Publicaciones en las que colabora con David Martínez Rego (26)

2020

  1. Fast Distributed kNN Graph Construction Using Auto-tuned Locality-sensitive Hashing

    ACM Transactions on Intelligent Systems and Technology, Vol. 11, Núm. 6

2019

  1. Large scale anomaly detection in mixed numerical and categorical input spaces

    Information Sciences, Vol. 487, pp. 115-127

  2. Optimizing novelty and diversity in recommendations

    Progress in Artificial Intelligence, Vol. 8, Núm. 1, pp. 101-109

2018

  1. An Information Theory-Based Feature Selection Framework for Big Data under Apache Spark

    IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 48, Núm. 9, pp. 1441-1453

2017

  1. Algorithmic challenges in big data analytics

    ESANN 2017 - Proceedings, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

  2. Fast-mRMR: Fast Minimum Redundancy Maximum Relevance Algorithm for High-Dimensional Big Data

    International Journal of Intelligent Systems, Vol. 32, Núm. 2, pp. 134-152

  3. Scalable approximate k-NN Graph construction based on Locality Sensitive Hashing

    ESANN 2017 - Proceedings, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

2016

  1. Data discretization: Taxonomy and big data challenge

    Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 6, Núm. 1, pp. 5-21

  2. Fault detection via recurrence time statistics and one-class classification

    Pattern Recognition Letters, Vol. 84, pp. 8-14

2015

  1. Distributed Entropy Minimization Discretizer for Big Data Analysis under Apache Spark

    Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015

  2. Stream change detection via passive-aggressive classification and Bernoulli CUSUM

    Information Sciences, Vol. 305, pp. 130-145

2014

  1. Modeling consumption of contents and advertising in online newspapers

    22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2014 - Proceedings

2013

  1. A minimum volume covering approach with a set of ellipsoids

    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 35, Núm. 12, pp. 2997-3009

  2. Exact incremental learning for a single non-linear neuron based on Taylor expansion and Greville formula

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

  3. Experiencia de adaptación y plan de mejora de la materia de Sistemas Inteligentes en la titulación de Grado en Ingeniería Informática

    Actas de las XIX Jornadas de la Enseñanza Universitaria de la Informática: JENUI 2013 : Castellón, del 10 al 12 de julio de 2013

2012

  1. Information Theoretic Learning and local modeling for binary and multiclass classification

    Progress in Artificial Intelligence, Vol. 1, Núm. 4, pp. 315-328

  2. Nonlinear single layer neural network training algorithm for incremental, nonstationary and distributed learning scenarios

    Pattern Recognition, Vol. 45, Núm. 12, pp. 4536-4546

  3. One-class classifier based on extreme value statistics

    ESANN 2012 proceedings, 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

2011

  1. A robust incremental learning method for non-stationary environments

    Neurocomputing, Vol. 74, Núm. 11, pp. 1800-1808

  2. Efficiency of local models ensembles for time series prediction

    Expert Systems with Applications, Vol. 38, Núm. 6, pp. 6884-6894