JAVIER FRANCISCO MUGUERZA RIVERO-rekin lankidetzan egindako argitalpenak (40)

2024

  1. Machine Learning for Prediction of Cognitive Deterioration in Patients with Early Parkinson’s Disease

    Applied Sciences (Switzerland), Vol. 14, Núm. 18

  2. Predicting Parkinson’s Disease Progression: Analyzing Prodromal Stages Through Machine Learning

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

2023

  1. Diagnostic classification of Parkinson’s disease based on non-motor manifestations and machine learning strategies

    Neural Computing and Applications, Vol. 35, Núm. 8, pp. 5603-5617

2018

  1. UnPART: PART without the ‘partial’ condition of it

    Information Sciences, Vol. 465, pp. 505-522

2017

  1. Analysis of several decision fusion strategies for clustering validation. Strategy definition, experiments and validation

    Pattern Recognition Letters, Vol. 85, pp. 42-48

  2. CT <DT>: Extending the application of the consolidation methodology even further

    Expert Systems, Vol. 34, Núm. 5

  3. Solving Poisson's equation using FFT in a GPU cluster

    Journal of Parallel and Distributed Computing, Vol. 102, pp. 28-36

2016

  1. BFPART: Best-First PART

    Information Sciences, Vol. 367-368, pp. 927-952

2015

  1. A Study of Memory Consumption and Execution Performance of the cuFFT Library

    Proceedings - 2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 3PGCIC 2015

  2. Coverage-based resampling: Building robust consolidated decision trees

    Knowledge-Based Systems, Vol. 79, pp. 51-67

  3. Efficient 3D Transpositions in Graphics Processing Units

    International Journal of Parallel Programming, Vol. 43, Núm. 5, pp. 876-891

  4. Erratum: Coverage-based resampling: Building robust consolidated decision trees (Knowledge-Based Systems (2015) 79 (51-67))

    Knowledge-Based Systems

2013

  1. An extensive comparative study of cluster validity indices

    Pattern Recognition, Vol. 46, Núm. 1, pp. 243-256

  2. Applying resampling methods for imbalanced datasets to not so imbalanced datasets

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

  3. The quest for the optimal class distribution: An approach for enhancing the effectiveness of learning via resampling methods for imbalanced data sets

    Progress in Artificial Intelligence, Vol. 2, Núm. 1, pp. 45-63

  4. Web usage and content mining to extract knowledge for modelling the users of the Bidasoa Turismo website and to adapt it

    Expert Systems with Applications, Vol. 40, Núm. 18, pp. 7478-7491

2012

  1. Adaptation of the user navigation scheme using clustering and frequent pattern mining techiques for profiling

    KDIR 2012 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval

  2. Enhancing a web usage mining based tourismwebsite adaptation with content information

    KDIR 2012 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval

  3. Web usage mining for automatic link generation

    Proc. of the 10th Int. Workshop on Modelling, Simulation, Verification and Validation of Enterprise Information Systems, MSVVEIS 2012 and 1st Int. Workshop on , WEBI 2012,in Conj. with ICEIS 2012

2011

  1. C4.5 Consolidation Process: An Alternative to IntelligentOversampling Methods in Class Imbalance Problems

    Advances in Artificial Intelligence: 14th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2011, La Laguna, Spain, November 7-11, 2011. Proceedings