Publicaciones (48) Publicaciones de JOSÉ RAMÓN CANO DE AMO

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. Label noise filtering techniques to improve monotonic classification

    Neurocomputing, Vol. 353, pp. 83-95

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

    Neurocomputing, Vol. 341, pp. 168-182

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. Credal C4.5 with refinement of parameters

    Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications: 17th International Conference, IPMU 2018, Cádiz, Spain, June 11-15, 2018, Proceedings, Part III

  3. Credal C4.5 with refinement of parameters

    Communications in Computer and Information Science

  4. Training set selection for monotonic ordinal classification

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

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