SALVADOR GARCÍA LÓPEZ-rekin lankidetzan egindako argitalpenak (53)

2022

  1. 3SHACC: Three stages hybrid agglomerative constrained clustering

    Neurocomputing, Vol. 490, pp. 441-461

2021

  1. Enhancing instance-level constrained clustering through differential evolution

    Applied Soft Computing, Vol. 108

  2. ME-MEOA/DCC: Multiobjective constrained clustering through decomposition-based memetic elitism

    Swarm and Evolutionary Computation, Vol. 66

  3. Synthetic Sample Generation for Label Distribution Learning

    Information Sciences, Vol. 544, pp. 197-213

2020

  1. Agglomerative Constrained Clustering Through Similarity and Distance Recalculation

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

  2. Big Data Preprocessing: Enabling Smart Data

    Springer International Publishing, pp. 1-186

  3. DILS: Constrained clustering through dual iterative local search

    Computers and Operations Research, Vol. 121

  4. Fast and Scalable Approaches to Accelerate the Fuzzy k-Nearest Neighbors Classifier for Big Data

    IEEE Transactions on Fuzzy Systems, Vol. 28, Núm. 5, pp. 874-886

  5. Improving constrained clustering via decomposition-based multiobjective optimization with memetic elitism

    GECCO 2020 - Proceedings of the 2020 Genetic and Evolutionary Computation Conference

  6. Preprocessing methodology for time series: An industrial world application case study

    Information Sciences, Vol. 514, pp. 385-401

  7. Similarity-based and Iterative Label Noise Filters for Monotonic Classification

    Proceedings of the Annual Hawaii International Conference on System Sciences

2019

  1. A first approach on big data missing values imputation

    IoTBDS 2019 - Proceedings of the 4th International Conference on Internet of Things, Big Data and Security

  2. Big data preprocessing as the bridge between big data and smart data: Bigdapspark and Bigdapflink libraries

    IoTBDS 2019 - Proceedings of the 4th International Conference on Internet of Things, Big Data and Security

  3. Enabling Smart Data: Noise filtering in Big Data classification

    Information Sciences, Vol. 479, pp. 135-152

  4. From Big to Smart Data: Iterative ensemble filter for noise filtering in Big Data classification

    International Journal of Intelligent Systems, Vol. 34, Núm. 12, pp. 3260-3274

  5. Label noise filtering techniques to improve monotonic classification

    Neurocomputing, Vol. 353, pp. 83-95

  6. Smartdata: Data preprocessing to achieve smart data in R

    Neurocomputing, Vol. 360, pp. 1-13

  7. Transforming big data into smart data: An insight on the use of the k-nearest neighbors algorithm to obtain quality data

    Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 9, Núm. 2

2018

  1. A preliminary study on Hybrid Spill-Tree Fuzzy k-Nearest Neighbors for big data classification

    IEEE International Conference on Fuzzy Systems

  2. A preliminary study on Hybrid Spill-Tree Fuzzy k-Nearest Neighbors for big data classification

    2018 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE)