiple testing-based procedure for determining the size of a neural network.
Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

2001
Repeated Measures Multiple Comparison Procedures Applied to Model Selection in Neural Networks.
Proceedings of the Bio-inspired Applications of Connectionism, 2001

A Penalization Criterion Based on Noise Behaviour for Model Selection.
Proceedings of the Bio-inspired Applications of Connectionism, 2001

2000
Multiple Comparison Procedures for Determining the Optimal Complexity of a Model.
Proceedings of the Advances in Pattern Recognition, Joint IAPR International Workshops SSPR 2000 and SPR 2000, [8th International Workshop on Structural and Syntactic Pattern Recognition, 3rd International Workshop on Statistical Techniques in Pattern Recognition], Alicante, Spain, August 30, 2000

A statistical model selection strategy applied to neural networks.
Proceedings of the 8th European Symposium on Artificial Neural Networks, 2000


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