Andrés Yáñez Escolano

According to our database, Andrés Yáñez Escolano authored at least 12 papers between 2001 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2019

AL4LA: Active Learning for Text Labeling Based on Paragraph Vectors.

Damián Nimo-Járquez, Magaly Margarita Narvaez-Rios, Mario Rivas-Sánchez, Andrés Yáñez, Guillermo Bárcena-González, Maria De La Paz Guerrero-Lebrero, Elisa Guerrero, Pedro L. Galindo

Proceedings of the Advances in Computational Intelligence, 2019

2018

Application of Super-Resolution Techniques to Transmission Electron Microscopy Images.

Guillermo Bárcena-González, Maria De La Paz Guerrero-Lebrero, Elisa Guerrero, D. F. Reyes, B. Nuñez-Moraleda, Mario Rivas-Sánchez, Andrés Yáñez, David González, Pedro L. Galindo

Proceedings of the Applications of Intelligent Systems, 2018

2015

Identifying writing profiles in game-based language learning using data mining.

Manuel Palomo-Duarte, Anke Berns, Andrés Yáñez Escolano, Juan Manuel Dodero

Proceedings of the 3rd International Conference on Technological Ecosystems for Enhancing Multiculturality, 2015

2011

Genetic Algorithms Applied to the Design of 3D Photonic Crystals.

Agustín Morgado-León, Alejandro Escuín, Elisa Guerrero Vázquez, Andrés Yáñez Escolano, Pedro L. Galindo, Lorenzo Sanchis

Proceedings of the Advances in Computational Intelligence, 2011

2005

Statistical Ensemble Method (SEM): A New Meta-machine Learning Approach Based on Statistical Techniques.

Andrés Yáñez Escolano, Pedro Galindo Riaño, Joaquín Pizarro Junquera, Elisa Guerrero Vázquez

Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

2003

A New Penalty-Based Criterion for Model Selection in Regularized Nonlinear Models.

Elisa Guerrero Vázquez, Joaquín Pizarro Junquera, Andrés Yáñez Escolano, Pedro L. Galindo

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.

Andrés Yáñez Escolano, Joaquín Pizarro Junquera, Elisa Guerrero Vázquez, Pedro Galindo Riaño

Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003

2002

Empirical Performance Assessment of Nonlinear Model Selection Techniques.

Elisa Guerrero Vázquez, Joaquín Pizarro Junquera, Andrés Yáñez Escolano, Pedro Galindo Riaño

Proceedings of the Advances in Artificial Intelligence, 2002

Noise derived information criterion for model selection.

Joaquín Pizarro Junquera, Pedro L. Galindo, Elisa Guerrero Vázquez, Andrés Yáñez Escolano

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.

Andrés Yáñez Escolano, Elisa Guerrero Vázquez, Pedro Galindo Riaño, Joaquín Pizarro Junquera

Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

2001

Repeated Measures Multiple Comparison Procedures Applied to Model Selection in Neural Networks.

Elisa Guerrero Vázquez, Andrés Yáñez Escolano, Pedro Galindo Riaño, Joaquín Pizarro Junquera

Proceedings of the Bio-inspired Applications of Connectionism, 2001

A Penalization Criterion Based on Noise Behaviour for Model Selection.

Joaquín Pizarro Junquera, Pedro Galindo Riaño, Elisa Guerrero Vázquez, Andrés Yáñez Escolano

Proceedings of the Bio-inspired Applications of Connectionism, 2001