2009 |
59 | EE | Francisco Bellas,
José Antonio Becerra,
Richard J. Duro:
Using promoters and functional introns in genetic algorithms for neuroevolutionary learning in non-stationary problems.
Neurocomputing 72(10-12): 2134-2145 (2009) |
58 | EE | José Luis Crespo,
Andés Faiña,
Richard J. Duro:
An adaptive detection/attention mechanism for real time robot operation.
Neurocomputing 72(4-6): 850-860 (2009) |
2008 |
57 | EE | Pilar Caamaño,
Francisco Bellas,
José Antonio Becerra,
Richard J. Duro:
Application domain study of evolutionary algorithms in optimization problems.
GECCO 2008: 495-502 |
56 | EE | Abraham Prieto,
Francisco Bellas,
Pilar Caamaño,
Richard J. Duro:
A Complex Systems Based Tool for Collective Robot Behavior Emergence and Analysis.
HAIS 2008: 633-640 |
55 | EE | Richard J. Duro,
M. Graña,
Javier de Lope Asiaín:
On the Need of Hybrid Intelligent Systems in Modular and Multi Robotics.
HAIS 2008: 641-648 |
54 | EE | Francisco Bellas,
José Antonio Becerra,
Richard J. Duro:
Internal and External Memory in Neuroevolution for Learning in Non-stationary Problems.
SAB 2008: 62-72 |
2007 |
53 | | Andrés Faiña,
Francisco Bellas,
Richard J. Duro:
Initial development of habla (hardware abstraction layer) - a middleware software tool.
ICINCO-RA (2) 2007: 53-58 |
52 | EE | J. A. Becerra,
V. Díaz Casás,
Richard J. Duro:
Exploring Macroevolutionary Algorithms: Some Extensions and Improvements.
IWANN 2007: 308-315 |
51 | EE | Abraham Prieto,
Francisco Bellas,
Richard J. Duro,
Fernando López-Peña:
Auto Adjustable ANN-Based Classification System for Optimal High Dimensional Data Analysis.
IWANN 2007: 588-596 |
50 | EE | Pilar Caamaño,
Abraham Prieto,
José Antonio Becerra,
Richard J. Duro,
Francisco Bellas:
Evolutionary Tool for the Incremental Design of Controllers for Collective Behaviors.
IWINAC (1) 2007: 587-596 |
49 | EE | José Luis Crespo,
Andrés Faiña,
Richard J. Duro:
An Implementation of a General Purpose Attentional Mechanism for Artificial Organisms.
IWINAC (2) 2007: 99-108 |
48 | EE | Pilar Caamaño,
J. A. Becerra,
Richard J. Duro,
Francisco Bellas:
Incremental Evolution of Stigmergy-Based Multi Robot Controllers Through Utility Functions.
KES (2) 2007: 1187-1195 |
2006 |
47 | EE | A. Lamas,
Fernando López-Peña,
Richard J. Duro:
Automatic Evolutionary Design of Control Systems for Underwater Vehicles.
CIMCA/IAWTIC 2006: 157 |
46 | EE | V. Díaz Casás,
Fernando López-Peña,
Richard J. Duro:
Automatic Design and Optimization of Wind Turbine Blades.
CIMCA/IAWTIC 2006: 205 |
45 | EE | Francisco Bellas,
José Antonio Becerra,
Richard J. Duro:
Some experimental results with a two level memory management system in the multilevel darwinist brain.
ESANN 2006: 113-118 |
44 | EE | Francisco Bellas,
José Antonio Becerra,
Richard J. Duro:
Construction of a memory management system in an on-line learning mechanism.
ESANN 2006: 95-100 |
43 | EE | 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.
KES (3) 2006: 292-299 |
42 | EE | Francisco Bellas,
Andrés Faiña,
Alberto Prieto,
Richard J. Duro:
Adaptive Learning Application of the MDB Evolutionary Cognitive Architecture in Physical Agents.
SAB 2006: 434-445 |
2005 |
41 | EE | V. Díaz Casás,
Fernando López-Peña,
A. Lamas,
Richard J. Duro:
An Evolutionary Environment for Wind Turbine Blade Design.
IWANN 2005: 1188-1196 |
40 | EE | José Luis Crespo,
Richard J. Duro:
Considering Multidimensional Information Through Vector Neural Networks.
