Argitalpenak (99) SALVADOR GARCÍA LÓPEZ argitalpenak

2024

  1. Semi-supervised clustering with two types of background knowledge: Fusing pairwise constraints and monotonicity constraints

    Information Fusion, Vol. 102

2022

  1. 3SHACC: Three stages hybrid agglomerative constrained clustering

    Neurocomputing, Vol. 490, pp. 441-461

  2. Monotonic Constrained Clustering: A First Approach

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

2021

  1. CommuniMents: A framework for detecting community based sentiments for events

    Research Anthology on Strategies for Using Social Media as a Service and Tool in Business (IGI Global), pp. 382-404

  2. Decomposition-Fusion for Label Distribution Learning

    Information Fusion, Vol. 66, pp. 64-75

  3. Enhancing instance-level constrained clustering through differential evolution

    Applied Soft Computing, Vol. 108

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

    Swarm and Evolutionary Computation, Vol. 66

  5. 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. DILS: Constrained clustering through dual iterative local search

    Computers and Operations Research, Vol. 121

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

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

  4. ProLSFEO-LDL: Prototype selection and label- specific feature evolutionary optimization for label distribution learning

    Applied Sciences (Switzerland), Vol. 10, Núm. 9

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

    Proceedings of the Annual Hawaii International Conference on System Sciences

2019

  1. A snapshot on nonstandard supervised learning problems: taxonomy, relationships, problem transformations and algorithm adaptations

    Progress in Artificial Intelligence, Vol. 8, Núm. 1

  2. Label noise filtering techniques to improve monotonic classification

    Neurocomputing, Vol. 353, pp. 83-95

  3. Monotonic classification: An overview on algorithms, performance measures and data sets

    Neurocomputing, Vol. 341, pp. 168-182

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

    Neurocomputing, Vol. 360, pp. 1-13

2018

  1. A first attempt on monotonic training set selection

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

  2. A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines

    Information Fusion, Vol. 44, pp. 78-96

  3. A practical tutorial on autoencoders for nonlinear feature fusion: taxonomy, models, software and guidelines

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España