Advances in Computational Intelligence

1. Front Matter

   Pages I-XXV

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2. Pattern Recognition

   1. Front Matter

      Pages 1-1

      PDF

   2. Developing Gene Classifier System for Autism Recognition

      • Tomasz Latkowski, Stanislaw Osowski

      Pages 3-14

   3. A Distributed Feature Selection Approach Based on a Complexity Measure

      • Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos

      Pages 15-28

   4. Ensemble Feature Selection for Rankings of Features

      • Borja Seijo-Pardo, Verónica Bolón-Canedo, Iago Porto-Díaz, Amparo Alonso-Betanzos

      Pages 29-42

   5. A Medical Case-Based Reasoning Approach Using Image Classification and Text Information for Recommendation

      • Sara Nasiri, Johannes Zenkert, Madjid Fathi

      Pages 43-55

   6. Non Spontaneous Saccadic Movements Identification in Clinical Electrooculography Using Machine Learning

      • Roberto Becerra-García, Rodolfo García-Bermúdez, Gonzalo Joya-Caparrós, Abel Fernández-Higuera, Camilo Velázquez-Rodríguez, Michel Velázquez-Mariño et al.

      Pages 56-68

   7. Applying a Hybrid Algorithm to the Segmentation of the Spanish Stock Market Index Time Series

      • Antonio Manuel Durán-Rosal, Mónica de la Paz-Marín, Pedro Antonio Gutiérrez, César Hervás-Martínez

      Pages 69-79

   8. Nonlinear Ordinal Logistic Regression Using Covariates Obtained by Radial Basis Function Neural Networks Models

      • Manuel Dorado-Moreno, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez

      Pages 80-91

   9. Energy Flux Range Classification by Using a Dynamic Window Autoregressive Model

      • Pedro Antonio Gutiérrez, Juan Carlos Fernández, Mária Pérez-Ortiz, Laura Cornejo-Bueno, Enrique Alexandre-Cortizo, Sancho Salcedo-Sanz et al.

      Pages 92-102

   10. Automatic Eye Blink Detection Using Consumer Web Cameras

       • Beatriz Remeseiro, Alba Fernández, Madalena Lira

       Pages 103-114

   11. Insights on the Use of Convolutional Neural Networks for Document Image Binarization

       • J. Pastor-Pellicer, S. España-Boquera, F. Zamora-Martínez, M. Zeshan Afzal, Maria Jose Castro-Bleda

       Pages 115-126

   12. A Genetic Algorithms-Based LSSVM Classifier for Fixed-Size Set of Support Vectors

       • Danilo Avilar Silva, Ajalmar R. Rocha Neto

       Pages 127-141

   13. Ensemble of Minimal Learning Machines for Pattern Classification

       • Diego Parente Paiva Mesquita, João Paulo Pordeus Gomes, Amauri Holanda Souza Junior

       Pages 142-152

   14. Extreme Learning Machines for Multiclass Classification: Refining Predictions with Gaussian Mixture Models

       • Emil Eirola, Andrey Gritsenko, Anton Akusok, Kaj-Mikael Björk, Yoan Miche, Dušan Sovilj et al.

       Pages 153-164

   15. Modeling the EUR/USD Index Using LS-SVM and Performing Variable Selection

       • Luis-Javier Herrera, Alberto Guillén, Rubén Martínez, Carlos García, Hector Pomares, Oresti Baños et al.

       Pages 165-172

3. Embedded intelligent systems

   1. Front Matter

      Pages 173-173

      PDF

   2. Modeling Retina Adaptation with Multiobjective Parameter Fitting

      • Pablo Martínez-Cañada, Christian Morillas, Samuel Romero, Francisco Pelayo

      Pages 175-184

   3. Stochastic-Based Implementation of Reservoir Computers

      • Miquel L. Alomar, Vincent Canals, Víctor Martínez-Moll, Josep L. Rosselló

      Pages 185-196

   4. FPGA Implementation Comparison Between C-Mantec and Back-Propagation Neural Network Algorithms

      • Francisco Ortega-Zamorano, José M. Jerez, Gustavo Juárez, Leonardo Franco

      Pages 197-208

This two-volume set LNCS 9094 and LNCS 9095 constitutes the thoroughly refereed proceedings of the 13th International Work-Conference on Artificial Neural Networks, IWANN 2015, held in Palma de Mallorca, Spain, in June 2013. The 99 revised full papers presented together with 1 invited talk were carefully reviewed and selected from 195 submissions. The papers are organized in topical sections on brain-computer interfaces: applications and tele-services; multi-robot systems: applications and theory (MRSAT); video and image processing; transfer learning; structures, algorithms and methods in artificial intelligence; interactive and cognitive environments; mathematical and theoretical methods in fuzzy systems; pattern recognition; embedded intelligent systems; expert systems; advances in computational intelligence; and applications of computational intelligence.

• ant colony optimization
• artificial intelligence
• bio-inspired systems
• brain-computer interface
• cenetic algorithm
• clustering
• cognitive robotics
• computer vision
• computing platforms
• data mining
• distributed artificial intelligence
• evolutionary algorithms
• knowledge representation and reasoning
• machine learning
• mobile robots
• natural language
• parallel computation
• search methodologies
• social networks
• wearable sensors

• University of Granada, Granada, Spain

  Ignacio Rojas

• Department of Electronics Technology, University of Malaga, Malaga, Spain

  Gonzalo Joya

• Polytechnic University of Catalonia, Vilanova i la Geltrú, Spain

  Andreu Catala

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