Publicaciones en las que colabora con David Martínez Rego (30)

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. A fast learning algorithm for high dimensional problems: An application to microarrays

    ESANN 2016 - 24th European Symposium on Artificial Neural Networks

  2. Data discretization: Taxonomy and big data challenge

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

  3. 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. An online learning algorithm for adaptable topologies of neural networks

    Expert Systems with Applications, Vol. 40, Núm. 18, pp. 7294-7304

  3. 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)

  4. 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

  5. Online machine learning

    Efficiency and Scalability Methods for Computational Intellect (IGI Global), pp. 27-54

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