IWANN 2005: 17-24 |
39 | EE | Francisco Bellas,
J. A. Becerra,
Richard J. Duro:
Evolution of Cooperating ANNs Through Functional Phenotypic Affinity.
IWANN 2005: 333-340 |
38 | EE | J. A. Becerra,
Francisco Bellas,
José Santos Reyes,
Richard J. Duro:
Complex Behaviours Through Modulation in Autonomous Robot Control.
IWANN 2005: 717-724 |
37 | EE | Alberto Prieto,
Francisco Bellas,
Richard J. Duro,
Fernando López-Peña:
A Comparison of Gaussian Based ANNs for the Classification of Multidimensional Hyperspectral Signals.
IWANN 2005: 829-836 |
36 | EE | Francisco Bellas,
J. A. Becerra,
Richard J. Duro:
Induced Behavior in a Real Agent Using the Multilevel Darwinist Brain.
IWINAC (2) 2005: 425-434 |
35 | EE | J. Monroy,
José Antonio Becerra,
Francisco Bellas,
Richard J. Duro,
Fernando López-Peña:
A Profiling Based Intelligent Resource Allocation System.
KES (1) 2005: 840-846 |
34 | EE | Francisco Bellas,
Richard J. Duro,
Fernando López-Peña:
Blind Signal Separation Through Cooperating ANNs.
KES (1) 2005: 847-853 |
2004 |
33 | | Francisco Bellas,
Richard J. Duro:
Multilevel Darwinist Brain in Robots - Initial Implementation.
ICINCO (2) 2004: 25-32 |
32 | EE | José Luis Crespo,
Richard J. Duro,
Fernando López-Peña:
Spectral Unmixing Through Gaussian Synapse ANNs in Hyperspectral Images.
KES 2004: 661-668 |
31 | EE | Fernando López-Peña,
Richard J. Duro:
A Hyperspectral Based Multisensor System for Marine Oil Spill Detection, Analysis and Tracking.
KES 2004: 669-676 |
30 | EE | Francisco Bellas,
Richard J. Duro:
Some thoughts on the use of sampled fitness functions for the multilevel Darwinist brain.
Inf. Sci. 161(3-4): 159-179 (2004) |
2003 |
29 | EE | V. Koval,
Volodymyr Turchenko,
Anatoly Sachenko,
J. A. Becerra,
Richard J. Duro,
Vladimir Golovko:
Infrared Sensor Data Correction for Local Area Map Construction by a Mobile Robot.
IEA/AIE 2003: 306-315 |
28 | EE | Francisco Bellas,
Richard J. Duro:
Introducing Long Term Memory in an ANN Based Multilevel Darwinist Brain.
IWANN (1) 2003: 590-597 |
27 | EE | J. A. Becerra,
José Santos Reyes,
Richard J. Duro:
Multimodule Artificial Neural Network Architectures for Autonomous Robot Control Through Behavior Modulation.
IWANN (2) 2003: 169-176 |
26 | EE | Richard J. Duro,
José Santos Reyes:
Modelling Temporal Series Through Synaptic Delay-based Neural Networks.
Neural Computing and Applications 11(3-4): 224-237 (2003) |
2002 |
25 | | H. John Caulfield,
Shu-Heng Chen,
Heng-Da Cheng,
Richard J. Duro,
Vasant Honavar,
Etienne E. Kerre,
Mi Lu,
Manuel Grana Romay,
Timothy K. Shih,
Dan Ventura,
Paul P. Wang,
Yuanyuan Yang:
Proceedings of the 6th Joint Conference on Information Science, March 8-13, 2002, Research Triangle Park, North Carolina, USA
JCIS / Association for Intelligent Machinery, Inc. 2002 |
24 | EE | José Luis Crespo,
Richard J. Duro,
Fernando López-Peña:
Gaussian Synapse Networks for Hyperspectral Image Segmentation.
IBERAMIA 2002: 500-508 |
23 | EE | J. A. Becerra,
Richard J. Duro,
José Santos Reyes:
Self Pruning Gaussian Synapse Networks for Behavior Based Robots.
