Publicacions en què col·labora amb José Carlos Rangel Ortiz (18)

2022

  1. Automatic Understanding and Mapping of Regions in Cities Using Google Street View Images

    Applied Sciences (Switzerland), Vol. 12, Núm. 6

2020

  1. How to add new knowledge to already trained deep learning models applied to semantic localization

    Applied Intelligence, Vol. 50, Núm. 1, pp. 14-28

2019

  1. An augmented reality application for improving shopping experience in large retail stores

    Virtual Reality, Vol. 23, Núm. 3, pp. 281-291

  2. Automatic semantic maps generation from lexical annotations

    Autonomous Robots, Vol. 43, Núm. 3, pp. 697-712

  3. Semantic Localization of a Robot in a Real Home

    Advances in Intelligent Systems and Computing

2018

  1. Finding the Place: How to Train and Use Convolutional Neural Networks for a Dynamically Learning Robot

    Proceedings of the International Joint Conference on Neural Networks

  2. Finding the place: how to train and use convolutional neural networks for a dynamically learning robot

    2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)

  3. Geoffrey: An automated schedule system on a social robot for the intellectually challenged

    Computational Intelligence and Neuroscience, Vol. 2018

  4. Robot semantic localization through CNN descriptors

    Advances in Intelligent Systems and Computing (Springer Verlag), pp. 567-578

  5. Semi-supervised 3D object recognition through CNN labeling

    Applied Soft Computing Journal, Vol. 65, pp. 603-613

2017

  1. LexToMap: lexical-based topological mapping

    Advanced Robotics, Vol. 31, Núm. 5, pp. 268-281

  2. Object recognition in noisy RGB-D data using GNG

    Pattern Analysis and Applications, Vol. 20, Núm. 4, pp. 1061-1076

  3. Scene understanding for mobile robots exploiting deep learning techniques

    Scene understanding for mobile robots exploiting deep learning techniques

2016

  1. Computing image descriptors from annotations acquired from external tools

    Advances in Intelligent Systems and Computing

  2. Scene classification based on semantic labeling

    Advanced Robotics, Vol. 30, Núm. 11-12, pp. 758-769

2015

  1. Object recognition in noisy RGB-D data

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

  2. Using GNG on 3D Object Recognition in Noisy RGB-D data

    2015 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)

  3. Using GNG on 3D Object Recognition in Noisy RGB-D data

    Proceedings of the International Joint Conference on Neural Networks