Publications (37) Publications de JESUS MARIA PEREZ DE LA FUENTE

2024

  1. Driven PCTBagging: Seeking Greater Discriminating Capacity for the Same Level of Interpretability

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

2022

  1. PCTBagging: From inner ensembles to ensembles. A trade-off between discriminating capacity and interpretability

    Information Sciences, Vol. 583, pp. 219-238

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. The Consolidated Tree Construction algorithm in imbalanced defect prediction datasets

    2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings

2016

  1. BFPART: Best-First PART

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

  2. J48Consolidated WEKA paketea, adibide ezohikoen patroiak identifikatzeko tresna

    Ekaia: Euskal Herriko Unibertsitateko zientzi eta teknologi aldizkaria, Núm. 29, pp. 155-178

2015

  1. CTCHAID: Extending the application of the consolidation methodology

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

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

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

  3. 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. Datuen birlaginketa adimentsua ikasketa automatikoan

    Ekaia: Euskal Herriko Unibertsitateko zientzi eta teknologi aldizkaria, Núm. 25, pp. 217-234

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

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

  4. 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 intelligent oversampling methods in class imbalance problems

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