Publikationen, an denen er mitarbeitet JOSÉ RAMÓN CANO DE AMO (31)

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

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)

2017

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

    International Journal on Semantic Web and Information Systems, Vol. 13, Núm. 2, pp. 87-108

  2. MoNGEL: monotonic nested generalized exemplar learning

    Pattern Analysis and Applications, Vol. 20, Núm. 2, pp. 441-452

  3. Prototype selection to improve monotonic nearest neighbor

    Engineering Applications of Artificial Intelligence, Vol. 60, pp. 128-135

  4. Training set selection for monotonic ordinal classification

    Data and Knowledge Engineering, Vol. 112, pp. 94-105