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Francisco Bellas: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Francisco Bellas, A. Lamas, Richard J. Duro
    Adaptive Behavior through a Darwinist Machine. [Citation Graph (0, 0)][DBLP]
    ECAL, 2001, pp:86-89 [Conf]
  2. Francisco Bellas, José Antonio Becerra, Richard J. Duro
    Construction of a memory management system in an on-line learning mechanism. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:95-100 [Conf]
  3. Francisco Bellas, José Antonio Becerra, Richard J. Duro
    Some experimental results with a two level memory management system in the multilevel darwinist brain. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:113-118 [Conf]
  4. Richard J. Duro, José Santos Reyes, José Antonio Becerra, Francisco Bellas, José Luis Crespo
    Using higher order synapses and nodes to improve sensing capabilities of mobile robots. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:81-88 [Conf]
  5. Francisco Bellas, Richard J. Duro
    Multilevel Darwinist Brain in Robots - Initial Implementation. [Citation Graph (0, 0)][DBLP]
    ICINCO (2), 2004, pp:25-32 [Conf]
  6. Francisco Bellas, J. A. Becerra, José Santos Reyes, Richard J. Duro
    Applying Synaptic Delays for Virtual Sensing and Actuation in Mobile Robots. [Citation Graph (0, 0)][DBLP]
    IJCNN (6), 2000, pp:144-152 [Conf]
  7. J. A. Becerra, Francisco Bellas, José Santos Reyes, Richard J. Duro
    Complex Behaviours Through Modulation in Autonomous Robot Control. [Citation Graph (0, 0)][DBLP]
    IWANN, 2005, pp:717-724 [Conf]
  8. Francisco Bellas, J. A. Becerra, Richard J. Duro
    Evolution of Cooperating ANNs Through Functional Phenotypic Affinity. [Citation Graph (0, 0)][DBLP]
    IWANN, 2005, pp:333-340 [Conf]
  9. Francisco Bellas, Richard J. Duro
    Introducing Long Term Memory in an ANN Based Multilevel Darwinist Brain. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 2003, pp:590-597 [Conf]
  10. Alberto Prieto, Francisco Bellas, Richard J. Duro, Fernando López-Peña
    A Comparison of Gaussian Based ANNs for the Classification of Multidimensional Hyperspectral Signals. [Citation Graph (0, 0)][DBLP]
    IWANN, 2005, pp:829-836 [Conf]
  11. Francisco Bellas, J. A. Becerra, Richard J. Duro
    Induced Behavior in a Real Agent Using the Multilevel Darwinist Brain. [Citation Graph (0, 0)][DBLP]
    IWINAC (2), 2005, pp:425-434 [Conf]
  12. Francisco Bellas, J. A. Becerra, Richard J. Duro
    Sampled Fitness Functions in Complex Problems (Part 1): Influence of Short Term Memory Size. [Citation Graph (0, 0)][DBLP]
    JCIS, 2002, pp:631-634 [Conf]
  13. Francisco Bellas, J. A. Becerra, Richard J. Duro
    Sampled Fitness Functions in Complex Problems (Part II): Critical Points and Constructing Short Term Memories. [Citation Graph (0, 0)][DBLP]
    JCIS, 2002, pp:635-638 [Conf]
  14. Francisco Bellas, Richard J. Duro, Fernando López-Peña
    Blind Signal Separation Through Cooperating ANNs. [Citation Graph (0, 0)][DBLP]
    KES (1), 2005, pp:847-853 [Conf]
  15. J. Monroy, José Antonio Becerra, Francisco Bellas, Richard J. Duro, Fernando López-Peña
    A Profiling Based Intelligent Resource Allocation System. [Citation Graph (0, 0)][DBLP]
    KES (1), 2005, pp:840-846 [Conf]
  16. Alberto Prieto, Francisco Bellas, Fernando López-Peña, Richard J. Duro
    Integration of Spatial Information in Hyperspectral Imaging for Real Time Quality Control in an Andalusite Processing Line. [Citation Graph (0, 0)][DBLP]
    KES (3), 2006, pp:292-299 [Conf]
  17. Francisco Bellas, Andrés Faiña, Alberto Prieto, Richard J. Duro
    Adaptive Learning Application of the MDB Evolutionary Cognitive Architecture in Physical Agents. [Citation Graph (0, 0)][DBLP]
    SAB, 2006, pp:434-445 [Conf]
  18. Francisco Bellas, Richard J. Duro
    Some thoughts on the use of sampled fitness functions for the multilevel Darwinist brain. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2004, v:161, n:3-4, pp:159-179 [Journal]
  19. José Santos Reyes, Richard J. Duro, J. A. Becerra, José Luis Crespo, Francisco Bellas
    Considerations in the application of evolution to the generation of robot controllers. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2001, v:133, n:3-4, pp:127-148 [Journal]
  20. Andrés Faiña, Francisco Bellas, Richard J. Duro
    Initial development of habla (hardware abstraction layer) - a middleware software tool. [Citation Graph (0, 0)][DBLP]
    ICINCO-RA (2), 2007, pp:53-58 [Conf]
  21. Abraham Prieto, Francisco Bellas, Richard J. Duro, Fernando López-Peña
    Auto Adjustable ANN-Based Classification System for Optimal High Dimensional Data Analysis. [Citation Graph (0, 0)][DBLP]
    IWANN, 2007, pp:588-596 [Conf]
  22. Pilar Caamaño, Abraham Prieto, José Antonio Becerra, Richard J. Duro, Francisco Bellas
    Evolutionary Tool for the Incremental Design of Controllers for Collective Behaviors. [Citation Graph (0, 0)][DBLP]
    IWINAC (1), 2007, pp:587-596 [Conf]
  23. Pilar Caamaño, J. A. Becerra, Richard J. Duro, Francisco Bellas
    Incremental Evolution of Stigmergy-Based Multi Robot Controllers Through Utility Functions. [Citation Graph (0, 0)][DBLP]
    KES (2), 2007, pp:1187-1195 [Conf]

