Publicaciones en colaboración con investigadores/as de Basque Center for Applied Mathematics (11)

2021

  1. Evolving Gaussian process kernels from elementary mathematical expressions for time series extrapolation

    Neurocomputing, Vol. 462, pp. 426-439

  2. In-depth analysis of SVM kernel learning and its components

    Neural Computing and Applications, Vol. 33, Núm. 12, pp. 6575-6594

  3. K-means for Evolving Data Streams

    Proceedings - IEEE International Conference on Data Mining, ICDM

2020

  1. Bayesian Optimization Approaches for Massively Multi-modal Problems

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Evolving Gaussian Process Kernels for Translation Editing Effort Estimation

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2019

  1. An Experimental Study in Adaptive Kernel Selection for Bayesian Optimization

    IEEE Access, Vol. 7, pp. 184294-184302

  2. Analyze, Sense, Preprocess, Predict, Implement, and Deploy (ASPPID): An incremental methodology based on data analytics for cost-efficiently monitoring the industry 4.0

    Engineering Applications of Artificial Intelligence, Vol. 82, pp. 30-43

  3. On the relevance of preprocessing in predictive maintenance for dynamic systems

    Predictive Maintenance in Dynamic Systems: Advanced Methods, Decision Support Tools and Real-World Applications (Springer International Publishing), pp. 53-92

  4. Sentiment analysis with genetically evolved Gaussian kernels

    GECCO 2019 - Proceedings of the 2019 Genetic and Evolutionary Computation Conference