After the successful celebration of three previous editions under the frame of the Conference of the Spanish Association of Artificial Intelligence (CAEPIA'13, CAEPIA'15 and CAEPIA'16), the IV Symposium on Information Fusion and Ensemble Learning intends to establish a meeting point for all researchers with interest in the field of information fusion and ensembles, which is a key part of machine learning.

The symposium will welcome all contributions (both theoretical and applied) centered on the combination of simple machine learning algorithms to solve complex problems: this includes the management of several data sources, training schemes, combination of results or any other kind of fusion of information required inside an automatic system.

We hope FINO’18 to provide a stimulating and fruitful forum for presenting and discussing the latest works and advances on information fusion and ensemble learning.



Granada, agua oculta que llora - Manuel Machado


Topics of interest include, but are not limited to, the following:

  • Ensemble Methodologies: Strategies and Techniques.
  • Homogeneous and Heterogeneous Ensembles.
  • Methods for ensemble learning: Boosting, Bagging, Random Forest, etc.
  • Ensembles for classification, prediction, clustering, feature selection, etc.
  • Definitions and measures of diversity.
  • Methods for creating diversity in model generation.
  • Relations between ensemble diversity and performance.
  • Strategies for decision fusion.
  • Evaluation of ensemble performance and comparison with other approaches.
  • Software for ensembles and information fusion.
  • Real world problem applications of ensembles.
  • Fusion of One-class classifiers.
  • Decomposition of multi-class problems: One-vs-One, One-vs-All, ECOC, etc.
  • Ensembles for multi-instance or multi-label problems.
  • Ensembles for dealing with noise problems, unbalanced classes and transfer learning.
  • Design of information fusion strategies for distributed systems and Big Data.

Program Committee

Juan Manuel CorchadoUniversity of Salamanca, Spain
Ana Belén Gil GonzálezUniversity of Salamanca, Spain
Ángel ArroyoUniversity of Burgos, Spain
Belén Vaquerizo GarcíaUniversity of Burgos, Spain
Javier SedanoCastilla y León Technological Institute, Spain
Jesús Ángel Román GallegoUniversity of Salamanca, Spain
José Luis Calvo RolleUniversity of Coruña, Spain
José Luis Casteleiro RocaUniversity of Coruña, Spain
Leticia CurielUniversity of Burgos, Spain
Pedro Antonio Hernández RamosUniversity of Salamanca, Spain
Hector QuintiánUniversity of Salamanca, Spain
Francisco HerreraUniversity of Granada, Spain
Salvador GarcíaUniversity of Granada, Spain
Julián LuengoUniversity of Burgos, Spain
Edurne BarrenecheaPublic University of Navarra, Spain
Luciano SánchezUniversity of Oviedo, Spain
Oscar CordónUniversity of Granada, Spain
Oriol PujolUniversity of Barcelona, Spain
Sergio EscaleraUniversity of Barcelona, Spain
Daniel Hernández-LobatoAutonomous University of Madrid, Spain
Aníbal Ramón Figueiras-VidalCarlos III University of Madrid, Spain
Araceli SanchísCarlos III University of Madrid, Spain
Agapito Ismael LedezmaCarlos III University of Madrid, Spain
Jesús Mª PérezUniversity of the Basque Country, Spain
José Antonio SanzPublic University of Navarra, Spain
Santiago PorrasUniversity of Burgos, Spain

Waiting for your contributions at FINO 2018!

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