Argitalpenak (45) MARÍA JOSÉ GACTO COLORADO argitalpenak

2024

  1. A comparative analysis of machine learning methods for display characterization

    Displays, Vol. 85

  2. Machine learning regression algorithms for generating chemical element maps from X-ray fluorescence data of paintings

    Chemometrics and Intelligent Laboratory Systems, Vol. 248

2023

  1. Enhancing soft computing techniques to actively address imbalanced regression problems

    Expert Systems with Applications, Vol. 234

  2. Learning positive-negative rule-based fuzzy associative classifiers with a good trade-off between complexity and accuracy

    Fuzzy Sets and Systems, Vol. 465

  3. Shared gene expression signatures between visceral adipose and skeletal muscle tissues are associated with cardiometabolic traits in children with obesity

    Computers in Biology and Medicine, Vol. 163

2022

  1. Transparent but Accurate Evolutionary Regression Combining New Linguistic Fuzzy Grammar and a Novel Interpretable Linear Extension

    International Journal of Fuzzy Systems, Vol. 24, Núm. 7, pp. 3082-3103

2021

  1. An internet of things and fuzzy markup language based approach to prevent the risk of falling object accidents in the execution phase of construction projects

    Sensors, Vol. 21, Núm. 19

  2. Meta-Fuzzy Items for Fuzzy Association Rules

    IEEE International Conference on Fuzzy Systems

2020

  1. Temporal association rule mining: An overview considering the time variable as an integral or implied component

    Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 10, Núm. 4

2019

  1. Experimental study on 164 algorithms available in software tools for solving standard non-linear regression problems

    IEEE Access, Vol. 7, pp. 108916-108939

2018

  1. Evolutionary data mining and applications: A revision on the most cited papers from the last 10 years (2007–2017)

    Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 8, Núm. 2

2014

  1. Comparison and design of interpretable linguistic vs. scatter FRBSs: Gm3m generalization and new rule meaning index for global assessment and local pseudo-linguistic representation

    Information Sciences, Vol. 282, pp. 190-213

  2. METSK-HDe: A multiobjective evolutionary algorithm to learn accurate TSK-fuzzy systems in high-dimensional and large-scale regression problems

    Information Sciences, Vol. 276, pp. 63-79

2013

  1. Obtaining accurate TSK fuzzy rule-based systems by multi-objective evolutionary learning in high-dimensional regression problems

    IEEE International Conference on Fuzzy Systems

2012

  1. A multi-objective evolutionary algorithm for an effective tuning of fuzzy logic controllers in heating, ventilating and air conditioning systems

    Applied Intelligence, Vol. 36, Núm. 2, pp. 330-347

  2. Automatic laser pointer detection algorithm for environment control device systems based on template matching and genetic tuning of fuzzy rule-based systems

    International Journal of Computational Intelligence Systems, Vol. 5, Núm. 2, pp. 368-386

  3. Genetic lateral tuning for subgroup discovery with fuzzy rules using the algorithm nmeef-sd

    International Journal of Computational Intelligence Systems, Vol. 5, Núm. 2, pp. 355-367

  4. Mining fuzzy association rules from low-quality data

    Soft Computing, Vol. 16, Núm. 5, pp. 883-901

2011

  1. A double axis classification of interpretability measures for Linguistic Fuzzy Rule-Based Systems

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

  2. A fast and scalable multiobjective genetic fuzzy system for linguistic fuzzy modeling in high-dimensional regression problems

    IEEE Transactions on Fuzzy Systems, Vol. 19, Núm. 4, pp. 666-681