Publicaciones en las que colabora con DANIEL LÓPEZ SÁNCHEZ (16)

2022

  1. Tuning Database-Friendly Random Projection Matrices for Improved Distance Preservation on Specific Data

    Applied Intelligence, Vol. 52, Núm. 5, pp. 4927-4939

2020

  1. Compact bilinear pooling via kernelized random projection for fine-grained image categorization on low computational power devices

    Neurocomputing, Vol. 398, pp. 411-421

2019

  1. Preliminary study of mobile device-based speech enhancement system using lip-reading

    Advances in Intelligent Systems and Computing

  2. Visual content-based web page categorization with deep transfer learning and metric learning

    Neurocomputing, Vol. 338, pp. 418-431

2018

  1. An Ensemble Framework Coping with Instability in the Gene Selection Process

    Interdisciplinary Sciences: Computational Life Sciences, Vol. 10, Núm. 1, pp. 12-23

  2. Data-independent Random Projections from the feature-map of the homogeneous polynomial kernel of degree two

    Information Sciences, Vol. 436-437, pp. 214-226

  3. Data-independent Random Projections from the feature-space of the homogeneous polynomial kernel

    Pattern Recognition, Vol. 82, pp. 130-146

  4. Deep neural networks and transfer learning applied to multimedia web mining

    Advances in Intelligent Systems and Computing

  5. Dynamic Detection of Radical Profiles in Social Networks Using Image Feature Descriptors and a Case-Based Reasoning Methodology

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

  6. Hybridizing metric learning and case-based reasoning for adaptable clickbait detection

    Applied Intelligence, Vol. 48, Núm. 9, pp. 2967-2982

  7. Inhibition of Occluded Facial Regions for Distance-Based Face Recognition

    PROCEEDINGS OF THE TWENTY-SEVENTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE

  8. Inhibition of occluded facial regions for distance-based face recognition

    IJCAI International Joint Conference on Artificial Intelligence

2017

  1. A CBR framework with gradient boosting based feature selection for lung cancer subtype classification

    Computers in Biology and Medicine, Vol. 86, pp. 98-106

  2. A CBR system for efficient face recognition under partial occlusion

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

  3. A CBR system for image-based webpage classification: Case representation with convolutional neural networks

    FLAIRS 2017 - Proceedings of the 30th International Florida Artificial Intelligence Research Society Conference

  4. Machine learning methods for automatic cheiloscopy on facial images

    IET Seminar Digest