Publikationen, an denen er mitarbeitet Jose Francisco Diez Pastor (31)

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. SSProteinFitnessPrediction

    Zenodo

  3. SSProteinFitnessPrediction

    Zenodo

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

2021

  1. 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

  2. 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

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

  3. Random Balance: Ensembles of variable priors classifiers for imbalanced data

    Knowledge-Based Systems, Vol. 85, pp. 96-111

2014

  1. Tree ensemble construction using a GRASP-based heuristic and annealed randomness

    Information Fusion, Vol. 20, Núm. 1, pp. 189-202

2013

  1. Random oracle ensembles for imbalanced data

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