Gonzalo Ramos-Jiménez

According to our database, Gonzalo Ramos-Jiménez authored at least 23 papers between 1998 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Automated detection of vehicles with anomalous trajectories in traffic surveillance videos.

Jose David Fernández Rodriguez, Jorge García-González, Rafaela Benítez-Rochel, Miguel A. Molina-Cabello, Gonzalo Ramos-Jiménez, Ezequiel López-Rubio

Integr. Comput. Aided Eng., 2023

Dynamic learning rates for continual unsupervised learning.

José David Fernández-Rodríguez, Esteban José Palomo, Juan Miguel Ortiz-de-Lazcano-Lobato, Gonzalo Ramos-Jiménez, Ezequiel López-Rubio

Integr. Comput. Aided Eng., 2023

2021

Classification of Images as Photographs or Paintings by Using Convolutional Neural Networks.

José Miguel López-Rubio, Miguel A. Molina-Cabello, Gonzalo Ramos-Jiménez, Ezequiel López-Rubio

Proceedings of the Advances in Computational Intelligence, 2021

Deep learning-based anomalous object detection system for panoramic cameras managed by a Jetson TX2 board.

Jesús Benito-Picazo, Enrique Domínguez, Esteban J. Palomo, Gonzalo Ramos-Jiménez, Ezequiel López-Rubio

Proceedings of the International Joint Conference on Neural Networks, 2021

2017

A Biomimetical Dynamic Window Approach to Navigation for Collaborative Control.

Joaquín Ballesteros, Cristina Urdiales, Antonio B. Martínez Velasco, Gonzalo Ramos-Jiménez

IEEE Trans. Hum. Mach. Syst., 2017

2016

Online adaptive decision trees based on concentration inequalities.

Isvani Inocencio Frías Blanco, José del Campo-Ávila, Gonzalo Ramos-Jiménez, André C. P. L. F. de Carvalho, Agustín Alejandro Ortiz Díaz, Rafael Morales Bueno

Knowl. Based Syst., 2016

2015

Online and Non-Parametric Drift Detection Methods Based on Hoeffding's Bounds.

Isvani Inocencio Frías Blanco, José del Campo-Ávila, Gonzalo Ramos-Jiménez, Rafael Morales Bueno, Agustín Alejandro Ortiz Díaz, Yailé Caballero Mota

IEEE Trans. Knowl. Data Eng., 2015

2014

Aprendiendo con detección de cambio online.

Isvani Inocencio Frías Blanco, José del Campo-Ávila, Gonzalo Ramos-Jiménez, Rafael Morales Bueno, Agustín Alejandro Ortiz Díaz, Yailé Caballero Mota

Computación y Sistemas, 2014

2011

Improving the MLP Learning by Using a Method to Calculate the Initial Weights of the Network Based on the Quality of Similarity Measure.

Yaima Filiberto Cabrera, Rafael Bello Pérez, Yailé Caballero Mota, Gonzalo Ramos-Jiménez

Proceedings of the Advances in Soft Computing, 2011

Studying the Hybridization of Artificial Neural Networks in HECIC.

José del Campo-Ávila, Gonzalo Ramos-Jiménez, Jesús Pérez-García, Rafael Morales Bueno

Proceedings of the Advances in Computational Intelligence, 2011

2010

Clasificadores y multiclasificadores con cambio de concepto basados en árboles de decisión.

Isvani Inocencio Frías Blanco, Agustín Alejandro Ortiz Díaz, Gonzalo Ramos-Jiménez, Rafael Morales Bueno, Yailé Caballero Mota

Inteligencia Artif., 2010

2009

Hybridizing Ensemble Classifiers with Individual Classifiers.

Gonzalo Ramos-Jiménez, José del Campo-Ávila, Rafael Morales Bueno

Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

2008

Improving the performance of an incremental algorithm driven by error margins.

José del Campo-Ávila, Gonzalo Ramos-Jiménez, João Gama, Rafael Morales Bueno

Intell. Data Anal., 2008

2007

Incremental Learning with Multiple Classifier Systems Using Correction Filters for Classification.

José del Campo-Ávila, Gonzalo Ramos-Jiménez, Rafael Morales Bueno

Proceedings of the Advances in Intelligent Data Analysis VII, 2007

2006

FE-CIDIM: fast ensemble of CIDIM classifiers.

Gonzalo Ramos-Jiménez, José del Campo-Ávila, Rafael Morales Bueno

Int. J. Syst. Sci., 2006

Multiple classifier systems and layered learning based on CIDIM.

Gonzalo Ramos-Jiménez, José del Campo-Ávila, Rafael Morales Bueno

Inteligencia Artif., 2006

Incremental Algorithm Driven by Error Margins.

Gonzalo Ramos-Jiménez, José del Campo-Ávila, Rafael Morales Bueno

Proceedings of the Discovery Science, 9th International Conference, 2006

2005

ML-CIDIM: Multiple Layers of Multiple Classifier Systems Based on CIDIM.

Gonzalo Ramos-Jiménez, José del Campo-Ávila, Rafael Morales Bueno

Proceedings of the Rough Sets, 2005

Induction of Decision Trees Using an Internal Control of Induction.

Gonzalo Ramos-Jiménez, José del Campo-Ávila, Rafael Morales Bueno

Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

E-CIDIM: Ensemble of CIDIM Classifiers.

Gonzalo Ramos-Jiménez, José del Campo-Ávila, Rafael Morales Bueno

Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005

2003

A combined neural network and decision trees model for prognosis of breast cancer relapse.

José M. Jerez-Aragonés, José Antonio Gómez-Ruiz, Gonzalo Ramos-Jiménez, José Muñoz-Pérez, Emilio Alba-Conejo

Artif. Intell. Medicine, 2003

2002

New developments in Inductive Learning.

Gonzalo Ramos-Jiménez

AI Commun., 2002

1998

Comparisons of Parikh's Condition to Other Conditions for Context-free Languages.

Gonzalo Ramos-Jiménez, J. López-Muñoz, Rafael Morales Bueno

Theor. Comput. Sci., 1998