Publicaciones en colaboración con investigadores/as de Universidad de Granada (291)

2024

  1. Admissible OWA operators for fuzzy numbers

    Fuzzy Sets and Systems, Vol. 480

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

    Information Fusion, Vol. 102

2023

  1. Unifying Wearable Data: A Novel Architecture Integrating Fitbit Wristbands and Smartphones for Enhanced Data Availability and Linguistic Summaries

    Lecture Notes in Networks and Systems

2022

  1. 3SHACC: Three stages hybrid agglomerative constrained clustering

    Neurocomputing, Vol. 490, pp. 441-461

  2. A comprehensive minimum cost consensus model for large scale group decision making for circular economy measurement

    Technological Forecasting and Social Change, Vol. 175

  3. Monotonic Constrained Clustering: A First Approach

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

  4. Reducing Data Complexity Using Autoencoders With Class-Informed Loss Functions

    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 44, Núm. 12, pp. 9549-9560

2021

  1. A Big Data Semantic Driven Context Aware Recommendation Method

    Advances in Intelligent Systems and Computing

  2. A cellular-based evolutionary approach for the extraction of emerging patterns in massive data streams

    Expert Systems with Applications, Vol. 183

  3. 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

  4. Decomposition-Fusion for Label Distribution Learning

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

  5. Enhancing instance-level constrained clustering through differential evolution

    Applied Soft Computing, Vol. 108

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

    Swarm and Evolutionary Computation, Vol. 66

  7. Slicer: Feature Learning for Class Separability with Least-Squares Support Vector Machine Loss and COVID-19 Chest X-Ray Case Study

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

  8. Slicer: feature Learning for Class Separability with Least-Squares Support Vector Machine Loss and COVID-19 Chest X-Ray Case Study

    Hybrid Artificial Intelligent Systems: 16th International Conference, HAIS 2021. Bilbao, Spain. September 22–24, 2021. Proceedings

  9. Synthetic Sample Generation for Label Distribution Learning

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

2020

  1. A phase change material selection using the interval-valued target-based BWM-CoCoMULTIMOORA approach: A case-study on interior building applications

    Applied Soft Computing Journal, Vol. 95

  2. 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)

  3. An analysis on the use of autoencoders for representation learning: Fundamentals, learning task case studies, explainability and challenges

    Neurocomputing, Vol. 404, pp. 93-107

  4. Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications

    Neurocomputing, Vol. 410, pp. 237-270