Publicaciones en las que colabora con JUAN JOSE RODRIGUEZ DIEZ (53)

2024

  1. Addressing data scarcity in protein fitness landscape analysis: A study on semi-supervised and deep transfer learning techniques

    Information Fusion, Vol. 102

  2. Ensemble methods and semi-supervised learning for information fusion: A review and future research directions

    Information Fusion, Vol. 107

2023

  1. A cost-effective stereo camera-based system for measuring crack propagation in fibre-reinforced concrete

    Archives of Civil and Mechanical Engineering, Vol. 23, Núm. 3

2022

  1. Correction to: Rotation Forest for multi-target regression (International Journal of Machine Learning and Cybernetics, (2022), 13, 2, (523-548), 10.1007/s13042-021-01329-1)

    International Journal of Machine Learning and Cybernetics

  2. Rotation Forest for multi-target regression

    International Journal of Machine Learning and Cybernetics, Vol. 13, Núm. 2, pp. 523-548

2021

  1. Approx-SMOTE: Fast SMOTE for Big Data on Apache Spark

    Neurocomputing, Vol. 464, pp. 432-437

  2. Experimental Assessment of Feature Extraction Techniques Applied to the Identification of Properties of Common Objects, Using a Radar System

    Applied Sciences, Vol. 11, pp. 1-24

  3. Improve teaching with modalities and collaborative groups in an LMS: an analysis of monitoring using visualisation techniques

    Journal of Computing in Higher Education, pp. 1-32

  4. Monitoring of Student Learning in Learning Management Systems: An Application of Educational Data Mining Techniques

    Applied Sciences, Vol. 11, Núm. 6, pp. 2677

2020

  1. Random Balance ensembles for multiclass imbalance learning

    Knowledge-Based Systems, Vol. 193

2018

  1. La automatización de aprendizaje automático

    Un enfoque multidisciplinar de la optimización (Servicio de Publicaciones e Imagen Institucional), pp. 119-145

  2. Local sets for multi-label instance selection

    Applied Soft Computing Journal, Vol. 68, pp. 651-666

  3. Local sets for multi-label instance selection

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

  4. Study of data transformation techniques for adapting single-label prototype selection algorithms to multi-label learning

    Expert Systems with Applications, Vol. 109, pp. 114-130

2016

  1. Instance selection for regression by discretization

    Expert Systems with Applications, Vol. 54, pp. 340-350

  2. Instance selection for regression: Adapting DROP

    Neurocomputing, Vol. 201, pp. 66-81

  3. Instance selection of linear complexity for big data

    Knowledge-Based Systems, Vol. 107, pp. 83-95

  4. Random feature weights for regression trees

    Progress in Artificial Intelligence, Vol. 5, Núm. 2, pp. 91-103

2015

  1. An experimental study on combining binarization techniques and ensemble methods of decision trees

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

  2. Diversity techniques improve the performance of the best imbalance learning ensembles

    Information Sciences, Vol. 325, pp. 98-117