Juan R. Rabuñal

Juan R. Rabuñal is assistant professor in the Department of Information and Communications Technologies of the University of A Coruña. He finished his studies on Computer Engineering in 1996, and on 2002 he became Doctor in Computer Science with his thesis “Methodology for the Development of Knowledge Extraction Systems in ANNs”. He has worked on several Spanish and European projects, and he has published many books and papers on several international journals. He is currently working on Evolutionary Computation, Artificial Neural Networks and Knowledge Extraction systems.

Publications

Virtual Reality and Point-Based Rendering in Architecture and Heritage
Omar A. Mures, Alberto Jaspe, Emilio J. Padrón, Juan R. Rabuñal. © 2018. 17 pages.
Recent advances in acquisition technologies such as LiDAR, range cameras and photogrammetry have put point clouds once again in the forefront of several fields with applications...
Fish Tracking with Computer Vision Techniques: An Application to Vertical Slot Fishways
Alvaro Rodriguez, Angel Jose Rico-Diaz, Juan R. Rabuñal, Marcos Gestal. © 2017. 31 pages.
Vertical slot fishways are hydraulic structures which allow the upstream migration of fish through obstructions in rivers. Their design depends on the interplay between hydraulic...
Virtual Reality and Point-Based Rendering in Architecture and Heritage
Omar A. Mures, Alberto Jaspe, Emilio J. Padrón, Juan R. Rabuñal. © 2016. 18 pages.
Recent advances in acquisition technologies such as LiDAR, range cameras and photogrammetry have put point clouds once again in the forefront of several fields with applications...
Point Cloud Manager: Applications of a Middleware for Managing Huge Point Clouds
Omar A. Mures, Alberto Jaspe, Emilio J. Padrón, Juan R. Rabuñal. © 2016. 15 pages.
Recent advances in acquisition technologies, such as LIDAR and photogrammetry, have brought back to popularity 3D point clouds in a lot of fields of application of Computer...
Database Analysis with ANNs by means of Graph Evolution
Daniel Rivero, Julián Dorado, Juan Rabuñal, Alejandro Pazos. © 2013. 15 pages.
Traditionally, the development of Artificial Neural Networks (ANNs) is a slow process guided by the expert knowledge. This expert usually has to test several architectures until...
Soft Computing Techniques in Civil Engineering: Time Series Prediction
Juan L. Pérez, Juan Rabuñal, Fernando Martínez Abella. © 2012. 16 pages.
Soft computing techniques are applied to a huge quantity of problems spread in several areas of science. In this case, Evolutionary Computation (EC) techniques are applied, in...
Database Analysis with ANNs by means of Graph Evolution
Daniel Rivero, Julián Dorado, Juan Rabuñal, Alejandro Pazos. © 2011. 15 pages.
Traditionally, the development of Artificial Neural Networks (ANNs) is a slow process guided by the expert knowledge. This expert usually has to test several architectures until...
Soft Computing Techniques in Civil Engineering: Time Series Prediction
Juan L. Pérez, Juan R. Rabuñal, Fernando Martínez Abella. © 2010. 17 pages.
Soft computing techniques are applied to a huge quantity of problems spread in several areas of science. In this case, Evolutionary Computation (EC) techniques are applied, in...
Encyclopedia of Artificial Intelligence
Juan Ramón Rabuñal Dopico, Julian Dorado, Alejandro Pazos. © 2009. 1780 pages.
Numerous real-life problems so complex as to be virtually insoluble by means of traditional computer science techniques can now be approached effectively with artificial...
Simulation of the Action Potential in the Neuron's Membrane in Artificial Neural Networks
Juan Ramón Rabuñal Dopico, Javier Pereira Loureiro, Mónica Miguélez Rico. © 2009. 20 pages.
In this chapter, we state an evolution of the Recurrent ANN (RANN) to enforce the persistence of activations within the neurons to create activation contexts that generate...
ANN Development with EC Tools: An Overview
Daniel Rivero, Juan Rabuñal. © 2009. 6 pages.
Among all of the Artificial Intelligence techniques, Artificial Neural Networks (ANNs) have shown to be a very powerful tool (McCulloch & Pitts, 1943) (Haykin, 1999). This...
Computer Vision for Wave Flume Experiments
Óscar Ibáñez, Juan Ramón Rabuñal Dopico. © 2009. 7 pages.
During the past several decades, a number of attempts have been made to contain oil slicks (or any surface contaminants) in the open sea by means of a floating barrier. Many of...
Artificial Neural Networks in Real-Life Applications
Juan R. Rabuñal, Julian Dorado. © 2006. 394 pages.
Artificial Neural Networks in Real-Life Applications offers an outlook on the most recent works in the field of artificial neural networks (ANN). It includes theoretical...
Knowledge Discovery with Artificial Neural Networks
Juan R. Rabuñal Dopico, Daniel Rivero Cebrian, Julián Dorado de la Calle, Nieves Pedreira Souto. © 2005. 5 pages.
The world of Data Mining (Cios, Pedrycz & Swiniarrski, 1998) is in constant expansion. New information is obtained from databases thanks to a wide range of techniques, which are...
Knowledge Management as the Future of E-Learning
Nieves Pedreira, Julián Dorado, Juan Rabuñal, Alejandro Pazos. © 2005. 6 pages.
Since technological changes are touching many aspects of today’s society, education cannot stay behind; in a world where information is the key to progress, the education of its...