Publicaciones (10) Publicaciones de JUAN LUIS SUÁREZ DÍAZ

2024

  1. Metric learning for monotonic classification: turning the space up to the limits of monotonicity

    Applied Intelligence

2022

  1. 3SHACC: Three stages hybrid agglomerative constrained clustering

    Neurocomputing, Vol. 490, pp. 441-461

2021

  1. A tutorial on distance metric learning: Mathematical foundations, algorithms, experimental analysis, prospects and challenges

    Neurocomputing, Vol. 425, pp. 300-322

  2. Distance Metric Learning with Prototype Selection for Imbalanced Classification

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

  3. Distance Metric Learning with Prototype Selection for Imbalanced Classification

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

  4. Ordinal Regression with Explainable Distance Metric Learning Based on Ordered Sequences

    2021 IEEE 8th International Conference on Data Science and Advanced Analytics, DSAA 2021

  5. Ordinal regression with explainable distance metric learning based on ordered sequences

    Machine Learning, Vol. 110, Núm. 10, pp. 2729-2762

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. COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images

    IEEE Journal of Biomedical and Health Informatics, Vol. 24, Núm. 12, pp. 3595-3605

  3. pyDML: A python library for distance metric learning

    Journal of Machine Learning Research, Vol. 21