Advances in Artificial Intelligence

1. Front Matter

   Pages I-XXII

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2. Artificial Intelligence

   1. Front Matter

      Pages 1-1

      PDF

   2. Neighbor Selection for Cold Users in Collaborative Filtering with Positive-Only Feedback

      • Alejandro Bellogín, Ignacio Fernández-Tobías, Iván Cantador, Paolo Tomeo

      Pages 3-12

   3. Crowd Learning with Candidate Labeling: An EM-Based Solution

      • Iker Beñaran-Muñoz, Jerónimo Hernández-González, Aritz Pérez

      Pages 13-23

   4. Comparing Deep Recurrent Networks Based on the MAE Random Sampling, a First Approach

      • Andrés Camero, Jamal Toutouh, Enrique Alba

      Pages 24-33

   5. PMSC-UGR: A Test Collection for Expert Recommendation Based on PubMed and Scopus

      • César Albusac, Luis M. de Campos, Juan M. Fernández-Luna, Juan F. Huete

      Pages 34-43

   6. Bayesian Optimization of the PC Algorithm for Learning Gaussian Bayesian Networks

      • Irene Córdoba, Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato, Concha Bielza, Pedro Larrañaga

      Pages 44-54

   7. Identifying the Machine Learning Family from Black-Box Models

      • Raül Fabra-Boluda, Cèsar Ferri, José Hernández-Orallo, Fernando Martínez-Plumed, María José Ramírez-Quintana

      Pages 55-65

   8. Participatory Design with On-line Focus Groups and Normative Systems

      • Marlon Cárdenas, Noelia García Castillo, Jorge Gómez-Sanz, Juan Pavón

      Pages 66-75

   9. Evaluation in Learning from Label Proportions: An Approximation to the Precision-Recall Curve

      • Jerónimo Hernández-González

      Pages 76-86

   10. Time Series Decomposition for Improving the Forecasting Performance of Convolutional Neural Networks

       • Iván Méndez-Jiménez, Miguel Cárdenas-Montes

       Pages 87-97

   11. Asymmetric Hidden Markov Models with Continuous Variables

       • Carlos Puerto-Santana, Concha Bielza, Pedro Larrañaga

       Pages 98-107

   12. Measuring Diversity and Accuracy in ANN Ensembles

       • M. Paz Sesmero, Juan Manuel Alonso-Weber, Alessandro Giuliani, Giuliano Armano, Araceli Sanchis

       Pages 108-117

   13. Adapting Hierarchical Multiclass Classification to Changes in the Target Concept

       • Daniel Silva-Palacios, Cesar Ferri, M. Jose Ramirez-Quintana

       Pages 118-127

   14. Measuring the Quality of Machine Learning and Optimization Frameworks

       • Ignacio Villalobos, Javier Ferrer, Enrique Alba

       Pages 128-139

3. Fuzzy Sets and Systems

   1. Front Matter

      Pages 141-141

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   2. Equivalence Relations on Fuzzy Subgroups

      • Carlos Bejines, María Jesús Chasco, Jorge Elorza, Susana Montes

      Pages 143-153

   3. A PageRank-Based Method to Extract Fuzzy Expressions as Features in Supervised Classification Problems

      • Pablo Carmona, Juan Luis Castro, Jesús Lozano, José Ignacio Suárez

      Pages 154-163

   4. A Universal Decision Making Model for Restructuring Networks Based on Markov Random Fields

      • Julia García Cabello, Enrique Herrera-Viedma

      Pages 164-173

   5. Fuzzy Information and Contexts for Designing Automatic Decision-Making Systems

      • Maria Teresa Lamata, David A. Pelta, José Luis Verdegay

      Pages 174-183

​This book constitutes the refereed proceedings of the 18th Conference of the Spanish Association for 
Artificial Intelligence, CAEPIA 2018, held in Granada, Spain, in October 2018.


The 36  full papers presented were carefully selected from 240 submissions. The Conference of the Spanish Association of 
Artificial Intelligence (CAEPIA) is a biennial forum open to researchers from all over the world to present and discuss their latest scientific and technological advances in Antificial Intelligence (AI). Authors are kindly requested to submit unpublished original papers describing relevant research on AI issues from all points of view: formal, methodological, technical or applied.

• artificial intelligence
• big data
• big datum
• cloud computing
• computer systems
• evolutionary algorithms
• genetic algorithms
• graph theory
• image processing
• machine learning
• map-reduce
• multiobjective optimization
• ontologies
• pareto principle
• semantics
• algorithm analysis and problem complexity
• data structures

• Andalusian Research Institute on Data Science and Computational Intelligence (DaSCI), University of Granada, Granada, Spain

  Francisco Herrera, Sergio Damas, Rosana Montes, Sergio Alonso, Óscar Cordón

• Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain

  Antonio González

• School of Engineering, Pablo de Olavide University, Seville, Spain

  Alicia Troncoso

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