Fernando J. Corbacho

According to our database1, Fernando J. Corbacho authored at least 35 papers between 1993 and 2019.

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



In proceedings 
PhD thesis 


On csauthors.net:


Towards Self-constructive Artificial Intelligence: Algorithmic basis (Part I).
CoRR, 2019

Towards the Self-constructive Brain: emergence of adaptive behavior.
CoRR, 2016

Nonlinear support vector machines can systematically identify stocks with high and low future returns.
Algorithmic Finance, 2013

The effect of low number of points in clustering validation via the negentropy increment.
Neurocomputing, 2011

Normality-based validation for crisp clustering.
Pattern Recognit., 2010

Using the Negentropy Increment to Determine the Number of Clusters.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Fuzzy Cluster Validation Using the Partition Negentropy Criterion.
Proceedings of the Artificial Neural Networks, 2009

Behavioural Modeling by Clustering Based on Utility Measures.
Proceedings of the Nature Inspired Problem-Solving Methods in Knowledge Engineering, 2007

Evolutionary Search of Optimal Features.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Schema-based learning of adaptable and flexible prey- catching in anurans II. Learning after lesioning.
Biol. Cybern., 2005

Schema-based learning of adaptable and flexible prey-catching in anurans I. The basic architecture.
Biol. Cybern., 2005

Towards a Methodology to Search for Near-Optimal Representations in Classification Problems.
Proceedings of the Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach: First International Work-Conference on the Interplay Between Natural and Artificial Computation, 2005

Feature Discovery in Classification Problems.
Proceedings of the Advances in Intelligent Data Analysis VI, 2005

A new information processing measure for adaptive complex systems.
IEEE Trans. Neural Networks, 2004

Static and Dynamic Properties of Small-world Connection Topologies Based on Transit-stub Networks.
Complex Syst., 2003

Input and Output Feature Selection.
Proceedings of the Artificial Neural Networks, 2002

Towards a New Information Processing Measure for Neural Computation.
Proceedings of the Artificial Neural Networks, 2002

Optimal Extraction of Hidden Causes.
Proceedings of the Artificial Neural Networks, 2002

Analysis of Biologically Inspired Small-World Networks.
Proceedings of the Artificial Neural Networks, 2002

Evolution of functional link networks.
IEEE Trans. Evol. Comput., 2001

Connection topology dependence of synchronization of neural assemblies on class 1 and 2 excitability.
Neural Networks, 2001

A biologically plausible model for the development of selective microcircuits in striate cortex.
Neurocomputing, 2001

A biologically inspired visual system for an autonomous robot.
Neurocomputing, 2001

A Realistic Substrate for Small-World Networks Modelling.
Proceedings of the 12th International Workshop on Database and Expert Systems Applications (DEXA 2001), 2001

Reclassification as Supervised Clustering.
Neural Comput., 2000

A Central pattern generator to control a pyloric-based system.
Biol. Cybern., 2000

Small-World Topology for Multi-Agent Collaboration.
Proceedings of the 11th International Workshop on Database and Expert Systems Applications (DEXA'00), 2000

Development of Directionally Selective Microcircuits in Striate Cortex.
Proceedings of the Foundations and Tools for Neural Modeling, 1999

Schema-Based Learning.
Artif. Intell., 1998

Affordances. Motivations, and the World Graph Theory.
Adapt. Behav., 1998

Schema-Based Learning: Biologically Inspired Principles of Dynamic Organization.
Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997

Schema-Based Learning: Towards a Theory of Organization for Biologically-inspired Autonomous Agents.
Proceedings of the First International Conference on Autonomous Agents, 1997

Learning to Detour.
Adapt. Behav., 1995

Schema Based Learning & Learning to Detour.
Proceedings of the From Natural to Artificial Neural Computation, 1995

Integrated Learning in Rana Computatrix.
Proceedings of the New Trends in Neural Computation, 1993