ICANN 2002: 837-843 |
22 | | J. A. Becerra,
José Santos Reyes,
Richard J. Duro:
MA vs. GA in Low Population Evolutionary Processes with Mostly Flat Fitness Landscapes.
JCIS 2002: 626-630 |
21 | | Francisco Bellas,
J. A. Becerra,
Richard J. Duro:
Sampled Fitness Functions in Complex Problems (Part 1): Influence of Short Term Memory Size.
JCIS 2002: 631-634 |
20 | | Francisco Bellas,
J. A. Becerra,
Richard J. Duro:
Sampled Fitness Functions in Complex Problems (Part II): Critical Points and Constructing Short Term Memories.
JCIS 2002: 635-638 |
19 | EE | Patricia González,
Jose R. Luaces,
José Antonio Becerra,
Richard J. Duro,
Ignacio Lopez:
Managing Distributed Resources in the SVG Project.
PDP 2002: 139-146 |
2001 |
18 | EE | Francisco Bellas,
A. Lamas,
Richard J. Duro:
Adaptive Behavior through a Darwinist Machine.
ECAL 2001: 86-89 |
17 | EE | José Santos Reyes,
Richard J. Duro:
Pi-DTB, Discrete Time Backpropagation with Product Units.
IWANN (1) 2001: 207-214 |
16 | EE | 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.
Inf. Sci. 133(3-4): 127-148 (2001) |
15 | EE | José Santos Reyes,
Richard J. Duro:
Pi units in temporal time delay based networks trained with discrete time backpropagation.
Int. J. Comput. Syst. Signal 2(1): 31-42 (2001) |
14 | EE | José Santos Reyes,
Richard J. Duro:
Influence of noise on discrete time backpropagation trained networks.
Neurocomputing 41(1-4): 67-89 (2001) |
2000 |
13 | EE | 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.
ESANN 2000: 81-88 |
12 | EE | José Luis Crespo,
José Santos Reyes,
Richard J. Duro:
Robust Visual Recognition with High-Order Gaussian Synapses Networks.
IJCNN (6) 2000: 135-139 |
11 | EE | Francisco Bellas,
J. A. Becerra,
José Santos Reyes,
Richard J. Duro:
Applying Synaptic Delays for Virtual Sensing and Actuation in Mobile Robots.
IJCNN (6) 2000: 144-152 |
1999 |
10 | | J. A. Becerra,
José Santos Reyes,
Richard J. Duro:
Progressive Construction of Compound Behavior Controllers for Autonomous Robots Using Temporal Information.
ECAL 1999: 324-328 |
9 | | Richard J. Duro,
José Luis Crespo,
José Santos Reyes:
Training Higher Order Gaussian Synapses.
IWANN (1) 1999: 537-545 |
8 | | J. A. Becerra,
José Santos Reyes,
Richard J. Duro:
Using Temporal Information in ANNs for the Implementation of Autonomous Robot Controllers.
IWANN (2) 1999: 540-547 |
7 | EE | Richard J. Duro,
José Santos Reyes:
Discrete-time backpropagation for training synaptic delay-based artificial neural networks.
IEEE Transactions on Neural Networks 10(4): 779-789 (1999) |
1998 |
6 | | José Santos Reyes,
Richard J. Duro:
Evolving Neural Controllers for Temporally Dependent Behaviors in Autonomous Robots.
IEA/AIE (Vol. 2) 1998: 319-328 |
1997 |
5 | | José Santos Reyes,
Richard J. Duro:
Temporal Dimension in Signal Processing.
EUROCAST 1997: 486-497 |
4 | | Richard J. Duro,
José Santos Reyes:
ECG Beat Classification with Synaptic Delay Based Artificial Neural Networks.
IWANN 1997: 962-970 |
1995 |
3 | | Richard J. Duro,
José Santos Reyes,
A. Gómez:
Synaptic Modulation Based Artificial Neural Networks.
IWANN 1995: 31-36 |
1994 |
2 | | Richard J. Duro,
José Santos Reyes,
A. Sarmiento:
GENIAL: An Evolutionary Recurrent Neural Network Designer and Trainer.
CAST 1994: 295-301 |
1 | | José Santos Reyes,
Richard J. Duro:
Evolutionary Generation and Training of Recurrent Artificial Neural Networks.
International Conference on Evolutionary Computation 1994: 759-763 |