  24. Application domain study of evolutionary algorithms in optimization problems. [Citation Graph (, )][DBLP]


  25. Using Spiking Neural Networks for the Generation of Coordinated Action Sequences in Robots. [Citation Graph (, )][DBLP]


  26. An Incremental Learning Algorithm for Optimizing High-Dimensional ANN-Based Classification Systems. [Citation Graph (, )][DBLP]


  27. Adaptively Coordinating Heterogeneous Robot Teams through Asynchronous Situated Coevolution. [Citation Graph (, )][DBLP]


  28. A Behavior Based Architecture with Auction-Based Task Assignment for Multi-robot Industrial Applications. [Citation Graph (, )][DBLP]


  29. Asynchronous Situated Coevolution and Embryonic Reproduction as a Means to Autonomously Coordinate Robot Teams. [Citation Graph (, )][DBLP]


  30. Automatic Speech-Lip Synchronization System for 3D Animation. [Citation Graph (, )][DBLP]


  31. Internal and External Memory in Neuroevolution for Learning in Non-stationary Problems. [Citation Graph (, )][DBLP]


  32. Self-organizing Robot Teams Using Asynchronous Situated Co-evolution. [Citation Graph (, )][DBLP]


  33. Population dynamics analysis in an agent-based artificial life system for engineering optimization problems. [Citation Graph (, )][DBLP]


  34. A Complex Systems Based Tool for Collective Robot Behavior Emergence and Analysis. [Citation Graph (, )][DBLP]


  35. Hydrodynamic Design of Control Surfaces for Ships Using a MOEA with Neuronal Correction. [Citation Graph (, )][DBLP]


  36. Automatic Behavior Pattern Classification for Social Robots. [Citation Graph (, )][DBLP]


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